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...
frappe-errors-permissions
by vyogotechUse when debugging or handling permission errors in Frappe/ERPNext. Prevents broken document access from throwing in permission hooks. Covers PermissionError (403), has_permission hook failures, User Permission restricting too much or too little, perm_level blocking field access, System Manager bypass not working, Guest access denied, sharing permissions not applying, permission_query_conditions breaking get_list, owner-based permissions confusion, Apply User Permission checkbox behavior, and the permission debug workflow using frappe.permissions.get_doc_permissions. Keywords: PermissionError, has_permission, permission_query_conditions,, permission denied, cannot access, user blocked, sharing not working, role not enough. User Permission, perm_level, sharing, guest access, owner permission.
frappe-core-translation
by vyogotechUse when implementing translations/i18n in Frappe v14-v16 apps. Covers _() in Python, __() in JavaScript, CSV translation files, bench commands, string extraction rules, lazy translation _lt(), PO/MO files [v15+], RTL support, and custom app translations. Prevents common mistakes with f-strings, concatenation, and template literals that break string extraction. Keywords: translation, i18n, _(), __(), _lt(), CSV, PO, gettext,, translate my app, multi-language, text not translated, wrong language, how to add translation. bench get-untranslated, RTL, localization.
frappe-errors-serverscripts
by vyogotechUse when debugging or preventing errors in Frappe Server Scripts. Prevents ImportError (the #1 error), NameError for restricted builtins, sandbox violations, doc_events not firing, wrong script type selection, SQL injection, permission denied in scheduled scripts, infinite loops, and API scripts not returning JSON. Covers error message mapping table. Keywords: server script error, ImportError, NameError, sandbox,, ImportError in server script, script not running, sandbox error, restricted function. restricted, frappe.throw, doc_events, scheduler, API script, SQL injection.
generate-tdd-tests
by vyogotechEnforce the Iron Law of TDD for Frappe apps. Red-Green-Refactor cycle for DocTypes and Controllers.
frappe-syntax-jinja
by vyogotechUse when writing Jinja templates for ERPNext/Frappe Print Formats, Email Templates, and Portal Pages. Covers template syntax, context variables, filters, macros, and v16 Chrome PDF rendering. Prevents common mistakes with doc context and child table iteration. Keywords: Jinja, print format, email template, portal page, template syntax, PDF, v14-v16, template syntax, Jinja example, print format code, how to show child table in print.
frappe-ops-upgrades
by vyogotechUse when upgrading Frappe/ERPNext between major versions (v14 to v15, v15 to v16), troubleshooting failed migrations, or planning rollback. Prevents broken upgrades from skipped patches, incompatible customizations, and missing pre-upgrade checks. Covers version upgrade paths, bench update, migrate command, patch troubleshooting, rollback procedures, breaking changes per version. Keywords: upgrade, migration, v14, v15, v16, bench update, bench migrate, rollback, patches, breaking changes, update failed, bench update error, migration error, patches failing, rollback after upgrade..
frappe-report-generator
by vyogotechGenerate Frappe reports (query/script) with filters, charts, HTML templates, and JS customization.
frappe-patch-generator
by vyogotechGenerate and manage database migration patches in Frappe. Use when performing data transformations, schema corrections, or one-time setup tasks during app updates.
frappe-utils-api
by vyogotechMaster the Frappe Framework utility functions for date manipulation, formatting, validation, and type conversion.
frappe-external-api-connector
by vyogotechGenerate code to integrate Frappe with external REST APIs. Use when connecting to third-party services, payment gateways, or external data sources.
frappe-ux-feedback-handler
by vyogotechImplement user feedback mechanisms in Frappe, including alerts, progress bars, and modal dialogues. Use to improve communication between the system and the user.
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.