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.
49.538 de skill-uri din 2.407 depozite · actualizat acum 31 de minute
49.536 de skill-uri
- cloudbase-code-reviewTencentCloudBase/CloudBase-AI-ToolkitCode review and validation for CloudBase projects. After writing code for Web / miniprogram / CloudRun / cloud-function projects, call this skill to check for known pitfalls — auth guard misuse, missing database tables, RLS misconfiguration, storage domain setup, and SDK API misuse. Supports automated lint scripts (regex-based) + LLM semantic review.InginerieFără avertismente★ 1,2 K↓ —Apare și în 5 alte depozite
- varg-mockupsNouhashgraph-online/awesome-codex-pluginsMock up a video before paying for it: one self-contained HTML board (storyboard board, moodboard, reference board, look test, plan page, contact sheet) with numbered frames, shot specs, prompts, approve / needs-fix / reject and a note per frame, side-by-side variants and feedback copied as Markdown; stills made on varg (Nano Banana 2.1, GPT Image 2.5) that do not look like AI slop and stay consistent (character sheets, environment master first, same lens and light); device and app UI mockups (iMessage chat, Apple Notes, iPhone fold, phone stamp carousel, terminals, code editors). Use for "mock up", "mock up a look", "mockup", "storyboard board", "moodboard", "reference board", "look test", "stills for approval", "key frames to approve", "shot board", "phone mockup", "app UI mockup", "screen mockup", or stills that look like AI slop or drift between shots. Not for final video clips (varg-video-prompting) or 3D camera blocking (threejs-animatic).TestareFără avertismente★ 1,5 K↓ —
- 02-ref-hallucination-arenaagentscope-ai/OpenJudgeBenchmark LLM reference recommendation capabilities by verifying every cited paper against Crossref, PubMed, arXiv, and DBLP. Measures hallucination rate, per-field accuracy (title/author/year/DOI), discipline breakdown, and year constraint compliance. Supports tool-augmented (ReAct + web search) mode. Use when the user asks to evaluate, benchmark, or compare models on academic reference hallucination, literature recommendation quality, or citation accuracy.ȘtiințăFără avertismente★ 1,1 K↓ —
- oma-pmfirst-fluke/oh-my-agentTurn product requirements into scoped tasks with dependencies and acceptance criteria. Use for implementation planning and prioritization.PlanificareFără avertismente★ 1,4 K↓ —
- design-routerhashgraph-online/awesome-codex-pluginsUse when the user asks to build, design, mock up, scaffold, audit, translate, or improve any interface, flow, screen, page, component, app, UX, onboarding, checkout, dashboard workflow, product flow, design system, asset plan, motion plan, or non-generic UI and the target platform or flow is ambiguous. Routes to ux-design, web, Windows, Apple, Android, cross-platform, design-token, originality, asset/reference, and platform skills. SKIP when the request explicitly names one platform and no UX flow work is implied.DesignFără avertismente★ 1,5 K↓ —
- md-reviewalirezarezvani/claude-skillsUse when converting a markdown code review with diff blocks and severity callouts into a two-column HTML review. Parses diffs with diff_parser.py and annotations with annotation_extractor.py; requires a named reviewer.InginerieFără avertismente★ 29,3 K↓ —
- transcript-intelligenceScrapeCreators/social-media-research-skillsUse when the user wants to summarize, analyze, or repurpose transcripts from TikTok, Instagram, YouTube, Facebook, X/Twitter, LinkedIn, Rumble, or Reddit video posts. Extracts hooks, claims, quotes, content atoms, themes, and reusable scripts.MediaFără avertismente★ 5,7 K↓ —
- varg-video-editinghashgraph-online/awesome-codex-pluginsWhich service to edit an existing video with, and how to edit it without breaking it. A routing guide for ten editing jobs: cut, trim, resize and join (FFmpeg, Rendi), talking-head cleanup (silence and filler cuts), long video to Shorts (OpusClip, or transcript + FFmpeg), captions and subtitles (ASS through FFmpeg, HyperFrames, Submagic), assembling from a timeline or template (HyperFrames, Shotstack), AI edits that restyle, swap people, relight or extend (varg Recast/Relight, Runway Aleph), dubbing and lip sync (HeyGen, ElevenLabs, Sync Labs), upscaling, slow motion and background removal (Topaz, Bria), finding moments and QA (Gemini, Twelve Labs), and handing off to Resolve, Premiere or Final Cut. Use when someone asks to edit, cut, trim, shorten, clip, reframe, caption, subtitle, translate, dub, lip-sync, upscale, restyle or clean up footage they already have, or asks which tool or API to edit video with. Not for making a video from a brief (varg-ai and the format skills).MediaFără avertismente★ 1,5 K↓ —
