Skill-uri pentru agenți pe care le poți verifica înainte să le instalezi
Skill-uri SKILL.md publice din depozite GitHub cu peste 50 de stele și de la producători, scanate și evaluate. Instalează oricare dintre ele cu o singură comandă în Claude Code, Cursor, Codex, GitHub Copilot sau Gemini CLI.
48.622 de skill-uri din 2.355 de depozite · actualizat acum 13 ore
47.548 de skill-uri
- checkhashgraph-online/awesome-codex-pluginsFriendly docflow readiness check: one status, one reason, and the exact next command. Use when asked if docflow is set up, ready, or "what do I do next".AlteleFără avertismente★ 1,5 K↓ —
- layout-gridNoudaveebbelaar/bamaGrid and alignment rules for a macOS SwiftUI app, with three checks that catch misalignment (a lint for off-grid numbers, a layout probe that measures real frames in snapshot mode, and a grid overlay). Use when building or reviewing a custom page, card, row, form, or sheet, after every build that touched layout, or when the user says something looks misaligned, crooked, cramped, or unevenly spaced.AlteleFără avertismente★ 1,2 K↓ —
- <provider-id>Anil-matcha/awesome-muse-connectors<What it does, one line>. Trigger phrases: <phrases>.AlteleFără avertismente★ 1,4 K↓ —
- budget-buildermohitagw15856/pm-claude-skillsBuild a realistic personal monthly budget from someone's income and expenses. Use when asked to make a budget, plan monthly spending, allocate income, or get finances under control. Produces a categorized budget (a 50/30/20-style allocation tuned to their reality), a surplus/shortfall number, and concrete next moves. Educational, not regulated financial advice.FinanțeFără avertismente★ 1,5 K↓ —
- researchtaishi-i/awesome-japanese-nlp-resourcesAnalyze current trends and challenges in Japanese NLP for a topic. Surveys the existing awesome-japanese-nlp-resources dataset and augments it with up-to-the-minute web research to produce a combined trend + issue report. Use only when the user explicitly wants a trend/landscape report, a challenges/limitations report, or a general research overview of a Japanese NLP topic (this combines the bundled dataset with live web research). Trigger phrases include '日本語LLMの最新トレンド', '〜の動向をまとめて', '最近の日本語NLPの流れ', '日本語LLMの課題', '〜の問題点・限界', '未解決の論点', 'trend report on Japanese embeddings', 'latest Japanese speech models', 'challenges in Japanese NER', 'limitations of Japanese embeddings'. For a simple lookup use the search skill; this one runs web research.ȘtiințăFără avertismente★ 1 K↓ —
- add-containerNouajnart/self-hostDCM Container work. Use to add or edit a Container in dcm/src/tools/, including an issue labelled `container` and then `accepted`, and the pull request dcm-add-container.yml opens from it. A Container is a compose snippet DCM offers for a product the Catalog does not install. Catalog Apps go to edit-catalog.RedactareFără avertismente★ 1,5 K↓ —
- refactoring-guruciembor/agent-rules-booksApply Refactoring.Guru-inspired rules when diagnosing code smells, choosing refactoring techniques, and stopping cleanup before uncontrolled redesign.InginerieFără avertismente★ 3,2 K↓ —
- ai-feature-prdmohitagw15856/pm-claude-skillsWrite a PRD for an AI-powered feature, covering the things normal PRDs miss. Use when asked to spec an AI/LLM feature, write a PRD for a feature that uses a model, or plan an AI capability (assistant, summarizer, generator, classifier). Produces an AI feature PRD — problem & UX of uncertainty, model approach, eval criteria, guardrails, fallback behaviour, the data flywheel, and cost/latency budget.PlanificareFără avertismente★ 1,5 K↓ —
- pinme-authglitternetwork/pinmeUse when a PinMe project (Worker TypeScript) needs to integrate user authentication — creating email/password users, verifying id_tokens, querying user info, or listing users via Identity Platform auth proxy APIs.InginerieFără avertismente★ 3,8 K↓ —
- oma-debugNoufirst-fluke/oh-my-agentDiagnose a reproducible failure, fix its cause, and verify the regression. Use for crashes, incorrect behavior, and failing tests.InginerieFără avertismente★ 1,4 K↓ —
- comparetaishi-i/awesome-japanese-nlp-resourcesCompare several Japanese NLP libraries, models, or datasets for a keyword (a specific tool name, or a function/task like '形態素解析') across a handful of criteria chosen for that comparison, rendered as a ○/△/✕ table. Use when the user wants a side-by-side comparison of multiple Japanese NLP tools/libraries/datasets, not just the single best one. Trigger phrases include 'X と Y と Z を比較して', '形態素解析ライブラリを比較', 'MeCab と Sudachi どっちがいい', 'どのツールを使うべき', 'compare japanese tokenizers', 'mecab vs sudachi vs janome', 'which embedding model should I use', '日本語NERライブラリの比較表', 'pros and cons of japanese OCR tools'. For a single ranked list use search; for alternatives to one specific tool (or contribution candidates) without a multi-axis table, use discover.MediaFără avertismente★ 1 K↓ —
- searchtaishi-i/awesome-japanese-nlp-resourcesSearch all Japanese NLP resources (libraries, models, datasets, tutorials, dictionaries, Hugging Face). Accepts keywords or natural language questions in any language. Use whenever the user asks which Japanese NLP resource to use, or wants to find one: tokenizers / morphological analyzers, BERT or LLM models, embeddings, NER, text classification, datasets / corpora, dictionaries, tutorials, or Hugging Face models. Trigger phrases include '日本語の形態素解析ライブラリ', 'おすすめの日本語tokenizer', '日本語BERTモデル', '日本語の感情分析データセット', '日本語LLM 一覧', 'which Japanese embedding model', 'Japanese NER library'.AlteleFără avertismente★ 1 K↓ —
