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Skills IA Documentation

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

Catégories: Documentation

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GitHub

tdd

harlan-zw

Use when user says "write tests first", "TDD", "test-driven", "tests before implementation", or when implementing a feature where verification is critical. Creates scratchpad, writes failing tests, then iterate...

GitHub

hug-workflow

elifarley

Git workflow management using Hug (enhanced Git replacement). Use for ALL Git operations. Triggers: commit, amend, staging, git status, git log, repo inspection, fixing commits. Use whenever Claude needs to: (1...

GitHub

hug-scm-repository-analysis

elifarley

Expert-level Git repository investigation using Hug SCM tools for understanding code evolution, tracking down bugs, analyzing changes, and managing development workflows

GitHub

brainstorming

axiomantic

Use before any creative work - creating features, building components, adding functionality, or modifying behavior

GitHub

spellbook-auditing

axiomantic

Meta-audit skill for spellbook development. Spawns parallel subagents to factcheck docs, optimize instructions, find token savings, and identify MCP candidates. Produces actionable report.

GitHub

using-git-worktrees

axiomantic

Use when starting feature work that needs isolation from current workspace or before executing implementation plans

GitHub

smart-reading

axiomantic

Use when reading files or command output of unknown size to avoid blind truncation and context loss

GitHub

finding-dead-code

axiomantic

Use when reviewing code changes, auditing new features, cleaning up PRs, or user says "find dead code", "find unused code", "check for unnecessary additions", "what can I remove".

GitHub

emotional-stakes

axiomantic

Use when writing subagent prompts, skill instructions, or any high-stakes task requiring accuracy and truthfulness

GitHub

fun-mode

axiomantic

Use when starting a session and wanting creative engagement, or when user says '/fun' or asks for a persona

GitHub

using-lsp-tools

axiomantic

Use when mcp-language-server tools are available and you need semantic code intelligence for navigation, refactoring, or type analysis

GitHub

code-quality-enforcement

axiomantic

Use when writing or modifying code. Enforces production-quality standards, prohibits common shortcuts, and ensures pre-existing issues are addressed. Invoked automatically by implementing-features and test-driv...

GitHub

tarot-mode

axiomantic

Use when session returns mode.type='tarot' - tarot archetypes collaborate via roundtable dialogue with instruction-engineering embedded

GitHub

implementing-features

axiomantic

Use when building, creating, or adding functionality. Triggers: "implement X", "build Y", "add feature Z", "create X", "start a new project", "Would be great to...", "I want to...", "We need...", "Can we add......

GitHub

writing-skills

axiomantic

Use when creating new skills, editing existing skills, or verifying skills work before deployment

GitHub

instruction-optimizer

axiomantic

Use when instruction files (skills, prompts, CLAUDE.md) are too long or need token reduction while preserving capability. Triggers: "optimize instructions", "reduce tokens", "compress skill", "make this shorter...

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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