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.
14,555 skills from 421 repositories · updated 7 hours ago
895 skills
- gcp-computeBagelHole/DevOps-Security-Agent-SkillsManage Compute Engine instances and instance templates. Configure managed instance groups and preemptible VMs. Use when deploying compute resources on GCP.DevOpsNo warnings★ 1.2K↓ —
- sre-dashboardsBagelHole/DevOps-Security-Agent-SkillsDesign and operationalize SRE dashboards that surface reliability, latency, error, saturation, and capacity signals across services. Use when building observability views for SLOs, incident response, and executive reliability reporting.DevOpsNo warnings★ 1.2K↓ —
- llm-gatewayBagelHole/DevOps-Security-Agent-SkillsDeploy an API gateway for LLM traffic with load balancing, rate limiting, key management, semantic caching, fallback routing, and cost tracking. Covers LiteLLM Proxy, OpenRouter-compatible setup, and custom Nginx/Traefik patterns.DevOpsNo warnings★ 1.2K↓ —
- convex-backendBagelHole/DevOps-Security-Agent-SkillsBuild reactive backends with Convex functions, schema validation, auth integration, and deployment workflows. Use when building real-time apps with type-safe server functions and automatic caching.DevOpsNo warnings★ 1.2K↓ —
- openclaw-deployment-hardeningBagelHole/DevOps-Security-Agent-SkillsSecure OpenClaw deployments with preflight hardening checks, CI/CD guardrails, container runtime restrictions, and post-deploy verification. Use when shipping OpenClaw with Docker, Kubernetes, or automated release pipelines.DevOpsNo warnings★ 1.2K↓ —
- huggingface-llm-trainerhuggingface/skillsTrain or fine-tune language and vision models using TRL (Transformer Reinforcement Learning) or Unsloth with Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, model selection/leaderboards and model persistence. Use for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.OfficialDevOpsNo warnings★ 11.2K↓ —
- intelligent-oracleinternet-court/internet-court-skillDesign, deploy, and monitor a GenLayer Intelligent Oracle prediction market from any coding agent. Use when a user wants to create a settled-by-web-evidence prediction market without opening the web UI.DevOpsNo warnings★ 7K↓ —
- completion-checkparcadei/Continuous-Claude-v3Completion Check: Verify Infrastructure Is WiredDevOpsNo warnings★ 3.9K↓ —
- Privyinternet-court/internet-court-skillUse when building wallet infrastructure, authentication systems, or financial applications. Reach for Privy when you need to create embedded wallets, manage user authentication, control wallet permissions with policies, execute transactions across blockchains, or build treasury/agent wallets with programmable controls.DevOpsNo warnings★ 7K↓ —
- squadsinternet-court/internet-court-skillComplete guide for Squads Protocol - Solana's leading smart account and multisig infrastructure. Covers Squads V4 Multisig for team treasury management, Smart Account Program for account abstraction and programmable wallets, and Grid for stablecoin rails and fintech infrastructure.DevOpsNo warnings★ 7K↓ —
- pnp-markets-solanainternet-court/internet-court-skillCreate, trade, and settle permissionless prediction markets on Solana. Use when building prediction market infrastructure, creating social media markets (Twitter/YouTube/DeFiLlama), setting up custom oracle resolution, P2P betting, or autonomous agent-driven forecasting. Supports V2 AMM, P2P (V3), and custom oracle markets with any SPL token collateral (including Token-2022).DevOpsNo warnings★ 7K↓ —
- starknet-walletinternet-court/internet-court-skillCreate and manage Starknet wallets for AI agents. Transfer tokens, check balances, manage session keys, deploy accounts, and interact with smart contracts using native Account Abstraction.DevOpsNo warnings★ 7K↓ —
- cloud-claw-launch-agentinternet-court/internet-court-skillUse this skill when the user wants to launch a new AltClaw, OpenClaw, PicoClaw, or Ottie deployment through Cloud Claw. Covers the same user-facing fields and constraints exposed in the Cloud Claw UI, using the local altllm cloud-claw-* commands. Do NOT use for post-launch lifecycle tasks like start/stop/delete/logs; use cloud-claw-manage-vm.DevOpsNo warnings★ 7K↓ —
- matlab-instrument-opentelemetry-tracingmatlab/matlab-agentic-toolkitAdd OpenTelemetry tracing to MATLAB code. Use when the user asks to "add tracing", "instrument with spans", "add OpenTelemetry", "trace my code", "add observability" (when about tracing), or mentions "spans", "distributed tracing", or "OTel tracing" in the context of MATLAB functions. Covers span creation, parent-child context propagation, error handling, attributes, events, and semantic conventions.DevOpsNo warnings★ 1.2K↓ —
