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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 35,065–35,088 of 96,528

Browse skills

GitHub

openapi-spec-generation

Tahir-yamin

Generate and maintain OpenAPI 3.1 specifications from code, design-first specs, and validation patterns. Use when creating API documentation, generating SDKs, or ensuring API contract compliance.

GitHub

inline-test-injection

doc-detective

Inject Doc Detective test specs into documentation source files as inline comments. Use when (1) you have a valid test spec (JSON/YAML) with steps and need to embed them in a source file, (2) the user asks to a...

GitHub

token-efficiency

Delphine-L

Token optimization best practices for cost-effective Claude Code usage. Automatically applies efficient file reading, command execution, and output handling strategies. Includes model selection guidance (Opus f...

GitHub

crafting-rules

frap129

Use when creating or modifying OpenCode rules (.md/.mdc files) that customize agent behavior. Helps extract patterns from conversation history, analyze project conventions (AGENTS.md, linters, package.json), an...

GitHub

localization-helper

willsigmon

Find hardcoded strings in Leavn app, add I18n.str() calls, create localization keys for all 6 supported languages (en, es, de, zh-Hans, ar, he)

GitHub

requesting-code-review

frap129

Use when completing tasks, implementing major features, or before merging to verify work meets requirements - dispatches code-reviewer subagent to review implementation against plan or requirements before proce...

GitHub

pr-review

enitrat

Perform thorough, constructive pull request reviews using parallel specialized agents. Use when user wants to review a PR, provide code review feedback, or assess code changes. Features confidence-scored issues...

GitHub

discovering-tools

GobbyAI

Progressive disclosure pattern for MCP tools and skills. Use when tools aren't found or you need to discover available capabilities.

GitHub

systematic-debugging

shrwnsan

Systematic debugging approach for errors, test failures, and unexpected behavior. Use when encountering bugs, test failures, errors, or when debugging is needed. Prevents common anti-patterns like random fixes,...

GitHub

claude-skill-management

Delphine-L

Expert guide for managing Claude Code global skills and commands. Use when creating new skills, symlinking to projects, updating existing skills, or organizing the centralized skill repository.

GitHub

obsidian

Delphine-L

Integration with Obsidian vault for managing notes, tasks, and knowledge when working with Claude. Supports adding notes, creating tasks, and organizing project documentation.

GitHub

galaxy-automation

Delphine-L

BioBlend and Planemo expertise for Galaxy workflow automation. Galaxy API usage, workflow invocation, status checking, error handling, batch processing, and dataset management. Essential for any Galaxy automati...

GitHub

jupyter-notebook-analysis

Delphine-L

Best practices for creating comprehensive Jupyter notebook data analyses with statistical rigor, outlier handling, and publication-quality visualizations

GitHub

repo-release-curation

zhuchichi56

Curate and restructure a near-publication ML repository for clean release, reproducible runs, and minimal layout while preserving eval/data and paper assets.

GitHub

gobby-clones

GobbyAI

This skill should be used when the user asks to "/gobby-clones", "create clone", "spawn in clone". Manage git clones for isolated parallel development - create, spawn agents, sync, merge, and delete.

GitHub

gobby-merge

GobbyAI

Use when user asks to "/gobby-merge", "merge branches", "resolve conflicts", "AI merge". AI-powered merge conflict resolution - start merges, resolve conflicts, and apply resolutions.

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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