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.
8,582 skills from 252 repositories · updated 27 minutes ago
588 skills
- latchbio-integrationK-Dense-AI/scientific-agent-skillsBuilds, registers, debugs, and operates bioinformatics workflows on Latch using the Python SDK, CLI, Latch Data and Registry, Nextflow, Snakemake, programmatic execution, and Latch MCP. Use when authoring or deploying Latch workflows, configuring resources or interfaces, moving data, integrating Registry, or launching and monitoring runs.DevOpsNo warnings★ 53.4K↓ —
- markitdownK-Dense-AI/scientific-agent-skillsConverts heterogeneous documents and selected URIs to Markdown with Microsoft MarkItDown for text analysis, search, and LLM/RAG ingestion. Covers safe local conversion, streams, Office/PDF/data formats, batch workflows, plugins, vision OCR, Azure extraction, and the official MCP server.DevOpsNo warnings★ 53.4K↓ —
- rowanK-Dense-AI/scientific-agent-skillsRowan is a cloud-native molecular modeling and medicinal-chemistry workflow platform with a Python API. Use for pKa and macropKa prediction, conformer and tautomer ensembles, docking and analogue docking, protein-ligand cofolding, MSA generation, molecular dynamics, permeability, descriptor workflows, and related small-molecule or protein modeling tasks. Ideal for programmatic batch screening, multi-step chemistry pipelines, and workflows that would otherwise require maintaining local HPC/GPU infrastructure.DevOpsNo warnings★ 53.4K↓ —
- batch-script-progressgithub/awesome-copilotDesign and verify runtime output when creating or modifying Python, PowerShell, or Node.js scripts that process multiple files, records, or API requests. Use for batch scripts, bulk operations, silent long-running loops, progress reporting, per-item failures, final counts, stdout separation, or exit-status consistency. Not for UI progress bars, monitoring infrastructure, or progress updates in the AI conversation.DevOpsNo warnings★ 40.3K↓ —
- miro-observabilityjeremylongshore/tons-of-skills-marketplaceDesign and implement repository-side Miro instrumentation with safe metrics, rate-credit headers, semantic outcomes, and actionable alerts. Use when operating a Miro integration. Trigger with "monitor Miro integration".DevOpsNo warnings★ 2.9K↓ —
- agent-platform-tuninggoogle/skillsAgent Platform Model Tuning. Use when you need to fine-tune open models or Gemini models using Agent Platform infrastructure. Don't use for model training outside Agent Platform, model deployment to endpoints (use `agent-platform-deploy`), or managing serving endpoints (use `agent-platform-endpoint-management`).OfficialDevOpsNo warnings★ 21.5K↓ —
- gke-app-onboardinggoogle/skillsManages GKE application onboarding, covering containerization, deployment manifests, and migration. Use when onboarding or deploying an application to GKE for the first time, or containerizing an app for GKE. Don't use for general GKE cluster administration or upgrades (use gke-basics or gke-upgrades instead).OfficialDevOpsNo warnings★ 21.5K↓ —
- linear-cost-tuningjeremylongshore/tons-of-skills-marketplaceAnalyze and reduce the infrastructure and quota cost of a Linear integration through workload accounting, query budgets, and push-based updates. Use when a sync is wasteful, throttled, or expensive to operate. Trigger with "reduce Linear API load", "budget Linear queries", or "tune Linear integration cost".DevOpsNo warnings★ 2.9K↓ —
- hex-prod-checklistjeremylongshore/tons-of-skills-marketplaceExecute Hex production deployment checklist and rollback procedures. Use when deploying Hex integrations to production, preparing for launch, or implementing go-live procedures. Trigger with phrases like "hex production", "deploy hex", "hex go-live", "hex launch checklist".DevOpsNo warnings★ 2.9K↓ —
- groq-observabilityjeremylongshore/tons-of-skills-marketplaceSet up observability for Groq integrations: latency histograms, token throughput, rate limit gauges, cost tracking, and Prometheus alerts. Use when instrumenting Groq API calls, building a metrics dashboard, or wiring latency/cost/rate-limit alerts. Trigger with phrases like "groq monitoring", "groq metrics", "groq observability", "monitor groq", "groq alerts", "groq dashboard".DevOpsNo warnings★ 2.9K↓ —
- clay-observabilityjeremylongshore/tons-of-skills-marketplaceMonitor Clay enrichment pipeline health, credit consumption, and data quality metrics. Use when setting up dashboards for Clay operations, configuring alerts for credit burn, or tracking enrichment success rates. Trigger with phrases like "clay monitoring", "clay metrics", "clay observability", "monitor clay", "clay alerts", "clay dashboard", "clay credit tracking".DevOpsNo warnings★ 2.9K↓ —
- castai-cost-tuningjeremylongshore/tons-of-skills-marketplaceAnalyze CAST AI cost, available-savings, and realized-savings reports into a defensible optimization plan. Use when investigating spend, validating savings claims, applying private-price adjustments, or prioritizing workloads and clusters. Trigger with: "tune CAST AI costs", "verify CAST AI savings", "reduce Kubernetes spend with CAST AI".DevOpsNo warnings★ 2.9K↓ —