- matlab-extract-rotating-machinery-featuresmatlab/matlab-agentic-toolkitExtract features from signals collected on rotating machinery components, including motors, pumps, fans, gears, bearings, and shafts. Signals can include vibration, electrical, or environmental sensor measurements. Use when developing and deploying condition monitoring and fault detection applications for rotating machinery, including industrial machines, electrical vehicles, internal combustion engines, turbines, and drive trains.DevOpsNo warnings★ 1.2K↓ —
- langfuseAnil-matcha/awesome-muse-connectorsRead and write Langfuse: browse traces and observations, list prompts and datasets, score traces, add dataset items. Trigger phrases: langfuse, llm observability.DevOpsNo warnings★ 1.4K↓ —
- matlab-deploy-embedded-codematlab/matlab-agentic-toolkitDeploy MATLAB-generated code to embedded hardware using Embedded Coder. Use when configuring code generation for microcontrollers (STM32, Raspberry Pi, ARM Cortex), setting up PIL/SIL verification, disabling dynamic memory allocation, or configuring hardware-specific code generation settings. Covers ERT-based configurations, processor-in-the-loop testing, memory constraints, and the MEX→SIL→PIL verification progression.DevOpsNo warnings★ 1.2K↓ —
- cohesivityAnil-matcha/awesome-muse-connectorsBackend infrastructure for a project via Cohesivity (cohesivity.ai). Provisions Postgres, Redis, object storage, vector database, hosting, auth, realtime, email inbox, and AI model APIs through one HTTP API. No account or API keys required to start. Trigger phrases: cohesivity, provision backend, need a database, need hosting, need storage, deploy backend, on-the-fly infrastructure.DevOpsNo warnings★ 1.4K↓ —
- eu-ai-act-classificationlawve-ai/awesome-legal-skillsClassify AI systems under the EU AI Act (Regulation (EU) 2024/1689) and determine compliance obligations. Use when asked to assess AI risk level, check if an AI system is prohibited, determine high-risk status, identify GPAI model obligations, map provider/deployer responsibilities, or build an AI Act compliance roadmap. Covers the full classification decision tree (Prohibited → High-Risk → Limited → Minimal → GPAI), obligations by role (provider, deployer, importer, distributor), compliance timelines, and DACH-specific considerations (German works council, BaFin, BSI, BNetzA). Triggers on phrases like "classify this AI system", "is this high-risk under the AI Act", "AI Act risk assessment", "EU AI Act compliance", "prohibited AI practice", "GPAI obligations", "AI Act timeline".DevOpsNo warnings★ 891↓ —
- matlab-interpret-machine-learning-modelmatlab/matlab-agentic-toolkitInterpret and explain a trained tabular machine-learning model (classification or regression) in MATLAB. Find which predictors, features, or columns matter most; explain why the model made a specific prediction, including diagnosing predictions it got wrong; show how a predictor affects the output; and compare how the model behaves across cohorts or subgroups. Uses model-agnostic techniques and model-native measures, and works on custom models (such as a dlnetwork) through a prediction function handle. Use for model interpretability, explainability, and feature-importance questions on tabular data, not for training, tuning, feature selection, deploying models, or models trained on image, text, signal, or other non-tabular data.DevOpsNo warnings★ 1.2K↓ —
- turnstile-spinfcakyon/claude-codex-settingsSet up, repair, or migrate to Cloudflare Turnstile bot verification in an existing frontend and backend, including server-side Siteverify.DevOpsNo warnings★ 1.2K↓ —
- cloudflareAnil-matcha/awesome-muse-connectorsRead Cloudflare zones and DNS records: list zones, list DNS records for a zone. Trigger phrases: cloudflare, dns records, cloudflare zone.DevOpsNo warnings★ 1.4K↓ —
- golivemikehasa/golive-skillTake an agent-written app from repo to live production on the user's OWN accounts, with providers they choose (hosting, database, auth, payments, email, domain/DNS). The human connects accounts and approves changes; supported wiring operations run through a local CLI and produce verification evidence with explicit limits. Use when the user wants to ship, deploy, go live, launch, publish, or put their app online, or asks to wire up env vars, webhooks, auth settings (signup, email confirmation, password policy), a real signup → confirmation email → login journey, password recovery, account isolation between two users, auth redirects, email DNS or a custom domain.DevOpsNo warnings★ 1.3K↓ —
- d1-drizzle-schemajezweb/claude-skillsGenerate Drizzle ORM schemas for Cloudflare D1 databases with correct D1-specific patterns. Produces schema files, migration commands, type exports, and DATABASE_SCHEMA.md documentation. Handles D1 quirks: foreign keys always enforced, no native BOOLEAN/DATETIME types, 100 bound parameter limit, JSON stored as TEXT. Use when creating a new database, adding tables, or scaffolding a D1 data layer.DevOpsNo warnings★ 1.1K↓ —