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Agent Skills

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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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template-skill

Replace with description of the skill and when Claude should use it.

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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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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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165

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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165

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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stripe-best-practices

Best practices for building Stripe integrations. Use when implementing payment processing, checkout flows, subscriptions, webhooks, Connect platforms, or any Stripe API integration.

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string-diagram-rewriting-protocol

Kernel protocol for compositional string diagram rewriting across all skills

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string-database

Query STRING API for protein-protein interactions (59M proteins, 20B interactions). Network analysis, GO/KEGG enrichment, interaction discovery, 5000+ species, for systems biology.

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stream-chain

Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows

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stochastic-resonance

Noise-enhanced signal detection via Kramers rates and optimal noise analysis

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stellogen-proof-search

Automated resolution-based proof search via stellar resolution and bidirectional unification

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stellar-resolution

stellar-resolution skill

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steamvr-tracking

SteamVR Tracking (Lighthouse/Base Stations) setup + specs. Use for playspace sizing, base station placement, compatibility, and troubleshooting across SteamVR-tracked headsets.

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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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statistical-analysis

Statistical analysis toolkit. Hypothesis tests (t-test, ANOVA, chi-square), regression, correlation, Bayesian stats, power analysis, assumption checks, APA reporting, for academic research.

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stahl-übersetzer

Steel→Stahl Übersetzungsvalidierung mit semantischer Erhaltung und Typ-Äquivalenz

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stahl-bersetzer

Steel-to-Stahl (mattwparas/steel Scheme) German translation validator with semantic preservation and type equivalence. Triggers: stahl, steel, scheme, german translation, semantic preservation.

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stable-baselines3

Use this skill for reinforcement learning tasks including training RL agents (PPO, SAC, DQN, TD3, DDPG, A2C, etc.), creating custom Gym environments, implementing callbacks for monitoring and control, using vectorized environments for parallel training, and integrating with deep RL workflows. This skill should be used when users request RL algorithm implementation, agent training, environment design, or RL experimentation.

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ssh

Establish and manage SSH connections to remote machines, including key generation, configuration, and file transfers. Use when connecting to remote servers, executing remote commands, or transferring files via SCP.

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spreadsheet

Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified.

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max-kajiwara-oloog

Skill max-kajiwara-oloog

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mcp-fastpath

Direct FastMCP tool registration bypassing workflow wrappers. Addresses

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mcp-from-prompt

Generate a complete MCP server + skill from an API description, following the ExoPriors Scry prompt pattern. Use when building a new MCP server for any REST API or data source.

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mcp-inspector

Test Model Context Protocol (MCP) servers using the MCP Inspector CLI with correct syntax

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MCP Integration

This skill should be used when the user asks to "add MCP server", "integrate MCP", "configure MCP in plugin", "use .mcp.json", "set up Model Context Protocol", "connect external service", mentions "${CLAUDE_PLUGIN_ROOT} with MCP", or discusses MCP server types (SSE, stdio, HTTP, WebSocket). Provides comprehensive guidance for integrating Model Context Protocol servers into Claude Code plugins for external tool and service integration.

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mcp-orchestrator

'MCP agent orchestration patterns: planner/worker, swarm, evaluator-optimizer.

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medchem

Medicinal chemistry filters. Apply drug-likeness rules (Lipinski, Veber), PAINS filters, structural alerts, complexity metrics, for compound prioritization and library filtering.

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messaging-world

ACSet-structured messaging world with real social graph resources from Outlook, Gmail, and Beeper

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metabolomics-workbench-database

Access NIH Metabolomics Workbench via REST API (4,200+ studies). Query metabolites, RefMet nomenclature, MS/NMR data, m/z searches, study metadata, for metabolomics and biomarker discovery.

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miasm-symbolic

Miasm reverse engineering framework for symbolic execution, IR lifting, and binary analysis. Interoperates with blackhat-go via adversarial bisimulation games and GF(3) conservation.

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migrating-bitnami-to-bitnami-legacy

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Stakpak <team@stakpak.dev>
Stakpak <team@stakpak.dev>
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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.