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share-learning

Promote a team-relevant learning to the shared team-knowledge repo after deduping against existing notes. Triggers "share this", "add to the knowledge base", or a gotcha, decision, or convention worth team-wide awareness.

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Prix non confirmé★ 45 Stars GitHubRegistre mis à jour · 21 sept. 2026agent-skill

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Promote a single learning to the team's shared knowledge repo (darkroomengineering/team-knowledge) — the "public corpus" tier of the knowledge system (see docs/knowledge-system.md). Local, personal knowledge stays in auto-memory; this skill is only for things another teammate's agent would benefit from knowing.

When to use

Use when a learning meets the shared-tier bar from AGENTS.md (Knowledge Routing): an architecture decision the team must follow, a library gotcha that affects everyone, a convention, an incident postmortem, or a reusable pattern. If it is a personal preference, local project state, or an external pointer, let auto-memory handle it instead — do NOT post it.

Inputs

Invoked as /share-learning <kind> "<text>" where <kind> is one of: decision, convention, gotcha, incident, pattern.

If invoked without arguments, infer the most likely kind and a concise text from the recent conversation, then show the user what you intend to post and confirm before posting.

Before starting, run gh auth status and confirm the authenticated account can read darkroomengineering/team-knowledge (or $KNOWLEDGE_REPO) with gh api repos/${KNOWLEDGE_REPO:-darkroomengineering/team-knowledge} --jq .full_name. Stop with the failed prerequisite if either check fails. Do not wait until the write step to surface missing authentication or repository access.

Steps

Resolve the repo. Read $KNOWLEDGE_REPO from the environment; default is darkroomengineering/team-knowledge:
```
KNOWLEDGE_REPO="${KNOWLEDGE_REPO:-darkroomengineering/team-knowledge}"
```
Dedup against the index (required). Fetch the current index:
```
gh api repos/$KNOWLEDGE_REPO/contents/INDEX.md --jq .content | base64 -d
```
Scan the note names and titles in the index for an entry that already captures this learning (semantic near-duplicate, not just exact match). If you find one:
- Show the user the existing note name and its summary line.
- Ask whether to skip (already covered), post anyway (genuinely distinct), or revise your proposed entry to complement it.
Only continue to step 3 once the user has chosen, or when there is clearly no duplicate.
Post. Derive a name (kebab-case slug from the essence of the learning). Assemble the note:
- Frontmatter: name = the slug; kind from the argument; added-by from gh api user --jq .login (fall back to git config user.name if that fails); tags optional; supersedes only when this note replaces an existing one.
- Body: what happened + why it matters + how to apply it. One learning per note, atomic and self-contained.
If creating a new note:
```
NOTE="---
name: <name>
kind: <kind>
tags: [<tag1>, <tag2>]
added-by: <login>
---

<body>"

gh api -X PUT repos/$KNOWLEDGE_REPO/contents/<name>.md \
  -f message="knowledge: add <name>" \
  -f content="$(printf '%s' "$NOTE" | base64)"
```
If updating an existing note, first GET its current sha:
```
SHA=$(gh api repos/$KNOWLEDGE_REPO/contents/<name>.md --jq .sha)
gh api -X PUT repos/$KNOWLEDGE_REPO/contents/<name>.md \
  -f message="knowledge: update <name>" \
  -f content="$(printf '%s' "$NOTE" | base64)" \
  -f sha="$SHA"
```
Report. Surface the blob URL to the user: https://github.com/$KNOWLEDGE_REPO/blob/main/<name>.md

Notes

This skill posts to a shared, team-visible repo — treat it like publishing. Never post secrets, credentials, or anything from .env. When unsure whether something is team-relevant, ask the user rather than over-sharing.
The dedup step is what makes this more than a gh wrapper: you are exercising judgment about whether the corpus already knows this.

Voir la source ↗

Métadonnées du fichier

name: share-learning
description: Promote a team-relevant learning to the shared team-knowledge repo after deduping against existing notes. Triggers "share this", "add to the knowledge base", or a gotcha, decision, or convention worth team-wide awareness.
allowed-tools:
  - Bash(gh api*)
  - Bash(gh auth status*)
  - Bash(base64*)
requires:
  - command: gh
    install: "Install GitHub CLI, run `gh auth login`, and request access to the team-knowledge repository."

Voir le texte original

---
name: share-learning
description: Promote a team-relevant learning to the shared team-knowledge repo after deduping against existing notes. Triggers "share this", "add to the knowledge base", or a gotcha, decision, or convention worth team-wide awareness.
allowed-tools:
  - Bash(gh api*)
  - Bash(gh auth status*)
  - Bash(base64*)
requires:
  - command: gh
    install: "Install GitHub CLI, run `gh auth login`, and request access to the team-knowledge repository."
---

# share-learning

Promote a single learning to the team's shared knowledge repo (`darkroomengineering/team-knowledge`) —
the "public corpus" tier of the knowledge system (see `docs/knowledge-system.md`). Local,
personal knowledge stays in auto-memory; this skill is only for things another teammate's
agent would benefit from knowing.

## When to use

Use when a learning meets the shared-tier bar from `AGENTS.md` (Knowledge Routing): an
architecture decision the team must follow, a library gotcha that affects everyone, a
convention, an incident postmortem, or a reusable pattern. If it is a personal preference,
local project state, or an external pointer, let auto-memory handle it instead — do NOT
post it.

## Inputs

Invoked as `/share-learning <kind> "<text>"` where `<kind>` is one of:
`decision`, `convention`, `gotcha`, `incident`, `pattern`.

