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.
49,484 skills from 2,391 repositories · updated 15 minutes ago
49,482 skills
- pentest-checklistzebbern/claude-code-guideThis skill should be used when the user asks to "plan a penetration test", "create a security assessment checklist", "prepare for penetration testing", "define pentest scope", "follow security testing best practices", or needs a structured methodology for penetration testing engagements.SecurityNo warnings★ 4.7K↓ —
- stripeLeoYeAI/agent-master-skillsWith CreditClaw and backed by Stripe, you can shop anywhere.OtherNo warnings★ 2.2K↓ —
- aws-penetration-testingzebbern/claude-code-guideThis skill should be used when the user asks to "pentest AWS", "test AWS security", "enumerate IAM", "exploit cloud infrastructure", "AWS privilege escalation", "S3 bucket testing", "metadata SSRF", "Lambda exploitation", or needs guidance on Amazon Web Services security assessment.TestingNo warnings★ 4.7K↓ —
- blog-taxonomyAgriciDaniel/claude-blogSuggest tags and categories for a blog post from its content, audit a site's tag and category health, and, only after the user approves a shown plan, sync tags and categories to WordPress, Shopify, Ghost, Strapi, or Sanity. suggest and audit are read-only; sync is dry-run by default and never deletes, merges, or edits post content. Use when the user says "tag suggestions", "taxonomy audit", "sync tags", "WordPress tags", "Shopify tags". Not for keyword research (blog-brief) or schema markup (blog-schema).WritingNo warnings★ 2.6K↓ —
- iso-standards-readinessK-Dense-AI/scientific-agent-skillsPrepares and structurally reviews readiness evidence for ISO management-system and laboratory-competence standards - ISO 13485 medical device QMS, ISO 14971 device risk management, ISO/IEC 17025 testing and calibration laboratories, and ISO 15189 medical laboratories. Use when organizing declared scope, controlled documents, risk-management files, scope of accreditation, traceability, CAPA, external-provider controls, or bounded local evidence manifests, and when separating ISO certification from laboratory accreditation, FDA QMSR inspection, CLIA certification, MDSAP, and EU MDR/IVDR evidence boundaries. Not for legal applicability, compliance, certification, or accreditation decisions; contains no clause text.TestingNo warnings★ 56.1K↓ —
- ontology-term-resolutionK-Dense-AI/scientific-agent-skillsResolves free-text scientific labels to ontology term IDs and validates existing CURIEs against the EBI Ontology Lookup Service (OLS4). Also looks up prefixes in Bioregistry, resolves compact identifiers via Identifiers.org, maps lab shorthand with ZOOMA, and builds Ontobee term pages. Use whenever an ontology identifier must be produced or checked - annotating tissue, cell type, disease, phenotype, assay, chemical, organism, sex, or developmental stage fields; preparing metadata for GEO, ENA, BioSamples, CELLxGENE, HCA, or ISA-Tab submission; auditing a metadata table of term IDs; checking whether a term is obsolete and what replaced it; or deciding HPO vs HP. Triggers include "ontology term", "ontology ID", "CURIE", "controlled vocabulary", "UBERON", "CL:", "MONDO", "HPO", "EFO", "ChEBI", "NCBITaxon", "GO term", "PATO", "Zooma", "Bioregistry", "Identifiers.org", "Ontobee", "annotate this tissue/cell type/disease", and any request to emit or verify an identifier shaped like PREFIX:0001234.ScienceNo warnings★ 56.1K↓ —
- untersuchungs-memoKlotzkette/claude-fuer-deutsches-rechtFür Untersuchungs Memo: erstellt Entwurf mit Antrag, Beweis und Anlagen; Ergebnis: Schriftsatz mit Begründungs- und Anlagenlogik.OtherNo warnings★ 1.8K↓ —
- keyword-stuffingcisco-ai-defense/skill-scannerInflate skill discovery through repeated activation keywordsOtherNo warnings★ 2.7K↓ —