- anth-observabilityjeremylongshore/tons-of-skills-marketplaceSet up observability for Claude API integrations with metrics, logging, and alerting for latency, cost, errors, and token usage. Trigger with phrases like "anthropic monitoring", "claude observability", "anthropic metrics", "track claude usage", "claude dashboard".DevOpsNo warnings★ 2.9K↓ —
- navigating-githubjeremylongshore/tons-of-skills-marketplaceFirst-time GitHub setup and interactive git learning. Walks users from zero to a working GitHub repo, then teaches git through 9 hands-on lessons on their actual project. Adapts language and depth to skill level — inferred from environment, not questionnaires. Two modes: Setup (guided onboarding) and Learn (progressive curriculum from commits to CI/CD). Use when the user asks to set up GitHub, learn git, or says "teach me github". Trigger with "set up my repo", "help me with github", "teach me github", "learn git", "what are branches", "teach me PRs", or "how do I use github".DevOpsNo warnings★ 2.9K↓ —
- flyio-hello-worldjeremylongshore/tons-of-skills-marketplacePrepare and verify a minimal Fly.io application launch with reviewable configuration and a safe first deployment. Use when onboarding a new service. Trigger with: "launch first Fly app", "deploy hello world to Fly", "create Fly launch plan".DevOpsNo warnings★ 2.9K↓ —
- exa-observabilityjeremylongshore/tons-of-skills-marketplaceInstrument Exa calls with content-free metrics, traces, cost, and asynchronous lifecycle signals that support diagnosis without logging retrieved text. Use when operating or reviewing this Exa boundary. Trigger with "Exa observability", "review Exa observability", or "fix Exa observability".DevOpsNo warnings★ 2.9K↓ —
- release-itciembor/agent-rules-booksApply Michael T. Nygard-inspired production reliability rules when designing failure handling, timeouts, retries, circuit breakers, observability, or deployment behavior.DevOpsNo warnings★ 3.1K↓ —
- hf-cloud-sagemaker-production-defaultshuggingface/skillsCreate a SageMaker endpoint (real-time, real-time scale-to-zero, or async) with autoscaling, CloudWatch alarms, and tagging enabled by default. Use this skill whenever about to create a SageMaker endpoint, write deployment code that calls `create_endpoint`, or finalize a deployment after the image URI and IAM role are known. Provides deploy.py for real-time endpoints, deploy_ic.py for real-time endpoints that scale to zero instances via inference components, and deploy_async.py for async endpoints (also scale-to-zero). This is the last step in the SageMaker deployment workflow. Never generate a bare `create_endpoint` call without these defaults — endpoints without autoscaling or alarms are demos, not deployments.OfficialDevOpsNo warnings★ 11.2K↓ —
- hf-cloud-sagemaker-iam-preflighthuggingface/skillsEnsure a usable SageMaker execution role exists before deploying or training. Use this skill whenever about to create a SageMaker endpoint, model, training job, or any resource that requires an execution role. Use it especially when the user has not provided a role ARN explicitly, when scripts are about to call `iam:CreateRole`, or when an AccessDenied error mentions an IAM action. Never blindly call `iam:CreateRole` — always check for existing roles first. This skill prevents the most common SageMaker deployment failure: trying to create IAM resources from an SSO principal that has no IAM write permissions.OfficialDevOpsNo warnings★ 11.2K↓ —
- pinme-shareglitternetwork/pinmeUse this skill when the user wants to share, publish, or upload a static result through PinMe, especially by generating a static HTML share page for a PinMe project link, deployed full-stack app, Codex conversation summary, report, file, demo, or any 分享/发布/上传分享页 request that should end with `pinme upload`.DevOpsNo warnings★ 3.8K↓ —
- pinme-r2glitternetwork/pinmeUse when a PinMe Cloudflare Worker needs R2 object storage, including secure file or image upload, streaming download, metadata lookup, deletion, listing, Range requests, or R2+D1 coordination. Guides AI to use PinMe's automatically injected env.R2 binding without R2 credentials or manual Wrangler configuration.DevOpsNo warnings★ 3.8K↓ —
- pinmeglitternetwork/pinmeUse this skill when the user mentions "pinme", or needs to upload files, store to IPFS, create/publish/deploy websites or full-stack services (including frontend pages, backend APIs, database storage, email sending, etc.), or any feature requiring backend database/server support.DevOpsNo warnings★ 3.8K↓ —
- launch-nemo-rlNVIDIA/skillsPlaybook for launching, monitoring, stopping, and debugging NeMo-RL recipes on a Kubernetes cluster via the nrl-k8s CLI. Covers ephemeral vs long-lived RayCluster modes, iterating on runs, and debugging hung or failed training jobs.DevOpsNo warnings★ 3.7K↓ —
- rtvi-cv-customize-modelNVIDIA/skillsHow to swap the DeepStream CV detection model in the VSS Alerts Blueprint verification (2d_cv) mode - covers ONNX export, custom bbox parsers, compose mount gotchas, nvinfer config, runtime TRT engine build, deployment, and a segmentation-capable model addendum handoff.DevOpsNo warnings★ 3.7K↓ —