381,784 Collected SKILL.md files

Explore AI Agent Skills & Claude Prompts

Discover open-source agent skills for Claude Code, Codex, ChatGPT, and any tool that uses SKILL.md.

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Showing 12 of 275 skills
xalgord

implementing-zero-knowledge-proof-for-authentication

by xalgord
star 618

Zero-Knowledge Proofs (ZKPs) allow a prover to demonstrate knowledge of a secret (such as a password or private key) without revealing the secret itself. This skill implements the Schnorr identificati

navigation main article SKILL.md
schedule Updated 22 days ago
xalgord

pentesting-x11

by xalgord
star 618

Testing the X Window System (X11) display server during authorized engagements. X11 listens on TCP 6000+<display> and the local Unix socket /tmp/.X11-unix/X<display>. Covers detecting unauthenticated ("xhost +") access with nmap NSE and Metasploit, abusing MIT-MAGIC-COOKIE-1 auth tokens from ~/.Xauthority, window/clipboard enumeration, keystroke sniffing (xspy), screenshotting (xwd), live shadowing, and keystroke injection (xdotool) for command execution.

navigation main article SKILL.md
schedule Updated 22 days ago
xalgord

exploiting-xpath-injection

by xalgord
star 618

Exploiting XPath injection where applications build XPath/XQuery expressions from unsanitized user input to query XML documents, allowing authentication bypass and blind extraction of the entire XML document (users, passwords, schema) plus out-of-band exfiltration. Activates when login or search features query XML data stores via XPath.

navigation main article SKILL.md
schedule Updated 22 days ago
xalgord

performing-xs-search-attacks

by xalgord
star 618

Performing XS-Search / XS-Leaks attacks that extract cross-origin information through side channels — using inclusion methods (frames, pop-ups, HTML elements, fetch) and leak techniques (event handlers, timing, error events, global limits like connection-pool and event-loop, CORB, postMessage, Performance API) to distinguish two states of a victim page and exfiltrate secrets. Activates when assessing cross-origin information disclosure, search endpoints, or state-dependent responses.

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schedule Updated 22 days ago
xalgord

testing-for-xml-injection-vulnerabilities

by xalgord
star 618

Test web applications for XML injection vulnerabilities including XXE, XPath injection, and XML entity attacks to identify data exposure and server-side request forgery risks.

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schedule Updated 22 days ago
xalgord

testing-for-xss-vulnerabilities-with-burpsuite

by xalgord
star 618

Identifying and validating cross-site scripting vulnerabilities using Burp Suite's scanner, intruder, and repeater tools during authorized security assessments.

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schedule Updated 22 days ago
xalgord

implementing-bgp-security-with-rpki

by xalgord
star 618

Implement BGP route origin validation using RPKI with Route Origin Authorizations, RPKI-to-Router protocol, and ROV policies on Cisco and Juniper routers to prevent route hijacking.

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schedule Updated 22 days ago
xalgord

performing-web-cache-poisoning-attack

by xalgord
star 618

Exploiting web cache mechanisms to serve malicious content to other users by poisoning cached responses through unkeyed headers and parameters during authorized security tests.

navigation main article SKILL.md
schedule Updated 22 days ago
xalgord

performing-windows-artifact-analysis-with-eric-zimmerman-tools

by xalgord
star 618

Perform comprehensive Windows forensic artifact analysis using Eric Zimmerman's open-source EZ Tools suite including KAPE, MFTECmd, PECmd, LECmd, JLECmd, and Timeline Explorer for parsing registry hives, prefetch files, event logs, and file system metadata.

navigation main article SKILL.md
schedule Updated 22 days ago
xalgord

analyzing-outlook-pst-for-email-forensics

by xalgord
star 618

Analyze Microsoft Outlook PST and OST files for email forensic evidence including message content, headers, attachments, deleted items, and metadata using libpff, pst-utils, and forensic email analysis tools for legal investigations and incident response.

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schedule Updated 22 days ago
xalgord

implementing-hashicorp-vault-dynamic-secrets

by xalgord
star 618

Implements HashiCorp Vault dynamic secrets engines for database credentials, AWS IAM keys, and PKI certificates with automatic generation, lease management, and credential rotation to eliminate static secrets in application configurations. Activates for requests involving Vault secrets engine configuration, dynamic database credentials, ephemeral cloud credentials, or automated secret rotation.

navigation main article SKILL.md
schedule Updated 22 days ago
xalgord

implementing-zero-trust-with-hashicorp-boundary

by xalgord
star 618

Implement HashiCorp Boundary for identity-aware zero trust infrastructure access management with dynamic credential brokering, session recording, and Vault integration.

navigation main article SKILL.md
schedule Updated 22 days ago
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Browse Agent Skills by Occupation

23 major groups · 867 SOC occupations

Browse by Category

Explore agent skills organized by their primary use case

SKILLMD / CREATORS AND OCCUPATION CATEGORIES

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.

SEO KNOWLEDGE HUB & TECHNICAL OVERVIEW

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.

8 QUESTIONS

Frequently Asked Questions

A practical guide to agent skills: what they are, how to inspect them, and how SkillMD helps you explore the ecosystem.