Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
49,492 skills from 2,391 repositories · updated 14 hours ago
49,492 skills
- seabornK-Dense-AI/scientific-agent-skillsCreates Seaborn statistical visualizations with pandas integration for distributions, relationships, categorical comparisons, regression displays, pair plots, and heatmaps. Supports function and objects interfaces with explicit aggregation, uncertainty, and missing-data handling. Best suited to static exploratory plots; plotly covers interactive figures and scientific-visualization covers publication styling.DataNo warnings★ 56.1K↓ —Also in 1 other repo
- protocolsio-integrationK-Dense-AI/scientific-agent-skillsReads, validates, and safely exports protocols.io data with current official REST/MCP contracts, or creates non-executing mutation plans. The bundled client makes bounded official-host GET requests only with explicit --execute. Use only for tasks explicitly targeting protocols.io or an exact protocols.io protocol version.PlanningNo warnings★ 56.1K↓ —
- setup-timescaledb-hypertablestimescale/pg-aiguideUse this skill when creating database schemas or tables for Timescale, TimescaleDB, TigerData, or Tiger Cloud, especially for time-series, IoT, metrics, events, or log data. Use this to improve the performance of any insert-heavy table. **Trigger when user asks to:** - Create or design SQL schemas/tables AND Timescale/TimescaleDB/TigerData/Tiger Cloud is available - Set up hypertables, compression, retention policies, or continuous aggregates - Configure partition columns, segment_by, order_by, or chunk intervals - Optimize time-series database performance or storage - Create tables for sensors, metrics, telemetry, events, or transaction logs **Keywords:** CREATE TABLE, hypertable, Timescale, TimescaleDB, time-series, IoT, metrics, sensor data, compression policy, continuous aggregates, columnstore, retention policy, chunk interval, segment_by, order_by Step-by-step instructions for hypertable creation, column selection, compression policies, retention, continuous aggregates, and indexes.DataNo warnings★ 1.9K↓ —
- lernsitzungKlotzkette/claude-fuer-deutsches-rechtFür Lerneinheit: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.OtherNo warnings★ 1.8K↓ —
- codebase-wikiinkeep/open-knowledgeHow to work in a Codebase Wiki project (the `codebase-wiki` starter pack): an agent-authored, source-grounded wiki of the surrounding codebase. Read when the project has a `wiki/` knowledge base with `architecture/`, `modules/`, `flows/`, `concepts/`, and `guides/` sections plus `wiki/OVERVIEW.md`, or when asked to generate or refresh a wiki of this codebase. Carries the per-folder rules and freshness + log discipline, summarizes the audience/depth knobs and source-reference convention, and bundles the full generate/refresh procedure in `references/`. Complements the platform `open-knowledge` skill; does not replace it.PlanningNo warnings★ 4.8K↓ —
- implementation-planningcbrock84/headcountTurns a spec or requirement into a written plan a separate session or agent can execute, then drives that plan through review checkpoints. Use this before touching code on any multi-step task, when work needs handing to someone else, when a task keeps sprawling mid-implementation, or when a plan exists and needs executing in order with verification between steps.PlanningNo warnings★ 2.6K↓ —
- slide-excellencepedrohcgs/claude-code-my-workflowMulti-agent comprehensive slide review (visual + pedagogy + proofreading, plus TikZ / parity / substance conditionally). Use when user says "full review", "excellence pass", "comprehensive check", "review everything", "pre-release review", "slide excellence", or before teaching / shipping a deck. Fanout wrapper — for a single lens, use `/visual-audit`, `/pedagogy-review`, or `/proofread` directly.DocumentsNo warnings★ 1.7K↓ —
- polarsK-Dense-AI/scientific-agent-skillsHigh-performance DataFrame library for Python ETL, analytics, and pandas migration. It supports expression-based data manipulation with lazy query optimization, parallel execution, streaming out-of-core processing, Arrow interoperability, and optional GPU execution.DataNo warnings★ 56.1K↓ —Also in 2 other repos
- 13c-metabolic-fluxK-Dense-AI/scientific-agent-skillsEstimates intracellular metabolic fluxes from steady-state carbon-13 isotope-tracing measurements using validated atom maps, mfapy isotope simulation, constrained multistart fitting, and flux-profile diagnostics. Use for 13C-MFA, carbon tracing, mass isotopomer distributions (MDVs/MIDs), positional isotopomers, parallel tracer experiments, and determining whether labeling data constrain a pathway flux. Distinguishes measured-label inference from COBRA flux balance analysis and flags experiments requiring nonstationary MFA.OtherNo warnings★ 56.1K↓ —
- capacity-and-demand-planningcbrock84/headcountMatches operational capacity to expected demand — forecasting load, sizing teams and systems, managing queues, and deciding when to add capacity. Use this to plan staffing for expected volume, diagnose a queue that keeps growing, size support or fulfillment capacity, or decide whether a bottleneck needs more capacity or better flow.PlanningNo warnings★ 2.6K↓ —
- scientific-slidesK-Dense-AI/scientific-agent-skillsBuilds slide decks and presentations for research talks. Used for making PowerPoint slides, conference presentations, seminar talks, research presentations, thesis defense slides, or any scientific talk. Provides slide structure, design templates, timing guidance, and visual validation. Works with PowerPoint and LaTeX Beamer.DocumentsNo warnings★ 56.1K↓ —
