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.
47,307 skills from 2,272 repositories · updated 2 hours ago
47,307 skills
- using-superpowersjnMetaCode/superpowers-zh在开始任何对话时使用——确立如何查找和使用技能，要求在任何响应（包括澄清性问题）之前调用 Skill 工具OtherNo warnings★ 8.4K↓ —
- agent-operated-softwaremvschwarz/openrigUse when designing, building, operating, or diagnosing an ongoing application whose live backend or control loop includes OpenRig agents, including applications with a Markdown, YAML, or JSON agent control plane or a thin surface over specialist agent roles.PlanningNo warnings★ 8.3K↓ —
- terraform-engineerJeffallan/claude-skillsUse when implementing infrastructure as code with Terraform across AWS, Azure, or GCP. Invoke for module development (create reusable modules, manage module versioning), state management (migrate backends, import existing resources, resolve state conflicts), provider configuration, multi-environment workflows, and infrastructure testing.DevOpsNo warnings★ 12.1K↓ —
- dotnet-core-expertJeffallan/claude-skillsUse when building .NET 8 applications with minimal APIs, clean architecture, or cloud-native microservices. Invoke for Entity Framework Core, CQRS with MediatR, JWT authentication, AOT compilation.PlanningNo warnings★ 12.1K↓ —
- observability-llm-obselastic/agent-skillsAnswer questions about LLM and agentic-application behavior from data already ingested into Elastic: latency and error rate, token and cost utilization, response quality and guardrail events, and agentic call-chain orchestration. Use when the user asks about LLM monitoring, GenAI observability, token spend or AI cost, model latency, prompt or guardrail failures, or how an agent's tool-call chain executed.OfficialDevOpsNo warnings★ 602↓ —Also in 1 other repo
- doc-coauthoringgetsentry/skillsGuide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.OfficialWritingNo warnings★ 1.1K↓ —
- firebase-crashlyticsfirebase/agent-skillsComprehensive guide for Firebase Crashlytics, including provisioning and SDK usage. Use this skill when the user needs help setting up Crashlytics, adding crash reporting, or using the Crashlytics SDK in their application.OfficialOtherNo warnings★ 491↓ —
- dogfoodmvschwarz/openrigSystematically explore and test a web application to find bugs, UX issues, and other problems. Use when asked to "dogfood", "QA", "exploratory test", "find issues", "bug hunt", "test this app/site/platform", or review the quality of a web application. Produces a structured report with full reproduction evidence -- step-by-step screenshots, repro videos, and detailed repro steps for every issue -- so findings can be handed directly to the responsible teams.TestingNo warnings★ 8.3K↓ —Also in 1 other repo
- context-buildermvschwarz/openrigGather and distill context from meetings, competitors, regulatory sources, and internal discussions. Produces background.md for a feature and updates shared context docs when new knowledge is discovered.ProductivityNo warnings★ 8.3K↓ —Also in 1 other repo
- firebase-hosting-basicsfirebase/agent-skillsDeploys and configures classic Firebase Hosting for static websites, single-page apps (SPAs), and microservices. Use when deploying static sites/SPAs, setting up custom domains, configuring firebase.json hosting settings (redirects, rewrites, headers, multi-site), or managing preview channels. Don't use for Firebase App Hosting (Next.js/SSR), Auth, Firestore queries/rules, Data Connect, or Crashlytics.OfficialDevOpsNo warnings★ 491↓ —
- gentle-ai-chained-prGentleman-Programming/gentle-aiTrigger: PRs over 400 lines, stacked PRs, review slices. Split oversized changes into chained PRs that protect review focus.EngineeringNo warnings★ 8.1K↓ —
- laravel-specialistJeffallan/claude-skillsBuild and configure Laravel 10+ applications, including creating Eloquent models and relationships, implementing Sanctum authentication, configuring Horizon queues, designing RESTful APIs with API resources, and building reactive interfaces with Livewire. Use when creating Laravel models, setting up queue workers, implementing Sanctum auth flows, building Livewire components, optimising Eloquent queries, or writing Pest/PHPUnit tests for Laravel features.PlanningNo warnings★ 12.1K↓ —
- create-branchgetsentry/skillsCreate a git branch following Sentry naming conventions. Use when asked to "create a branch", "new branch", "start a branch", "make a branch", "switch to a new branch", or when starting new work on the default branch.OfficialEngineeringNo warnings★ 1.1K↓ —
- spring-boot-engineerJeffallan/claude-skillsGenerates Spring Boot 3.x configurations, creates REST controllers, implements Spring Security 6 authentication flows, sets up Spring Data JPA repositories, and configures reactive WebFlux endpoints. Use when building Spring Boot 3.x applications, microservices, or reactive Java applications; invoke for Spring Data JPA, Spring Security 6, WebFlux, Spring Cloud integration, Java REST API design, or Microservices Java architecture.SecurityNo warnings★ 12.1K↓ —
- deck-blueprintnexu-io/html-anything奶油纸 + 锈红 + 蓝图网格 mask + 黑边硬卡片 + pipeline 盒DocumentsNo warnings★ 9.3K↓ —Also in 1 other repo
- openrig-cmuxmvschwarz/openrigUse when opening OpenRig fleet terminals into cmux — turning a rig, pod, mission, slice, or saved view into live agent tiles via `rig terminal --provider cmux`, or driving cmux on an agent's request. Same OpenRig view semantics as openrig-herdr (the verbs, honest-partial/degrade, read-only cross-rig, scroll/copy, same-size-only duplicates); cmux is the **best-effort** provider (herdr is the default and the proof-gated one). Prefer openrig-herdr unless cmux is specifically wanted.PlanningNo warnings★ 8.3K↓ —Also in 1 other repo
