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.
37,891 skills from 1,729 repositories · updated 13 minutes ago
37,891 skills
- seo-pagesickn33/agentic-awesome-skillsDeep single-page SEO analysis covering on-page elements, content quality, technical meta tags, schema, images, and performance. Use when user says "analyze this page", "check page SEO", or provides a single URL for review.MarketingNo warnings★ 48.4K↓ —Also in 1 other repo
- folklore-variant-evidenceK-Dense-AI/scientific-agent-skillsRetrieves ClinGen gene-disease validity assertions for a public gene or disease, and reviews source-linked public evidence and literature for one supported GRCh38 germline nuclear SNV or simple indel through Folklore Clinical Variant Interpretation MCP. Used when a scientific agent must branch deterministically on resolved, ambiguous, not-found, invalid, unsupported, or unavailable variant outcomes; chain a resolved public variant into related literature or publication details; or preserve evidence provenance without accepting patient, phenotype, family, segregation, or private case data.ScienceNo warnings★ 54.4K↓ —
- debuggersickn33/agentic-awesome-skillsDebugging specialist for errors, test failures, and unexpected behavior. Use proactively when encountering any issues.EngineeringNo warnings★ 48.4K↓ —
- yes-mdsickn33/agentic-awesome-skills6-layer AI governance: safety gates, evidence-based debugging, anti-slack detection, and machine-enforced hooks. Makes AI safe, thorough, and honest.EngineeringNo warnings★ 48.4K↓ —Also in 1 other repo
- google-cloud-solution-agentic-ai-bidirectional-streaminggoogle/skillsGuides agents to interactively discover customer requirements for live, bidirectional multi-agent AI systems that process continuous streams of multimodal data for real-time technical guidance and safety monitoring. Generates a custom Google Cloud solution that uses opinionated best practices and architecture guidance. Use when users need agentic assistance to design and create a multi-product solution in the cloud for live bidirectional multimodal streaming workloads. Don't use for simple text-based chat applications or workloads without real-time streaming requirements.OfficialDesignNo warnings★ 21.5K↓ —
- cloud-build-basicsgoogle/skillsTeaches the fundamentals of Cloud Build on Google Cloud. Covers core concepts, API enablement, console navigation to the Build History page, and the end-to-end workflow for creating and manually running a basic build trigger. Do not use for managing private pools or complex pipeline architectures.OfficialPlanningNo warnings★ 21.5K↓ —
- agents-mdsickn33/agentic-awesome-skillsCreate, revise, or audit AGENTS.md files from repository evidence, verified commands, and correctly scoped instructions without overwriting maintainer intent.OtherNo warnings★ 48.4K↓ —
- popup-crosickn33/agentic-awesome-skillsCreate and optimize popups, modals, overlays, slide-ins, and banners to increase conversions without harming user experience or brand trust.MarketingNo warnings★ 48.4K↓ —
- molykitsickn33/agentic-awesome-skillsCRITICAL: Use for MolyKit AI chat toolkit. Triggers on: BotClient, OpenAI, SSE streaming, AI chat, molykit, PlatformSend, spawn(), ThreadToken, cross-platform async, Chat widget, Messages, PromptInput, Avatar, LLMOtherNo warnings★ 48.4K↓ —
- bash-prosickn33/agentic-awesome-skillsMaster of defensive Bash scripting for production automation, CI/CD pipelines, and system utilities. Expert in safe, portable, and testable shell scripts.DevOpsNo warnings★ 48.4K↓ —Also in 1 other repo
- cloudishsickn33/agentic-awesome-skillsDeploy a Dockerfile, source folder, or existing image to Cloudish as a running container at a live URL, built server-side with no local Docker, with confirmation before spending credits.DevOpsNo warnings★ 48.4K↓ —Also in 1 other repo
- agentflowsickn33/agentic-awesome-skillsOrchestrate autonomous AI development pipelines through your Kanban board (Asana, GitHub Projects, Linear). Manages multi-worker Claude Code dispatch, deterministic quality gates, adversarial review, per-task cost tracking, and recoverable pipeline design.DesignNo warnings★ 48.4K↓ —
- pricingsickn33/agentic-awesome-skillsWhen the user wants help with pricing decisions, packaging, or monetization strategy.OtherNo warnings★ 48.4K↓ —
