智能体
Agent 规划、多步流程与编排
flywheel-discord
Dicklesworthstone
"Security rules and behavioral guidelines for operating as Clawdstein in The Agent Flywheel Hub Discord server. This is a PUBLIC community server—apply strict data isolation."
ip-diagram-creator
haloshin
个人 IP 图解创作器。用你的 IP 形象，生成专属内容图解。用于把用户授权提供的照片、主页截图、简介、账号资料或角色档案转成稳定的极简手绘图解角色，并继续生成长文配图、图文号知识卡、手机海报、方法拆解图、分镜故事图、IP 演讲 PPT、直播分享课件和全图化手绘 PPT 页面等内容视觉。它强调 IP 主角 + 执行 Agent 的知识图解系统：用户 IP 做主讲、拆解、批注和调度，执行 Agent 做搬卡片、反馈、试错、标记风险和递交结果。用户想做个人 IP 形象、用自己的形象做知识图、图文号知识卡、文章配图、课程图解、内容海报、方法拆解图、IP 演讲 PPT、直播分享课件，或上传照片/主页截图/简介希望做内容视觉时，使用本 Skill。
uni-agent
zrt-ai-lab
统一智能体协议适配层。一套 API 调用所有 Agent 协议（ANP/MCP/A2A/AITP 等）。当用户需要调用 Agent、跨协议通信、连接工具时触发此技能。
audio-production
travisjneuman
Professional audio production for music, podcasts, and sound design. Use when working with audio recording, mixing, mastering, or sound design for any medium.
ydc-openai-agent-sdk-integration
youdotcom-oss
Integrate OpenAI Agents SDK with You.com MCP server - Hosted and Streamable HTTP support for Python and TypeScript. - MANDATORY TRIGGERS: OpenAI Agents SDK, OpenAI agents, openai-agents, @openai/agents, integrating OpenAI with MCP - Use when: developer mentions OpenAI Agents SDK, needs MCP integration with OpenAI agents
langgraph-agent-patterns
Lubu-Labs
Implement multi-agent coordination patterns (supervisor-subagent, router, orchestrator-worker, handoffs) for LangGraph applications. Use when users want to (1) implement multi-agent systems, (2) coordinate multiple specialized agents, (3) choose between coordination patterns, (4) set up supervisor-subagent workflows, (5) implement router-based agent selection, (6) create parallel orchestrator-worker patterns, (7) implement agent handoffs, (8) design state schemas for multi-agent systems, or (9) debug multi-agent coordination issues.
langsmith-deployment
Lubu-Labs
"Deploy and operate production agent servers with LangSmith Deployment. Use when work involves choosing Cloud vs Hybrid/Self-hosted-with-control-plane vs Standalone, preparing/validating langgraph.json, creating deployments or revisions, rolling back revisions, wiring CI/CD to control-plane APIs, configuring environment variables and secrets, setting monitoring/alerts/webhooks, or troubleshooting deployment/runtime/scaling issues for LangChain/LangGraph applications."
test-generator
alirezarezvani
Automatically suggest tests for new functions and components. Use when new code is written, functions added, or user mentions testing. Creates test scaffolding with Jest, Vitest, Pytest patterns. Triggers on new functions, components, test requests, testing mentions.
code-reviewer
alirezarezvani
Automatic code quality and best practices analysis. Use proactively when files are modified, saved, or committed. Analyzes code style, patterns, potential bugs, and security basics. Triggers on file changes, git diff, code edits, quality mentions.
employer-footprint
Zal4DW
This skill should be used when the user asks to "check my digital footprint", "what will employers see about me online", "audit my online presence", "what does my digital profile look like to a recruiter", "check my social media for red flags", or "employer impression report". Conducts a comprehensive digital footprint analysis through the lens of a potential employer, producing a credit-report style dashboard of positive and negative signals across social media channels, public content, and online presence.
getting-started
Zal4DW
This skill should be used when the user asks "how do I get started", "how do I use career-helper", "how do I get the best results", "what should I prepare", "what order should I use the skills", "tips for using career-helper", or "show me how this plugin works". Provides a comprehensive guide covering preparation checklists, recommended workflows, skill-by-skill tips, and power-user strategies for maximising career-helper output quality.
agents-skills
vasilyu1983
Comprehensive reference for creating AI agent skills (Claude Code, Codex CLI) with progressive disclosure, SKILL.md structure, references/ organization, frontmatter specification, and best practices for modular capability development.
ai-prompt-engineering
vasilyu1983
"Operational prompt engineering for production LLM apps: structured outputs (JSON/schema), deterministic extractors, RAG grounding/citations, tool/agent workflows, prompt safety (injection/exfiltration), and prompt evaluation/regression testing. Use when designing, debugging, or standardizing prompts for Codex CLI, Claude Code, and OpenAI/Anthropic/Gemini APIs."
