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Completes the Windows-gating coverage for the built-in skills/ tree. Every
bundled SKILL.md now carries an explicit platforms: declaration so the
loader (agent.skill_utils.skill_matches_platform) can skip-load skills
that don't fit the current OS.
74 skills declared cross-platform (platforms: [linux, macos, windows]):
Creative (16): ascii-art, ascii-video, architecture-diagram, baoyu-comic,
baoyu-infographic, claude-design, creative-ideation, design-md,
excalidraw, humanizer, manim-video, p5js, pixel-art,
popular-web-designs, pretext, sketch, songwriting-and-ai-music,
touchdesigner-mcp
Autonomous agents: claude-code, codex, hermes-agent, opencode
Data/devops: jupyter-live-kernel, kanban-orchestrator, kanban-worker,
webhook-subscriptions, dogfood, codebase-inspection
GitHub: github-auth, github-code-review, github-issues,
github-pr-workflow, github-repo-management
Media: gif-search, heartmula, songsee, spotify, youtube-content
MCP / email / gaming / notes / smart-home: native-mcp, himalaya,
pokemon-player, obsidian, openhue
mlops (non-broken): weights-and-biases, huggingface-hub, llama-cpp,
outlines, segment-anything-model, dspy, trl-fine-tuning
Productivity: airtable, google-workspace, linear, maps, nano-pdf,
notion, ocr-and-documents, powerpoint
Red-teaming / research: godmode, arxiv, blogwatcher, llm-wiki,
polymarket
Software-dev: debugging-hermes-tui-commands, hermes-agent-skill-authoring,
node-inspect-debugger, plan, requesting-code-review, spike,
subagent-driven-development, systematic-debugging,
test-driven-development, writing-plans
Misc: yuanbao
5 skills gated from Windows (platforms: [linux, macos]):
mlops/inference/vllm (serving-llms-vllm)
vLLM is officially Linux-only; Windows requires WSL.
mlops/training/axolotl
Axolotl's flash-attn + deepspeed + bitsandbytes stack is Linux-first.
mlops/training/unsloth
Requires Triton + xformers + flash-attn — Linux only in practice.
mlops/models/audiocraft (audiocraft-audio-generation)
torchaudio ffmpeg backend + encodec dependencies are Linux-first.
mlops/inference/obliteratus
Research abliteration workflow; relies on Linux-focused pytorch
kernels and MLX — no first-class Windows path.
Same strict-over-lenient policy as the optional-skills sweep: when the
underlying tool's Windows support is rough, missing, or WSL-only, gate the
skill. Easier to un-gate after verified Windows support lands than to leak
partial support that manifests as mid-task failures.
Combined with prior commits in this branch, every bundled SKILL.md
(skills/ + optional-skills/) now has a platforms: declaration.
165 lines
7.4 KiB
Markdown
165 lines
7.4 KiB
Markdown
---
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name: hermes-agent-skill-authoring
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description: "Author in-repo SKILL.md: frontmatter, validator, structure."
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version: 1.0.0
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author: Hermes Agent
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license: MIT
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platforms: [linux, macos, windows]
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metadata:
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hermes:
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tags: [skills, authoring, hermes-agent, conventions, skill-md]
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related_skills: [writing-plans, requesting-code-review]
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---
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# Authoring Hermes-Agent Skills (in-repo)
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## Overview
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There are two places a SKILL.md can live:
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1. **User-local:** `~/.hermes/skills/<maybe-category>/<name>/SKILL.md` — personal, not shared. Created via `skill_manage(action='create')`.
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2. **In-repo (this skill is about this case):** `/home/bb/hermes-agent/skills/<category>/<name>/SKILL.md` — committed, shipped with the package. Use `write_file` + `git add`. `skill_manage(action='create')` does NOT target this tree.
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## When to Use
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- User asks you to add a skill "in this branch / repo / commit"
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- You're committing a reusable workflow that should ship with hermes-agent
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- You're editing an existing skill under `/home/bb/hermes-agent/skills/` (use `patch` for small edits, `write_file` for rewrites; `skill_manage` still works for patch on in-repo skills, but not for `create`)
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## Required Frontmatter
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Source of truth: `tools/skill_manager_tool.py::_validate_frontmatter`. Hard requirements:
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- Starts with `---` as the first bytes (no leading blank line).
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- Closes with `\n---\n` before the body.
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- Parses as a YAML mapping.
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- `name` field present.
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- `description` field present, ≤ **1024 chars** (`MAX_DESCRIPTION_LENGTH`).
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- Non-empty body after the closing `---`.
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Peer-matched shape used by every skill under `skills/software-development/`:
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```yaml
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---
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name: my-skill-name # lowercase, hyphens, ≤64 chars (MAX_NAME_LENGTH)
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description: Use when <trigger>. <one-line behavior>.
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version: 1.0.0
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author: Hermes Agent
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license: MIT
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metadata:
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hermes:
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tags: [short, descriptive, tags]
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related_skills: [other-skill, another-skill]
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---
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```
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`version` / `author` / `license` / `metadata` are NOT enforced by the validator, but every peer has them — omit and your skill sticks out.
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## Size Limits
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- Description: ≤ 1024 chars (enforced).
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- Full SKILL.md: ≤ 100,000 chars (enforced as `MAX_SKILL_CONTENT_CHARS`, ~36k tokens).
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- Peer skills in `software-development/` sit at **8-14k chars**. Aim for that range. If you're pushing past 20k, split into `references/*.md` and reference them from SKILL.md.
