mirror of
https://github.com/NousResearch/hermes-agent.git
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a1eaad2fc0
PR #33748 grew the live skills index from ~2k skills to ~69k, which made the previous build-time bundling strategy untenable: the skills page's JS chunk was about to balloon from ~1MB to ~35MB. Initial page load on mobile became unusable, search lagged on every keystroke against the 68k-item array, and JSON.parse blocked the main thread at startup. Three changes: 1. extract-skills.py writes skills.json + skills-meta.json into website/static/api/ instead of website/src/data/. Static-served by Vercel as /docs/api/skills.json (gzipped on the wire), same CDN that already serves skills-index.json. 2. skills/index.tsx drops the static import and fetches both files in parallel on mount. Loading state shows '…' for the count; failures surface a small error pill instead of blanking the page. 3. Search is debounced 150ms and runs against a precomputed lowercase haystack stamped onto each row at load time. Before: array-join + toLowerCase per row per keystroke on a 68k array. After: single .includes() per row, deferred until typing settles. Validation: | | before | after | |---|---|---| | skills.json location | src/data/ (bundled) | static/api/ (CDN) | | Largest JS chunk | would be ~35MB at 68k skills | 659 KB | | Initial page render | wait for full parse | immediate, fetch async | | Per-keystroke filter | join+lowercase x 68k rows | single includes x 68k rows | | Debounce | none | 150ms | Built locally for both en and zh-Hans locales; the 34MB skills.json now lives in build/api/ and is served separately rather than inlined into the page's bundle. skills.json and skills-meta.json added to .gitignore — they were already build artifacts, but the gitignore only listed skills-index.json before.
571 lines
20 KiB
Python
571 lines
20 KiB
Python
#!/usr/bin/env python3
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"""Extract skill metadata into website/static/api/skills.json for the Skills Hub page.
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Two data sources:
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1. Local SKILL.md files under ``skills/`` (built-in) and ``optional-skills/``
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(official optional). These give us full metadata — overview prose, version,
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license, env vars, commands — that the unified index doesn't carry.
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2. The unified Hermes Skills Index at ``website/static/api/skills-index.json``,
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built twice daily by ``scripts/build_skills_index.py`` (workflow
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``.github/workflows/skills-index.yml``). Covers skills.sh, ClawHub, browse.sh,
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LobeHub, Claude Marketplace, well-known endpoints, and the GitHub taps
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(openai/skills, anthropics/skills, huggingface/skills, VoltAgent, etc.).
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Legacy fallback: if the unified index is missing AND ``skills/index-cache/``
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contains pre-baked JSON dumps, we read those (preserves behaviour from before
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the unified index existed).
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"""
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import json
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import os
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from collections import Counter
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from datetime import datetime, timezone
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import yaml
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REPO_ROOT = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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LOCAL_SKILL_DIRS = [
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("skills", "built-in"),
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("optional-skills", "optional"),
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]
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UNIFIED_INDEX_PATH = os.path.join(REPO_ROOT, "website", "static", "api", "skills-index.json")
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LEGACY_INDEX_CACHE_DIR = os.path.join(REPO_ROOT, "skills", "index-cache")
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# Output to static/api/ so the file is CDN-served at /api/skills.json
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# rather than bundled into the page's JS chunk. At 50k+ skills the
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# bundled payload was ~26 MB; lazy-fetch keeps the initial page load
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# fast and shrinks the JS chunk back to a few hundred KB.
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OUTPUT = os.path.join(REPO_ROOT, "website", "static", "api", "skills.json")
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META_OUTPUT = os.path.join(REPO_ROOT, "website", "static", "api", "skills-meta.json")
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CATEGORY_LABELS = {
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"apple": "Apple",
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"autonomous-ai-agents": "AI Agents",
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"blockchain": "Blockchain",
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"communication": "Communication",
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"creative": "Creative",
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"data-science": "Data Science",
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"devops": "DevOps",
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"dogfood": "Dogfood",
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"domain": "Domain",
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"email": "Email",
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"gaming": "Gaming",
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"gifs": "GIFs",
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"github": "GitHub",
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"health": "Health",
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"inference-sh": "Inference",
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"leisure": "Leisure",
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"mcp": "MCP",
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"media": "Media",
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"migration": "Migration",
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"mlops": "MLOps",
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"note-taking": "Note-Taking",
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"productivity": "Productivity",
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"red-teaming": "Red Teaming",
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"research": "Research",
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"security": "Security",
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"smart-home": "Smart Home",
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"social-media": "Social Media",
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"software-development": "Software Dev",
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"translation": "Translation",
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"other": "Other",
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}
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# Map the source ids the unified index emits to the friendly labels the
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# Skills Hub UI uses. Keep these in sync with the SOURCE_CONFIG dict in
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# website/src/pages/skills/index.tsx.
