Prompts
Prompt engineering and templates
prompt-engineer
by AIDotNet
设计、优化和测试AI模型提示词，使用系统化的提示工程技术，包括少样本学习、思维链和结构化输出。
claude-agent-sdk
by AlexAtmtit
Reference for Claude Agent SDK (@anthropic-ai/claude-agent-sdk). MUST use when working with Claude Agent SDK, claude-agent-sdk package, or code that imports from @anthropic-ai/claude-agent-sdk. Covers the SDK's query API, tool configuration, hooks, subagents, MCP integration, and structured output. Do NOT use for generic agent development or other agent frameworks.
Repository Architect & AI Engineering Expert
by jgtolentino
License: AGPL-3.0
prompt-engineering
by CodeAlive-AI
Universal prompt engineering techniques for any LLM. Use when crafting, optimizing, or reviewing prompts for AI models. Triggers on requests like "improve this prompt", "write a system prompt", "optimize my instructions", "help me prompt engineer", "audit this prompt", "review my prompt", or when building agentic systems that need structured prompts.
x-article-publisher
by joeseesun
Publish Markdown articles to X (Twitter) Articles editor with proper formatting. Use when user wants to publish a Markdown file/URL to X Articles, or mentions "publish to X", "post article to Twitter", "X article", or wants help with X Premium article publishing. Handles cover image upload and converts Markdown to rich text automatically.
swarm-orchestration
by Und3rf10w
This skill should be used when the user asks to "set up a team", "create a swarm", "spawn teammates", "assign tasks", "coordinate agents", "work in parallel", "divide work among agents", "orchestrate multiple agents", or describes a complex task that would benefit from multiple Claude Code instances working together. Provides comprehensive guidance for team leads on creating teams, spawning teammates, assigning work, and monitoring progress across tmux/kitty terminal multiplexers.
anthropic-1p-prompt-optimizer
by rexleimo
Optimize, rewrite, and evaluate prompts using the Anthropic 1P interactive prompt-engineering tutorial patterns (clear/direct instructions, role prompting, XML-tag separation, output formatting + prefilling, step-by-step “precognition”, few-shot examples, hallucination reduction, complex prompt templates, prompt chaining, and tool-use XML formats). Use for 提示词优化/Prompt优化/Prompt engineering, rewriting system+user prompts, enforcing structured outputs (XML/JSON), reducing hallucinations, building multi-step prompt templates, adding few-shot examples, or designing prompt-chaining/tool-calling scaffolds.
swarm-teammate
by Und3rf10w
Auto-loads when CLAUDE_CODE_TEAM_NAME environment variable is set. Provides guidance for Claude Code teammates working in swarms - identity awareness, communication patterns, task management, and coordination protocols. Use when you are a spawned teammate (not the team lead).
hybrid-executor
by rexleimo
当需要利用 Claude 的代码重构能力或 Gemini 的超长上下文分析时使用。
review-loop
by rexleimo
Automated two-phase code review loop: the coding agent implements a task, then an independent CLI agent (Codex, Claude, Gemini, OpenCode, Aider, or custom) reviews the changes, and the coding agent addresses the feedback. Use when the user requests a review loop, code review cycle, or says "review-loop".
swarm-team-lead
by Und3rf10w
Auto-loads when CLAUDE_CODE_IS_TEAM_LEAD environment variable is set. Provides guidance for spawned team-leads on monitoring teammates, handling consults, assigning tasks, and coordinating the team. Use this when you are a spawned team-lead (not the original orchestrator who created the swarm).
openspec-parallel-agents
by rexleimo
Use when OpenSpec workflows need dependency-aware parallel subagents across OPSX commands, legacy openspec commands, and Codex CLI prompt aliases.
iac-diagram-generator
by johnpsasser
Analyzes Infrastructure as Code files (Terraform, CloudFormation, Kubernetes, Docker Compose) and generates visual architecture diagrams. Use when analyzing infrastructure code, designing cloud architectures, or when the user requests architecture diagrams from IaC.
swarm-troubleshooting
by Und3rf10w
Diagnostic and recovery guidance for swarm coordination issues. Use this skill when you encounter 'spawn failed', need to 'diagnose team', 'fix swarm', resolve 'status mismatch', perform 'recovery', troubleshoot kitty/tmux issues, or deal with session crashes, multiplexer problems, or teammate failures. Covers diagnostics, spawn failures, status mismatches, recovery procedures, and common error patterns.
md-to-docx
by Xueheng-Li
Convert Markdown files to Word documents (.docx) with proper formatting, Chinese font support (FangSong for all text including headings), black font color, 1.5x line spacing, precise first-line indent (24pt), heading spacing after (1 line), no italic headings, and automatic superscript conversion for citation numbers. Use when converting .md files to .docx, creating Word documents from markdown, or when user mentions Word, DOCX, or document conversion. Requires pandoc.
chat-history-summarizer
by Xueheng-Li
Extract and summarize Claude Code chat history into structured documentation. Use when the user asks to export, summarize, or document a conversation session, extract prompts and actions from chat logs, or create a record of what was accomplished in a session.
code-mode
by chenhunghan
Add a "code mode" tool to an existing MCP server so LLMs can write small processing scripts that run against large API responses in a sandboxed runtime — only the script's compact output enters the LLM context window. Use this skill whenever someone wants to add code mode, context reduction, script execution, sandbox execution, or LLM-generated-code processing to an MCP server. Also trigger when users mention reducing token usage, shrinking API responses, running user-provided code safely, or adding a code execution tool to their MCP server — in any language (TypeScript, Python, Go, Rust, etc.).
ML/AI Skills Conversion Project
by 404kidwiz
Follow the existing patterns to implement these skills.
context-engineering
by siviter-xyz
Master context engineering for AI agent systems. Use when designing agent architectures, debugging context failures, optimizing token usage, implementing memory systems, building multi-agent coordination, evaluating agent performance, or developing LLM-powered pipelines. Covers context fundamentals, degradation patterns, optimization techniques, compression strategies, memory architectures, multi-agent patterns, evaluation, tool design, and project development.
sentry-setup-ai-monitoring
by getsentry
Setup Sentry AI Agent Monitoring in any project. Use when asked to monitor LLM calls, track AI agents, or instrument OpenAI/Anthropic/Vercel AI/LangChain/Google GenAI/Pydantic AI. Detects installed AI SDKs and configures appropriate integrations.
us-stock-researcher
by skindhu
US Stock Investment Research Assistant. Supports Gemini Deep Research or Claude Native Deep Research (7-Phase + GoT). Use when analyzing 10-K/10-Q reports or generating investment research reports.
skill-forge
by WilliamSaysX
Automated skill creation workshop with intelligent source detection, smart path management, and end-to-end workflow automation. This skill should be used when users want to create a new skill or convert external resources (GitHub repositories, online documentation, or local directories) into a skill. Automatically fetches, organizes, and packages skills with proactive cleanup management.
fullstack-template-generator
by pingcy
Generates a complete fullstack application template with Python FastAPI backend and React Vite frontend. Includes OpenAI ChatGPT integration, CORS configuration, comprehensive error handling, and a modern Tailwind CSS + shadcn/ui React UI. Use this skill when the user wants to bootstrap a new fullstack web application project with both API backend and web frontend components ready to go.
stock-qualitative-analysis
by FakeHank
Create comprehensive and deeply analyzed buy-side style qualitative stock analysis reports from filings and public sources with strict citations, chapter-by-chapter workflow, and placeholders for missing evidence. Emphasizes active extraction and detailed analysis of SEC information. Use for Chinese qualitative analysis of listed companies.