If invoked without arguments, infer the most likely `kind` and a concise `text` from the
recent conversation, then show the user what you intend to post and confirm before posting.

Before starting, run `gh auth status` and confirm the authenticated account can read
`darkroomengineering/team-knowledge` (or `$KNOWLEDGE_REPO`) with
`gh api repos/${KNOWLEDGE_REPO:-darkroomengineering/team-knowledge} --jq .full_name`. Stop with the
failed prerequisite if either check fails. Do not wait until the write step to surface missing
authentication or repository access.

## Steps

1. **Resolve the repo.** Read `$KNOWLEDGE_REPO` from the environment; default is
   `darkroomengineering/team-knowledge`:

   ```bash
   KNOWLEDGE_REPO="${KNOWLEDGE_REPO:-darkroomengineering/team-knowledge}"
   ```

2. **Dedup against the index (required).** Fetch the current index:

   ```bash
   gh api repos/$KNOWLEDGE_REPO/contents/INDEX.md --jq .content | base64 -d
   ```

   Scan the note names and titles in the index for an entry that already captures this
   learning (semantic near-duplicate, not just exact match). If you find one:
   - Show the user the existing note name and its summary line.
   - Ask whether to **skip** (already covered), **post anyway** (genuinely distinct), or
     **revise** your proposed entry to complement it.

   Only continue to step 3 once the user has chosen, or when there is clearly no duplicate.

3. **Post.** Derive a `name` (kebab-case slug from the essence of the learning). Assemble
   the note:

   - Frontmatter: `name` = the slug; `kind` from the argument; `added-by` from
     `gh api user --jq .login` (fall back to `git config user.name` if that fails);
     `tags` optional; `supersedes` only when this note replaces an existing one.
   - Body: what happened + why it matters + how to apply it. One learning per note,
     atomic and self-contained.

   If creating a new note:
   ```bash
   NOTE="---
   name: <name>
   kind: <kind>
   tags: [<tag1>, <tag2>]
   added-by: <login>
   ---

   <body>"

   gh api -X PUT repos/$KNOWLEDGE_REPO/contents/<name>.md \
     -f message="knowledge: add <name>" \
     -f content="$(printf '%s' "$NOTE" | base64)"
   ```

   If updating an existing note, first GET its current `sha`:
   ```bash
   SHA=$(gh api repos/$KNOWLEDGE_REPO/contents/<name>.md --jq .sha)
   gh api -X PUT repos/$KNOWLEDGE_REPO/contents/<name>.md \
     -f message="knowledge: update <name>" \
     -f content="$(printf '%s' "$NOTE" | base64)" \
     -f sha="$SHA"
   ```

4. **Report.** Surface the blob URL to the user:
   `https://github.com/$KNOWLEDGE_REPO/blob/main/<name>.md`

## Notes

- This skill posts to a shared, team-visible repo — treat it like publishing. Never post
  secrets, credentials, or anything from `.env`. When unsure whether something is
  team-relevant, ask the user rather than over-sharing.
- The dedup step is what makes this more than a `gh` wrapper: you are exercising judgment
  about whether the corpus already knows this.

Examiner la source

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Source du skill enregistrée

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Réviser avant installation: Éviter l’installation automatique

Licence: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Low GitHub adoption signal
L’approbation de revue IA est absente
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 45 GitHub stars
Stars/forks activity: 45 stars, 3 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

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Les outils sont des indications de métadonnées, pas une compatibilité testée. Les prompts sont des suggestions.

Commencer par une petite tâche

1Lisez la source et confirmez entrées, résultats, dépendances et permissions.
2Demandez un plan à l’agent. Approuvez la configuration et les coûts avant un test isolé.
3Vérifiez résultats et fichiers modifiés. Signalez uniquement ce qui a été exécuté et conservez la révision source.

Vérifiez les dépendances, clés API et frais externes dans la source. Un dépôt public ne rend pas tous les services gratuits.

Source et conseils d’utilisation

RépertoriéContrôle statique

Métadonnées et examens sont indicatifs. Popularité, découverte et exécution réussie sont des faits distincts.

Dépôt source: darkroomengineering/cc-settings
Licence: MIT
Version: Unknown
Dernier push GitHub: 21 sept. 2026
Registre mis à jour: 21 sept. 2026
Chemin des instructions: skills/share-learning/SKILL.md @ eb5953e3d418

Version déclarée dans le registre ; vérifiez les versions de la source.

Qualité

58/100

Prometteur

Confiance

61/100

Sandbox uniquement

Audit

73/100

Revue nécessaire

Ouvrir l’audit complet Voir le rapport d’évaluation

Dependency or permission surface needs review
Permission surface may require sandboxing
Low GitHub adoption signal
L’approbation de revue IA est absente
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 45 GitHub stars
Stars/forks activity: 45 stars, 3 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

Verified installs: —
Résultats: —

Copier ne signifie pas installer. Les compteurs nécessitent un rapport de réussite et ne garantissent pas la qualité globale.

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Plus de détails

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    "audit": "https://www.openagentskill.com/skills/darkroomengineering-share-learning/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=darkroomengineering-share-learning&task=Use%20share-learning%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20share-learning%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20share-learning%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/darkroomengineering-share-learning/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/darkroomengineering-share-learning"
  }
}

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Créateur: darkroomengineering
Source: darkroomengineering/cc-settings
Indexé par: Index communautaire OpenAgentSkill

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Cette fiche Indexé par Registry est attribuée à darkroomengineering, mais n’est pas encore marquée officielle. Revendiquez-la pour ajouter un signal de propriétaire vérifié et rendre les futures mises à jour de lancement, d’installation et d’audit plus fiables.

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