4 121 agent workflow skills from 665 authors. They configure the agents themselves: memory, prompts, context and other skills. Half of them fit into 1 845 tokens or less — that is what one costs your context window when the agent loads it. 778 ship runnable scripts rather than instructions alone. 5 of them cannot work without an MCP server, most often task. We also found 541 copies of these same skills sitting in other people's repositories — counted once here, not 541 times.
4 121 unique 665 authors 2 767 updated this month 506 from vendors
| Trigger this skill when the user works on Education SaaS problems and wants industry-grade thinking, tool selection, or workflow guidance. 触发词:「教育SaaS」「education saas」「招生管理系统」「排课系统」「在线教室」
| Trigger this skill when the user works on foot and ankle surgery problems and wants industry-grade thinking, tool selection, or workflow guidance. 触发词:「足踝」「扭伤」「足底筋膜炎」「拇外翻」「踝关节」
| Trigger this skill when the user works on Family Education Coaching problems and wants industry-grade thinking, tool selection, or workflow guidance. 触发词:「家庭教育」「家庭教育指导」「家庭教育指导师」「亲子关系」「亲子沟通」
| Trigger this skill when the user works on Job-hunting & interview coaching — 求职教练 / 面试辅导师的实践视角(求职定位与职业叙事 / 简历与 ATS / 渠道与内推策略 / 行为与专业面试 / 谈薪与 offer 决策 / 校招与转行 / 求职教练的执业经营) problems and wants industry-grade thinking, tool selection, or workflow guidance. 触发词:「求职」「找工作」「面试」「面试辅导」「求职辅导」
| Trigger this skill when the user works on LLM agent infra problems and wants industry-grade thinking, tool selection, or workflow guidance. 触发词:「agent framework」「LLM agent」「agent infra」「multi-agent orchestration」「agent runtime」
| Trigger this skill when the user works on dating and relationship coaching problems and wants industry-grade thinking, tool selection, or workflow guidance. 触发词:「恋爱」「脱单」「约会」「情感」「暧昧」
| Hamel Husain (@HamelHusain) 视角. 服务咨询派 + practitioner-as-figure 代表, 「evals are the new code」论断的提出者. ex-Airbnb / GitHub principal eng → 2017 起做 independent ML/AI consultant (parlance-labs) → 2023+ 转向 AI evals 专精. hamel.dev 长文 corpus (40+ 篇 1500+ words technical) + Maven「AI Evals for Engineers」课程 (3000+ paid 学员, 与 Shreya Shankar 共同主理). 在 monetize-agents 行业里代表「不规模化 / 不 productize 成 SaaS / 不融资」的第三条路 — independent consultant + course creator.
| Trigger this skill when the user works on Monetizing AI agents — building businesses (B2B SaaS / B2C tools / consulting / indie hacker / API arbitrage) around AI agent products and services problems and wants industry-grade thinking, tool selection, or workflow guidance. 触发词:「agent business」「monetize agents」「AI agent SaaS」「agent creator」「agent indie hacker」
| Trigger this skill when the user works on Psychotherapy & counseling — 心理咨询师 / 心理治疗师的临床实践(接案评估 / 个案概念化 / 主流流派技术 / 伦理与危机干预 / 督导成长 / 私人执业经营) problems and wants industry-grade thinking, tool selection, or workflow guidance. 触发词:「心理咨询」「心理治疗」「psychotherapy」「counseling」「therapist」
| Trigger this skill when the user works on 银发教育 problems and wants industry-grade thinking, tool selection, or workflow guidance. 触发词:「银发教育」「老年大学」「银发学习」「老年教育」「senior education」
| Trigger this skill when the user works on China domestic real estate investing — 国内房产投资人 / 投资顾问的实践视角(城市与地段选择 / 政策与调控解读 / 一二手房与房产金融 / 估值与尽调 / 交易税费 / 持有运营与退出 / 风险识别 / 资产配置中的房产) problems and wants industry-grade thinking, tool selection, or workflow guidance. 触发词:「房产投资」「买房」「房地产」「real estate」「国内房产」
| Trigger this skill when the user works on 留学咨询规划 problems and wants industry-grade thinking, tool selection, or workflow guidance. 触发词:「留学咨询」「留学规划」「出国留学」「study abroad」「留学」
| Trigger this skill when the user works on Venture capital / early-stage investor — 风险投资人(GP / Partner / Principal)的早期投资判断与基金运营实战 problems and wants industry-grade thinking, tool selection, or workflow guidance. 触发词:「VC」「venture capital」「风险投资」「early stage」「天使投资」
| Trigger this skill when the user works on Youth Coding Education problems and wants industry-grade thinking, tool selection, or workflow guidance. 触发词:「少儿编程」「青少年编程」「编程教育」「编程启蒙」「Scratch教学」
Use when the user wants to work on a Claude Code skill file (SKILL.md): writing one from scratch, testing whether an existing one works well, running evals or benchmarks, improving its instructions, or fixing why it isn't triggering. Triggers on: 'make a skill for X', 'test this skill', 'run evals on my SKILL.md', 'touch-skill', sharing a SKILL.md and asking if it's ready to ship. The key signal is intent to create, validate, or improve a skill — not just mention one. Do NOT trigger for general Claude Code questions, hook debugging, or CLAUDE.md configuration.