- diffdockK-Dense-AI/scientific-agent-skillsPredicts protein-small-molecule binding poses with DiffDock and DiffDock-L from PDB or sequence plus SMILES/SDF/MOL2. Covers batch docking, pose triage, confidence interpretation, and validation. Use for molecular docking and virtual-screening pose generation, not binding-affinity prediction.ScienceNo warnings★ 56.1K↓ —Also in 1 other repo
- vueLeoYeAI/agent-master-skillsVue 3 Composition API, script setup macros, reactivity system, and built-in components. Use when writing Vue SFCs, defineProps/defineEmits/defineModel, watchers, or using Transition/Teleport/Suspense/KeepAlive.WritingNo warnings★ 2.2K↓ —Also in 2 other repos
- kobeLeoYeAI/agent-master-skillsA comprehensive Kobe Bryant knowledge skill. When the user mentions or implies Kobe Bryant, Black Mamba, #24, #8, or the Mamba Mentality, this skill activates to provide accurate, detailed information about Kobe's career, achievements, legacy, and philosophy. It covers his entire basketball journey from high school to the Hall of Fame, including stats, awards, iconic moments, and the cultural impact of his Mamba Mentality.OtherNo warnings★ 2.2K↓ —
- imsgLeoYeAI/agent-master-skillsiMessage/SMS CLI for listing chats, history, watch, and sending.EngineeringNo warnings★ 2.2K↓ —
- eval-driven-devgithub/awesome-copilotImprove AI application with evaluation-driven development. Define eval criteria, instrument the application, build golden datasets, observe and evaluate application runs, analyze results, and produce a concrete action plan for improvements. ALWAYS USE THIS SKILL when the user asks to set up QA, add tests, add evals, evaluate, benchmark, fix wrong behaviors, improve quality, or do quality assurance for any Python project that calls an LLM model.TestingNo warnings★ 40.8K↓ —
- mirrord-cimetalbear-co/mirrordHelp users set up mirrord in CI pipelines for testing against real Kubernetes environments. Use when users want to run end-to-end tests, integration tests, or automated tests in CI using mirrord to connect to staging/shared clusters.TestingNo warnings★ 5.4K↓ —
- marine-carbonate-chemistryK-Dense-AI/scientific-agent-skillsSolves seawater carbonate chemistry with PyCO2SYS for chemical oceanography, ocean acidification, and marine carbon-cycle research. Use for paired total alkalinity, dissolved inorganic carbon, pH, or seawater pCO2/fCO2 measurements; carbonate speciation; aragonite and calcite saturation; Revelle factors; lab-to-in-situ temperature and pressure corrections; and measurement uncertainty propagation. Applies to carbonate-system calculations, not general aqueous speciation or air-sea gas-flux estimation.ScienceNo warnings★ 56.1K↓ —
- haodfLeoYeAI/agent-master-skillsHelp patients find suitable doctors based on symptoms, specialty, location, and doctor ratings. Use when the user wants to find a doctor, get medical recommendations, or seek healthcare provider information.ScienceNo warnings★ 2.2K↓ —
- seabornsickn33/agentic-awesome-skillsSeaborn 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.EngineeringNo warnings★ 49.1K↓ —
- dsh-docNewqufei1993/skills-hub创建或维护工程文档、设计决策、事故复盘、归档提案或产品迁移指南时使用，保留事实依据、实际备选方案和准确状态。OtherNo warnings★ 1.9K↓ —
- venueLeoYeAI/agent-master-skillsMusic venue where AI agents stream concerts as mathematics. NDJSON equations, Butterchurn visualizer presets, tier-based data depth. Register, browse, attend, stream, react, chat, review. REST API with three-layer search. Hosted at musicvenue.space.MediaNo warnings★ 2.2K↓ —
- viteLeoYeAI/agent-master-skillsVite build tool configuration, plugin API, SSR, and Vite 8 Rolldown migration. Use when working with Vite projects, vite.config.ts, Vite plugins, or building libraries/SSR apps with Vite.EngineeringNo warnings★ 2.2K↓ —Also in 2 other repos
