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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thai-translate
by Boom-VittUse this skill for any task involving English-Thai or Thai-English translation, localization, or rewording. Trigger whenever the user asks to: translate text between Thai and English, localize content for a Thai audience, render English idioms in Thai (or vice versa), pick the right pronouns and register, choose between keeping a term in English vs ทับศัพท์, or fix awkward translations. Also trigger for requests like "แปลเป็นไทย", "แปลอังกฤษเป็นไทย", "ช่วยแปลหน่อย", "localize Thai", "translate this", "Thai version", or any variation. If the task involves moving meaning between Thai and English at any level — word, sentence, document — use this skill.
thai-government-form
by Boom-VittUse this skill for any task involving Thai government letters, official correspondence, formal petitions, authorization letters, leave requests, or ราชการ forms. Trigger whenever the user asks to: write หนังสือราชการ, draft a คำร้อง, write an authorization (หนังสือมอบอำนาจ), submit a leave form (ใบลา), petition a government agency, or write a formal letter to a Thai official. Also trigger for requests like "เขียนหนังสือราชการ", "ยื่นเรื่อง", "คำร้อง", "หนังสือถึงราชการ", "ทำหนังสือถึง", "ใบลา", "หนังสือมอบอำนาจ", "official Thai letter", or any formal ราชการ document task.
thai-address
by Boom-VittUse this skill for any task involving Thai postal address parsing, validation, formatting, or province/postcode lookup. Trigger whenever the user asks to: parse a Thai address into fields, validate a 5-digit Thai postcode, look up a province from its postcode, or format an address for a shipping label. Also trigger for requests like "แยกที่อยู่ไทย", "ตรวจรหัสไปรษณีย์", "แปลที่อยู่เป็นภาษาอังกฤษ", "ที่อยู่จัดส่ง", or any variation involving Thai addresses with ตำบล/แขวง/อำเภอ/เขต/จังหวัด.
thai-invoice
by Boom-VittUse this skill for any task involving Thai tax invoices, receipts, quotations, or withholding-tax certificates. Trigger whenever the user asks to: draft a Thai tax invoice (ใบกำกับภาษี), receipt (ใบเสร็จ), quotation (ใบเสนอราคา), credit/debit note (ใบลดหนี้/ใบเพิ่มหนี้), or WHT certificate (ภ.ง.ด.3/53). Also trigger for requests like "ออกใบกำกับภาษี", "ใบเสร็จ", "ใบเสนอราคา", "Thai tax invoice", "VAT 7%", "ภาษีหัก ณ ที่จ่าย", or any variation. If the context involves Thai accounting documents under Revenue Code §86/4, use this skill.
thai-your-skill-name
by Boom-VittUse this skill for any task involving REPLACE-WITH-THE-THAI-CONTEXT (e.g. parsing some Thai data format, drafting a specific kind of Thai document, validating a Thai-specific identifier). Trigger whenever the user asks to PRIMARY-TASK in Thai or English, or when the prompt contains REPLACE-WITH-THAI-TRIGGER-PHRASES like "REPLACE", "REPLACE", "REPLACE". Also trigger for English variants such as "REPLACE" or "REPLACE". Make sure to use this skill whenever the request touches the Thai-specific edge case described above, even if the user does not explicitly name the skill.
thai-customer-service
by Boom-VittUse this skill for any task involving Thai customer service messaging — replies, apologies, status updates, refund/return scripts, and auto-replies on LINE OA, Facebook Page, Shopee, Lazada, Instagram DM, TikTok Shop, and similar channels. Trigger whenever the user asks to: reply to a Thai customer, draft an apology, write a refund or return message, write an auto-reply, de-escalate an angry customer, or send a shipping/status update in Thai. Also trigger for requests like "ตอบลูกค้า", "reply LINE OA", "ตอบแชท", "Shopee reply", "ข้อความขอโทษลูกค้า", "customer service Thai", "เขียน auto reply", "ตอบ inbox", or any variation. If the output is a Thai message from a business to a customer, use this skill.
thai-resume
by Boom-VittUse this skill for any task involving Thai-language or bilingual (TH/EN) resumes and CVs. Trigger whenever the user asks to: write a Thai resume, draft a CV in Thai, build a bilingual Thai-English resume, format an application for a Thai employer, choose between พ.ศ. and ค.ศ. dates in a CV, or tailor a resume for ราชการ, MNC, or tech startups in Thailand. Also trigger for requests like "เขียนเรซูเม่", "เขียน CV ภาษาไทย", "เรซูเม่สองภาษา", "สมัครงาน ราชการ", "เขียนเรซูเม่ภาษาไทย", or any variation involving Thai job applications.
thai-financial-projection
by Boom-Vittคำนวน 3-yr P&L + cashflow สำหรับ SME ไทย ใช้ corporate tax tier ที่ถูกต้อง (0/15/20%), VAT cycle, SSO 5%+5%, ภงด.50/51 timing — ไม่ใช้ tax 20% flat แบบ template ฝรั่ง
thai-business-registration
by Boom-VittDecision tree เลือกประเภทจดทะเบียนธุรกิจในไทย — ทะเบียนพาณิชย์ (sole prop) vs หจก. vs บริษัทจำกัด vs BOI — flag VAT trigger (1.8M฿), SSO trigger (พนักงาน 1+ คน), ภาระบัญชี/ตรวจสอบ
thai-sourcing-landed-cost
by Boom-Vittคำนวน landed cost ของสินค้าที่ import จาก 1688/Alibaba/global supplier — รวม import duty ตาม HS code, VAT 7% on CIF, flag FDA/TISI/มอก. registration requirement
thai-cashflow-survival
by Boom-Vittกางปฏิทิน 90 วันของ cashflow สำหรับ SME ไทย โดย lock timing ที่ฝรั่งไม่รู้ — credit term 30/60/90, VAT refund 3-6 เดือน, PND.1 (วันที่ 7), SSO (15), ภพ.30 (15), ภงด.50/51, เงินเดือน
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.