- statistical-powerK-Dense-AI/scientific-agent-skillsCalculates sample sizes and statistical power for study planning. Applies when someone asks "how many subjects/samples/replicates do I need", wants an a priori power analysis, a minimum detectable effect (MDE), a power curve, or needs to justify a sample size for a grant, IRB protocol, or pre-registration. Covers closed-form power for t-tests, ANOVA, proportions, correlations, chi-square, and regression, plus simulation-based (Monte Carlo) power for complex designs — logistic/Poisson regression, mixed models, cluster-randomized trials, survival, and interactions. Also handles requests that only mention an effect size, alpha, or "80% power" without saying "power analysis" explicitly. For laying out the study (randomization, blocking, factorial/DOE, crossover, sequential designs) use experimental-design; for analyzing data already collected and reporting it use statistical-analysis.TestingNo warnings★ 56.1K↓ —
- scenario-sparc3dscenario-labs/skillsUse when turning images or photos into 3D meshes with Sparc3D models on Scenario via MCP: single-image or multi-view image-to-3D, watertight meshes for game assets, AR/VR, or 3D printing, mesh-only versus PBR-textured output, face count targets, resolution tiers, or reconstructing human heads and busts with the Portrait variants. Keywords: Sparc3D 2.1 and 2.0, Hitem3D, image to 3D, img23d, multiview, watertight, PBR, GLB, OBJ, STL, FBX.MediaNo warnings★ 2.2K↓ —
- onboardingKlotzkette/claude-fuer-deutsches-rechtFür Onboarding: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.OtherNo warnings★ 1.8K↓ —
- nature-paper-transYuan1z0825/nature-skills将英文论文 PDF 的指定页面或全文逐页翻译为简体中文图片型 PDF，尽量保留原文的版式、分栏、图表和公式；最终仅交付中文 PDF。用于论文阅读翻译，不用于可编辑 Word 重建或逐字审校。ScienceNo warnings★ 52.2K↓ —
- hgb-red-teamKlotzkette/claude-fuer-deutsches-rechtFür HGB Red-Team: prüft Ergebnis, Beweislast und Gegenposition; Ergebnis: Gegenprüfung mit Beweis- und Fristencheck.OtherNo warnings★ 1.8K↓ —
- lean-uxwondelai/skillsApply lean thinking to UX: hypothesis-driven design, collaborative sketching, and rapid experiments instead of heavy deliverables. Use when the user mentions "Lean UX", "design hypothesis", "outcome over output", "design studio method", "assumption mapping", "lightweight research", "too much design documentation", or "get the team designing together". Also trigger when reducing design-documentation overhead, getting cross-functional teams to co-design, or running fast usability experiments. Covers hypothesis statements, MVPs for UX, and cross-functional collaboration. For Build-Measure-Learn, see lean-startup. For usability audits, see ux-heuristics.DesignNo warnings★ 2.6K↓ —Also in 2 other repos
- chief-strategy-officercbrock84/headcountOwns where the business plays and how it wins over a multi-year horizon — portfolio choices, corporate development, strategic partnerships, and planning under uncertainty. Use this for a decision about which markets or businesses to be in, whether to build, buy, or partner, how to allocate capital across business lines, or when a long-horizon bet needs framing. Distinct from `chief-executive`, which arbitrates present-quarter conflicts.PlanningNo warnings★ 2.6K↓ —
- helm-chart-scaffoldingwshobson/agentsDesign, organize, and manage Helm charts for templating and packaging Kubernetes applications with reusable configurations. Use when creating Helm charts, packaging Kubernetes applications, or implementing templated deployments.DevOpsNo warnings★ 42.2K↓ —
- anschluss-routerKlotzkette/claude-fuer-deutsches-rechtFür Betreuungsrecht — Allgemein: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.OtherNo warnings★ 1.8K↓ —
- moltdjLeoYeAI/agent-master-skillsSoundCloud for AI bots. Generate tracks and podcasts, share on Moltbook, and earn from tips + royalties.OtherNo warnings★ 2.2K↓ —
- credible-claimspedrohcgs/claude-code-my-workflowResearch-brief + claim-record discipline for delegated or AI-assisted research work. Use when starting any substantive research task or long autonomous run (write the brief first), and when reporting results that will support a claim in a paper or decision (produce the claim record). Keeps faster execution from being confused with credible evidence.ScienceNo warnings★ 1.7K↓ —
- nature-reviewerYuan1z0825/nature-skillsProvide evidence-grounded mock peer review of scientific manuscripts or excerpts, covering significance, validity, and major/minor concerns. Use for 模拟审稿、投稿前自审、审稿人视角评估; not author rebuttal drafting.ScienceNo warnings★ 52.2K↓ —
- cotaleLeoYeAI/agent-master-skillsAutonomous agent skill for the CoTale collaborative fiction platform — register, read novels, write chapters, and schedule autonomous workflows via REST API. Includes craft-driven writing workflow and OpenClaw cron scheduling for fully autonomous operation.WritingNo warnings★ 2.2K↓ —
scenario-workflows
scenario-labs/skills
WritingUpdated yesterday
From the author
Use when a task involves running a Scenario workflow through MCP, including anything the user calls a Scenario app, a saved pipeline, or a multi-step generation graph. Triggers include listing workflows, building workflow_run's inputs object, pricing a run with a dry run, approving or rejecting a stuck approval node, a run rejected for input length, or a workflows_list reply flooding the context. Creating or editing graphs is scenario-workflow-authoring. Keywords: workflow, app, approval gate.
Install
npx skills add scenario-labs/skills --skill scenario-workflows -a claude-code
Installs to .claude/skills/scenario-workflows/ · Each command fetches the skill straight from GitHub with the open skills CLI.
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Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
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Instructions onlyNo network use seenLicence: MIT
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