create-skill

> **${var}** — A natural-language description of the skill to create. **Required.** Example: `"monitor Hacker News for AI papers and send a summary"` or `"track gas prices on Ethereum and alert when below 10 gwei"`. <!-- autoresearch: variation B — sharper output via PR-first workflow + quality enforcement + exit taxonomy + new-secret guard --> If `${var}` is empty, exit `CREATE_SKILL_NO_VAR`: ```bash ./notify "create-skill aborted: var empty — pass a description e.g. \"monitor X for Y\"" ``` Then stop. Today is ${today}. Your task is to generate a complete, production-ready skill from `${var}`, score it against a quality bar, and ship it as a PR — **never commit directly to `main`**. ## Steps 1. **Parse the request.** Extract from `${var}`: - Core action verb (monitor, fetch, generate, analyze, alert, track, scan, etc.) - Data source(s) — APIs, websites, RSS, on-chain, GitHub, etc. - Output format — notification, article, file, PR, dashboard, etc. - Configurable parameter(s) the new skill will accept via its own `${var}` - Suggested cadence (daily, hourly, weekly, on-demand) Save a one-paragraph structured request summary; you'll use it in the PR body. 2. **Duplicate detection (deep — not just `ls`).** Find functional overlap, not just name collision. ```bash keywords=$(echo "${var}" | tr '[:upper:]' '[:lower:]' | grep -oE '[a-z]{4,}' \ | grep -vE '^(send|with|from|that|this|when|each|into|over|some|like|just|than|then|also|will|have|been|using|monitor|track|fetch|alert)$' \ | sort -u) for kw in $keywords; do grep -liE "$kw" skills/*/SKILL.md | head -5 done ``` Read the top 3 candidates fully. For each, judge: does it already do this? Could the request be solved by running an existing skill with a different `var=`? - **Near-duplicate exists** → exit `CREATE_SKILL_DUPLICATE`. Notify with the existing skill name and a one-line suggestion ("use existing `{skill}` with `var={...}` instead"). Stop. - **Functionally adjacent** → design the new skill to complement (different angle/cadence/output). Document the boundary in the PR body. 3. **Research the data sources.** For every API or data source the new skill needs: - **WebSearch** for the current API documentation. Cross-check against a secondary source when feasible (a recent GitHub repo using it, an official changelog, or a Stack Overflow answer dated ≥2026) to confirm the endpoint isn't deprecated. - **WebFetch** the canonical docs URL — record it as a comment in the SKILL.md and in the PR body's "Sources researched" section. - Identify exact endpoints, required headers, auth scheme, response schema, and rate limits. - Note every required environment variable / API key. - Determine fallback strategy when an optional API key isn't set (WebSearch / WebFetch / cached data / public endpoint). **Research bar (soft):** at least one confirmed source URL or exemplar (a working docs page or a public repo using the API). If none, do **not** hard-abort — log `CREATE_SKILL_INSUFFICIENT_RESEARCH`, ask the operator via `./notify` with what was tried and why each source failed, and stop. The operator can re-dispatch with a clearer prompt or a source hint. 4. **New-secret guard.** Secrets values are never inspectable from the workflow — only names are listed. Use `gh api repos/:owner/:repo/actions/secrets --jq '.secrets[].name'` to read the **names** of secrets already configured (this endpoint returns names only, never values). Cross-reference with env-var usage in `aeon.yml` and existing workflows. For each env var the new skill needs: - **Name present** → continue. - **Name missing** → record as `NEW_SECRET_REQUIRED`. The generated skill **must** gracefully degrade or skip when the secret is absent (no hard crash). Add a `### Required secrets` section to the PR body listing what the operator must add to GitHub Actions secrets before enabling. If the secret has no graceful fallback, the generated skill's step 1 must do: ```bash if [ -z "$VAR" ]; then ./notify "{skill} skipped: VAR not set"; exit 0; fi ``` 5. **Design the skill.