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.
45,100 skills from 2,196 repositories · updated 8 hours ago
45,098 skills
- apple-appstore-reviewergithub/awesome-copilotServes as a reviewer of the codebase with instructions on looking for Apple App Store optimizations or rejection reasons.OtherNo warnings★ 40.4K↓ —
- gcp-gkesickn33/agentic-awesome-skillsDeploy and manage Google Kubernetes Engine clusters. Configure node pools, networking, and workload identity. Use when running Kubernetes on GCP.DevOpsNo warnings★ 48.5K↓ —
- falsifysickn33/agentic-awesome-skillsThe scientific thinking protocol for AI agents. Use when facing complex, ambiguous, or high-stakes questions where guessing is costly: hypothesis → attempt to break it → evidence → calibrated conclusion.ScienceNo warnings★ 48.5K↓ —
- ui-a11ysickn33/agentic-awesome-skillsAudit a component or page for accessibility issues and fix themDesignNo warnings★ 48.5K↓ —
- nature-writingYuan1z0825/nature-skillsDraft or restructure scientific manuscript arguments, sections, and initial-submission materials from author-provided evidence. Use for 论文写作、章节起草、论证重构、正文压缩、首次投稿材料. Use nature-polishing for language-only edits to existing prose and nature-response for post-decision correspondence.WritingNo warnings★ 50.7K↓ —
- gke-ai-troubleshooting-tpu-reservation-stockoutgoogle/skillsDiagnose and resolve cluster-wide GKE TPU node pool creation or scale-up failures caused by Compute Engine reservation stockouts (GCE_STOCKOUT, ZONE_RESOURCE_POOL_EXHAUSTED) when existing unhealthy or NotReady TPU node pools in the cluster have node auto-repair disabled and hold reserved TPU capacity. Use when TPU node pool creation or scale-up fails with GCE_STOCKOUT, ZONE_RESOURCE_POOL_EXHAUSTED, or ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS despite having a specific Compute Engine TPU reservation. Don't use for general pod scheduling without a TPU reservation or workload-level container crashes.OfficialPlanningNo warnings★ 21.6K↓ —
- datalineage-bigquery-asset-impact-analysisgoogle/skillsAnalyzes the downstream impact (blast radius) using data lineage on Google Cloud when a BigQuery table or view is broken, stale, or modified. Identifies all downstream tables, dashboards, and processes that will be affected. Use when: - Performing a blast radius or impact analysis for a BigQuery table or view. - Assessing the consequences of modifying, deleting, or pausing updates to a BigQuery asset. - Identifying downstream dependencies (tables, dashboards, processes) of a BigQuery asset. Don't use for: - General BigQuery querying or data analysis (use BigQuery-related tools instead). - Non-BigQuery assets (e.g., Cloud Storage files) unless they are part of the BigQuery lineage. - Creating or modifying lineage links directly.OfficialDataNo warnings★ 21.6K↓ —
- c-prosickn33/agentic-awesome-skillsReview and implement C systems code with explicit memory ownership, pointer bounds, error handling, and measured performance.EngineeringNo warnings★ 48.5K↓ —
- desk-opengithub/awesome-copilotCreate and open a new desk in the workshop. Sets up the folder structure, initial journal, and desk identity so the next session that sits down finds the trail.OtherNo warnings★ 40.4K↓ —
- google-cloud-waf-performance-optimizationgoogle/skillsGenerates performance-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Performance Optimization pillar of the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify performance requirements, and provide actionable recommendations for resource allocation, modular design, and elasticity.OfficialDesignNo warnings★ 21.6K↓ —
- unslopsickn33/agentic-awesome-skillsPost-process AI-generated text through the unslop CLI to strip AI writing patterns before publishingWritingNo warnings★ 48.5K↓ —
- aws-rdssickn33/agentic-awesome-skillsProvision and manage RDS databases. Configure backups, replication, and security. Use when deploying managed relational databases on AWS.DevOpsNo warnings★ 48.5K↓ —
- ai-loopsickn33/agentic-awesome-skillsRuns a bounded spec-build-review development loop with explicit scope, stop conditions, and human approval gates for risky or ambiguous work.PlanningNo warnings★ 48.5K↓ —
- unshipsickn33/agentic-awesome-skillsCompare AI agent-made UI variants locally in a real app, then keep one and clean up unused temporary code.DesignNo warnings★ 48.5K↓ —Also in 1 other repo
