Explore AI Agent Skills & Claude Prompts
Discover open-source agent skills for Claude Code, Codex, ChatGPT, and any tool that uses SKILL.md.
Enter through keywords, occupations, creators, and GitHub sources to see what kinds of skills are emerging across domains.
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Connect 381,784 public skills to your own search, analytics, or agent workflow with the REST API.
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shipyard-brainstorming
by lgbarnYou MUST use this before any creative work — creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements, and design through Socratic dialogue before implementation. Also use when the user says "I want to add", "let's design", "what if we", "I have an idea", or when a design discussion is happening. Invoked by /shipyard:brainstorm for requirements gathering.
shipyard-executing-plans
by lgbarnUse when you have a written implementation plan to execute, either in the current session with builder/reviewer agents or in a separate session with review checkpoints. Also use when the user says "build this", "implement this", "execute the plan", "run the plan", or when a plan file has been loaded with independent tasks suitable for agent dispatch.
garden-fertilizer
by lgbarnBuild science-based organic fertilizer recipes from purchasable ingredients for any garden type. Use this skill whenever the user mentions fertilizer, soil amendments, plant feeding, NPK, compost tea, garden nutrition, soil building, raised bed soil mix, or seasonal feeding schedules — even if they don't say 'fertilizer' explicitly. If they're talking about what to feed their plants, why leaves are yellowing, or how to prep a bed for spring, this skill applies.
research
by lgbarnExhaustive investigative research that definitively answers questions or explores topics. Combines deep Socratic questioning (grill-me style) with parallel agent dispatch for information gathering, producing a referenced document with evidence-backed findings. Use when the user says "research", "investigate", "deep dive", "find out about", "what do we know about", "how should I build", "what's the best approach to", asks an open-ended knowledge question, wants to evaluate options outside the codebase, needs a definitive answer to a complex question, or wants a research-driven implementation specification. Do NOT use for codebase exploration or code review.
strategy-report
by lgbarnWrite a structured trading-strategy assessment, indicator explainer, or model/workflow guide and save it to the repo's docs folder. Use when the user says "write up the final assessment as a report", "write up a detailed summary", "write a detailed summary so I have multiple options", "explain why I'd use one over the other", "assess strategy X vs Y", "document this so we can reproduce it", "write a highly detailed document with all results", "make this my workflow guide", or wants a strategy/indicator/model comparison written to docs. Trading-strategy specific — distinct from the general-purpose tech-writer skill.
recipe-creator
by lgbarnCreate original recipes from scratch with expertise in world cuisines, African American Southern soul food, flavor pairing science, baking science, cooking chemistry, and beverage pairing. Use whenever someone mentions food, cooking, recipes, meals, dishes, ingredients, baking, grilling, meal prep, drinks, cocktails, or what to drink with dinner. Also use when someone asks "what should I make for dinner", "I have these ingredients", "what goes well with X", "meal ideas", "what pairs with", "what should I drink with this", "make me a cocktail", "create a drink", or describes available ingredients and wants suggestions. Triggers on any food-related request including dietary adaptations, cuisine exploration, flavor pairing questions, baking troubleshooting, drink creation, beverage pairing, or "help me cook something". Even casual mentions like "I'm hungry" or "dinner tonight" with any cooking context should activate this skill.
dashpilot
by lgbarnChrome extension + MCP server for live read-only inspection of the active browser tab. Captures HTTP fetch requests with response bodies, WebSocket frames, React component props/state/hooks, TanStack React Query cache, lightweight-charts candlestick/OHLCV data, and Recharts state. Use this skill whenever the user wants to see what a web page is doing, inspect browser tab activity, debug dashboard or web app behavior, read API response bodies, check what endpoints a page is hitting, examine React component props or state, look at query cache staleness, or extract chart data points. Also use when the user mentions DashPilot, page snapshot, network log, fetch calls, API traffic, websocket messages, CSS computed styles, or anything about observing/inspecting a live web page. This skill is for observation only — if the user wants to click, navigate, type, or take screenshots, use Chrome DevTools MCP instead.
kdiag
by lgbarnDiagnose and troubleshoot Kubernetes cluster problems using the kdiag CLI. This skill MUST be consulted for ANY Kubernetes operational issue: pods crashing or stuck Pending, deployments not rolling out, services unreachable, DNS failures, ingress not routing, node pressure or capacity problems, missing ConfigMaps/Secrets, network policy conflicts, and EKS-specific issues like VPC CNI errors, ENI/IP exhaustion, security groups, or VPC endpoint verification. Activate on ANY mention of debugging, diagnosing, or investigating problems in a Kubernetes cluster — even vague reports like "my app isn't working" or "something broke in prod" when Kubernetes is involved. Do NOT activate for writing new Kubernetes manifests/operators/Helm charts, setting up CI/CD, provisioning infrastructure with Terraform, or application code development.
grill-resume
by lgbarnTear apart resume bullets and interview stories relentlessly, one at a time — vague verbs, unquantified impact, missing context, buried action, no result — until each bullet is crisp, quantified, and STAR-shaped (Situation, Task, Action, Result). Use when the user wants their resume grilled, says "grill resume", "grill my resume", "review my resume", "make these bullets stronger", "interview prep on my stories", "prep me for behavioral interviews", or shares a CV / bullet / job story and wants it sharpened.
kdiag
by lgbarnDiagnose and troubleshoot Kubernetes cluster problems using the kdiag CLI. This skill MUST be consulted for ANY Kubernetes operational issue: pods crashing or stuck Pending, deployments not rolling out, services unreachable, DNS failures, ingress not routing, node pressure or capacity problems, missing ConfigMaps/Secrets, network policy conflicts, and EKS-specific issues like VPC CNI errors, ENI/IP exhaustion, security groups, or VPC endpoint verification. Activate on ANY mention of debugging, diagnosing, or investigating problems in a Kubernetes cluster — even vague reports like "my app isn't working" or "something broke in prod" when Kubernetes is involved. Do NOT activate for writing new Kubernetes manifests/operators/Helm charts, setting up CI/CD, provisioning infrastructure with Terraform, or application code development.
eks-patterns
by lgbarnEKS cluster patterns and best practices for Terraform. Provides cluster, node group, add-on, and IRSA scaffolds. Use when developing EKS infrastructure.