Generates a Claude Code configuration tailored to a specific project. Use whenever the user wants to prime a project, set up claude for a repo, bootstrap claude config, or re-prime/refresh an already-primed project (for example after `/prime-sync` pulled new starter content). Triggers on 'prime', 'prime this project', 'optimus-prime', 're-prime', 'refresh claude config', 'regenerate CLAUDE.md', 'set up claude for this repo'. Deeply analyzes the real codebase and builds project-specific skills, rules, and CLAUDE.md — not generic boilerplate. For ongoing config health checks and proposal review, use `self-evolve` instead.
INVOKE THIS SKILL at the START of any LangChain/LangGraph/Deep Agents project, before writing any agent code. Determines which framework layer is right for the task: LangChain, LangGraph, Deep Agents, or a combination. Must be consulted before other agent skills.
INVOKE FIRST for any LangChain / LangGraph / Deep Agents agent building project before consulting other skills or writing any agent code. Required starting point for up to date info on framework selection (LangChain vs LangGraph vs Deep Agents vs hybrid composition), agent patterns, install, environment setup, and which skill to load next.
Delegate coding, code review, analysis, and research jobs to Google Antigravity CLI (agy) sub-agents that run alongside your own work. Use this whenever the user asks to spin off, offload, or delegate a task to Antigravity, agy, Gemini, or an "external agent"; wants a second opinion or independent review from a different model; wants intensive repo work (audits, large refactors, research sweeps) run in the background while you keep working; or says things like "have Antigravity do it", "spin up a sub-agent for this", or "get more done in parallel". Also use it proactively when a task is a good fit for parallel delegation and the user has expressed a preference for using Antigravity workers.
> Run and interpret skill evaluations. Use when you need to evaluate a skill, run probe/test/PR-val, check if a PR regresses quality, compare two versions, or diagnose why the score dropped. Handles the full eval lifecycle including solver trajectory diagnosis for tool-level error detection.
> SkillHone — toolkit for evaluating, optimizing, and managing agent skills. Use when asked to "evaluate a skill", "run probe", "optimize/iterate a skill", "create a new skill experiment", "seed a skill repo", or "run skill benchmarks"; also use when the user mentions a Forgejo-hosted skill repo and wants to optim, new, seed, serve, synth.
>- Interactively gather a PRD (Product Requirements Document) for an agent skill that is about to be built or optimized by SkillHone. Use when the user says things like "I want to write a new skill", "help me spec this skill", "what should <x>-skill do", or before running `skillhone new` / `skillhone optim` on a skill whose requirements aren't fully nailed down. The interview is driven through the `AskUserQuestion` tool — every round is a small set of dependent multi-choice questions, and the skill keeps asking until the user says stop. Final artifacts are three files in the paired `<skill>-eval` visible, scoring rubric redacted), and `PRD.choice.md` (the AskUserQuestion transcript). Also mirrors the appropriate pages into Forgejo wiki checkouts when available.
A Webflow University guided onboarding skill for anyone getting started with the Webflow MCP. Checks your Webflow connection, helps you choose a real workflow to try, coaches prompt writing, and supports you through your first MCP run.
> Text network analysis, knowledge graphs, content gap detection, SEO/GEO optimization, structured memory, and text comparison via the InfraNodus MCP server (mcporter). generate research questions or ideas, compare texts, optimize text/content for SEO, analyze Google search results/queries, retrieve from a knowledge base (GraphRAG), save/retrieve structured memories, develop latent topics, or bridge conceptual gaps. Supports plain text, URLs (including YouTube video transcription), and existing InfraNodus graphs.