- gke-ai-troubleshooting-tpu-slice-mig-stuck-updatinggoogle/skillsDiagnose and resolve GKE TPU Dynamic Slice creation and JobSet scheduling failures blocked by underlying Compute Engine managed instance groups (MIGs) stuck in an updating or unstable state (isStable=False). Use when TPU slice creation fails with a SliceCreationFailed status reason, when JobSets remain stuck in pending, or when MIG status reflects isStable=False or versionTarget.isReached=False during TPU slice formation. Don't use for SliceCreationFailed causes unrelated to MIG stability (use gke-ai-troubleshooting-tpu-dynamic-slices-monitoring) or general pod scheduling failures unrelated to TPU slices.OfficialOtherNo warnings★ 21.6K↓ —
- create-technical-spikegithub/awesome-copilotCreate time-boxed technical spike documents for researching and resolving critical development decisions before implementation.OtherNo warnings★ 40.4K↓ —
- bug-huntersickn33/agentic-awesome-skillsSystematically finds and fixes bugs using proven debugging techniques. Traces from symptoms to root cause, implements fixes, and prevents regression.EngineeringNo warnings★ 48.5K↓ —
- cloud-run-basicsgoogle/skillsManages Cloud Run services, jobs, and worker pools. Use when you need to deploy applications responding to HTTP requests (services), run event-triggered or scheduled tasks (jobs), or handle always-on pull-based background processing (worker pools).OfficialDevOpsNo warnings★ 21.6K↓ —
- moyusickn33/agentic-awesome-skillsAnti-over-engineering guardrail that activates when an AI coding agent expands scope, adds abstractions, or changes files the user did not request.EngineeringNo warnings★ 48.5K↓ —
- dpop-adoptiongoogle/skillsImplement and debug OAuth 2.0 DPoP (RFC 9449) refresh token sender-constraining for WebCrypto, Node.js ES6, and browser runtimes integrating with Google's OAuth platform. Use when configuring non-extractable asymmetric key pairs (P-256), generating DPoP Proof JWTs for authorization code exchange and token refresh, or handling 400 use_dpop_nonce challenge retry loops at oauth2.googleapis.com/token. Don't use for unconstrained OAuth 2.0 flows (where refresh tokens are not bound to a client key pair), or for Google Cloud IAM / service account authentication.OfficialBrowserNo warnings★ 21.6K↓ —
- gke-storagegoogle/skillsManages GKE storage, including PVCs, PersistentVolumes, and Filestore. Use when configuring GKE storage or creating PVCs. For GCS FUSE mounts, use google-cloud-storage-fuse. For diagnosing storage failures (volume attach/mount errors, disk performance/node storage pressure, or Cloud Storage FUSE OOM), use gke-storage-troubleshooting. Don't use for database administration or replication strategies outside volume provisioning context.OfficialDataNo warnings★ 21.6K↓ —
- nikasickn33/agentic-awesome-skillsRuns repeatable AI work as checked, budgeted workflow files.ProductivityNo warnings★ 48.5K↓ —
- ima-dai-sdkgoogle/skillsIntegrates the Google Interactive Media Ads (IMA) Dynamic Ad Insertion (DAI) SDK into websites, web apps, mobile apps, or TV apps. Use when: - A video player needs to load and play HLS or DASH streams in web apps, Android apps, iOS apps, tvOS apps, Cast (CAF) receivers, or Roku channels. - The app needs to make use of a Google DAI livestream event asset key, or content source CMS ID, video ID for video on demand. Don't use this skill to load and play a VAST or VMAP URL.OfficialMediaNo warnings★ 21.6K↓ —
- secops-huntgoogle/skillsExpert guidance for proactive threat hunting in Google SecOps. Use when proactively hunting for threats, retroactively analyzing indicators of compromise (IoCs), performing prevalence searches across enterprise events, hunting for MITRE ATT&CK techniques, or detecting behavioral and statistical outliers using UDM queries. Don't use for incoming alert triage (use secops-triage), active incident response and timeline deep-dives on a known breach (use secops-investigate), or detection rule authoring (use secops-detection-engineering).OfficialFinanceNo warnings★ 21.6K↓ —
cosmosdb-datamodeling
github/awesome-copilot
DevOpsUpdated 22 hours ago
From the author
Step-by-step guide for capturing key application requirements for NoSQL use-case and produce Azure Cosmos DB Data NoSQL Model design using best practices and common patterns, artifacts_produced: "cosmosdb_requirements.md" file and "cosmosdb_data_model.md" file
Install
npx skills add github/awesome-copilot --skill cosmosdb-datamodeling -a claude-code
Installs to .claude/skills/cosmosdb-datamodeling/ · 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 (1)
- SKILL.md