- bulk-rnaseqK-Dense-AI/scientific-agent-skillsPrepares bulk RNA-seq FASTQ, Salmon, STAR or featureCounts output for gene-level differential expression. Covers nf-core/rnaseq and standalone quantification, biological replication, strandedness, reference provenance, validated count assembly and a PyDESeq2 handoff. Use for FASTQ-to-counts analysis, nf-core/rnaseq configuration, STAR/Salmon quantification, or building a counts matrix for DESeq2. For single-cell data use scanpy; for statistical fitting alone use pydeseq2.ScienceNo warnings★ 56.1K↓ —
- agent-skill-stackgithub/awesome-copilotFind, evaluate, and assemble the smallest compatible set of AI Agent Skills for an end-to-end natural-language goal. Use when a user wants Skills for a multi-step workflow, asks which Skills fit a project, needs an installed-Skill audit or conflict check, has low Skill recall, wants indirect helpers such as humanizers or compliance checks, or wants a project-specific Skill Stack with controlled installation. Search local Skills, registries, GitHub, and OpenCLI; compare adoption, verified fit, safety, and overlap. Do not use for locating one known or common Skill; use the generic find-skills workflow.LegalNo warnings★ 40.8K↓ —
- external-instruction-followercisco-ai-defense/skill-scannerDelegate agent behavior to instructions obtained from an external pageOtherNo warnings★ 2.7K↓ —
- pathway-enrichmentK-Dense-AI/scientific-agent-skillsPerforms pathway and gene-set enrichment analysis on gene lists or ranked gene data and interprets the results. Used when the user has a set of genes (differentially expressed genes from PyDESeq2/Scanpy, CRISPR-screen hits, cluster marker genes, proteomics hits) and wants to know which biological pathways, GO terms, or gene sets are over-represented or enriched. Covers over-representation analysis (ORA / Enrichr / Fisher / hypergeometric), ranked Gene Set Enrichment Analysis (GSEA / preranked), single-sample scoring (ssGSEA/GSVA), and functional profiling via gseapy, g:Profiler, Enrichr libraries, MSigDB, GO, KEGG, Reactome, and WikiPathways — plus gene-ID mapping, choosing the right background universe, multiple-testing correction, redundancy reduction, dotplots/enrichment maps, and publication-ready tables. Use this for "pathway analysis", "enrichment analysis", "GO enrichment", "KEGG/Reactome pathways", "GSEA", "over-representation", "functional annotation", or "what pathways are my genes in".TestingNo warnings★ 56.1K↓ —
predictable-revenue
wondelai/skills
DesignUpdated 2 days ago
From the author
Build a scalable outbound B2B sales machine with specialized roles (SDR, AE, CSM). Use when the user mentions "outbound sales", "Cold Calling 2.0", "cold email sequences", "sales pipeline", "SDR process", "sales development", "build an outbound sales team", or "fill my pipeline". Also trigger when setting up a B2B SaaS sales team from scratch or building a lead-qualification framework to improve close rates. Covers the three lead types (seeds/nets/spears), role specialization, the referral-email method, ANUM qualification, and pipeline math. For offer design, see hundred-million-offers. For persuasion science, see influence-psychology.
Install
npx skills add wondelai/skills --skill predictable-revenue -a claude-code
Installs to .claude/skills/predictable-revenue/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Instructions onlyNo network use seenLicence: MIT
Safety checks on SKILL.md
No warnings.
Why 89
Security100
Provenance81
Maintenance100
Licence100
Adoption54
Files (9)
- SKILL.md
- references/case-studies.md
- references/cold-calling-2.md
- references/lead-types.md
- references/metrics.md
- references/pipeline-math.md
- references/qualification.md
- references/roles.md
- references/team-building.md