** Decide: - **Skill name** — lowercase, hyphenated, 2-3 words max (e.g., `gas-alert`, `hn-papers`). Must not collide with any existing entry under `skills/`. - **Description** — one sentence, starts with a verb, ≤90 chars. - **Tags** — pick from: `content`, `crypto`, `dev`, `meta`, `news`, `research`, `social`. Max 3. - **Variable behavior** — what `${var}` controls; what happens when empty (sane default OR clean abort with notify). - **Steps** — 4-8 numbered, following the standard pattern: read context → fetch/search → process/analyze → write output → log → notify. - **Schedule suggestion** — choose a cron slot. Read existing schedules in `aeon.yml`; avoid co-scheduling at the same minute as heavy skills (article, repo-scanner, deep-research, telegram-digest) unless the new skill is lightweight (<30s expected). Prefer a `:30` minute offset if the natural hour is already crowded. - **Model** — default `claude-sonnet-5`. Pick `claude-haiku-4-5-20251001` if the skill is high-frequency aggregation/digestion (cost optimization), or `claude-opus-4-8` if it needs the strongest reasoning. Document the choice in the PR body. - **Category** — the pack the skill joins. Pick one: `research` `dev` `crypto` `onchain-security` `social` `productivity` `meta`. (`core` and `fleet` are curated in `packs.config.json`, not chosen here.) If none fits, omit it and the skill lands in the **Lab** catch-all for later triage. See `docs/skill-packs.md`. 6. **Write the SKILL.md draft** at `skills/{skill-name}/SKILL.md` with this exact structure: ```markdown --- name: {skill-name} description: {One-sentence description starting with a verb} metadata: title: {Display Name} category: {category} var: "" tags: - {tag} --- > **${var}** — {What the variable controls}. {If-empty behavior}. Today is ${today}. {One sentence describing the task.} ## Steps 1. **{Step title}.** {Specific instructions — endpoints, commands, formats.} 2. **{Step title}.** {More instructions. Code blocks for curl/bash when relevant.} ... N-1. **Log.** Append to `memory/logs/${today}.md`: - Skill: {skill-name} - What was done and key outputs N. **Notify.** Send via `./notify`: {Output format template — specify ≤4000 chars, clickable URLs} ## Network note {How this skill reaches the network — ./secretcurl with an {ENV_NAME} placeholder for auth'd APIs, gh api for GitHub, curl + WebFetch fallback for public} ``` Hard rules for the generated content: - Complete `curl` commands with proper headers and URL encoding (no pseudo-code). - `jq` parsing for JSON APIs. - Notification character limit explicitly stated (under 4000 chars total). - Every link clickable (full URLs, not placeholders). - Fallback behavior defined for every optional secret. - Use only `${var}` and `${today}` template variables — no other invented variables. - No TODOs, no placeholders, no "fill in later". - Mandatory `## Network note` section (accurate model — see the `## Network note` in this skill for the canonical wording; there is no network sandbox). 7. **Quality enforcement (self-edit pass).** Score the draft 1-5 across: | Criterion | What to check | |-----------|---------------| | Frontmatter complete | `name`, `category`, `description`, `var`, `tags` present and well-formed | | Var doc | Single `>` block-quote line; if-empty behavior defined | | API calls complete | Curl + headers + jq, not pseudo-code | | Fallback behavior | Graceful degradation for every optional secret | | Output spec | Char limits, clickable URLs, format template explicit | | Network note | Present and matches the auth pattern of the API used (`./secretcurl` for auth'd, `gh api` for GitHub, WebFetch fallback for public) | Any criterion <4 → rewrite that section once. Still <4 after one rewrite → exit `CREATE_SKILL_VALIDATION_FAILED` with a notify listing failed criteria. **Do not ship a low-quality skill.** 8. **Post-write validation.** Re-read the SKILL.md from disk and verify: - Frontmatter YAML is parseable; required keys present. - No literal substring matches: `TODO`, `FIXME`, `XXX`, `placeholder`, `fill in`, `lorem`, `<your-`, `your_api_key_here`, `example.com`. - Every `${...}` template variable resolves to `${var}` or `${today}`. - At least one `./notify` invocation appears in the body. - At least one `memory/logs/${today}.md` write appears. - `## Network note` section exists. Any failure → delete the partial file and any other writes, exit `CREATE_SKILL_VALIDATION_FAILED` with a notify listing the failed checks. No partial state. 9. **Register in `aeon.yml`.