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...
stuck-tombstoned-row
by sqlcssInvestigates reverse migration stuck at WaitUntilTombstonedLogicalDatabaseRowIsRecycled. Follows TSG SOC074.8. The tombstoned logical database row cannot be deleted due to a FK constraint violation from a stale scheduled UpdateSlo request.
error-26078-state-15
by sqlcssIn XDBHost, when a login request is dequeued we try to ensure that the login has not been in the queue for more than 10 seconds. If the login has remained in the queue for 10 seconds, xdbhost forcibly closes the named pipe connection with SQL and clears the socket duplication queue. While this is in progress, all logins in the queue fail with 26078/15 and all new incoming logins are failed with 40613/13.
xdbhost-metric-check
by sqlcssThis skill helps to check the common metrics on the DB node where XDBHOST resides. Metrics include TCP rejection, Average Time spent in SSL APIs, CPU usage, Memory usage, etc. The skill can help to screen if there is any issue on XDBHOST which causes the connectivity problem.
xdbhost-high-tcp-rejections
by sqlcssDiagnose Azure SQL Database connectivity issues caused by XDBHost high TCP rejections on a node. Use when ICM title or Health Hierarchy alert contains "XDBHost high TCP rejections". These are node-level alerts indicating the XdbHost process is rejecting incoming TCP connections, typically accompanied by crash loops, LSASS stress, ConnectionCloseDumps, and Stalled IOCP Listener dumps. Accepts either ICM ID or direct parameters (cluster name, node name, time window). Executes Kusto queries via Azure MCP to analyze telemetry.
xdbhost-restart
by sqlcssDiagnose Azure SQL Database login failures caused by XdbHost process restarts. Use when ICM title or alert contains "HasXdbHostRestarts" LoginFailureCause, or when multiple 40613 substates (10, 12, 13, 44, 126) appear in a concentrated time window. Determines what triggered the restart, the impact scope, and whether the issue self-mitigated. Accepts either ICM ID or direct parameters (logical server name, database name, time window). Executes Kusto queries via Azure MCP to analyze telemetry.
error-40613-state-84
by sqlcssThis skill focuses on diagnosing login error 40613 with state 84. The error indicates the User DB could not access the master DB. The skill will guide you through troubleshooting steps to resolve this connectivity issue.
error-47073-state-172
by sqlcssThis skill focuses on diagnosing login error 47073 state 172 - Public Network Access Denied. This error occurs when a connection was blocked because Deny Public Network Access is enabled on the Azure SQL logical server.
brain-low-login-success-rate
by sqlcssBRAIN SLI Login Success Rate alerts fire when the ratio of successful login attempts to total login attempts for Azure SQL Databases over a defined window drops below the defined SLI threshold (only system‑caused login failures are counted as failures). These incidents require the DRI to determine whether the success rate drop is caused by service-side issues (Gateway, DB node) or platform.
ltr-backup-out-of-sla
by sqlcssDebug Azure SQL Database Long-Term Retention (LTR) backup out of SLA alerts for Sterling databases. Analyzes LTR policies, validates incidents, identifies root causes including full backup failures, LTR copy timeouts, and elastic pool issues. Required inputs from calling agent - kusto-cluster-uri, kusto-database, and database configuration variables from get-db-info skill.
hk-storage-vs-language-routing
by sqlcssRouting guide for determining whether a Hekaton issue should go to HK Storage team or HK Language (SQL DB Performance) queue based on error codes and function names.
hkrtcreatedatabase-failed
by sqlcssDiagnoses HkRtCreateDatabase failed with error 0x8800000c (HK_E_STG_NOT_FOUND) when XtpEnabled is true but database is not hekatonized.
error-5172-xtp-invalid-file-header
by sqlcssDiagnoses Error 5172 with state 101/35/33 when .xtp file header is not a valid database file header. Covers GeoDR secondary and standard/basic database scenarios.
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.