- verification-before-completionmvschwarz/openrigUse when about to claim work is complete, fixed, or passing, or before committing or creating PRsOtherNo warnings★ 8.3K↓ —Also in 1 other repo
- openrig-herdrmvschwarz/openrigUse when opening OpenRig fleet terminals as a herdr wall — turning a rig, pod, mission, slice, or saved view into live interactive agent tiles via `rig terminal`, watching another rig read-only, or driving herdr on an agent's request ("open all my rigs + a mission as views"). Covers the `rig terminal open|views|status` verbs, the honest-partial/degrade reading of the result, the read-only-by-construction rail for cross-rig views, scroll/copy out of the box, and the same-size-only duplicate-pane limit. herdr is the default, proof-gated provider.OtherNo warnings★ 8.3K↓ —Also in 1 other repo
- ml-pipelineJeffallan/claude-skillsDesigns and implements production-grade ML pipeline infrastructure: configures experiment tracking with MLflow or Weights & Biases, creates Kubeflow or Airflow DAGs for training orchestration, builds feature store schemas with Feast, deploys model registries, and automates retraining and validation workflows. Use when building ML pipelines, orchestrating training workflows, automating model lifecycle, implementing feature stores, managing experiment tracking systems, setting up DVC for data versioning, tuning hyperparameters, or configuring MLOps tooling like Kubeflow, Airflow, MLflow, or Prefect.DevOpsNo warnings★ 12.1K↓ —
- fine-tuning-expertJeffallan/claude-skillsUse when fine-tuning LLMs, training custom models, or adapting foundation models for specific tasks. Invoke for configuring LoRA/QLoRA adapters, preparing JSONL training datasets, setting hyperparameters for fine-tuning runs, adapter training, transfer learning, finetuning with Hugging Face PEFT, OpenAI fine-tuning, instruction tuning, RLHF, DPO, or quantizing and deploying fine-tuned models. Trigger terms include: LoRA, QLoRA, PEFT, finetuning, fine-tuning, adapter tuning, LLM training, model training, custom model.DevOpsNo warnings★ 12.1K↓ —
- blog-writing-guidegetsentry/skillsWrite, review, and improve blog posts for the Sentry engineering blog following Sentry's specific writing standards, voice, and quality bar. Use this skill whenever someone asks to write a blog post, draft a technical article, review blog content, improve a draft, write a product announcement, create an engineering deep-dive, or produce any written content destined for the Sentry blog or developer audience. Also trigger when the user mentions "blog post," "blog draft," "write-up," "announcement post," "engineering post," "deep dive," "postmortem," or asks for help with technical writing for Sentry. Even if the user just says "help me write about [feature/topic]" — if it sounds like it could become a Sentry blog post, use this skill.OfficialWritingNo warnings★ 1.1K↓ —
- elasticsearch-index-designelastic/agent-skillsDesign and review Elasticsearch index mappings for stated access patterns: correct field types, text+keyword multi-fields, doc_values tuning, mapping-explosion avoidance, and explicit shard settings. Use when creating a new index, reviewing a mapping for storage or query performance, fixing wrong field types, or when the user asks which type to use for search, filter, sort, or aggregation on a field.OfficialDesignNo warnings★ 602↓ —Also in 1 other repo
- oversight-teammvschwarz/openrigUse when you are a seat on the oversight pod (a standing monitor-mode rig that keeps OTHER rigs healthy), configuring or running the drift detectors, or choosing whether to intervene vs escalate. Covers the pull-not-poll posture, the v0 detectors (premature-park, process-drift, off-task, token-burn), the intervention ladder (orchestrator-ping -> refocus -> human escalation), and the cheap+deep model economics. NOT for orchestrating your OWN rig (orchestration-team) and NOT the intervention primitive mechanics (watchdog).ProductivityNo warnings★ 8.3K↓ —Also in 1 other repo
- cloud-onboardingelastic/agent-skillsOnboard an Elastic Cloud organization: configure the `elastic` CLI's Cloud context and API key, establish a default region, then invite users, assign predefined or custom Serverless project roles, and create or revoke Cloud API keys. Use when setting up Cloud authentication or when granting, modifying, or auditing user access to an organization and its projects.OfficialEngineeringNo warnings★ 602↓ —Also in 1 other repo
ml-pipeline
Jeffallan/claude-skills
DevOpsUpdated 13 hours ago
From the author
Designs and implements production-grade ML pipeline infrastructure: configures experiment tracking with MLflow or Weights & Biases, creates Kubeflow or Airflow DAGs for training orchestration, builds feature store schemas with Feast, deploys model registries, and automates retraining and validation workflows. Use when building ML pipelines, orchestrating training workflows, automating model lifecycle, implementing feature stores, managing experiment tracking systems, setting up DVC for data versioning, tuning hyperparameters, or configuring MLOps tooling like Kubeflow, Airflow, MLflow, or Prefect.
Install
npx skills add Jeffallan/claude-skills --skill ml-pipeline -a claude-code
Installs to .claude/skills/ml-pipeline/ · 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 92
Security100
Provenance89
Maintenance100
Licence100
Adoption64
Files (6)
- SKILL.md
- references/experiment-tracking.md
- references/feature-engineering.md
- references/model-validation.md
- references/pipeline-orchestration.md
- references/training-pipelines.md