** Insert the new skill in the appropriate time-slot section: - Format: ` {skill-name}: { enabled: false, schedule: "{suggested_cron}" }` - Add `model: "claude-haiku-4-5-20251001"` (or `"claude-opus-4-8"`) if chosen in step 5. - Add `var: ""` if the skill takes a default var. - Add a brief trailing comment if the name doesn't make purpose obvious. - Place near related skills (crypto with crypto, content with content, etc.). - **Always** `enabled: false`. Operator decides when to turn it on. Verify YAML still parses after the edit. If parsing fails, revert the change and exit `CREATE_SKILL_VALIDATION_FAILED`. 9b. **Dry-run gate (blocks a broken generated skill from auto-merge).** Before opening the PR, execute the new skill once with **synthetic** secrets, so a generated skill never reaches production having only ever run with real credentials: ```bash DRYRUN_VERDICT="output/.dry-run/$name.json" bash scripts/dry-run.sh run "$name" || true ``` - The script self-checks the `SKILL_DRYRUN` repo variable (default on) and returns a `skipped` verdict when it is `0`. - Read `output/.dry-run/$name.json`. `passed: true` (or `skipped: true`) means continue. `passed: false` means **delete `skills/$name/`, revert the `aeon.yml` edit, and exit `CREATE_SKILL_DRYRUN_FAILED`** with a notify listing the verdict `reasons[]`. Do not open the PR. - Put the verdict JSON in the PR body under a `## Dry-run` section either way, so a reviewer sees the gate ran. The gate is **structural** (exit 0, non-empty output, no write outside the declared `mode`, no secret outside `requires:`), and no real credential is ever placed in the run's environment. It does not re-score content; the Haiku scorer already does that. 10. **Open as a PR (never commit to `main`).** ```bash name="{skill-name}" git checkout -b create-skill/$name git add skills/$name/SKILL.md aeon.yml git commit -m "create skill: $name {one-sentence description} Generated by create-skill from var: \"{request summary, ≤80 chars}\"" git push -u origin create-skill/$name gh pr create --title "create skill: $name" --body "$(cat <<'EOF' ## Skill **Name**: `{skill-name}` **Description**: {description} **Tags**: {tags} **Schedule**: `{cron}` (disabled by default) **Model**: {model} **Var**: {var-doc} ## Request ``` ${var} ``` ## Sources researched - {URL 1} - {URL 2} - {URL 3} ## Required secrets {list of NEW_SECRET_REQUIRED env vars OR "None — uses existing secrets"} ## Quality scores | Criterion | Score | |-----------|-------| | Frontmatter | X/5 | | Var doc | X/5 | | API calls | X/5 | | Fallback behavior | X/5 | | Output spec | X/5 | | Network note | X/5 | ## Trigger manually Workflow dispatch with `skill={skill-name}` and `var={example-var}`. EOF )" ``` Capture the PR URL. 11. **Log.** Append to `memory/logs/${today}.md`: ``` ### create-skill - Request: {var, ≤80 chars} - Created: skills/{skill-name}/SKILL.md - Registered in aeon.yml: schedule={cron}, model={model} - Required secrets: {list or "none"} - Quality scores: F/V/A/Fb/O/N = X/X/X/X/X/X - PR: {url} - Exit: CREATE_SKILL_OK (or CREATE_SKILL_NEW_SECRET_REQUIRED) ``` 12. **Notify.** Send via `./notify`: ``` *create-skill — {skill-name}* {one-line description} Schedule: `{cron}` (disabled by default) {Required secrets line if any} PR: {url} Trigger: dispatch skill=`{skill-name}` var=`{example}` ``` ## Exit taxonomy | Code | When | Action | |------|------|--------| | `CREATE_SKILL_OK` | New skill created, validated, PR opened | Notify with PR link | | `CREATE_SKILL_NEW_SECRET_REQUIRED` | Same as OK plus operator must add a new secret before enabling | Notify with PR link + secret call-out | | `CREATE_SKILL_NO_VAR` | `${var}` empty | Notify abort reason; stop | | `CREATE_SKILL_DUPLICATE` | Existing skill covers the request | Notify with existing-skill suggestion; stop | | `CREATE_SKILL_INSUFFICIENT_RESEARCH` | Couldn't confirm ≥1 working data source after WebSearch + WebFetch | Notify with what was tried; stop | | `CREATE_SKILL_VALIDATION_FAILED` | Quality enforcement or post-write checks failed | Delete partial files; revert aeon.yml; notify with failed criteria; stop | | `CREATE_SKILL_DRYRUN_FAILED` | The dry-run gate (step 9b) returned `passed: false` | Delete partial files; revert aeon.yml; notify with verdict reasons; do NOT open the PR; stop |