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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ai-agent-posture
by SCStelzUse this skill when asked to audit, assess, or report on AI agent security posture across Copilot Studio, Microsoft 365 Copilot, Microsoft Foundry, and third-party agents. Triggers on keywords like "AI agent posture", "agent security audit", "Copilot Studio agents", "agent inventory", "agent access", "broadly accessible agents", "agent tools", "MCP tools on agents", "agent knowledge sources", "XPIA risk", "agent sprawl", "AI agent risk", "agent governance", or when investigating AI agent configurations, access posture, tool permissions, or credential exposure. This skill queries the AgentsInfo table in Advanced Hunting to produce a comprehensive security posture assessment covering agent inventory, access posture, broadly-accessible agent exposure, MCP tool proliferation, knowledge source exposure, XPIA email exfiltration risk, hard-coded credential detection, external endpoint risks, creator governance, and agent sprawl analysis. Supports inline chat and markdown file output.
user-investigation
by SCStelzUse this skill when asked to investigate a user account for security issues, suspicious activity, or compliance review. Triggers on keywords like "investigate user", "security investigation", "user investigation", "check user activity", "analyze sign-ins", or when a UPN/email is mentioned with investigation context. This skill provides comprehensive Entra ID user security analysis including sign-in anomalies, MFA status, device compliance, audit logs, security incidents, Identity Protection risk, and automated reports (HTML, markdown file, or inline chat).
sentinel-ingestion-report
by SCStelzSentinel Ingestion Report — YAML-driven PowerShell pipeline gathers all data via az monitor/az rest/Graph API, writes a deterministic scratchpad, LLM renders the report. Covers table-level volume breakdown, tier classification (Analytics/Basic/Data Lake), SecurityEvent/Syslog/CommonSecurityLog deep dives, ingestion anomaly detection (24h and WoW), analytic rule inventory via REST API, rule health via SentinelHealth, detection coverage cross-reference, tier migration candidates with DL-eligibility lookup, license benefit analysis (DfS P2 500MB/server/day, M365 E5 data grant). Inline chat and markdown file output.
mitre-coverage-report
by SCStelzMITRE ATT&CK Coverage Report — YAML-driven PowerShell pipeline gathers analytic rule MITRE tags, custom detection techniques, SOC Optimization recommendations, and alert/incident operational data via az rest/az monitor/Graph API, writes a deterministic scratchpad, LLM renders the report. Covers tactic-level coverage matrix, technique-level drill-down with rule mapping, coverage gap identification, SOC Optimization threat scenario alignment, untagged rule remediation, ICS/OT technique tracking, and MITRE Coverage Score (5 weighted dimensions). Inline chat and markdown file output.
identity-posture
by SCStelzAudit identity security posture across the organization. Triggers on keywords like "identity posture", "identity security report", "account hygiene", "stale accounts", "privileged accounts", "password posture", "identity providers", "multi-provider identity", "identity sprawl", "service accounts", "deleted accounts with roles", "cross-IdP", "honeytoken", "sensitive accounts". Queries IdentityAccountInfo in Advanced Hunting (enriched with IdentityInfo and IdentityLogonEvents) for a posture assessment covering account inventory by provider, privileged account audit, stale/deleted account hygiene, password posture, risk distribution, multi-provider identity linking, MDI tag analysis, and department-level insights. Inline chat or markdown output.
exposure-investigation
by SCStelzUse this skill when asked to generate a vulnerability and exposure management report, assess security posture, or review CVEs, security configurations, and attack paths. Triggers on keywords like "vulnerability report", "exposure report", "CVE assessment", "security posture", "vulnerability assessment", "exposure management", "patch status", "end of support", "security recommendations", "attack paths", "critical assets", "configuration compliance", "Defender device health", "security score", "TVM", "threat and vulnerability management", or when asking about overall organizational vulnerability/exposure state. This skill queries DeviceTvm* tables and ExposureGraphNodes/Edges to produce a comprehensive posture report covering CVEs, exploitable vulnerabilities, security configuration compliance, end-of-support software, critical asset inventory, attack paths, Defender device health, and certificate status. Supports org-wide and per-device scoping with inline chat and markdown file output.