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## Peer-Matched Structure
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Every in-repo skill follows roughly:
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```
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# <Title>
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## Overview
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One or two paragraphs: what and why.
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## When to Use
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- Bulleted triggers
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- "Don't use for:" counter-triggers
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## <Topic sections specific to the skill>
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- Quick-reference tables are common
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- Code blocks with exact commands
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- Hermes-specific recipes (tests via scripts/run_tests.sh, ui-tui paths, etc.)
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## Common Pitfalls
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Numbered list of mistakes and their fixes.
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## Verification Checklist
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- [ ] Checkbox list of post-action verifications
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## One-Shot Recipes (optional)
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Named scenarios → concrete command sequences.
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```
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Not every section is mandatory, but `Overview` + `When to Use` + actionable body + pitfalls are the minimum for the skill to feel like a peer.
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## Directory Placement
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```
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skills/<category>/<skill-name>/SKILL.md
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```
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Categories currently in repo (confirm with `ls skills/`): `autonomous-ai-agents`, `creative`, `data-science`, `devops`, `dogfood`, `email`, `gaming`, `github`, `leisure`, `mcp`, `media`, `mlops/*`, `note-taking`, `productivity`, `red-teaming`, `research`, `smart-home`, `social-media`, `software-development`.
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Pick the closest existing category. Don't invent new top-level categories casually.
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## Workflow
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1. **Survey peers** in the target category:
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```
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ls skills/<category>/
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```
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Read 2-3 peer SKILL.md files to match tone and structure.
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2. **Check validator constraints** in `tools/skill_manager_tool.py` if unsure.
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3. **Draft** with `write_file` to `skills/<category>/<name>/SKILL.md`.
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4. **Validate locally**:
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```python
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import yaml, re, pathlib
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content = pathlib.Path("skills/<category>/<name>/SKILL.md").read_text()
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assert content.startswith("---")
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m = re.search(r'\n---\s*\n', content[3:])
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fm = yaml.safe_load(content[3:m.start()+3])
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assert "name" in fm and "description" in fm
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assert len(fm["description"]) <= 1024
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assert len(content) <= 100_000
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```
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5. **Git add + commit** on the active branch.
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6. **Note:** the CURRENT session's skill loader is cached — `skill_view` / `skills_list` will not see the new skill until a new session. This is expected, not a bug.
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## Cross-Referencing Other Skills
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`metadata.hermes.related_skills` unions both trees (`skills/` in-repo and `~/.hermes/skills/`) at load time. You CAN reference a user-local skill from an in-repo skill, but it won't resolve for other users who clone the repo fresh. Prefer referencing only in-repo skills from in-repo skills. If a frequently-referenced skill lives only in `~/.hermes/skills/`, consider promoting it to the repo.
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## Editing Existing In-Repo Skills
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- **Small fix (typo, added pitfall, tightened trigger):** `skill_manage(action='patch', name=..., old_string=..., new_string=...)` works fine on in-repo skills.
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- **Major rewrite:** `write_file` the whole SKILL.md. `skill_manage(action='edit')` also works but requires supplying the full new content.
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- **Adding supporting files:** `write_file` to `skills/<category>/<name>/references/<file>.md`, `templates/<file>`, or `scripts/<file>`. `skill_manage(action='write_file')` also works and enforces the references/templates/scripts/assets subdir allowlist.
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- **Always commit** the edit — in-repo skills are source, not runtime state.
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## Common Pitfalls
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1. **Using `skill_manage(action='create')` for an in-repo skill.** It writes to `~/.hermes/skills/`, not the repo tree. Use `write_file` for in-repo creation.
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2. **Leading whitespace before `---`.** The validator checks `content.startswith("---")`; any leading blank line or BOM fails validation.
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3. **Description too generic.** Peer descriptions start with "Use when ..." and describe the *trigger class*, not the one task. "Use when debugging X" > "Debug X".
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4. **Forgetting the author/license/metadata block.** Not validator-enforced, but every peer has it; omitting makes the skill look half-finished.
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5. **Writing a skill that duplicates a peer.** Before creating, `ls skills/<category>/` and open 2-3 peers. Prefer extending an existing skill to creating a narrow sibling.
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6. **Expecting the current session to see the new skill.** It won't. The skill loader is initialized at session start. Verify in a fresh session or via `skill_view` using the exact path.
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7. **Linking to skills that don't exist in-repo.** `related_skills: [some-user-local-skill]` works for you but breaks for other clones. Prefer only in-repo links.
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## Verification Checklist
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- [ ] File is at `skills/<category>/<name>/SKILL.md` (not in `~/.hermes/skills/`)
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- [ ] Frontmatter starts at byte 0 with `---`, closes with `\n---\n`
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- [ ] `name`, `description`, `version`, `author`, `license`, `metadata.hermes.{tags, related_skills}` all present
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- [ ] Name ≤ 64 chars, lowercase + hyphens
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- [ ] Description ≤ 1024 chars and starts with "Use when ..."
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- [ ] Total file ≤ 100,000 chars (aim for 8-15k)
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- [ ] Structure: `# Title` → `## Overview` → `## When to Use` → body → `## Common Pitfalls` → `## Verification Checklist`
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- [ ] `related_skills` references resolve in-repo (or are explicitly OK to be user-local)
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- [ ] `git add skills/<category>/<name>/ && git commit` completed on the intended branch
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