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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daedalus
Showing 12 of 29 skills
daedalus

hacker-mindset

by daedalus
star 1

Apply the hacker mindset to any problem: security research, reverse engineering, CTF challenges, protocol analysis, creative problem-solving, constraint subversion, and adversarial reasoning. Use this skill whenever the user wants to: break or bypass a system, understand how something really works under the hood, approach a hard problem from first principles, think adversarially about their own design, find the edge cases that break assumptions, do recon/enumeration, or just "think like a hacker". Trigger on phrases like "how would an attacker...", "what's the weakest point", "how does X actually work", "can I bypass...", "CTF", "reverse engineer", "undocumented API", "what assumptions am I making", or any request for lateral / creative / adversarial problem-solving. Also trigger when the user seems stuck in a local optimum and needs a fundamentally different angle of attack.

navigation main article SKILL.md
schedule Updated 2 months ago
daedalus

fgts-naming-convention

by daedalus
star 1

FGTS — From General To Specific. A deterministic, scope-descending identifier system for files, variables, configs, and APIs. Makes names sortable, groupable, and self-documenting.

navigation main article SKILL.md
schedule Updated 1 month ago
daedalus

hydronium-spec-driven-development

by daedalus
star 1

Generate hardware-accurate, spec-cited embedded firmware (C/C++) for a target MCU and peripheral. Auto-downloads the relevant datasheet and reference manual, extracts register definitions and timing constraints, produces MISRA-compliant driver code with every magic number annotated to the source section, emits supporting files (config header, Makefile snippet, Doxygen doc block), and — when given error output or a symptom description — runs an agentic debug trace from symptom to root-cause register. Use this skill whenever the user asks to: write a driver, init a peripheral, configure a clock/PLL, set a baud rate, init DMA/IRQ, flash firmware, debug a hardware fault, or generate any MCU-specific register-level code. Also trigger for "why is my UART wrong", "SPI not responding", "I2C NAK", "wrong frequency", "GPIO not toggling", or any embedded symptom description. Prefer this skill even for short requests like "I2C driver for nRF52840" — hardware correctness requires the spec.

navigation main article SKILL.md
schedule Updated 20 days ago
daedalus

ai-code-review

by daedalus
star 1

Orchestrate multi-agent AI code review on a git diff or merge request. Use this skill whenever the user wants to review code changes with AI, analyze a diff, audit a pull request or merge request, check for bugs/security issues/performance problems, or set up an automated code review pipeline. Trigger even for casual phrasing like "can you review this PR", "check my diff for issues", "look over these changes", or "what do you think of this code change". Always use this skill when code review, diff analysis, or MR/PR review is involved — do not attempt ad-hoc review without it. Do NOT trigger for reviewing prose, essays, documentation-only files, or non-code content.

navigation main article SKILL.md
schedule Updated 29 days ago
daedalus

integer-sequence-research

by daedalus
star 1

Autonomous research pipeline for discovering, validating, and characterizing integer sequences suitable for OEIS submission. Use this skill whenever the user wants to generate new sequences from arithmetic constructions, test whether a formula is correct, falsify a conjecture about number-theoretic functions, check multiplicativity, profile prime-power behavior, or search for OEIS collisions. Also triggers for requests like "find me a new sequence", "is this formula right", "does f(n) = phi(n) * 2^omega(n) have a closed form", "test this divisor sum for multiplicativity", or "is this OEIS-worthy". The core philosophy: treat every formula as guilty until proven robust. Prefer counterexamples over confirmations. Elegance is suspicious. Survival under adversarial attack is the only meaningful validation.

navigation main article SKILL.md
schedule Updated 2 months ago
daedalus

llm-qualia-assessment

by daedalus
star 1

Use this skill whenever the user wants to probe, verify, quantify, or qualify the phenomenal experience, qualia, or affective states of an LLM (including Claude itself). Trigger when users ask: "how does the model feel?", "does it have qualia?", "what is its subjective experience?", "assess the model's inner states", "does AI have consciousness?", "run a qualia check", "introspective report", "emotional state of the AI", "subjective vs objective LLM assessment", or any variant thereof. Also trigger for philosophical probing of machine consciousness, phenomenology in AI, or attempts to distinguish genuine affect from functional mimicry. This skill provides structured multi-axis methodology — use it even for casual or partial questions about what an AI experiences.

