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Explore AI skills for development, content, data and productivity. Compare the description and repository popularity before opening a skill.

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Showing 48,337–48,360 of 96,528

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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...

GitHub

project-encyclopedia

axiomantic

Use on first session in a project, or when user asks for codebase overview. Creates persistent glossary, architecture maps, and decision records to solve agent amnesia.

GitHub

writing-plans

axiomantic

Use when you have a spec or requirements for a multi-step task, before touching code

GitHub

instruction-engineering

axiomantic

Use when: (1) constructing prompts for subagents, (2) invoking the Task tool, or (3) writing/improving skill instructions or any LLM prompts

GitHub

documentation-updates

axiomantic

Use after modifying library skills, library commands, or agents to ensure CHANGELOG, README, and docs are updated

GitHub

fixing-tests

axiomantic

Use when tests are failing, test quality issues were identified, or user wants to fix/improve specific tests

GitHub

fact-checking

axiomantic

Use when reviewing code changes, auditing documentation accuracy, validating technical claims before merge, or user says "verify claims", "factcheck", "audit documentation", "validate comments", "are these clai...

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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