Skills matching the name, description or GitHub author.
Advanced skill creation system for Claude Code that combines deep intent analysis, evidence-based prompting principles, and systematic skill engineering. Use when creating new skills or refining existing skills...
Guide for creating Claude Code skills following Anthropic's official best practices. Use when user wants to create a new skill, build a skill, write SKILL.md, or needs skill creation guidelines. Provides struct...
This skill should be used when the user requests a code review of changed files. Use this to review git-diffed files for security vulnerabilities (OWASP Top 10), performance issues (O(N) complexity, ORM optimiz...
Guides Claude through building concurrent, fault-tolerant applications with Gleam OTP. Use when creating actors, supervision trees, or building distributed BEAM applications.
Comprehensive guide for building Model Context Protocol (MCP) servers with support for tools, resources, prompts, and authentication. Use when: (1) Creating custom MCP servers, (2) Integrating external APIs wit...
Use Claude Code's interactive question tool to gather comprehensive requirements through structured multi-select questions
Comprehensive framework for analyzing, creating, and refining prompts for AI systems. Use when creating prompts for Claude, ChatGPT, or other language models, improving existing prompts, or applying evidence-ba...
Creates specialized AI agents with optimized system prompts using the official 4-phase SOP methodology from Desktop .claude-flow, combined with evidence-based prompting techniques and Claude Agent SDK implement...
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
Modern R development practices emphasizing tidyverse patterns (dplyr 1.1 and later, native pipe, join_by, .by grouping), rlang metaprogramming, performance optimization, and package development. Use when Claude...
Guides Claude through testing Gleam applications with gleeunit. Use when writing unit tests, integration tests, or property-based tests. Always use let assert, NOT deprecated should module.
Update the celestia-engineering Claude Code plugin with latest changes from GitHub main branch
Debug and test MCP servers directly from Claude Code - call tools, list capabilities, diagnose issues without going through the full LLM stack
MUST use when editing CLAUDE.md, SKILL.md, or slash commands. Applies prompt engineering best practices regardless of task size.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or to...
Multi-tier LLM routing for cost optimization in the BidDeed.AI ecosystem. Routes tasks to appropriate model tier based on complexity, achieving 90% FREE tier processing. Use when making API calls, selecting mod...
Guide for creating effective skills that extend Claude's capabilities
Expert guide for claude-agent-sdk development questions - tools, subagents, permissions, hooks, sessions, MCP integration, and best practices.
Strategies for coordinated changes across multiple files with Claude Code. Use when making API changes, updating interfaces, refactoring shared code, or performing migrations. Covers dependency ordering, atomic...
Handle Claude Code errors gracefully - error types, recovery, prevention
Secure coding with Claude Code - vulnerability prevention, secrets, security review
Guide for configuring Claude Code permissions effectively. Use when setting up security policies, configuring allow/deny patterns, managing tool permissions, or implementing team security standards. Covers perm...
Reference guide for Claude Code extensions. CONSULT BEFORE implementing skills, creating hooks, slash commands, or MCP servers. Use when building Claude Code extensions, understanding extension differences, or...
Guide for creating and integrating MCP (Model Context Protocol) servers with Claude Code. Use when building external tool integrations, connecting to databases, creating custom capabilities, or adding API wrapp...
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.