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Agent Skills

Agent-Skills.md is a agent skills marketplace, to find the right agent skills for you.

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u

World U Skill

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tuistory

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move-smart-contract-audit

Comprehensive Move/Aptos smart contract security audit pipeline

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multidispatch-rl

Multiple dispatch as explicit RL objective - learning optimal method selection across type combinations

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mutual-information-oracle

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n

World N Skill

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nashator

Open games DSL → Nash equilibrium solver via PyTorch autodiff. Compositional game theory as OpenClaw tools.

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natural-transformation

Natural transformations: morphisms of functors.

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nblm-flashcards

Generate and drill flashcards from NotebookLM Enterprise notebooks via Gemini (Vertex AI), with Emacs UI and babashka backfill pipeline

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nbt

Use the nbt! macro from mc_protocol for creating NBT (Named Binary Tag) data for Minecraft protocol encoding.

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tui-application-playbook

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truealife

Comprehensive index of Artificial Life repositories across history, with special focus on 2024-2025 breakthroughs. ASAL, Flow-Lenia, CAX, ALIEN, JaxLife, and 256+ GitHub repos.

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tritwies-trace

Trace of Tritwies GitHub org activities - Omega, DisCoPy, Wasm SpecTec, and MCP SDK integration

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triangle-sparsifier

Triangle inequality for maximally correct world choice sparsification

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treatment-plans

Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, and pain management. Includes SMART goal frameworks, evidence-based interventions with minimal text citations, regulatory compliance (HIPAA), and professional formatting. Prioritizes brevity and clinical actionability.

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transformers

This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.

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transcribe

Transcribe audio files to text with optional diarization and known-speaker hints. Use when a user asks to transcribe speech from audio/video, extract text from recordings, or label speakers in interviews or meetings.

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transcendental-keyboard

Unified keyboard control surface for transcendental syntax proof environments (Stellogen, Proof General, Narya, Lean) with Gay.jl color feedback

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torchdrug

Graph-based drug discovery toolkit. Molecular property prediction (ADMET), protein modeling, knowledge graph reasoning, molecular generation, retrosynthesis, GNNs (GIN, GAT, SchNet), 40+ datasets, for PyTorch-based ML on molecules, proteins, and biomedical graphs.

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topos-logic

Topoi: cartesian closed + subobject classifier.

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topomodelx-hodge

Hodge Laplacian neural networks for simplicial/cell/hypergraph complexes.

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topological-dataloader

'Batched heterogeneous topological complex dataloaders for TopoModelX.

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tidar

Triadic Interleaving Dispatch with Agents for Reading/writing. Pre-hooks

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threat-model-generation

Generate a STRIDE-based security threat model for a repository. Use when setting up security monitoring, after architecture changes, or for security audits.

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theorem-prover-orchestration

Unified theorem prover ecosystem dispatcher - routes proofs across Dafny, Lean4, Coq, Agda, F*, Idris, Stellogen

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the-fool

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test-skill

use this when asked to test skill

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terrateam-usage-guide

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Stakpak <team@stakpak.dev>
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terminal-css

Provides Textual TCSS patterns for terminal widgets and ACP content styling. Use when building terminal UIs with color-first design, styling Agent Client Protocol output, or integrating Dracula-themed terminal rendering.

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telecom-security

Assess telecommunications infrastructure security including VoIP/SIP, SS7/Diameter, cellular networks, SMS-based authentication, and telephony-integrated applications. Identifies vulnerabilities in phone-based verification, call routing, and telecom protocol implementations. Use when auditing SMS 2FA, VoIP systems, IVR applications, or any telephony-dependent security controls.

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t

World T Skill

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syrup

Syrup binary serialization for OCapN/CapTP wire format. Canonical encoding for capability messages.

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sympy

Use this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation tasks including solving equations algebraically, performing calculus operations (derivatives, integrals, limits), manipulating algebraic expressions, working with matrices symbolically, physics calculations, number theory problems, geometry computations, and generating executable code from mathematical expressions. Apply this skill when the user needs exact symbolic results rather than numerical approximations, or when working with mathematical formulas that contain variables and parameters.

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swift-linux

Install and configure Swift programming language on Debian Linux for server-side development. Use when building Swift applications on Linux or setting up a Swift development environment.

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Swarm Orchestration

Orchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building distributed AI systems.

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swarm-bootstrap

Swarm Bootstrap

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statsmodels

Statistical modeling toolkit. OLS, GLM, logistic, ARIMA, time series, hypothesis tests, diagnostics, AIC/BIC, for rigorous statistical inference and econometric analysis.

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netlify-deploy

Deploy web projects to Netlify using the Netlify CLI (`npx netlify`). Use when the user asks to deploy, host, publish, or link a site/repo on Netlify, including preview and production deploys.

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network-forensics

Analyze network traffic captures for security incidents, protocol anomalies, and data exfiltration. Uses tcpdump, tshark/Wireshark, Zeek, and ngrep for packet-level forensics in authorized testing environments.

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networkx

Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological networks, transportation systems, citation networks, and any domain involving pairwise relationships.

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neurofeedback-oracle

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swarm-advanced

Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows

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sveltekit-structure

SvelteKit structure guidance. Use for routing, layouts, error handling, SSR, or svelte:boundary. Covers file naming, nested layouts, error boundaries, pending UI, and hydration.

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sveltekit-data-flow

SvelteKit data flow guidance. Use for load functions, form actions, server/client data, and invalidation. Covers +page.server.ts vs +page.ts, serialization, fail(), redirect(), error(), invalidateAll().

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svelte-template-directives

Svelte template directives ({@attach}, {@html}, {@render}, {@const}, {@debug}). Use for DOM manipulation, third-party libs, tooltips, canvas, dynamic HTML. @attach replaces use: actions.

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svelte-runes

Svelte runes guidance. Use for reactive state, props, effects, or migration. Covers $state, $derived, $effect, $props, $bindable. Prevents reactivity mistakes.

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svelte-deployment

Svelte deployment guidance. Use for adapters, Vite config, pnpm setup, library authoring, PWA, or production builds.

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svelte-components

Svelte component patterns. Use for web components, component libraries (Bits UI, Ark UI, Melt UI), form patterns, or third-party integration.

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superelastic-quotient

Superelastic skills with maximum quotienting resolution for spatial decomposition. Combines ordered locales, structured decompositions, and sheaf-theoretic gluing for finest-grained equivalence classes with spatial coherence.

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structured-decompositions-jl

Use when users ask about StructuredDecompositions.jl, structured decompositions,

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Page 824 of 1486 · 74266 results

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.