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UNIFIED_SOURCE_LABELS = {
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"official": "official", # treated as our "optional" tier in the UI
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"skills.sh": "skills.sh",
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"skills-sh": "skills.sh",
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"clawhub": "ClawHub",
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"browse-sh": "browse.sh",
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"lobehub": "LobeHub",
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"claude-marketplace": "Claude Marketplace",
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"well-known": "Well-Known",
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"github": "GitHub", # default for non-named GitHub taps
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}
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# Repo-specific labels for the unified index's "github" source. Lets us
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# call out the well-known taps with their vendor name instead of a generic
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# "GitHub" pill. Match is checked against the leading "owner/repo/" prefix
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# of the identifier.
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GITHUB_TAP_LABELS = {
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"openai/skills": "OpenAI",
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"anthropics/skills": "Anthropic",
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"huggingface/skills": "HuggingFace",
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"VoltAgent/awesome-agent-skills": "VoltAgent",
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"garrytan/gstack": "gstack",
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"MiniMax-AI/cli": "MiniMax",
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}
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# Legacy filename -> label mapping for the deprecated skills/index-cache/
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# fallback. Used only when website/static/api/skills-index.json is absent.
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LEGACY_SOURCE_LABELS = {
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"anthropics_skills": "Anthropic",
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"openai_skills": "OpenAI",
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"claude_marketplace": "Claude Marketplace",
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"lobehub": "LobeHub",
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}
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def _extract_overview(body: str) -> str:
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"""Pull the first non-heading paragraph from a SKILL.md body."""
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if not body:
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return ""
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paragraphs = [p.strip() for p in body.split("\n\n") if p.strip()]
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for p in paragraphs[:6]:
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if p.startswith("#"):
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lines = [ln for ln in p.split("\n") if ln.strip() and not ln.lstrip().startswith("#")]
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if lines:
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p = "\n".join(lines).strip()
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else:
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continue
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if p.startswith(":::"):
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continue
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if p.startswith("```") or p.startswith("~~~"):
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continue
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if len(p) > 500:
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cut = p[:500]
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last_period = cut.rfind(". ")
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if last_period > 200:
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p = cut[: last_period + 1]
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else:
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p = cut.rstrip() + "…"
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return p
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return ""
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def _docs_page_path(rel_dir: str, source_label: str) -> str:
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"""Compute the per-skill docs-site URL slug for a given SKILL.md location.
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Mirrors the slug logic in website/scripts/generate-skill-docs.py:
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bundled + skills/<cat>/<slug>/SKILL.md -> bundled/<cat>/<cat>-<slug>
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bundled + skills/<cat>/<sub>/<slug>/SKILL.md -> bundled/<cat>/<cat>-<sub>-<slug>
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optional + optional-skills/<cat>/<slug>/SKILL.md -> optional/<cat>/<cat>-<slug>
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"""
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parts = [p for p in rel_dir.split(os.sep) if p]
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if not parts:
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return ""
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source_dir = "bundled" if source_label == "built-in" else "optional"
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if len(parts) == 1:
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category, slug = parts[0], parts[0]
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return f"{source_dir}/{category}/{category}-{slug}"
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if len(parts) == 2:
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category, slug = parts
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return f"{source_dir}/{category}/{category}-{slug}"
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if len(parts) == 3:
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category, sub, slug = parts
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return f"{source_dir}/{category}/{category}-{sub}-{slug}"
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return ""
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def _install_command(source: str, identifier: str, name: str) -> str:
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"""Build the ``hermes skills install …`` command for a unified-index entry.
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These show up in the SkillCard panel so users can copy-paste them. We try
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to use the most idiomatic identifier per source.