data-security-analysis
by SCStelzAnalyze data security events, sensitive information type (SIT) access, sensitivity label access, DLP matches, or Purview insider risk activity. Triggers on keywords like "data security", "sensitive information type", "SIT access", "DLP events", "DataSecurityEvents", "EDM access", "credit card access", "insider risk activity", "Purview data security", "sensitivity label", "label downgrade", "label change", "Copilot label exposure". Queries DataSecurityEvents in Advanced Hunting to produce SIT and label access analysis: volume breakdowns, user drill-downs, file inventories, action type distribution, DLP correlation, label change tracking, Copilot label exposure, temporal patterns, and risk-ranked user summaries. Inline chat or markdown output. Designed for large environments (100k+ users) with tiered drill-down.
app-registration-posture
by SCStelzAudit Entra ID app registration and service principal security posture. Triggers on keywords like "app registration posture", "service principal permissions", "dangerous app permissions", "app ownership", "app credential abuse", "SPN lateral movement", "app consent grant", "overprivileged apps", "cross-tenant SPN", "app registration kill chain", "app persistence", "credential add chain", "Graph API permissions audit". Combines Graph API current-state inventory (dangerous permissions, ownership, credential hygiene) with KQL chain detection (AuditLogs, AADServicePrincipalSignInLogs, AADUserRiskEvents, MicrosoftGraphActivityLogs) for posture assessment covering permission concentration, owner risk, credential hygiene, cross-tenant exposure, and active abuse signals. Includes 5-dimension App Permission Risk Score. Inline chat or markdown output.
email-threat-posture
by SCStelzGenerate email threat protection reports and assess email security posture. Triggers on keywords like "email threat report", "email security posture", "phishing report", "MDO report", "Defender for Office 365 report", "ZAP effectiveness", "Safe Links report", "DMARC report", "spam report", "email volume report". Queries EmailEvents, EmailPostDeliveryEvents, UrlClickEvents, and EmailAttachmentInfo in Advanced Hunting for a posture assessment covering inbound mail flow, threat composition, phishing detection, email authentication (DMARC/DKIM/SPF), post-delivery remediation (ZAP), Safe Links click protection, attachment analysis, detection method effectiveness, and delivery disposition. Supports inline chat, markdown file, and SVG dashboard output.
mcp-usage-monitoring
by SCStelzUse this skill when asked to monitor, audit, or analyze MCP (Model Context Protocol) server usage in the environment. Triggers on keywords like "MCP usage", "MCP server monitoring", "MCP activity", "Graph MCP", "Sentinel MCP", "Azure MCP", "MCP audit", "tool usage monitoring", "MCP breakdown", "who is using MCP", or when investigating MCP user activity, Graph API calls from MCP servers, or workspace query governance. This skill provides comprehensive MCP server telemetry analysis across Graph MCP, Sentinel MCP, and Azure MCP servers including usage trends, endpoint access patterns, user attribution, cross-server user analysis, sensitive API detection, workspace query governance, and security risk assessment with inline and markdown file reporting.
kql-query-authoring
by SCStelzUse this skill when asked to write, create, or help with KQL (Kusto Query Language) queries for Microsoft Sentinel, Defender XDR, or Azure Data Explorer. Triggers on keywords like "write KQL", "create KQL query", "help with KQL", "query [table]", "KQL for [scenario]", or when a user requests queries for specific data analysis scenarios. This skill uses schema validation, Microsoft Learn documentation, and community examples to generate production-ready KQL queries.
authentication-tracing
by SCStelzUse this skill when asked to trace authentication flows, analyze SessionId chains, investigate token reuse vs interactive MFA, or assess geographic anomalies in sign-ins. Triggers on keywords like "trace authentication", "trace back to interactive MFA", "SessionId analysis", "token reuse", "geographic anomaly", "impossible travel", or when investigating suspicious sign-in locations. This skill provides forensic analysis of Entra ID authentication chains to distinguish legitimate activity from credential/token theft.
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.