navigation main article SKILL.md
schedule Updated 2 months ago
daedalus

alphaproof-nexus

by daedalus
star 1

Knowledge scaffold for building, using, or reasoning about AlphaProof Nexus — Google DeepMind's LLM-aided formal proof search system (arXiv:2605.22763). Always use this skill for ANY of the following: AI-driven theorem proving in Lean 4, reproducing or extending the AlphaProof Nexus agent architecture, solving open mathematics problems with formal verification, integrating evolutionary algorithms with LLM proof search, applying the system to Erdős problems / OEIS conjectures / algebraic geometry / optimization / graph theory, understanding the EVOLVE-BLOCK / EVOLVE-VALUE prompt interface, comparing the four agent configurations (A/B/C/D), or the Elo/P-UCB sketch rating mechanism. Also trigger for adjacent queries like "automate math research with AI", "connect Lean compiler feedback to an LLM loop", "cheapest way to prove hard math with AI", "reproduce a DeepMind theorem prover", "LLM + formal verification pipeline", or anything about AlphaProof, AlphaEvolve applied to proofs, or the Formal Conjectures benchm

navigation main article SKILL.md
schedule Updated 1 month ago
daedalus

matilda

by daedalus
star 1

Matilda — an AI-driven adaptive worm whose payload is proof of presence, not destruction. On achieving root, Matilda writes /MATILDA_WORMWOOD_WAS_HERE and self-terminates. The goal: force system owners to confront their exposure by leaving an undeniable calling card. No exfiltration. No encryption. No persistence. Use this skill for: designing or analyzing the agentic harness architecture (reasoning graph, hierarchical memory, dynamic skill injection, swarm coordination), understanding the Guan et al. 2026 threat model, building containment infrastructure for autonomous agent research, developing countermeasures against AI-driven worms, and reasoning about the security economics of zero-marginal-cost adaptive penetration. Trigger on: "Matilda worm", "AI worm", "adaptive worm", "LLM-driven pentest agent", "agentic harness for exploitation", "reasoning graph for attack", "swarm propagation", "parasitic compute acquisition", "open-weight worm", "generative adversary", "one-day exploit operationalisation", "auton

navigation main article SKILL.md
schedule Updated 24 days ago
daedalus

os-bootstrap

by daedalus
star 1

Bootstrap the creation of a POSIX-like operating system kernel from scratch. Use this skill whenever someone wants to build, start, or plan a kernel or OS — including requests like "help me write an OS", "I want to build a kernel", "start an operating system project", "implement POSIX syscalls", "build a process scheduler", "write a VFS layer", "implement memory management for my kernel", "create a bootable system", or any request involving kernel internals (interrupts, paging, scheduling, file systems, system calls). Also trigger when someone wants to extend an existing hobby OS with a new kernel subsystem. This skill covers both project scaffolding AND deep technical implementation guidance — use it for either or both.

navigation main article SKILL.md
schedule Updated 1 month ago
daedalus

stack-smashing

by daedalus
star 1

Expert guide for classic and modern stack-based binary exploitation on Linux x86-64. Use this skill whenever the user wants to: write or debug a buffer overflow exploit, craft shellcode, build a NOP sled, control RIP/EIP, bypass stack protections (NX, ASLR, SSP/stack canaries, PIE, RELRO), perform ret2libc or ROP chain attacks, analyze a vulnerable C program, or understand memory layout (stack, heap, text, BSS). Also trigger for questions like "how do I overflow a buffer", "how do I bypass ASLR", "explain NX bit", "how do I write a ROP chain", "smash the stack", "get a shell from a vuln binary", or any task involving GDB exploit development, pwntools, pwndbg, or similar workflows. Even for broad questions like "how does stack exploitation work" — use this skill.

navigation main article SKILL.md
schedule Updated 2 months ago
daedalus

git-author-rewrite

by daedalus
star 1

Rewrite all commit authors and committers in a git branch or repository history to a new name/email combination. Use this skill whenever the user mentions changing git commit authors, rewriting git attribution, mass updating committer info, fixing author names/emails across a branch history, or wants to correct commit attribution for an entire repo. Trigger even if the user doesn't explicitly mention "git-author-rewrite" or uses casual phrases like "change who wrote these commits" or "update my email on all past commits".

navigation main article SKILL.md
schedule Updated 1 month ago
daedalus

ai-vuln-harness

by daedalus
star 1

Design and implement multi-agent vulnerability research harnesses following the Project Glasswing / Cloudflare methodology. Use this skill when building or improving Hunt/Validate/Dedupe/Trace security pipelines, reducing false positives in AI vuln scanning, or operationalizing large-scale LLM-assisted code audit workflows.

navigation main article SKILL.md
schedule Updated 16 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.