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Skills IA Documentation

Découvrez les skills Documentation, comparez leurs dépôts et consultez leurs instructions.

Catégories: Documentation

25,753–25,776 sur 83,400

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Explorer

GitHub

database-design

akaszubski

Database schema design, migrations, query optimization, and ORM patterns. Use when designing database schemas, writing migrations, optimizing queries, or working with ORMs like SQLAlchemy or Django ORM.

GitHub

architecture-patterns

akaszubski

This skill should be used when designing system architecture, making architectural decisions, or evaluating design patterns. It provides guidance on common patterns, ADR templates, design principles, and tradeo...

GitHub

observability

akaszubski

Structured logging, debugging techniques (pdb/ipdb), profiling (cProfile/line_profiler), stack traces, performance monitoring, and metrics. Use when adding logging, debugging issues, or optimizing performance.

GitHub

skill-integration-templates

akaszubski

Standardized templates and patterns for integrating skills into agent prompts. Reduces token overhead through reusable skill reference syntax, action verbs, and progressive disclosure usage guidelines.

GitHub

consistency-enforcement

akaszubski

Documentation consistency enforcement - prevents drift between README.md and actual codebase state. Auto-activates when updating docs, committing changes, or working with skills/agents/commands.

GitHub

git-workflow

akaszubski

Git best practices, commit conventions, branching strategies, and pull request workflows. Use when working with git operations, commits, branches, or PRs.

GitHub

agent-output-formats

akaszubski

Standardized output formats for research, planning, implementation, and review agents. Use when generating agent outputs or parsing agent responses.

GitHub

gaik-toolkit

GAIK-project

GAIK (Generative AI Knowledge Management Toolkit) development guidance. Use when working with: structured data extraction from documents/PDFs/audio, schema generation, document parsing (VisionParser, PyMuPDFPar...

GitHub

orchestrator

Dowwie

Thin orchestrator for Task Decomposition Protocol v2. Supports two modes - /plan (decompose spec into tasks) and /execute (run tasks via subagents). Delegates all state management to the tasker CLI.

GitHub

tasker-to-beads

Dowwie

Transform Tasker task definitions into rich, self-contained Beads issues. Bridges ephemeral execution units with persistent planning artifacts.

GitHub

mem-status

Z-M-Huang

Show memory system status and tracked projects. Use to check memory system health and list projects.

GitHub

mem-repair

Z-M-Huang

Repair common issues with the memory system. Cleans up orphan temp files, stale sessions, lock files, and old logs.

GitHub

mem-validate

Z-M-Huang

AI-powered validation of knowledge notes against current codebase. Detects stale content by comparing documented knowledge with actual files.

GitHub

mem-fix

Z-M-Huang

Fix issues detected by mem-audit. Supports dry-run mode to preview changes before applying them.

GitHub

mem-search

Z-M-Huang

Search the Claude Code knowledge base for errors, solutions, decisions, and patterns. Use this to find information from your memory system.

GitHub

mem-save

Z-M-Huang

Explicitly save knowledge, patterns, decisions, or learnings to the knowledge base. Use when you want to document something for future reference.

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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