Menu
Extract non-obvious session learnings into scoped AGENTS.md files
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Basé sur la classification professionnelle SOC
Retrieve semantically relevant past learnings and analysis outputs using the csm CLI (HDC encoder with hybrid BM25 retrieval)
Execute tests, analyze results, and diagnose failures across any testing framework. Use when running test suites, debugging failing tests, or configuring CI/CD testing pipelines.
Use this skill for Turso (LibSQL/Limbo) database development, including scaffolding, querying, migrations, and maintenance. Supports vector search, full-text search, CDC, MVCC, encryption, and bidirectional remote sync. Use when working with Turso SDKs for JavaScript, Rust, Python, Go, and React Native. Provides current API guidance to avoid stale "libsql" legacy knowledge.
Atomic git workflow - validates, commits, pushes, creates PR, and verifies CI with zero-warnings policy. Orchestrates complete code submission as state machine with rollback on failure.
Automated code review with PR analysis, change summaries, and quality checks. Use for reviewing pull requests, generating review comments, checking against best practices, and identifying potential issues. Includes style guide compliance, security issue detection, and review automation.
Unified atomic git workflow with GitHub integration - commits all changes, checks GitHub issues, creates PR, validates all Actions pass including pre-existing, uses swarm coordination with web research on failures. Post-merge validation of all files and docs.
| name | learn |
| description | Extract non-obvious session learnings into scoped AGENTS.md files |
| category | knowledge-management |
| trigger | after non-trivial task completion |
Extract non-obvious session learnings into scoped AGENTS.md files to preserve knowledge across sessions.
Activate after completing a non-trivial task to capture insights that would otherwise be lost.
agents-docs/ENVIRONMENT_VARIABLES.md).AGENTS.md + agents-docs/AVAILABLE_SKILLS.md when adding skills).Place learnings in the most specific AGENTS.md file:
AGENTS.md.scripts/AGENTS.md..agents/skills/<name>/AGENTS.md.Every new non-obvious insight must be recorded in two places:
LESSON-NNN entry to agents-docs/LESSONS.md with Issue/Root Cause/Solution.AGENTS.md (this is what learn automates).AGENTS.md.MAX_LINES_AGENTS_MD=150 constraint.agents-docs/LESSONS.md - Legacy project-wide lessons.AGENTS.md - Root agent guidance and constraints.