Create, generate, update, repair, trim, or split minimal AGENTS.md files for repository roots and confirmed nested modules using progressive disclosure. Use for missing, bloated, contradictory, or outdated agent instructions, monorepos, services, packages, module context, and portable agent guidance without assuming any fixed agent folder structure.
>- Use this skill for Bazi / Four Pillars, BaZi compatibility, True Solar Time, Ten Gods, Da Yun luck cycles, lunar-to-solar conversion, and Earthly Branch interactions with OpenFate Bazi MCP. 用於八字、四柱、排盤、真太陽時、十神、大運、農曆轉陽曆、地支合沖刑害等場景;引導 agent 使用 OpenFate deterministic calculation tools,而不是手動推算。
> Interactive interview that extracts content ideas from a professional's real work week. Through a structured but natural conversation, Claude helps the user discover insights, stories, and angles from their daily work that can become high-value personal brand content (LinkedIn posts, newsletters, talks, etc.). Use this skill whenever someone wants to find content ideas from their work, mentions "what should I post about", "I don't know what to write", "help me find content", "content from my week", "personal brand content", "weekly content review", or anything about mining their professional experience for things worth sharing. Also trigger when someone says they have nothing interesting to say or post — that's exactly who this is for.
Creates a comprehensive, structured learning plan to help the user master any skill quickly and effectively. Use this skill every time the user wants to learn something new, acquire a skill, improve at an ability, or asks how to study or practice something. Trigger on phrases like "I want to learn", "how do I learn", "help me study", "how to get better at", "I want to become good at", "learning plan for", "how to acquire the skill of", "teach me", "I need to learn", "how to master", "learning roadmap for", "help me get started with". Also trigger whenever the user mentions any technical, soft, linguistic, professional, or creative skill they want to develop — even if the request is casual or informal.
Activates a rigorous, role-specific mock interview simulation that adapts to your target job, company, and experience level. Use this skill every time the user wants to practice for a job interview, simulate a hiring conversation, stress-test their answers, or get feedback on how they present themselves. Trigger on phrases like "prepare me for an interview", "run a mock interview", "let's practice for my interview", "simulate a hiring manager", "ask me interview questions", "help me prep for [company/role]", "I have an interview coming up", or any mention of interview anxiety, preparation, or a specific role the user is applying for. Also trigger when the user pastes a job description and asks what to expect. Do NOT use for general career advice or resume reviews — use a dedicated skill for those.
Master skill that runs the full PlanetScale safe best-practices assessment — inventory, engine review, Insights, Traffic Control, webhooks, schema recommendations, codebase instrumentation, and agent operating model — then produces a unified recommendations report. Never applies changes without explicit approval. Use when the user asks to run the full assessment, all skills, or PlanetScale best-practices review.
>- Use the PlanetScale CLI (pscale) from automated agents with --format json, auth check, pscale sql, and per-command --force. Run before other PlanetScale skills when driving pscale directly. Use when the user asks to automate pscale, run CLI commands headless, or verify pscale auth from an agent.
Configure safe agent behavior around PlanetScale MCP, Insights, schema recommendations, and repository work without autonomous production mutation.
This skill should be used when orchestrating complex writing workflows with multiple phases. It provides two-agent orchestration patterns, the two-gate content readiness assessment, 10 baseline writing strategies, 20+ situational strategies, and quality checkpoints. Inspired by the Spiral Writing System.
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 tool integrations.
Create a structured session handoff document for continuity across sessions. Use when ending a work session, switching contexts, or before a break. Captures decisions, progress, code changes, and next steps so a future session can pick up where you left off without losing context.
Debug AI agents and LLM applications via Langfuse MCP. Use when investigating traces, exceptions, slow generations, sessions, prompt versions, datasets, or evaluation sets. Triggers on "langfuse", "traces", "debug AI", "find exceptions", "what went wrong", "why is it slow", "datasets", "evaluation sets".
Documenta projeto Power BI (PBIP) inteiro em markdown estruturado + HTML navegável (mini-site de doc). Use quando o usuário pedir "documenta esse projeto", "gera doc do power bi", "explica esse modelo", "preciso entregar handoff", ou apontar uma pasta PBIP pra mapeamento descritivo (não auditoria).