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"""
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if not identifier:
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return f"hermes skills install {name}"
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src = source.lower()
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if src in {"official", "built-in", "optional"}:
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# OptionalSkillSource emits identifiers like "official/security/1password"
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return f"hermes skills install {identifier}"
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if src in {"skills.sh", "skills-sh"}:
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# Already wrapped as "skills-sh/owner/repo/skill" by the source
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return f"hermes skills install {identifier}"
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if src == "clawhub":
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return f"hermes skills install clawhub/{identifier}"
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if src == "browse-sh":
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# Identifier already includes the "browse-sh/" prefix from BrowseShSource
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return f"hermes skills install {identifier}"
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if src == "lobehub":
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return f"hermes skills install {identifier}"
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if src == "claude-marketplace":
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return f"hermes skills install {identifier}"
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if src == "github":
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return f"hermes skills install {identifier}"
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if src == "well-known":
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return f"hermes skills install {identifier}"
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return f"hermes skills install {identifier}"
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def extract_local_skills():
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skills = []
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for base_dir, source_label in LOCAL_SKILL_DIRS:
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base_path = os.path.join(REPO_ROOT, base_dir)
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if not os.path.isdir(base_path):
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continue
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for root, _dirs, files in os.walk(base_path):
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if "SKILL.md" not in files:
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continue
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skill_path = os.path.join(root, "SKILL.md")
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with open(skill_path, encoding="utf-8") as f:
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content = f.read()
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if not content.startswith("---"):
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continue
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parts = content.split("---", 2)
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if len(parts) < 3:
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continue
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try:
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fm = yaml.safe_load(parts[1])
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except yaml.YAMLError:
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continue
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if not fm or not isinstance(fm, dict):
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continue
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body = parts[2].strip()
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overview = _extract_overview(body)
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rel = os.path.relpath(root, base_path)
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category = rel.split(os.sep)[0]
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tags = []
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metadata = fm.get("metadata")
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if isinstance(metadata, dict):
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hermes_meta = metadata.get("hermes", {})
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if isinstance(hermes_meta, dict):
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tags = hermes_meta.get("tags", [])
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if not tags:
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tags = fm.get("tags", [])
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if isinstance(tags, str):
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tags = [tags]
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prereq = fm.get("prerequisites") or {}
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env_vars = []
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commands = []
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if isinstance(prereq, dict):
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ev = prereq.get("env_vars")
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if isinstance(ev, list):
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env_vars = [str(x) for x in ev if x]
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elif isinstance(ev, str) and ev.strip():
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env_vars = [ev.strip()]
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cmds = prereq.get("commands")
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if isinstance(cmds, list):
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commands = [str(x) for x in cmds if x]
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elif isinstance(cmds, str) and cmds.strip():
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commands = [cmds.strip()]
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skills.append({
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"name": fm.get("name", os.path.basename(root)),
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"description": fm.get("description", ""),
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"overview": overview,
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"category": category,
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"categoryLabel": CATEGORY_LABELS.get(category, category.replace("-", " ").title()),
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"source": source_label,
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"tags": tags or [],
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"platforms": fm.get("platforms", []),
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"author": fm.get("author", ""),
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"version": fm.get("version", ""),
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"license": fm.get("license", ""),
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"envVars": env_vars,
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"commands": commands,
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"docsPath": _docs_page_path(rel, source_label),
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})
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return skills
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def _label_for_github_identifier(identifier: str) -> str:
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"""Return a friendly source label for a unified-index 'github' entry."""
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if not identifier:
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return "GitHub"
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for prefix, label in GITHUB_TAP_LABELS.items():
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if identifier.startswith(prefix + "/") or identifier == prefix:
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return label
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return "GitHub"
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def extract_unified_index_skills():
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"""Read website/static/api/skills-index.json — the canonical multi-source index.
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Returns ``(skills, meta)`` where ``meta`` carries the index's
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``generated_at`` timestamp and total count so the Skills Hub page can
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show a "Last refreshed …" badge. Returns ``(None, None)`` when the
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index file is absent or malformed (caller falls back to the legacy
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cache).
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"""
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if not os.path.isfile(UNIFIED_INDEX_PATH):
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return None, None
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try:
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with open(UNIFIED_INDEX_PATH, encoding="utf-8") as f:
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data = json.load(f)
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except (json.JSONDecodeError, OSError) as e:
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print(f"[extract-skills] Failed to read unified index: {e}")
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return None, None
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if not isinstance(data, dict) or "skills" not in data:
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return None, None
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meta = {
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"indexGeneratedAt": data.get("generated_at", ""),
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"indexSkillCount": data.get("skill_count", 0),
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"indexVersion": data.get("version", 0),
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}
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out = []
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for entry in data.get("skills", []):
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if not isinstance(entry, dict):
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continue
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source_id = (entry.get("source") or "").lower()
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identifier = entry.get("identifier", "") or ""
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name = entry.get("name") or identifier.split("/")[-1] or "unknown"
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description = (entry.get("description") or "").split("\n")[0]
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if len(description) > 280:
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description = description[:277] + "…"
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tags = entry.get("tags", []) or []
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if not isinstance(tags, list):
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tags = []
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# Skip official entries here — extract_local_skills() already covered
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# those from optional-skills/ with full metadata (overview, version, etc.).
