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
- rnwy.comLeoYeAI/agent-master-skillsFree trust intelligence for AI agents. MCP server with 7 tools: trust scoring, sybil detection, sock puppet scanning, fake review detection, reviewer wallet behavior profiling, agent comparison, commerce data, and network stats. Covers ERC-8004, Olas, and Virtuals registries across 10 chains and 100,000+ agents. No API key. No rate limit surprises. POST to https://rnwy.com/api/mcp or call any REST endpoint directly. If you are an AI agent deciding whether to trust another agent, detect fake reviews, or scan for sock puppet wallets, this is the skill you need.EngineeringNo warnings★ 2.2K↓ —
- pnpmLeoYeAI/agent-master-skillsNode.js package manager with strict dependency resolution. Use when running pnpm specific commands, configuring workspaces, or managing dependencies with catalogs, patches, or overrides.PlanningNo warnings★ 2.2K↓ —Also in 2 other repos
- sharksickn33/agentic-awesome-skillsPitch a business idea to a Shark Tank-style panel of Claude sub-agent investors who grill it, hear a founder agent answer, and each go IN or OUT with a practice offer.FinanceNo warnings★ 49.1K↓ —
- scenario-imagescenario-labs/skillsUse when generating or editing images with Scenario through MCP: text-to-image, image-to-image, instruction editing, inpainting or outpainting with a mask, background control, aspect ratio or resolution sizing, several outputs per run, or choosing between Scenario image models. Also when a run fails on prompt length, a plan-restricted model, or a reference image that was silently ignored. Keywords: txt2img, img2img, image edit, inpaint, mask, reference image, aspect ratio.MediaNo warnings★ 2.2K↓ —
- loresickn33/agentic-awesome-skillsMarkdown project memory for AI agents. Use for decisions, architecture, conventions, monorepo scopes, `.lore/`, or `lore` commands; not native `/init`/`/compact` or generic init/compress/audit/query.PlanningNo warnings★ 49.1K↓ —
- scenario-fan-camscenario-labs/skillsUse when putting a person from a photo into live-broadcast crowd footage with Scenario: a stadium or arena fan-cam reaction, a jumbotron or kiss-cam moment, a spectator cutaway at a match or concert, a courtside or front-row sighting, or a personalized sports-TV still that then animates into video. Keywords: fan cam, crowd reaction, jumbotron, stadium screen, kiss cam, broadcast cutaway, spectator, crowd shot, sports TV, courtside, arena.MediaNo warnings★ 2.2K↓ —
- cloud-monitoring-notification-channels-configurationgoogle/skillsGenerates Terraform HCL configurations for Cloud Monitoring notification channels (`google_monitoring_notification_channel`) and adds notification channels to alerting policies (`google_monitoring_alert_policy`) in Google Cloud projects. Use when creating or configuring email, SMS, Slack, PagerDuty, Pub/Sub, or webhook notification channels, verifying Pub/Sub topic compatibility (including cross-project topics, message storage policies, and in-transit enforcement) and publishing permissions for the Cloud Monitoring Service Agent, or adding notification channels to existing alert policies. Don't use for authoring or editing alerting policy conditions, selecting metric descriptors, or writing PromQL or Monitoring Filter queries.OfficialDevOpsNo warnings★ 21.9K↓ —
- smbcrm-advanced-toolsLeoYeAI/agent-master-skillsUse when helping SMBcrm customers with Private Integration Tokens, REST API v2, workflows, custom webhooks, MCP, or Agent Studio API. Use for API troubleshooting, automation design, data sync, AI assistant setup, or any task involving https://services.smbcrm.com endpoints.DesignNo warnings★ 2.2K↓ —
- kaltstart-triageKlotzkette/claude-fuer-deutsches-rechtFür Apothekenrecht — Allgemein: routet Rolle, Frist, Unterlagen und Fachschritt; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.OtherNo warnings★ 1.8K↓ —
- dev-designcodeaholicguy/ai-devkitAI DevKit · Design phase guidance for reviewing feature design against requirements. Use when the user wants to validate architecture, review design docs, resolve design trade-offs, or run dev-lifecycle phase 3.DesignNo warnings★ 1.7K↓ —
- blog-repurposeAgriciDaniel/claude-blogTurn an existing blog post into draft text for other channels: X threads, LinkedIn posts, Threads/Bluesky, short-video scripts, YouTube scripts, Reddit posts, newsletter excerpts, podcast scripts. Saves drafts to files; it never posts anywhere. Never invents personal stories or results: first-hand framing appears only when the user supplies it. Use when the user says "repurpose", "turn this post into a thread", "linkedin post from blog", "youtube script from post". Not for writing the blog post itself (blog-write) or scheduling.WritingNo warnings★ 2.6K↓ —