- anywritesickn33/agentic-awesome-skillsCompiled CLI covering all 52 endpoints of the Anytype local API — objects, properties, tags, search, chat, files — one binary, no MCP server needed.EngineeringNo warnings★ 48.4K↓ —Also in 1 other repo
- ui-a11ysickn33/agentic-awesome-skillsAudit a component or page for accessibility issues and fix themDesignNo warnings★ 48.4K↓ —Also in 1 other repo
- radare2sickn33/agentic-awesome-skillsDrive the radare2 CLI for binary reconnaissance, disassembly, analysis, function locating, export, and lightweight patching (r2/rabin2/rasm2/radiff2) without a GUI.EngineeringNo warnings★ 48.4K↓ —
- to-prdsickn33/agentic-awesome-skillsTurn the current conversation into a PRD and publish it to the project issue tracker — no interview, just synthesis of what you've already discussed.PlanningNo warnings★ 48.4K↓ —Also in 1 other repo
- gke-custom-golden-image-discoverygoogle/skillsDiscovers golden base images for creating GKE custom node images based on technical specifications or context clues. Use when finding the golden base image for custom GKE node creation, mapping cluster configuration parameters (GKE version, OS, architecture, accelerators, gVisor, cgroups) to image names, or querying GKE base image maps. Don't use for general GKE cluster creation (use gke-cluster-creation) or standard node pool management (use gke-basics).OfficialMediaNo warnings★ 21.5K↓ —
- agentmailsickn33/agentic-awesome-skillsEmail infrastructure for AI agents. Create accounts, send/receive emails, manage webhooks, and inspect billing balance via the AgentMail API.DevOpsNo warnings★ 48.4K↓ —
- bigtable-basicsgoogle/skillsAssists in provisioning instances/tables, designing performant schemas, and querying data in Bigtable. Use when designing Bigtable row keys, configuring column families, writing SQL queries or client library code (Java, Go, Python) for Bigtable, or diagnosing performance/hotspotting issues. Also use when provisioning Bigtable clusters using gcloud or cbt CLIs. Don't use for generic Cloud SQL administration.OfficialDataNo warnings★ 21.5K↓ —
- nature-dataYuan1z0825/nature-skillsDraft or audit manuscript Data/Code Availability statements, dataset access routes, repository plans, and FAIR metadata. Use for 数据可用性声明、数据共享、数据仓库选择 and dataset citations; not general data cleaning or statistical analysis.PlanningNo warnings★ 50.4K↓ —
- gke-reliabilitygoogle/skillsImproves GKE workload reliability, using PDBs, health probes, and topology spread constraints. Use when configuring GKE workload reliability, setting up PDBs, or configuring GKE health probes (liveness, readiness, startup). Don't use for generating K8s YAML manifests (use gke-manifest-generation) or disaster recovery and cluster backups (use gke-backup-dr).OfficialDevOpsNo warnings★ 21.5K↓ —
- cloud-logging-configuration-basicsgoogle/skillsConfigure single-project Cloud Logging on Google Cloud: regional log buckets, log sinks, log views, restricting or hiding sensitive logs in the default view (_Default) filter, IAM permissions for views (Logs View Accessor, IAM conditions), logs-based metrics, log exclusions, and sampling. Don't use for cross-project logging or multi-project setups.OfficialOtherNo warnings★ 21.5K↓ —
- agent-platform-rag-engine-managementgoogle/skillsManage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK. Use when listing RAG corpora or files, inspecting a corpus, retrieving contexts, or generating content grounded in a RAG corpus. Do not use for standard database queries (use SQL/Spanner skills), Google Workspace RAG, or other RAG products like gRAG.OfficialDataNo warnings★ 21.5K↓ —
multi-reviewer-patterns
wshobson/agents
EngineeringUpdated yesterday
From the author
Coordinate parallel code reviews across multiple quality dimensions with finding deduplication, severity calibration, and consolidated reporting. Use this skill when organizing multi-reviewer code reviews, calibrating finding severity, or consolidating review results.
Install
npx skills add wshobson/agents --skill multi-reviewer-patterns -a claude-code
Installs to .claude/skills/multi-reviewer-patterns/ · 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 95
Security100
Provenance95
Maintenance100
Licence100
Adoption71
Files (2)
- SKILL.md
- references/review-dimensions.md