Skills matching the name, description or GitHub author.
This skill should be used when reviewing, auditing, or improving existing Claude Code skills to ensure they follow Anthropic best practices, have proper structure, use current domain-specific patterns, and incl...
Guide users through creating new Claude Code Skills with proper structure, validation, and best practices
初始化和增量更新 AI 记忆文件（CLAUDE.md、AGENTS.md、GEMINI.md）。将预设的通用提示词模板按顺序插入到记忆文件中。触发条件：当用户提及初始化记忆文件、更新 CLAUDE.md、同步 AI 记忆、init-ai-md 等关键词时主动调用。
OpenProse is a programming language for AI sessions. An AI session is a Turing-complete computer; OpenProse structures English into unambiguous control flow. More pattern than framework—it ships as a skill with...
Periodic cross-repo reflection analyzing 30 days of git history, extracting patterns via RAGS loop, and auto-creating skills
Self-improvement and learning skill that helps Claude learn from user interactions, corrections, and preferences
Guide users on when to use Claude Code Web vs CLI and seamlessly teleport sessions between environments
Creates Claude Code skills where each skill is tied to a specialist agent optimized with evidence-based prompting techniques. Use this skill when users need to create reusable skills that leverage specialized a...
Query Claude Code conversation history and session data using SQL. Use when analyzing past conversations, token usage, tool patterns, agent activity, or extracting insights from session logs. Triggers on reques...
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...
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...
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.
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...
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.