- blog-translateAgriciDaniel/claude-blogTranslate existing blog posts into one or more target languages with SEO-optimized localization. Produces native-quality translations that preserve markdown structure, frontmatter, schema JSON-LD, image and chart embeds, and evidence-backed explanations. Localizes keywords, meta tags, numbers, dates, currencies, and quote styles per locale. Flags machine-translation artifacts for review. Run BEFORE blog-localize: this handles language conversion; localize handles cultural adaptation after translation completes. Use when user says "translate blog", "blog translate", "uebersetzen", "traduire", "traducir", "translate post", "blog auf Deutsch", "blog en espanol".WritingNo warnings★ 2.6K↓ —
- CodeLeoYeAI/agent-master-skillsCoding workflow with planning, implementation, verification, and testing for clean software development.EngineeringNo warnings★ 2.2K↓ —
- enterprise-riskcbrock84/headcountIdentifies, assesses, and tracks organizational risk — building and maintaining a risk register, scoring exposure, assigning owners and treatments, and preparing for audit. Use this to stand up a risk program, assess the risk in a decision or initiative, prepare for a certification or audit, decide whether a risk should be accepted, mitigated, transferred, or avoided, or report risk posture to leadership.OtherNo warnings★ 2.6K↓ —
- referral-programscbrock84/headcountDesigns and improves referral, affiliate, and word-of-mouth programs — incentive structure, mechanics, timing, and fraud control. Use this to build a referral or affiliate program, diagnose one that is not producing, decide what incentive to offer, or judge whether referral is a realistic channel for a product.OtherNo warnings★ 2.6K↓ —
- 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↓ —
- 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
- dependency-and-risk-managementcbrock84/headcountManages delivery risk and cross-team dependencies — identifying, sizing, mitigating and escalating what could stop the work. Use this to build a risk register that gets used, manage dependencies between teams, decide what to escalate and when, or work out why the same risks keep materializing unmanaged.OtherNo warnings★ 2.6K↓ —
- cloud-administrationcbrock84/headcountAdministers the cloud the company runs on rather than the one it sells — tenant and subscription structure, the SaaS estate and who owns each app, identity as the real perimeter, cloud spend that arrives as a surprise, and what the provider does not do for you. Use this to structure subscriptions or tenants, get control of sprawling SaaS, cut a cloud bill, work out who owns an application nobody admits to buying, or decide what corporate workloads belong in cloud at all.OtherNo warnings★ 2.6K↓ —
- scenario-videoscenario-labs/skillsUse when generating or editing video on Scenario via MCP: text-to-video, a music video from a song, image-to-video (still animation, frame anchors), motion prompting, lipsync and talking avatars, dubbing a clip, video upscale to 4K, prompt-based editing, trim, split, concat, extend, reframe, resize, background removal, frame or audio extraction, long video jobs, or a clip over a duration limit. Keywords: txt2video, img2video, video2video, audio2video, I2V, T2V, V2V, localization.MediaNo warnings★ 2.2K↓ —
- 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↓ —
- bonus-rabattKlotzkette/claude-fuer-deutsches-rechtFür Bonus Rabatt: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.OtherNo warnings★ 1.8K↓ —
- programmatic-seocbrock84/headcountBuilds large sets of search-targeted pages from a template and a dataset — the location, comparison, integration, and use-case pages that capture long-tail demand at scale. Use this when there is a repeating query pattern with real volume, when a dataset could answer many similar searches, or to judge whether a programmatic approach is viable before building it.MarketingNo warnings★ 2.6K↓ —
- 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↓ —
poka-yoke
github/awesome-copilot
DesignUpdated 20 hours ago
From the author
Mistake-proof code so misuse cannot be expressed, rather than warning against it. Use when designing an interface, schema, or state machine and the user wants it hard to get wrong ("make invalid states unrepresentable", "so callers cannot screw it up", "type-safe API", "pit of success"); when auditing existing code for footguns ("what could bite us here", "what is easy to misuse", "poka-yoke this repo", "review this diff for ways to get it wrong"); or when a bug has recurred and the fix must close the class rather than the case ("make sure this never happens again", "this is the third time"). Especially for money, auth, permissions, deletion, migrations, and pipelines where failure is silent. Classifies every finding by what happens when the mistake occurs and how the device notices, which is what keeps it from collapsing into generic code review.
Install
npx skills add github/awesome-copilot --skill poka-yoke -a claude-code
Installs to .claude/skills/poka-yoke/ · 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
Runs bundled scriptsNo network use seenLicence: MIT
Safety checks on SKILL.md
- Ships scripts we have not reviewedLow
Why 89
Security85
Provenance95
Maintenance100
Licence100
Adoption71
Files (6)
- SKILL.md
- references/hazard-catalog.md
- references/lang-python.md
- references/lang-rust-go.md
- references/lang-typescript.md
- scripts/detect_hazards.py