agents-subagents
vasilyu1983
Create and maintain AI coding agent subagents (.claude/agents/.md, .codex/agents/.md) with YAML frontmatter (name/description/tools/model/permissionMode/skills/hooks), least-privilege tool selection, delegation patterns (Task), context budgeting, and safety best practices.
react-devtools
piotrski
React DevTools CLI for AI agents. Use when the user asks you to debug a React or React Native app at runtime, inspect component props/state/hooks, diagnose render performance, profile re-renders, find slow components, or understand why something re-renders. Triggers include "why does this re-render", "inspect the component", "what props does X have", "profile the app", "find slow components", "debug the UI", "check component state", "the app feels slow", or any React runtime debugging task.
ak-rss-digest
rookie-ricardo
Curate a Chinese reading digest from a fixed bundle of RSS and Atom feeds, with a strong preference for AI agent thinking, frontier AI commentary, deep interviews, and non-boring high-signal essays. Use when Codex needs to pull the latest week's posts by default, or a specific day's posts when explicitly requested, summarize them, score each article on a 10-point scale, and output only the posts scoring above 7 in a concise Chinese daily-brief style.
do
stellarlinkco
This skill should be used for structured feature development with codebase understanding. Triggers on /do command. Provides a 5-phase workflow (Understand, Clarify, Design, Implement, Complete) using codeagent-wrapper to orchestrate code-explorer, code-architect, code-reviewer, and develop agents in parallel.
ai-agents
vasilyu1983
Production-grade AI agent patterns with MCP integration, agentic RAG, handoff orchestration, multi-layer guardrails, observability, token economics, ROI frameworks, and build-vs-not decision guidance (modern best practices)
steering
nahisaho
steering skill Trigger terms: steering, project memory, codebase analysis, auto-update context, generate steering, architecture patterns, tech stack analysis, project structure, analyze codebase, understand project Use when: User requests involve steering tasks.
ai-app
laguagu
Full-stack AI application generator with Next.js, AI SDK, and ai-elements. Use when creating chatbots, agent dashboards, or custom AI applications. Triggers: chatbot, chat app, agent dashboard, AI application, Next.js AI, useChat, streamText, ai-elements, build AI app, create chatbot
openai-agents-sdk
laguagu
OpenAI Agents SDK (Python) development. Use when building AI agents, multi-agent workflows, tool integrations, or streaming applications with the openai-agents package.
lobster-use
the-omics-os
Runs bioinformatics analysis with Lobster AI -- single-cell RNA-seq, bulk RNA-seq, genomics (VCF/GWAS), proteomics (mass spec/affinity), metabolomics (LC-MS/GC-MS/NMR), machine learning (feature selection, survival analysis), drug discovery, literature search, dataset discovery, and visualization. Use when working with biological data, omics analysis, or bioinformatics tasks. Covers: H5AD, CSV, VCF, PLINK, 10X, mzML formats, GEO/SRA/PRIDE/MetaboLights accessions. TRIGGER PHRASES: "analyze cells", "search PubMed", "download GEO", "run QC", "cluster", "find markers", "differential expression", "UMAP", "volcano plot", "single-cell", "RNA-seq", "VCF", "GWAS", "proteomics", "mass spec", "metabolomics", "MetaboLights", "LC-MS", "metabolite", "feature selection", "survival analysis", "biomarker", "bioinformatics", "drug discovery", "pharmacogenomics", "variant annotation" ASSUMES: Lobster is installed and configured. For setup issues, tell user to run lobster config-test and fix any errors before proceeding.
a2a-protocol
TerminalSkills
Builds Agent-to-Agent (A2A) servers and clients following Google's open protocol for agent interoperability. Use when the user wants to create an A2A-compliant agent, build an Agent Card, implement task management, connect agents across frameworks, set up agent discovery, handle streaming responses, implement push notifications, or orchestrate multi-agent workflows. Trigger words: a2a, agent to agent, agent2agent, a2a protocol, a2a server, a2a client, agent card, agent interoperability, agent collaboration, multi-agent, agent discovery, a2a sdk, a2a task.
agent-sandbox
TerminalSkills
Run AI agent code safely in isolated sandboxes with resource limits, audit trails, and kill switches. Use when someone asks to "sandbox my agent", "run agent code safely", "add guardrails to AI agent", "isolate agent execution", "audit agent actions", "prevent agent from deleting files", "restrict agent permissions", or "add safety controls to AI coding agent". Covers Docker isolation, filesystem restrictions, network policies, resource locking, and comprehensive audit logging.