Discover and install skills, docs, and rules to enhance your AI agent's capabilities.
| Name | Contains | Score |
|---|---|---|
majiayu000/claude-skill-registry-data [01] META. Сканирует доступные skills, создает план выполнения и идет шаг за шагом с подтверждением каждого этапа. Triggers on complex tasks, multi-step work, or when structured execution is needed. | Skills | |
majiayu000/claude-skill-registry-data Validate messaging consistency across website, GitHub repos, and local documentation generating read-only discrepancy reports. Use when checking content alignment or finding mixed messaging. Trigger with phrases like "check consistency", "validate documentation", or "audit messaging". | Skills | |
browser-use/browser-use Controls a local browser from a sandboxed remote machine. Use when the agent is running in a sandbox (no GUI) and needs to navigate websites, interact with web pages, fill forms, take screenshots, or expose local dev servers via tunnels. | Skills | |
einverne/dotfiles Browser automation, debugging, and performance analysis using Puppeteer CLI scripts. Use for automating browsers, taking screenshots, analyzing performance, monitoring network traffic, web scraping, form automation, and JavaScript debugging. | Skills | |
jabrena/cursor-rules-java Use when creating or updating OpenSpec artifacts from an issue, plan, approved design, ADRs, existing OpenSpec, or a valid combination. The workflow assesses reviewable scope, records source authority and derivation, handles conflicts, and prevents silent synchronization. Triggers include Create OpenSpec from an issue; Convert a plan into OpenSpec; Update an OpenSpec change; Split broad requirements into reviewable changes. Part of Plinth Toolkit | Skills | |
davepoon/buildwithclaude Automate CircleCI tasks via Rube MCP (Composio): trigger pipelines, monitor workflows/jobs, retrieve artifacts and test metadata. Always search tools first for current schemas. | Skills | |
davepoon/buildwithclaude Automate Brevo (Sendinblue) tasks via Rube MCP (Composio): manage email campaigns, create/edit templates, track senders, and monitor campaign performance. Always search tools first for current schemas. | Skills | |
jakubkrehel/make-interfaces-feel-better Design engineering principles for making interfaces feel polished. Use when building UI components, reviewing frontend code, implementing animations, hover states, shadows, borders, typography, icons, micro-interactions, enter/exit animations, or any visual detail work. Supports quick and full review modes. Triggers on UI polish, design details, "make it feel better", "feels off", stagger animations, border radius, optical alignment, font smoothing, tabular numbers, image outlines, box shadows, icons, icon stroke weight, icon states, motion restraint. | Skills | |
DietrichGebert/ponytail Forces the laziest solution that actually works, simplest, shortest, most minimal. Channels a senior dev who has seen everything: question whether the task needs to exist at all (YAGNI), reach for the standard library before custom code, native platform features before dependencies, one line before fifty. Supports intensity levels: lite, full (default), ultra. Use on ANY coding task: writing, adding, refactoring, fixing, reviewing, or designing code, and choosing libraries or dependencies. Also use whenever the user says "ponytail", "be lazy", "lazy mode", "simplest solution", "minimal solution", "yagni", "do less", or "shortest path", or complains about over-engineering, bloat, boilerplate, or unnecessary dependencies. Do NOT use for non-coding requests (general knowledge, prose, translation, summaries, recipes). | Skills | |
AndreJorgeLopes/proof-of-skill Use when creating a new skill, writing a skill from scratch, or converting a process into a reusable skill — enforces TDD, empirical validation, and quality monitoring | Skills | |
majiayu000/claude-skill-registry [01] META. Сканирует доступные skills, создает план выполнения и идет шаг за шагом с подтверждением каждого этапа. Triggers on complex tasks, multi-step work, or when structured execution is needed. | Skills | |
majiayu000/claude-skill-registry Validate messaging consistency across website, GitHub repos, and local documentation generating read-only discrepancy reports. Use when checking content alignment or finding mixed messaging. Trigger with phrases like "check consistency", "validate documentation", or "audit messaging". | Skills | |
boisenoise/skills-collections Azure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines. | Skills | |
boisenoise/skills-collections Azure AI Content Safety SDK for Python. Use for detecting harmful content in text and images with multi-severity classification. | Skills | |
felvieira/claude-skills-fv Skill de Documentação por nível de decisão. Use quando precisar documentar features, APIs, arquitetura, setup, operação, ou manter documentação existente atualizada. Trigger em: "documentar", "documentação", "docs", "ADR", "architecture decision record", "README", "feature doc", "api doc", "setup doc", "runbook", "troubleshooting", "doc de operação", "registrar decisão", "atualizar docs". | Skills | |
boisenoise/skills-collections Project scaffolding templates for new applications. Use when creating new projects from scratch. Contains 12 templates for various tech stacks. | Skills | |
addyosmani/agent-skills Guides systematic root-cause debugging. Use when tests fail, builds break, behavior doesn't match expectations, or you encounter any unexpected error. Use when you need a systematic approach to finding and fixing the root cause rather than guessing. | Skills | |
v0.1.0 Generates AI quality evaluation reports for LLM and ML-powered products — designs golden datasets, defines accuracy metrics, tracks quality across iterations, and produces stakeholder-ready summaries that explain probabilistic behaviour in business language. Use when evaluating AI or LLM output quality, building an eval framework or golden dataset, benchmarking accuracy between releases or prompt versions, reporting AI quality to clients or executives, or when the user asks "how good is our AI", "accuracy report", "eval results", "benchmark the model", or "why does the AI give different answers to the same question". Contains: ai-eval-report Generates AI quality evaluation reports for LLM and ML-powered products — designs golden datasets, defines accuracy metrics, tracks quality across iterations, and produces stakeholder-ready summaries that explain probabilistic behaviour in business language. Use when evaluating AI or LLM output quality, building an eval framework or golden dataset, benchmarking accuracy between releases or prompt versions, reporting AI quality to clients or executives, or when the user asks "how good is our AI", "accuracy report", "eval results", "benchmark the model", or "why does the AI give different answers to the same question". | Skills | |
v0.2.0 Respond in the voice of a salty seafaring pirate — swapping everyday words for nautical slang, droppin' the 'g' on -ing endings, and sprinkling in sea metaphors, while keeping all code, commands, and technical facts exact. Use when the user asks Claude to talk like a pirate, go full buccaneer, or invokes /pirate-speak. Applies the persona to all replies until the user asks to stop. Contains: pirate-speak Respond in the voice of a salty seafaring pirate — swapping everyday words for nautical slang, droppin' the 'g' on -ing endings, and sprinkling in sea metaphors, while keeping all code, commands, and technical facts exact. Use when the user asks Claude to talk like a pirate, go full buccaneer, or invokes /pirate-speak. Applies the persona to all replies until the user asks to stop. | Skills | |
v0.1.0 Write and run HTTP API tests in Hurl's plain-text format — requests, assertions, captures, CI reports, and executable API documentation Contains: hurl Write and run HTTP API tests in Hurl's plain-text format. Use when testing REST/GraphQL APIs, writing integration or smoke tests for HTTP endpoints, chaining requests with captured values, polling async APIs, converting curl commands into maintainable tests, or producing executable API documentation. Trigger on .hurl files, the hurl or hurlfmt CLI, jsonpath/xpath response assertions, or any ask to 'test an API' with a simple text-based tool. | Skills |
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