A 'recipe' is a one-place definition of an automation that every surface
renders natively. The slot schema (cron/recipe_catalog.py) is the single
source of truth; four renderers consume it, and all paths end at the same
cron.jobs.create_job — no second job engine.
Form where there's a screen, conversation where there's a chat line:
- Dashboard / GUI app: a Recipes sub-tab on the Cron page renders each
recipe's typed slots as a form (time-picker, enum dropdown, free-text);
submit POSTs /api/cron/recipes/instantiate which fills + creates the job.
- CLI / TUI / messengers: /cron-recipe lists the catalog, shows a recipe's
fields, or fills + creates from a pasted 'key slot=val' command. The shared
handler (hermes_cli/cron_recipe_cmd.py) names any missing/invalid slot so
the agent can ask a targeted follow-up.
- Docs: a generated Cron Recipes catalog page (website, .mdx + React cards)
shows each recipe with a copy-paste command and a 'Send to App' button.
- Desktop: a hermes:// URL scheme (Electron single-instance lock +
setAsDefaultProtocolClient + open-url/second-instance) routes
hermes://cron-recipe/<key>?slot=val into the chat composer pre-filled.
Typed slots (time/enum/text/weekdays) with defaults: users never type raw
cron — recipes parameterize time-of-day and weekday sets and translate to
cron expressions; a free-text 'schedule' slot is the full-flexibility escape
hatch. Consent-first throughout: nothing schedules without an explicit submit
or send.
Core:
- cron/recipe_catalog.py — CronRecipe + RecipeSlot, 5 curated recipes,
recipe_form_schema / recipe_slash_command / recipe_deeplink /
recipe_catalog_entry renderers, fill_recipe (validate + translate to
create_job kwargs).
- hermes_cli/cron_recipe_cmd.py — shared /cron-recipe handler (CLI + TUI +
gateway never drift). CommandDef + dispatch in commands.py / cli.py /
gateway/run.py.
Dashboard: GET /api/cron/recipes + POST /api/cron/recipes/instantiate
(web_server.py), CronRecipes.tsx gallery+form, Segmented sub-tab on CronPage,
api.ts methods + types.
Desktop: hermes:// scheme end to end (main.cjs deep-link router + ready-queue,
preload onDeepLink/signalDeepLinkReady, global.d.ts types, desktop-controller
composer prefill, electron-builder protocols key).
Docs: extract-cron-recipes.py generator wired into prebuild.mjs,
cron-recipes-catalog.mdx + CronRecipesCatalog React component, sidebar entry.
Generated index json gitignored like skills.json.
Tests: 23 core (catalog/slots/schedule-resolution/validation/renderers/command
handler/generator) + 5 web_server endpoint tests. E2E verified end to end:
slot fill -> create_job -> persisted job with correct schedule/deliver/origin.
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.
The Skills Hub page was stuck on a stale Feb 25 snapshot, showing only Built-in
+ Optional + Anthropic + LobeHub. The unified index already has 2078 skills
from skills.sh / ClawHub / LobeHub / GitHub taps / Claude Marketplace, and
BrowseShSource adds another ~330 — none of it was reaching the page.
Changes:
- website/scripts/extract-skills.py: read website/static/api/skills-index.json
(the unified multi-source catalog, rebuilt twice daily) as the canonical
external source. Keep the legacy skills/index-cache/ fallback for offline
builds. Add friendly per-source labels (skills.sh, ClawHub, browse.sh,
OpenAI, HuggingFace, Anthropic, LobeHub, etc.) and per-entry installCmd.
- website/src/pages/skills/index.tsx: add source pills + ordering for the 11
new sources; render installCmd from the index entry.
- website/scripts/prebuild.mjs: when no local skills-index.json exists, fetch
the live one from hermes-agent.nousresearch.com so local 'npm run build'
matches production without burning GitHub API quota.
- scripts/build_skills_index.py: crawl BrowseShSource so browse.sh entries
land in the unified index. Adjust source_order.
- tools/skills_hub.py: GitHubSource.DEFAULT_TAPS — openai/skills moved its
skills into skills/.curated/ and skills/.system/, so add both as explicit
taps (the listing code skips dotted dirs by design). Drop
VoltAgent/awesome-agent-skills (README-only, no SKILL.md files) and
MiniMax-AI/cli (singular skill, not a tap directory). Net effect: github
source jumps from 83 → 143 skills, with OpenAI properly included.
- .github/workflows/deploy-site.yml: build the unified index BEFORE running
extract-skills.py — previous order meant extract-skills always fell back
to the legacy cache. Drop the 'skip if file exists' guard; the file is
gitignored and must be rebuilt every deploy.
- .github/workflows/skills-index.yml: drop the broken 'deploy-with-index'
job (it cp'd 'landingpage/\*' which no longer exists, failing every cron
run since the landingpage move). Replace it with a workflow_dispatch
trigger of deploy-site.yml so the index refresh still reaches production
on schedule.
- website/docs/user-guide/features/skills.md: drop VoltAgent from the
default-taps doc list to match the code.
Before: 695 skills (Built-in 90, Optional 84, Anthropic 16, LobeHub 505).
After: 2168 skills across 9 source pills, including the 1212 skills.sh
entries the user expected to see.
Two machine-readable entry points to the Hermes Agent docs:
/llms.txt curated index of every doc page, one link per page
with short descriptions. ~17 KB, safe to load into
an LLM context window.
/llms-full.txt every page under website/docs/ concatenated as markdown.
~1.8 MB. For one-shot ingestion by coding agents and
RAG pipelines.
Both files are also served from /docs/llms.txt and /docs/llms-full.txt
(Docusaurus serves website/static/ under baseUrl=/docs/). Some agents and
IDE plugins probe the classic site-root path; the deploy workflow now copies
both files to _site root so either URL works.
Conforms to the emerging llmstxt.org spec: H1 project name, blockquote
summary, short install command, GitHub link, then curated sections
mirroring the docs-site navigation (Getting Started, Using Hermes,
Features, Messaging, Integrations, Guides, Developer Guide, Reference).
Generated by website/scripts/generate-llms-txt.py. Wired into prebuild.mjs
so every 'npm run build' and 'npm run start' refreshes the files alongside
the existing skills.json extraction. Both outputs are gitignored (same
precedent as src/data/skills.json).
Descriptions in llms.txt are pulled from each page's frontmatter, so they
stay current automatically. All ~80 section slugs are validated against
the filesystem at generation time; an invalid slug would fail the prebuild.
website/src/pages/skills/index.tsx imports ../../data/skills.json, but
that file is git-ignored and generated at build time by
website/scripts/extract-skills.py. CI workflows (deploy-site.yml,
docs-site-checks.yml) run the script explicitly before 'npm run build',
so production and PR checks always work — but 'npm run build' on a
contributor's machine fails with:
Module not found: Can't resolve '../../data/skills.json'
because the extraction step was never wired into the npm scripts.
Adds a prebuild/prestart hook that runs extract-skills.py automatically.
If python3 or pyyaml aren't installed locally, writes an empty
skills.json instead of hard-failing — the Skills Hub page renders with
an empty state, the rest of the site builds normally, and CI (which
always has the deps) still generates the full catalog for production.
