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.
Use the same catalog through the API
Connect 381,784 public skills to your own search, analytics, or agent workflow with the REST API.
Querying local SQLite index...
scbe-shopify-money-flow
by issdandavisExecute revenue-focused Shopify operations using SCBE and HYDRA command lanes with deterministic evidence, cross-talk dispatch, and workflow tuning. Use when the goal is to improve Shopify conversion, publish or refresh digital offers, coordinate monetization agents, or run pre-launch smoke checks before live store actions.
speed-line-delivery
by issdandavisDeliver terminal instructions with shell-labeled lanes and one-line command blocks so users can execute quickly without context confusion. Use when users are working across multiple terminals, mixing chat and shell actions, hitting PowerShell parsing errors, or asking to learn while still completing setup/ops tasks fast.
scbe-world-anvil-lore-rag-7th-tongue
by issdandavisBuild and operate a lore-focused RAG system using World Anvil exports and SCBE docs, with deterministic Claude/Codex cross-talk packets for handoff. Use when users ask to structure lore canon retrieval, sync worldbuilding data, enforce citation-grounded generation, or coordinate a 7th Tongue overseer lane across multiple AI agents.
scbe-entropy-dynamics
by issdandavisMonitor and compute entropy, time flow, and quantum state dynamics for the SCBE-AETHERMOORE 7th/8th/9th dimensions. Use when debugging entropy anomalies, time drift, quantum decoherence, or tuning the Ornstein-Uhlenbeck process parameters.
scbe-9d-state-engine
by issdandavisConstruct and evolve the 9-dimensional state vector xi = [c(t), tau(t), eta(t), q(t)] that drives SCBE-AETHERMOORE governance decisions. Use when building context vectors, evolving time/entropy/quantum dimensions, or preparing state for the governance gate.
scbe-governance-gate
by issdandavisEvaluate the Grand Unified Governance function G(xi, i, poly) that makes ALLOW/DENY/QUARANTINE decisions based on the full 9D state, intent, and polyhedral topology. Use when implementing or modifying the governance decision pipeline, adding new constraint checks, or debugging access decisions.
scbe-manifold-validate
by issdandavisValidate geometric integrity on the 9D Quantum Hyperbolic Manifold Memory using toroidal Riemannian distance, the Snap Protocol, and ManifoldController logic. Use when checking write permissions, computing divergence between state points, or enforcing the geometric epsilon threshold.
scbe-aligned-foundations
by issdandavisUse when building, extending, or auditing the SCBE multi-representation training program that aligns mathematics, English, Sacred Tongues lane naming, binary transport framing, chemistry packets, and coding primaries into one staged curriculum. Trigger this skill for tokenizer-native language lanes, chemistry-as-structure training, coding-primaries alignment, aligned foundation dataset generation, or transfer-eval planning across those lanes.
scbe-web-research-verified
by issdandavisRun verifiable web research across mainstream news, niche outlets, and academic primary sources, then return dated evidence with confidence scoring. Use when asked to research current events, science claims, market context, or source-grounded recommendations.
scbe-email-checker
by issdandavisCheck ProtonMail and Gmail for important emails — patent updates, revenue notifications, outreach replies, security alerts. Use when asked to "check email", "check my inbox", "any new emails", "patent email", "check proton", "check gmail", or at session start for a quick email briefing.
scbe-government-contract-intelligence
by issdandavisInvestigate and prioritize U.S. federal and prime-contractor opportunities for SCBE swarm, autonomy, navigation, and AI-governance technologies. Use when evaluating SAM.gov/DIU/AFWERX/SBIR pathways, validating policy/news claims, producing capture plans, or preparing outreach packets for government-adjacent revenue.
scbe-government-contract-intelligence
by issdandavisInvestigate and prioritize U.S. federal and prime-contractor opportunities for SCBE swarm, autonomy, navigation, and AI-governance technologies. Use when evaluating SAM.gov/DIU/AFWERX/SBIR pathways, validating policy/news claims, producing capture plans, or preparing outreach packets for government-adjacent revenue.
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.