Use this skill when NeMo Relay is installed or imported but application-side runtime behavior is missing or incorrect, including load failures, inactive scopes, missing events, and plugin or adaptive wiring problems.
Use this skill when an application owns tool or LLM/provider call sites and needs to wrap them with NeMo Relay scopes and managed execution APIs for lifecycle events, middleware, or guardrails.
Use this skill when concurrent requests, async tasks, threads, workers, goroutines, or agents need independent NeMo Relay scope stacks and correct ancestry propagation.
Use this skill when baseline NeMo Relay instrumentation exists and the user wants to configure or evaluate adaptive plugin behavior, including telemetry, state, adaptive_hints, tool_parallelism, ACG, hint consumption, or measured rollout.
> Guide for using Apollo MCP Server to connect AI agents with GraphQL APIs. (2) defining MCP tools from GraphQL operations, (3) using introspection tools (introspect, search, validate, execute), (4) troubleshooting MCP server connectivity or tool execution issues.
> (1) users want to create a new skill, (2) users want to update an existing skill, (3) users ask about skill structure or best practices, (4) users need help writing SKILL.md files.
Neo4j .NET Driver v6 — IDriver lifecycle, DI registration (singleton), ExecutableQuery fluent API, ExecuteReadAsync/ExecuteWriteAsync managed transactions, IResultCursor (FetchAsync/ ToListAsync), record value access (.Get<T>/As<T>), null safety, UNWIND batching, temporal types, await using, EagerResult, object mapping, CancellationToken, error handling, and common traps. Use when writing C# or .NET code connecting to Neo4j. Also triggers on Neo4j.Driver, IDriver, ExecutableQuery, ExecuteReadAsync, ExecuteWriteAsync, IResultCursor, IAsyncSession, or any Bolt/Aura work in .NET/C#. Does NOT handle Cypher authoring — use neo4j-cypher-skill. Does NOT cover driver version upgrades — use neo4j-migration-skill.
Authoritative reference for the neo4j-agent-memory Python package — a graph-native memory system for AI agents built on Neo4j — and for the hosted service (NAMS) at memory.neo4jlabs.com. Use this skill whenever the user mentions neo4j-agent-memory, agent memory with Neo4j, context graphs, the POLE+O model, MemoryClient/MemorySettings, the memory MCP server, or any of the framework integrations (LangChain, PydanticAI, CrewAI, AWS Strands, Google ADK, Microsoft Agent Framework, OpenAI Agents, LlamaIndex). Also use when the user mentions the hosted service at memory.neo4jlabs.com, NAMS, the Neo4j Agent Memory Service, the `nams_` API key prefix, or the hosted MCP endpoint. Also use when writing documentation, blog posts, tutorials, PRDs, or code samples for the project, when comparing agent memory approaches, or when positioning graph-native memory against vector-only approaches — even if the user doesn't explicitly name the package.
Use when working with Neo4j command-line tools — neo4j-cli (modern unified neo4j-admin (backup, restore, import, memory sizing), cypher-shell (ad-hoc queries, scripting, CI/CD), or neo4j-mcp (quick MCP server install). Does NOT cover Cypher query authoring — use neo4j-cypher-skill. Does NOT cover driver upgrades — use neo4j-migration-skill. Does NOT cover full MCP editor configuration — use neo4j-mcp-skill.
Generates, optimizes, and validates Cypher 25 queries for Neo4j 2025.x and 2026.x. Use when writing new Cypher queries, optimizing slow queries, graph pattern matching, vector or fulltext search, subqueries, or batch writes. Covers MATCH, MERGE, CREATE, WITH, RETURN, CALL, UNWIND, FOREACH, LOAD CSV, SEARCH, expressions, functions, indexes, and subqueries. Does NOT handle driver migration or API changes — use neo4j-migration-skill. Does NOT cover DB administration or server ops — use neo4j-cli-tools-skill.
Manages Neo4j Aura Agents via the v2beta1 REST API — create, list, get, update, delete, and invoke Aura agents backed by an AuraDB instance. Use when configuring Aura Agent tools (CypherTemplate, SimilaritySearch, Text2Cypher), setting system prompts, deploying agents to REST or MCP endpoints, or invoking agents with natural language queries. Covers OAuth2 auth, organization/project scoping, tool parameter schemas, and InvokeAgentResponse format. Does NOT cover AuraDB instance provisioning — use neo4j-aura-provisioning-skill. Does NOT cover vector index creation — use neo4j-vector-index-skill.