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Documentation AI Skills

Discover Documentation skills, compare source repositories and read the instructions for each workflow.

Categories: Documentation

Showing 41,905–41,928 of 83,400

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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

receiving-code-review

axiomantic

Use when you have received code review feedback and need to process it. [DEPRECATED] Routes to code-review --feedback

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

pr-distill

axiomantic

Use when reviewing large PRs to surface changes requiring human attention

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...

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.

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