Browse Agent Skills by Occupation
23 major groups · 867 SOC occupations
Browse by Category
Explore agent skills organized by their primary use case
Explore the agent skills ecosystem by occupation and creator
SkillMD is not just a keyword search box. It is an open map that organizes public skills by occupation, creator, and repository, helping you see which workflows, judgment criteria, and domain habits people are writing for AI agents.
Then follow creators and GitHub repositories back to the source: compare the skills a team maintains, whether the repo is active, and how the README frames the work before you open, install, or reuse anything.
Use it three ways: learn an unfamiliar field by occupation, study how creators organize skills, then use source context to decide what is worth opening or reusing.
01 Map a field
Browse 23 occupation groups and 867 SOC roles to learn what skills exist in adjacent domains and how they break down real work.
02 Follow creators
Use creator and repository pages to inspect maintained skill collections, recent updates, and source context before trusting a result.
03 Search with sources
Search 1.7M+ collected skills, then use occupation tags, creators, and GitHub source context to decide what is worth opening.
Start with the occupation map, then follow creators and repositories back to real code. SkillMD helps explain why a skill is worth opening, not only what it is named.
Standardizing Agent Capabilities with SKILL.md and Model Context Protocol (MCP)
In the rapidly evolving landscape of artificial intelligence, LLM agents (Large Language Model agents) have transitioned from simple text predictors to autonomous problem solvers. To orchestrate complex, multi-step agentic workflows, developers require a standardized format to specify agent capabilities, prompt instructions, system rules, and database bindings. This is where SKILL.md and the Model Context Protocol (MCP) have emerged as standard developer paradigms. SkillMD serves as the central directory for indexing, exploring, and sharing these critical agent configurations.
Our open-source registry currently tracks over 1.7 million collected SKILL.md configurations and system prompts. By compiling agent configurations from active developers on GitHub, we bridge the gap between prompt engineering research and production execution. Whether you are building agents with Anthropic's Claude Code, OpenAI's GPT-4, Google's Gemini, or local models using Ollama and LlamaIndex, standardized skill definitions ensure your agents behave predictably across different runtime environments.
What is the Model Context Protocol (MCP)?
The Model Context Protocol (MCP) is an open-source standard designed to connect LLMs to data sources, developer tools, and external environments. MCP establishes a bidirectional communication channel between client applications (like Cursor, Claude Desktop, or custom agent systems) and servers hosting data or capabilities. Standardizing instructions via SKILL.md enables LLMs to query databases, read local files, execute terminal commands, and integrate third-party APIs. SkillMD allows you to find ready-to-run MCP servers and prompt instructions for various occupations and technical tasks.
The Structure of a Professional SKILL.md File
A valid SKILL.md configuration is designed to be easily read by humans and parsed by LLMs. It contains precise system instructions, trigger conditions, required parameters, and execution examples. Below is the typical architectural blueprint of a professional agent skill:
- Metadata & Core Scope: Declares the name of the skill, author details, target models, and a description of the capability.
- Triggers & Intent Detection: Details semantic triggers that help the agent decide when to invoke this skill.
- System Prompts: Explicit system-level instructions that direct the agent's behavior, personality, safety guardrails, and formatting preferences.
- Capabilities & Tools: Lists the files, databases, or APIs the agent must access to complete the tasks.
- Few-Shot Examples: Demonstrates real inputs and outputs, helping the model generalize behavior through in-context learning.
Optimizing Agent Workflows for Modern LLMs
Writing effective agent skills requires deep knowledge of prompt engineering. With the release of advanced reasoning models like Claude 3.5 Sonnet, ChatGPT o1, and DeepSeek-V3, prompt templates must focus on structured thinking. Developers are encouraged to use XML tags (e.g., <thought>, <context>, and <rules>) to isolate execution boundaries. Standardized prompts prevent agents from suffering from context drift, ensuring that long-running tasks remain aligned with the initial system parameters.
Exploring by SOC Occupations and Creator Profiles
What makes SkillMD unique is its taxonomy. Instead of simple text search, we parse and organize files according to the Standard Occupational Classification (SOC) system. This means you can discover skills written for Computer and Mathematical roles, Business and Financial operations, Legal, Design, and and Educational Instruction fields. By tracking creator profiles, developers can study how different teams organize their custom instructions, compare version updates, and fork public configs for specialized enterprise use cases.
SkillMD operates as a high-performance index running on a fast Go backend and a highly responsive Astro SSR frontend. All search queries execute in milliseconds, featuring smart debouncing to prevent multiple API requests while keeping user data secure. Join our community of developers to standardize your AI agent instructions and optimize your LLM prompting workflows today.
Frequently Asked Questions
A practical guide to agent skills: what they are, how to inspect them, and how SkillMD helps you explore the ecosystem.