io.github.chromium/chromium/histogram-cleanup

Identify and safely remove expired Chromium histograms (dead metrics/technical debt). Use this skill when a contributor asks to clean up metrics, fix code health issues related to histograms, remove obsolete code, or work on a histogram cleanup task.

io.github.gravitational/teleport/teleport-acl-review

Review Teleport access lists that are due for audit. Use when the user asks to review access lists, audit Teleport ACLs, check which access lists need attention, perform periodic access list reviews, recertify access, or manage Teleport access list compliance. Trigger on phrases like "review access lists", "which access lists need review", "audit my ACLs", "recertify access lists", or any mention of Teleport access list reviews. Also trigger when the user follows up on access list findings from a previous command.

io.github.Azure/azure-service-operator/testing-aso-recordings

Use when you need to run ASO controller CRUD tests or sample tests, verify recordings play back correctly, or re-record after changes.

io.github.spencerpauly/awesome-cursor-skills/kubernetes-deploying

Deploy applications to Kubernetes — Deployments, Services, Ingress, ConfigMaps, Secrets, health checks, and scaling.

io.github.spencerpauly/awesome-cursor-skills/database-design

Design database schemas — tables, relationships, indexes, constraints, and ORM setup. Covers relational design, normalization, and common patterns.

io.github.mckinsey/vizro/writing-vizro-yaml

Use this skill when writing or debugging Vizro YAML dashboard configurations — component syntax, data_manager registration, custom function wiring, filter/parameter setup, or AG Grid tables. Activate when the user is building a Vizro app, encountering YAML or runtime errors, or asking about Vizro component patterns.

io.github.spencerpauly/awesome-cursor-skills/adding-docker

Dockerize an application with a production-ready Dockerfile, docker-compose setup, and .dockerignore.

io.github.medusajs/medusa/writing-tutorials

Creates Medusa documentation tutorials in two phases: first builds the tutorial feature in an example project (with planning, coding, and tests), then writes the MDX documentation. Use when creating a new how-to tutorial or integration guide for the Medusa docs. Handles both feature implementation and documentation writing, but only one phase at a time.

io.github.open-edge-platform/anomalib/testing

Review/generate unit, integration, and regression test expectations

io.github.open-edge-platform/anomalib/python-style

Reviews anomalib Python style, typing, imports, and public API conventions

io.github.open-edge-platform/anomalib/python-docstrings

Enforces Google-style Python docstrings for Python code

io.github.kubesphere/kubesphere/frontend-integration-yaml

Generate canonical FrontendIntegration YAML from a simplified single-menu authoring model for frontend-forge.

io.github.kubesphere/kubesphere/frontend-forge-fi-operations

Operate FrontendIntegration resources and the frontend-forge extension. Use when Codex needs to create a FrontendIntegration from FrontendIntegration YAML, update or patch FI lifecycle state, inspect or troubleshoot FI build output, or create, enable, disable, uninstall, and inspect the frontend-forge extension through its InstallPlan and extension resources.

io.github.UsefulSoftwareCo/executor/effect-http-testing

Testing Effect HttpApi services end-to-end. Use when writing tests that involve Effect's HttpApi, HttpApiBuilder, HttpClient, HttpServer, or when testing any HTTP service/plugin built with @effect/platform. Covers proper layer composition, test server setup, HttpClient injection, and common pitfalls.

io.github.RhysSullivan/executor/effect-http-testing

Testing Effect HttpApi services end-to-end. Use when writing tests that involve Effect's HttpApi, HttpApiBuilder, HttpClient, HttpServer, or when testing any HTTP service/plugin built with @effect/platform. Covers proper layer composition, test server setup, HttpClient injection, and common pitfalls.

io.github.GodJh1n/GPUMD-skill/automation

Prepare dataset-curation and active-learning workflows around NepTrain and NepTrainKit. Use when the user needs perturbation-based sampling, representative-structure selection (FPS / max-min), automated NEP project scaffolding, interactive outlier inspection, or iterative retrain loops rather than a single manual NEP fit.

io.github.Jamkris/everything-gemini-code/automation-audit-ops

Evidence-first automation inventory and overlap audit workflow for ECC. Use when the user wants to know which jobs, hooks, connectors, MCP servers, or wrappers are live, broken, redundant, or missing before fixing anything.

io.github.Community-Access/accessibility-agents/mobile-accessibility

Mobile accessibility specialist for React Native, Expo, iOS (SwiftUI/UIKit), and Android (Jetpack Compose/Views). Audits accessibilityLabel, accessibilityRole, accessibilityHint, touch target sizes, screen reader compatibility, and platform-specific semantics. Use for any React Native or native mobile code review - approximately 60% of web traffic is mobile and most UI accessibility tooling ignores mobile-specific patterns.

io.github.Snailclimb/interview-guide/frontend

用于前端工程面试出题；覆盖 JavaScript、React/Vue、浏览器原理和性能优化，强调业务实战与工程化能力。

io.github.Snailclimb/interview-guide/python-backend

用于 Python 后端面试出题；覆盖 Python 基础、数据库、Django/Flask、缓存与部署，强调工程落地。

io.github.K9i-0/ccpocket/mobile-automation

MCP (dart-mcp + Marionette) を使ったFlutterアプリのE2E自動化・UI検証ガイド。シミュレーターでのUI動作確認、モックプレビュー検証、Bridge経由のE2Eテスト、スクリーンショット撮影など、アプリの動作検証が必要なときに使う。「動作確認して」「UIを検証して」「E2Eテスト」「シミュレーターで確認」「モックで確認」と言われたときや、UI変更後の検証フェーズで使用すること。

io.github.anthropics/knowledge-work-plugins/design-mcp-workflow

Design a Zoom MCP workflow for Claude. Use when deciding whether Zoom MCP fits a task, when planning tool-based AI workflows, or when separating MCP responsibilities from REST API responsibilities.

io.github.Asymmetric-al/core/nextjs-supabase-auth

Integrate Supabase Auth with Next.js App Router using middleware, callback handling, protected routes, and server/client client boundaries.

io.github.luongnv89/claude-howto/refactor

Систематичний рефакторинг коду на основі методології Мартіна Фаулера. Використовуйте, коли користувачі просять рефакторити код, покращити структуру коду, зменшити технічний борг, очистити застарілий код, усунути запахи коду (code smells) або покращити супровідність коду. Ця навичка проводить через поетапний підхід з дослідженням, плануванням та безпечною інкрементальною реалізацією.