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Agent Skills

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stellar-resolution

stellar-resolution skill

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stellogen-proof-search

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

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stochastic-resonance

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

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stream-chain

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

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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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string-diagram-rewriting-protocol

Kernel protocol for compositional string diagram rewriting across all skills

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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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165

structured-decompositions-jl

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

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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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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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svelte-deployment

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

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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-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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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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k3s-backup

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Stakpak <team@stakpak.dev>
Stakpak <team@stakpak.dev>
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kan-extension

Left/Right Kan extensions. Lan ⊣ Res ⊣ Ran.

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jupyter-notebook

Use when the user asks to create, scaffold, or edit Jupyter notebooks (`.ipynb`) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script `new_notebook.py` to generate a clean starting notebook.

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karpathy-guidelines

Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.

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kegg-database

Direct REST API access to KEGG (academic use only). Pathway analysis, gene-pathway mapping, metabolic pathways, drug interactions, ID conversion. For Python workflows with multiple databases, prefer bioservices. Use this for direct HTTP/REST work or KEGG-specific control.

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killdispenser

The fundamental piehole in every device. Like kill(1) sends signals to processes, killdispenser sends signals to dispensing slots. Like Pi-hole blocks DNS, killdispenser blocks unauthorized dispense events. The control plane primitive for all nhero devices.

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kimi-cli-help

Answer Kimi Code CLI usage, configuration, and troubleshooting questions. Use when user asks about Kimi Code CLI installation, setup, configuration, slash commands, keyboard shortcuts, MCP integration, providers, environment variables, how something works internally, or any questions about Kimi Code CLI itself.

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koho-sheafnn

Rust sheaf neural networks on k-cells. Candle-based diffusion over cellular

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kpz-universality

KPZ universality class: KPZ fixed point, directed landscape, random interface growth scaling limits. Universal fluctuations for TASEP, PNG, LPP, and polymer models.

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kubernetes

Set up and manage local Kubernetes clusters using KIND (Kubernetes IN Docker). Use when testing Kubernetes applications locally or developing cloud-native workloads.

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l

World L Skill

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labarchive-integration

Electronic lab notebook API integration. Access notebooks, manage entries/attachments, backup notebooks, integrate with Protocols.io/Jupyter/REDCap, for programmatic ELN workflows.

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lamindb

This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.

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last-passage-percolation

Last Passage Percolation models: geometric LPP, exponential weights, Tracy-Widom limits, matrix product ansatz, and connections to TASEP and random matrices.

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jupyter

Read, modify, execute, and convert Jupyter notebooks programmatically. Use when working with .ipynb files for data science workflows, including editing cells, clearing outputs, or converting to other formats.

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k

World K Skill

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dafny-formal-verification

Formally verified SPI colors, Galois connections, and p-adic number theory in Dafny

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dafny-zig

Dafny-to-Zig compiler backend development skill with verified runtime safety ("Zig-syrup")

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dask

Parallel/distributed computing. Scale pandas/NumPy beyond memory, parallel DataFrames/Arrays, multi-file processing, task graphs, for larger-than-RAM datasets and parallel workflows.

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datacommons-client

Work with Data Commons, a platform providing programmatic access to public statistical data from global sources. Use this skill when working with demographic data, economic indicators, health statistics, environmental data, or any public datasets available through Data Commons. Applicable for querying population statistics, GDP figures, unemployment rates, disease prevalence, geographic entity resolution, and exploring relationships between statistical entities.

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datadog

Query and analyze Datadog logs, metrics, APM traces, and monitors using the Datadog API. Use when debugging production issues, monitoring application performance, or investigating alerts.

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datamol

Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery: SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, parallel processing. Returns native rdkit.Chem.Mol objects. For advanced control or custom parameters, use rdkit directly.

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db7de8

Gay MCP skill at invocation 6

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dcc346

Gay MCP skill at invocation 22

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dcc83b

Auto-grown skill at knight tour position 3

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dd3c3c

'Worldmat TiDAR: 3×3×3 matrix of diffusion draft + AR verify executions

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debug-buttercup

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deep-debug

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deepchem

Molecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pretrained models, featurization, for drug discovery ML.

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deeptools

NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.

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denario

Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.

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derham-cohomology

Differential forms on signal manifolds with exterior algebra, Hodge star, and de Rham complex

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derived-categories

Homological algebra via chain complexes, derived functors (Tor/Ext), triangulated categories, and spectral sequences

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deutsch-koordinator

Koordinator für Deutsch-Englisch Übersetzung mit GF(3) Routing

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devcontainer-setup

Creates devcontainers with Claude Code, language-specific tooling (Python/Node/Rust/Go), and persistent volumes. Use when adding devcontainer support to a project, setting up isolated development environments, or configuring sandboxed Claude Code workspaces.

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develop-web-game

Use when Codex is building or iterating on a web game (HTML/JS) and needs a reliable development + testing loop: implement small changes, run a Playwright-based test script with short input bursts and intentional pauses, inspect screenshots/text, and review console errors with render_game_to_text.

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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.