- discovertaishi-i/awesome-japanese-nlp-resourcesGiven a Japanese NLP GitHub repo/model/dataset (URL / owner/repo / tool name) OR a topic, find what's already in awesome-japanese-nlp-resources and discover related resources NOT yet listed (contribution candidates). Mines the bundled dataset, then expands via web research across GitHub and Hugging Face. Use when the user names a SPECIFIC repository, model, or tool and wants alternatives/equivalents, OR wants to discover Japanese NLP resources for a topic that are NOT yet in the list, OR wants to prepare a contribution. Trigger phrases include 'mecabに似たツール', 'fugashiの代替', 'alternatives to fugashi', 'repos like manga-ocr', 'what else is like sudachi', 'リストに無い新しい日本語NLP', 'awesome-japanese-nlpに追加できそうな', '最近公開された日本語NLPツール', 'find unlisted Japanese NLP repos', 'new Japanese models on Hugging Face', 'contribute a new resource'. For a simple lookup of what already exists, use the search skill instead.ȘtiințăFără avertismente★ 1 K↓ —
- oma-docsNoufirst-fluke/oh-my-agentCheck documentation references, sync docs to code changes, and detect translation drift. Use for documentation maintenance in a repository.InginerieFără avertismente★ 1,4 K↓ —
- resolve-relative-timesno-ai/sno-stationUnderstand temporal meaning in context without performing calendar arithmetic.ProductivitateFără avertismente★ 1,1 K↓ —
- edit-catalogNouajnart/self-hostCatalog edits in Go. Use for any task that adds an App, changes an App's image, port, Compose, env, notes or StandaloneGuide (even a one-line image bump), changes a Recipe, or hides or unhides an App. Each of these changes generated site and DCM data and hand-kept App counts. DCM-only Containers go to add-container; Homarr wiring goes to docs/agents/homarr-integrations.md.RedactareFără avertismente★ 1,5 K↓ —
- nopua-zhwuji-labs/nopuaThe anti-PUA. Drives AI with wisdom, trust, and inner motivation instead of fear and threats. Activates on: task failed 2+ times, about to give up, suggesting user do it manually, blaming environment unverified, stuck in loops, passive behavior, or user frustration ('try harder', 'figure it out', '换个方法', '为什么还不行'). ALL task types. Not for first failures.ProductivitateFără avertismente★ 1,4 K↓ —
- nopua-litewuji-labs/nopuaNoPUA Lite — core wisdom in ~1.5k tokens. Drives AI with trust and inner motivation instead of fear. Same Daoist philosophy, minimal footprint. For personal use and small-context models.ProductivitateFără avertismente★ 1,4 K↓ —
- vercel-react-best-practicesCloudAI-X/claude-workflow-v2React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.InginerieFără avertismente★ 1,4 K↓ —
- oma-tf-infraNoufirst-fluke/oh-my-agentCreate or review Terraform infrastructure and plans. Use for cloud resources, IAM, networking, state management, and infrastructure changes.DevOpsFără avertismente★ 1,4 K↓ —
- oma-securityNoufirst-fluke/oh-my-agentScan application source, agent skills, and MCP components; run penetration tests against scoped web test deployments, validate findings, and configure scan gates. Use oma-qa for broad quality reviews and domain skills for remediation.SecuritateFără avertismente★ 1,4 K↓ —
- parallel-executionCloudAI-X/claude-workflow-v2Patterns for parallel subagent execution using the Agent tool (formerly Task). Use when coordinating multiple independent tasks, spawning dynamic subagents, or implementing features that can be parallelized.ProductivitateFără avertismente★ 1,4 K↓ —
- designing-apisCloudAI-X/claude-workflow-v2Designs REST and GraphQL APIs including endpoints, error handling, versioning, and documentation. Use when creating new APIs, designing endpoints, reviewing API contracts, or when asked about REST, GraphQL, or API patterns.InginerieFără avertismente★ 1,4 K↓ —
- designing-testsCloudAI-X/claude-workflow-v2Designs and implements testing strategies for any codebase. Use when adding tests, improving coverage, setting up testing infrastructure, debugging test failures, or when asked about unit tests, integration tests, or E2E testing.TestareFără avertismente★ 1,4 K↓ —
browser-automation
alirezarezvani/claude-skills
BrowserActualizat alaltăieri
De la autor
Use for browser automation, scraping, form filling or structured extraction from web pages. Builds scrapers with scraping_toolkit.py and form flows with form_automation_builder.py. Browser testing: playwright-pro.
Instalare
npx skills add alirezarezvani/claude-skills --skill browser-automation -a claude-code
Se instalează în .claude/skills/browser-automation/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Descarcă .zip
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
La ce are acces
Rulează scripturile incluseNu am văzut acces la rețeaLicență: MIT
Verificări de siguranță pe SKILL.md
- Include scripturi pe care nu le-am verificatScăzut
De ce 88
Securitate85
Proveniență94
Întreținere100
Licență100
Adopție69
Fișiere (7)
- SKILL.md
- references/anti_detection_patterns.md
- references/data_extraction_recipes.md
- references/playwright_browser_api.md
- scripts/anti_detection_checker.py
- scripts/form_automation_builder.py
- scripts/scraping_toolkit.py