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.
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treatment-outcome
by tinh2Analyze behavioral health outcome tracking systems for clinical measurement validity, treatment effectiveness, and provider performance comparison. Evaluates PHQ-9, GAD-7, PCL-5, and AUDIT instrument scoring accuracy, longitudinal trend analysis with Reliable Change Index, risk-adjusted provider benchmarking, evidence-based practice fidelity monitoring, and quality reporting for HEDIS, MIPS, and CARF accreditation.
pci-dss
by tinh2PCI DSS v4.0 compliance audit for payment-handling codebases. Scans for PAN patterns (Visa, Mastercard, Amex, Discover), CVV storage violations, and track data retention. Audits all 12 requirements: network security controls (firewall rules, CDE segmentation, default-deny), secure configurations (default credentials, hardening), stored cardholder data protection (AES-256 encryption, masking first-6/last-4, tokenization, key rotation), transmission encryption (TLS 1.2+, certificate pinning, HSTS), vulnerability management (dependency scanning, container image scanning, web skimming detection per 6.4.3, SRI, CSP), access control (RBAC, least privilege, MFA for CDE per 8.4.2, 12-char passwords, session timeout), logging and monitoring (audit trails, immutable logs, SIEM, NTP sync), and security testing (SAST, DAST, file integrity monitoring). Estimates SAQ type (A, A-EP, D). Use when building or auditing payment flows, Stripe/Braintree/Adyen integrations, or any system processing credit card data.
travel-operations
by tinh2Analyze airline, airport, cruise, and tour operator systems for ground handling efficiency, aircraft turnaround optimization, disruption management, and GDS integration. Covers IATA/ICAO compliance, IROPS recovery, on-time performance tracking, embarkation logistics, transfer coordination, and NDC implementation for travel technology platforms.
rehab-therapy
by tinh2Audit a rehabilitation or physical therapy platform end-to-end -- evaluate recovery metrics tracking (ROM, strength, balance, gait), patient-reported outcomes (DASH, LEFS, NDI, ODI, PROMIS), home exercise program personalization and compliance tracking, setback prediction with risk stratification and plateau detection, therapist scheduling and caseload balancing, insurance authorization and 8-minute rule CPT billing, and outcome-based care measurement with MIPS quality reporting. Covers outpatient orthopedic, inpatient rehab, sports medicine, neuro rehab, and telerehab settings.
environmental-compliance
by tinh2Audit environmental software for EPA reporting (CEDRI, NetDMR, RCRAInfo), Clean Air Act (Title V, NESHAP, CEMS, TRI), Clean Water Act (NPDES, SWPPP, SPCC), RCRA hazardous waste tracking (manifests, biennial reports), NEPA environmental impact assessment workflows, GHG reporting, and compliance calendar management. Use when reviewing environmental management systems, permit tracking, emissions monitoring, waste management, or environmental impact assessment software.
mls-listing-craft
by tinh2Generate MLS-compliant property listing copy in five length variants (tagline, MLS-short ≤250 char, MLS-long ≤4000 char, marketing description ~600-800 words, social caption) PLUS schema.org RealEstateListing JSON-LD for SEO/AEO syndication. Auto-runs HUD Fair Housing Act compliance check (catches discriminatory language patterns — "perfect for families", "walking distance", "exclusive", "safe neighborhood", "Christian community", etc.). TRIGGER on phrases like "MLS listing", "property listing description", "listing copy", "real estate description", "Zillow listing", "compelling listing", "write the listing", "MLS remarks", "marketing copy for [property]", "open house copy". Saves agents 30-60 minutes per listing — and prevents the fair-housing violations that cost agents licenses.
climate-risk-agriculture
by tinh2Analyze agricultural climate risk systems for weather impact modeling, crop insurance, drought/flood prediction, soil moisture, and carbon tracking. Use when: 'assess crop climate risk', 'evaluate weather yield models', 'review crop insurance integration', 'audit drought prediction', 'check carbon sequestration tracking', 'analyze farm adaptation planning', 'evaluate DSSAT or APSIM models'.
defense-maintenance
by tinh2Analyze defense maintenance and readiness systems — MRO optimization, mission capable rate tracking, reliability-centered maintenance (RCM), condition-based maintenance (CBM+), depot-level analytics, configuration management, and workforce planning. Audit weapon system sustainment software per MIL-STD-3034, AR 750-1, and DoD CBM+ frameworks.
therapist-documentation
by tinh2Audit therapy and behavioral health documentation platforms for clinical quality and regulatory compliance. Reviews SOAP, DAP, and BIRP note template structure, note completeness enforcement and timeliness deadlines, note locking and amendment/addendum workflows, DSM-5 diagnostic code completeness, ICD-10-CM crosswalk accuracy and annual update currency, diagnostic code validation and billing alignment, informed consent lifecycle (treatment, telehealth, release of information, minor consent) with electronic signature and expiration enforcement, treatment plan documentation (goals, objectives, interventions, review periods) with plan-note linkage, clinical supervision hour tracking for licensure (individual, group, direct observation), supervisory co-signature enforcement, and HIPAA compliance (RBAC with minimum-necessary access, encryption at rest and in transit, audit logging with 6-year retention, breach detection, PHI leak prevention in logs and errors, client record access and amendment rights). Supports
mining-safety
by tinh2Analyze mining safety management systems including incident investigation quality (ICAM, TapRooT, BowTie analysis), hazard identification and risk register completeness, critical control verification per ICMM framework, occupational health exposure monitoring (respirable dust, silica, noise dosimetry), ground control and geotechnical safety (pit slope stability, underground support, tailings per GISTM), emergency preparedness and mine rescue capability, and regulatory compliance with MSHA 30 CFR, state WHS Acts, and ILO Convention 176.
parts-inventory
by tinh2Analyze MRO parts inventory systems for field service optimization -- truck stock composition, first-time fix rate improvement, reorder point calculation, safety stock sizing, obsolescence detection, and demand forecasting. Covers Croston's method for intermittent demand, SBA/TSB variants, ABC-VED classification, multi-echelon inventory placement, and equipment-driven demand modeling. Use when optimizing technician truck stock, calculating reorder points, identifying obsolete inventory, or improving warehouse fill rates.
contract-test
by tinh2Generate consumer-driven contract tests for APIs. Auto-detects framework (Express, Fastify, NestJS, Django, FastAPI, Go), selects Pact, OpenAPI validation, or schema snapshots, verifies backward compatibility, catches breaking changes before deploy, and configures CI verification. Use when you need to validate API schemas, prevent breaking changes, verify backward compatibility, or set up consumer-driven contracts.
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.