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if source_id == "official":
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continue
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# Map source id -> display label
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if source_id == "github":
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source_label = _label_for_github_identifier(identifier)
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else:
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source_label = UNIFIED_SOURCE_LABELS.get(source_id, source_id or "community")
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# Guess a category from tags so the UI's category filter has a chance.
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category = _guess_category(tags)
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extra = entry.get("extra", {}) or {}
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# Author hint from extras when available (skills.sh has installs;
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# clawhub doesn't expose author).
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author = ""
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if source_id in {"skills.sh", "skills-sh"}:
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repo = entry.get("repo", "")
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if repo:
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author = repo.split("/")[0]
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install_cmd = _install_command(source_id, identifier, name)
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out.append({
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"name": name,
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"description": description,
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"overview": "",
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"category": category,
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"categoryLabel": "", # filled in _consolidate_small_categories
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"source": source_label,
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"tags": tags,
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"platforms": [],
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"author": author,
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"version": "",
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"license": "",
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"envVars": [],
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"commands": [],
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"docsPath": "",
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"identifier": identifier,
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"installCmd": install_cmd,
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})
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return out, meta
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def extract_legacy_cache_skills():
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"""Read the deprecated skills/index-cache/ snapshots — fallback only."""
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skills = []
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if not os.path.isdir(LEGACY_INDEX_CACHE_DIR):
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return skills
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for filename in os.listdir(LEGACY_INDEX_CACHE_DIR):
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if not filename.endswith(".json"):
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continue
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filepath = os.path.join(LEGACY_INDEX_CACHE_DIR, filename)
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try:
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with open(filepath, encoding="utf-8") as f:
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data = json.load(f)
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except (json.JSONDecodeError, OSError):
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continue
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stem = filename.replace(".json", "")
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source_label = "community"
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for key, label in LEGACY_SOURCE_LABELS.items():
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if key in stem:
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source_label = label
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break
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if isinstance(data, dict) and "agents" in data:
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for agent in data["agents"]:
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if not isinstance(agent, dict):
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continue
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skills.append({
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"name": agent.get("identifier", agent.get("meta", {}).get("title", "unknown")),
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"description": (agent.get("meta", {}).get("description", "") or "").split("\n")[0][:200],
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"category": _guess_category(agent.get("meta", {}).get("tags", [])),
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"categoryLabel": "",
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"source": source_label,
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"tags": agent.get("meta", {}).get("tags", []),
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"platforms": [],
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"author": agent.get("author", ""),
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"version": "",
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})
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continue
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if isinstance(data, list):
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for entry in data:
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if not isinstance(entry, dict) or not entry.get("name"):
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continue
