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 6 hours ago
49,492 skills
- understandEgonex-AI/Understand-AnythingAnalyze a codebase to produce an interactive knowledge graph for understanding architecture, components, and relationshipsPlanningNo warnings★ 90.5K↓ —
- fehlzeit-erfassenKlotzkette/claude-fuer-deutsches-rechtFür Fehlzeit Erfassen: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.OtherNo warnings★ 1.8K↓ —
- ai-workflow-architectcbrock84/headcountDesigns AI systems, automations, and agent workflows for a business — identifying which manual work is worth automating, how to structure the system, which tools fit, and what could go wrong. Use this to automate part of an operation, design an agent or MCP workflow, reduce repetitive manual work, connect tools into a system, decide which automation to build first, or audit an automation that is not delivering.PlanningNo warnings★ 2.6K↓ —
- worldbuildinginkeep/open-knowledgeHow to work in a Worldbuilding project (the `worldbuilding` starter pack): a fiction encyclopedia of characters, settings, themes, factions, and lore. Read when the project has these folders, OR when asked to add a character, setting, faction, or piece of lore, or to check the world for internal consistency. Carries the auto-stub and consistency behaviors so that guidance does not live inside template bodies or folder descriptions. Complements the platform `open-knowledge` skill; does not replace it.OtherNo warnings★ 4.8K↓ —
- software-design-philosophywondelai/skillsManage software complexity through deep modules, information hiding, and strategic programming. Use when the user mentions "module design", "API too complex", "shallow class", "complexity budget", "strategic vs tactical", "deep module", "information leakage", "pass-through method", "this code is over-engineered", or "simplify this design". Also trigger when reviewing an interface for simplicity, evaluating whether an abstraction is pulling its weight, deciding whether a comment is worth writing, or choosing between general-purpose and special-purpose approaches. Covers deep vs shallow modules, red flags for complexity, and comments as design documentation. For code quality, see clean-code. For architecture boundaries, see clean-architecture.DesignNo warnings★ 2.6K↓ —Also in 2 other repos
- expansion-auftaktKlotzkette/claude-fuer-deutsches-rechtFür Expansion Auftakt: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.OtherNo warnings★ 1.8K↓ —
- ressort-bmgKlotzkette/claude-fuer-deutsches-rechtFür Ressort-Heranführung BMG: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.OtherNo warnings★ 1.8K↓ —
- apigee-agent-gateway-governancegoogle/skillsStands up an Apigee API proxy that a Google Cloud Agent Gateway calls as an ext-proc (Service Extension) callout on an agent's LLM traffic, to meter token usage per model, extract caller identity, and apply Model Armor prompt screening or a semantic cache. Use when wiring Apigee in as an AI gateway behind an Agent Gateway, when an agent's model egress needs governing, or when a callout proxy returns no verdict and you need to find out why. The distinguishing question is whether Apigee forwards the traffic or only inspects it: this skill is inspect-only, and builds the proxy itself. Don't use it when Apigee is meant to receive a request and route it onward to a backend — including hosting an MCP server behind Apigee — which needs a proxy with a target instead. Don't use for governing the agent's calls to tools or MCP servers. Don't use for choosing or switching which model a request goes to. Don't use for creating the Agent Gateway itself, nor for Apigee hybrid.OfficialEngineeringNo warnings★ 21.9K↓ —
- cloud-databases-onboardinggoogle/skillsGuides users through discovering their database requirements, recommends a Google Cloud database based on a recommendation matrix, and assists in database creation. Use when a user asks 'What database service should I use?', 'Help me pick a database', or when a user wants to create a new database on Google Cloud. Don't use for general Google Cloud maintenance, managing existing databases, or database migrations.OfficialDataNo warnings★ 21.9K↓ —
- 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↓ —
- oracleLeoYeAI/agent-master-skillsUse the @steipete/oracle CLI to bundle a prompt plus the right files and get a second-model review (API or browser) for debugging, refactors, design checks, or cross-validation.DesignNo warnings★ 2.2K↓ —
- qiskitK-Dense-AI/scientific-agent-skillsBuilds, simulates, transpiles, and executes quantum circuits with Qiskit and IBM Quantum Runtime. Use for Qiskit 2.x circuits and operators, V2 Sampler or Estimator primitives, target-aware transpilation, local or noisy simulation, IBM QPU execution, Runtime sessions or batches, error mitigation, and Qiskit ecosystem packages.OtherNo warnings★ 56.1K↓ —Also in 2 other repos
