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Agent Skills

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persistent-homology

Topological data analysis for stable feature verification across filtrations of code complexity.

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parallel-fanout

Metaskill that fans out on every interaction, using interaction entropy as SplitMixTernary seed for maximum synergistic parallelism

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operad-compose

Operad Composition Skill (PLUS +1)

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open-games

Open Games Skill (ERGODIC 0)

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moebius-inversion

Möbius inversion on posets and lattices: alternating sums, chromatic polynomials, incidence algebras, and centrality predicates.

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free-monad-gen

Free Monad Generation Skill (PLUS +1)

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forward-forward-learning

Hinton's Forward-Forward algorithm for local learning without backpropagation. Use for biologically plausible learning, on-chip training, memory-efficient networks, or parallel layer-wise training.

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directed-interval

Directed interval type 2 axiomatizing (0 → 1). Time-directed homotopy for reactions.

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dialectica

Dialectica Skill (ERGODIC 0)

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165

deepwiki-mcp

DeepWiki MCP server for AI-powered GitHub repository documentation and Q&A

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curiosity-driven

Schmidhuber's curiosity-driven learning: Intrinsic motivation via compression progress. Seek states that improve world model.

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cognitive-superposition

Cognitive superposition synthesizing Riehl (∞-categories), Sutskever (compression), Schmidhuber (curiosity-driven), and Bengio (GFlowNets) into unified ASI framework with quantum-inspired measurement collapse.

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localsend-mcp

LocalSend-based P2P transfer with MCP server design for NATS/Tailscale discovery and throughput tuning.

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kolmogorov-compression

Kolmogorov complexity as the ultimate intelligence measure. Shortest program that outputs data.

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kan-extensions

Kan Extensions Skill (ERGODIC 0)

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165

jaxlife-open-ended

JaxLife open-ended agentic simulator for emergent behavior, tool use, and cultural accumulation. Use for artificial life simulations, emergent agent behavior, and open-ended evolution research.

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ihara-zeta

Ihara zeta function for graphs: non-backtracking walks, prime cycles, and spectral analysis via det(I - uB).

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godel-machine

Schmidhuber's Gödel Machine: Self-improving systems that prove their own improvements. Darwin Gödel Machine (DGM) combines evolution with formal verification.

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gflownet

Bengio's GFlowNets: Generative Flow Networks that sample proportionally to reward. Diversity over maximization for causal discovery and molecule design.

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analyzing-linux-audit-logs-for-intrusion

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boneh-roughgarden-wev

Boneh-Roughgarden WEV Skill

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type-inference-validation

Static type inference and validation for navigation paths

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structured-decomp

StructuredDecompositions.jl: Sheaves on tree decompositions for FPT algorithms

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specter-navigator-gadget

Unified Specter/Navigator/3-MATCH architecture with bidirectional path compilation

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skill-creator

Guide for creating effective skills. Use when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

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pulse-mcp-stream

Layer 1 Real-Time Social Stream Monitoring via MCP with DuckDB persistence

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polyglot-spi

Cross-Language Strong Parallelism Invariance Verification for 15+ languages

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oapply-colimit

oapply: Operad algebra evaluation via colimits. Composes machines/resource sharers.

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möbius-path-filtering

Non-orientable topological filtering that eliminates self-revisiting paths

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mcp-builder

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

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llm-application-dev

Building applications with Large Language Models - prompt engineering, RAG patterns, and LLM integration. Use for AI-powered features, chatbots, or LLM-based automation.

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lispsyntax-acset

LispSyntax.jl ↔ ACSets.jl bidirectional bridge with OCaml ppx_sexp_conv-style deriving

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analyzing-ios-app-security-with-objection

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analyzing-indicators-of-compromise

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analyzing-heap-spray-exploitation

Detect and analyze heap spray attacks in memory dumps using Volatility3 plugins to identify NOP sled patterns, shellcode landing zones, and suspicious large allocations in process virtual address space.

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analyzing-golang-malware-with-ghidra

Reverse engineer Go-compiled malware using Ghidra with specialized scripts for function recovery, string extraction, and type reconstruction in stripped Go binaries.

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analyzing-ethereum-smart-contract-vulnerabilities

Perform static and symbolic analysis of Solidity smart contracts using Slither and Mythril to detect reentrancy, integer overflow, access control, and other vulnerability classes before deployment to Ethereum mainnet.

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analyzing-email-headers-for-phishing-investigation

Parse and analyze email headers to trace the origin of phishing emails, verify sender authenticity, and identify spoofing through SPF, DKIM, and DMARC validation.

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analyzing-docker-container-forensics

Investigate compromised Docker containers by analyzing images, layers, volumes, logs, and runtime artifacts to identify malicious activity and evidence.

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analyzing-dns-logs-for-exfiltration

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analyzing-disk-image-with-autopsy

Perform comprehensive forensic analysis of disk images using Autopsy to recover files, examine artifacts, and build investigation timelines.

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analyzing-cyber-kill-chain

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analyzing-command-and-control-communication

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analyzing-cobaltstrike-malleable-c2-profiles

Parse and analyze Cobalt Strike Malleable C2 profiles using dissect.cobaltstrike and pyMalleableC2 to extract C2 indicators, detect evasion techniques, and generate network detection signatures.

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analyzing-cobalt-strike-beacon-configuration

Extract and analyze Cobalt Strike beacon configuration from PE files and memory dumps to identify C2 infrastructure, malleable profiles, and operator tradecraft.

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analyzing-cloud-storage-access-patterns

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analyzing-certificate-transparency-for-phishing

Monitor Certificate Transparency logs using crt.sh and Certstream to detect phishing domains, lookalike certificates, and unauthorized certificate issuance targeting your organization.

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analyzing-campaign-attribution-evidence

Campaign attribution analysis involves systematically evaluating evidence to determine which threat actor or group is responsible for a cyber operation. This skill covers collecting and weighting attr

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analyzing-browser-forensics-with-hindsight

Analyze Chromium-based browser artifacts using Hindsight to extract browsing history, downloads, cookies, cached content, autofill data, saved passwords, and browser extensions from Chrome, Edge, Brave, and Opera for forensic investigation.

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analyzing-bootkit-and-rootkit-samples

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Adoption

Agent Skills are supported by leading AI development tools.

FAQ

Frequently asked questions about Agent Skills.

01

What are Agent Skills?

Agent Skills are reusable, production-ready capability packs for AI agents. Each skill lives in its own folder and is described by a SKILL.md file with metadata and instructions.

02

What does this agent-skills.md site do?

Agent Skills is a curated directory that indexes skill repositories and lets you browse, preview, and download skills in a consistent format.

03

Where are skills stored in a repo?

By default, the site scans the skills/ folder. You can also submit a URL that points directly to a specific skills folder.

04

What is required inside SKILL.md?

SKILL.md must include YAML frontmatter with at least name and description. The body contains the actual guidance and steps for the agent.

05

How can I submit a repo?

Click Submit in the header and paste a GitHub URL that points to a skills folder. We’ll parse it and add any valid skills to the directory.