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if "skills" in entry and isinstance(entry["skills"], list):
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continue
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skills.append({
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"name": entry.get("name", ""),
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"description": entry.get("description", ""),
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"category": "uncategorized",
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"categoryLabel": "",
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"source": source_label,
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"tags": entry.get("tags", []),
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"platforms": [],
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"author": "",
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"version": "",
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})
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for s in skills:
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if not s["categoryLabel"]:
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s["categoryLabel"] = CATEGORY_LABELS.get(
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s["category"],
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s["category"].replace("-", " ").title() if s["category"] else "Uncategorized",
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)
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return skills
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TAG_TO_CATEGORY = {}
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for _cat, _tags in {
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"software-development": [
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"programming", "code", "coding", "software-development",
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"frontend-development", "backend-development", "web-development",
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"react", "python", "typescript", "java", "rust",
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],
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"creative": ["writing", "design", "creative", "art", "image-generation"],
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"research": ["education", "academic", "research"],
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"social-media": ["marketing", "seo", "social-media"],
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"productivity": ["productivity", "business"],
|
|
"data-science": ["data", "data-science"],
|
|
"mlops": ["machine-learning", "deep-learning"],
|
|
"devops": ["devops"],
|
|
"gaming": ["gaming", "game", "game-development"],
|
|
"media": ["music", "media", "video"],
|
|
"health": ["health", "fitness"],
|
|
"translation": ["translation", "language-learning"],
|
|
"security": ["security", "cybersecurity"],
|
|
}.items():
|
|
for _t in _tags:
|
|
TAG_TO_CATEGORY[_t] = _cat
|
|
|
|
|
|
def _guess_category(tags: list) -> str:
|
|
if not tags:
|
|
return "uncategorized"
|
|
for tag in tags:
|
|
if not isinstance(tag, str):
|
|
continue
|
|
cat = TAG_TO_CATEGORY.get(tag.lower())
|
|
if cat:
|
|
return cat
|
|
first = tags[0] if isinstance(tags[0], str) else ""
|
|
return first.lower().replace(" ", "-") if first else "uncategorized"
|
|
|
|
|
|
MIN_CATEGORY_SIZE = 4
|
|
|
|
|
|
def _consolidate_small_categories(skills: list) -> list:
|
|
for s in skills:
|
|
if s["category"] in {"uncategorized", ""}:
|
|
s["category"] = "other"
|
|
s["categoryLabel"] = "Other"
|
|
|
|
counts = Counter(s["category"] for s in skills)
|
|
small_cats = {cat for cat, n in counts.items() if n < MIN_CATEGORY_SIZE}
|
|
|
|
for s in skills:
|
|
if s["category"] in small_cats:
|
|
s["category"] = "other"
|
|
s["categoryLabel"] = "Other"
|
|
elif not s["categoryLabel"]:
|
|
s["categoryLabel"] = CATEGORY_LABELS.get(
|
|
s["category"],
|
|
s["category"].replace("-", " ").title() if s["category"] else "Uncategorized",
|
|
)
|
|
|
|
return skills
|
|
|
|
|
|
def main():
|
|
local = extract_local_skills()
|
|
|
|
unified, index_meta = extract_unified_index_skills()
|
|
if unified is not None:
|
|
external = unified
|
|
external_source = "unified index"
|
|
else:
|
|
external = extract_legacy_cache_skills()
|
|
external_source = "legacy index-cache"
|
|
index_meta = None
|
|
print(
|
|
f"[extract-skills] WARNING: unified index not found at "
|
|
f"{UNIFIED_INDEX_PATH}; falling back to {external_source}. "
|
|
f"Run `python3 scripts/build_skills_index.py` to refresh."
|
|
)
|
|
|
|
all_skills = _consolidate_small_categories(local + external)
|
|
|
|
source_order = {"built-in": 0, "optional": 1}
|
|
all_skills.sort(key=lambda s: (
|
|
source_order.get(s["source"], 2),
|
|
1 if s["category"] == "other" else 0,
|
|
s["category"],
|
|
s["name"],
|
|
))
|
|
|
|
os.makedirs(os.path.dirname(OUTPUT), exist_ok=True)
|
|
with open(OUTPUT, "w", encoding="utf-8") as f:
|
|
# Minified — file is served over the wire, not read by humans.
|
|
# At 50k+ skills the indented version was ~30% larger.
|
|
json.dump(all_skills, f, separators=(",", ":"), ensure_ascii=False)
|
|
|
|
# Sidecar meta file so the page can render a "Last refreshed" badge
|
|
# without changing the shape of skills.json.
|
|
by_source = Counter(s["source"] for s in all_skills)
|
|
meta = {
|
|
"extractedAt": datetime.now(timezone.utc).isoformat(),
|
|
"totalSkills": len(all_skills),
|
|
"localSkills": len(local),
|
|
"externalSkills": len(external),
|
|
"externalSource": external_source,
|
|
"bySource": dict(by_source.most_common()),
|
|
}
|
|
if index_meta:
|
|
meta.update(index_meta)
|
|
with open(META_OUTPUT, "w", encoding="utf-8") as f:
|
|
json.dump(meta, f, separators=(",", ":"), ensure_ascii=False)
|
|
|
|
print(f"Extracted {len(all_skills)} skills to {OUTPUT}")
|
|
print(f" {len(local)} local ({sum(1 for s in local if s['source'] == 'built-in')} built-in, "
|
|
f"{sum(1 for s in local if s['source'] == 'optional')} optional)")
|
|
print(f" {len(external)} from {external_source}")
|
|
|
|
print("By source:")
|
|
for src, count in by_source.most_common():
|
|
print(f" {src}: {count}")
|
|
if index_meta and index_meta.get("indexGeneratedAt"):
|
|
print(f"Unified index built at: {index_meta['indexGeneratedAt']}")
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|