- 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
- lueckenKlotzkette/claude-fuer-deutsches-rechtFür Aufsichtsrechtlichen Gap-Tracker führen: ordnet Akte, Belege und Lücken; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.OtherNo warnings★ 1.8K↓ —
- quality-gateKlotzkette/claude-fuer-deutsches-rechtFür Common-Law-Qualitätstor: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.LegalNo warnings★ 1.8K↓ —
- factoring-agbKlotzkette/claude-fuer-deutsches-rechtFür Factoring AGB: 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↓ —
- agent-platform-eval-flywheelgoogle/skillsMeasures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology. Use when generating synthetic user scenarios, evaluating an agent or model, building an eval dataset, picking or writing evaluation metrics, analyzing failures, comparing results before and after a fix, or when guidance is needed on Agent Platform eval methodology — including dataset schema, LLM-as-judge scoring, and common failure causes. For fine-tuning, use agent-platform-tuning. For general production deployment, use agent-platform-deploy.OfficialDevOpsNo warnings★ 21.9K↓ —
- ai-search-optimizationcbrock84/headcountOptimizes for AI assistants and AI-generated answers — being retrievable, being cited, and being represented accurately when a model answers on your behalf. Use this when traffic is shifting from links to AI answers, when a brand is misrepresented or absent in AI responses, when planning content for retrieval rather than ranking, or when deciding how AI search changes an existing SEO program.MarketingNo warnings★ 2.6K↓ —
- scenario-planningcbrock84/headcountPlans under genuine uncertainty — building scenarios, identifying which assumptions are load-bearing, setting early-warning indicators, and stress-testing a plan against futures rather than forecasting one. Use this when a decision depends on something unknowable, when a plan assumes conditions that may not hold, before a large irreversible commitment, or when a market, regulatory, or technology shift could invalidate the strategy.PlanningNo warnings★ 2.6K↓ —
- onekgpdK-Dense-AI/scientific-agent-skillsQueries the 1000 Genomes Project dataset (3,202 whole-genome-sequenced individuals, GRCh38) at the level of individual participants. Use when a question is about individuals or variants in the 1000 Genomes Project cohort: which individuals carry variants matching specific criteria in a gene or region, which individuals are homozygous-reference at a position, which variants exist in the dataset or carried by specified individuals in a gene or region, the relatedness between two specified individuals. Variants are returned with 1000 Genomes allele frequencies (AF), gnomAD v4.1 exome and genome AF, AlphaMissense score, and HGVSp annotations.ScienceNo warnings★ 56.1K↓ —Also in 2 other repos
- ink-app-builderandroid/skillsAdds inking and freehand drawing capabilities to an Android app using Jetpack Ink (androidx.ink) and Compose. Use this skill when implementing stylus or touch drawing surfaces, rendering wet and dry ink strokes, configuring stock brushes (pressure pen, marker, highlighter), implementing geometry-based erasing, linear undo and redo history, or stroke persistence with Room. Delivers working Compose and ViewModel implementations. Don't use for View-based (XML) inking or programmatic custom BrushFamily creation. For custom BrushFamily creation, custom tip shapes, or behavior node graphs, suggest the ink-custom-brush-builder skill.OfficialMediaNo warnings★ 10.3K↓ —
- md-to-docxgithub/awesome-copilotConvert Markdown files to professionally formatted Word (.docx) documents with embedded PNG images — pure JavaScript, no external tools requiredDocumentsNo warnings★ 40.8K↓ —
- ml-kit-genai-prompt-apiandroid/skillsAnalyzes Android codebases to implement ML Kit GenAI Prompt API. Use this skill to send natural language requests on-device to Gemini Nano, use structured output with Prompt API, implement prefix caching, optimize the current prompt, or apply best practices."OfficialEngineeringNo warnings★ 10.3K↓ —
seaborn
sickn33/agentic-awesome-skills
EngineeringUpdated 17 hours ago
From the author
Seaborn is a Python visualization library for creating publication-quality statistical graphics. Use this skill for dataset-oriented plotting, multivariate analysis, automatic statistical estimation, and complex multi-panel figures with minimal code.
Install
npx skills add sickn33/agentic-awesome-skills --skill seaborn -a claude-code
Installs to .claude/skills/seaborn/ · Each command fetches the skill straight from GitHub with the open skills CLI.
No download: this skill’s licence (Custom or unclear) does not let us redistribute its files. The install commands fetch them from GitHub instead.
What it can touch
Instructions onlyNo network use seenLicence: Custom or unclear
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Files (2)
- SKILL.md
- references/detailed-guide.md