- research-competitors-edge-casesgooseworks-ai/goose-skillsStep of the research-competitors playbook: rules for run edge cases such as no browser, stalled workers, earlier reports and late reads. Run research-competitors instead; not for direct use.ȘtiințăFără avertismente★ 1,3 K↓ —
- app-authfcakyon/claude-codex-settingsThis skill should be used when the user asks to "standardize app authentication", "share login across web, mobile and TV", "reuse the Google login flow", "simplify signup", "fix password recovery", or "fix popup-blocked login". Use shared account/session contracts, email and Google web adapters, and an optional auth panel. Native and TV flows are integration contracts awaiting device validation.ProductivitateFără avertismente★ 1,2 K↓ —
- icdt-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when deciding what counts as evidence for an ICDT (International Conference on Database Theory) result — matching-bound complexity analysis as the primary evidence, worked examples and counterexamples that establish separations, and, only for papers with an algorithmic contribution, a proportional and honestly-scoped experimental evaluation that does not pretend to be the contribution.DateFără avertismente★ 1,4 K↓ —
- email-lifecycle-lifecycle-auditgooseworks-ai/goose-skillsStep of the email-lifecycle playbook: audits list, consent, live flows, recent sends and sending setup, marking every item verified, from-you or unknown. Run email-lifecycle instead; not for direct use.ProductivitateFără avertismente★ 1,3 K↓ —
- 00-academic-routeragentscope-ai/OpenJudgeUse when the user wants help with academic papers or citations but it's unclear which specific workflow fits — reviewing a paper, checking a BibTeX file for fake references, or benchmarking multiple LLMs on reference-recommendation accuracy. Also use when the user mentions paper review, peer review, BibTeX verification, citation checking, reference hallucination, or academic literature accuracy and hasn't specified which of those three tasks they mean. This skill is the entry router for the academic-eval suite: it asks one diagnostic question then routes to the right sub-skill.ȘtiințăFără avertismente★ 1,1 K↓ —
- plan-campaigngooseworks-ai/goose-skillsCampaign planner: turns a product, offer, goal, budget and date into a plan the marketer can approve and a designer can start from today, with every channel kept or dropped for a reason. Zero paid is a valid answer; it never spends. Use when the ask names a campaign, a launch, drop or season push, a budget or a date: I have this budget and a launch date — what do I run, where?; plan my launch, drop or Black Friday push; plan a campaign; how should I split $5k; plan next month's campaign; our CAC blew up — replan. Not for a broad "grow my brand", "get more customers" or "where do I start" with no campaign, budget or date — use where-to-start; not for pausing ads on a sold-out product — use run-paid-campaigns; not for an email-only send plan — use email-lifecycle; not for reading this week's numbers — use analyze-performance.MarketingFără avertismente★ 1,3 K↓ —
- metric-designagentscope-ai/OpenJudgeUse when the user has evaluation principles or a dataset but needs help choosing the right graders, designing evaluation metrics, creating LLM-as-judge prompts, combining multiple metrics into a composite score, or building an automated evaluation pipeline. Also use when the user mentions grader selection, metric design, judge prompt engineering, rubric design, evaluation pipeline code, or "how to evaluate [X] automatically." Outputs executable OpenJudge pipeline code.DesignFără avertismente★ 1,1 K↓ —
- retention-strategykostja94/marketing-skillsWhen the user wants to reduce churn, improve customer retention, or plan lifecycle marketing. Also use when the user mentions "retention," "churn," "customer lifecycle," "churn prevention," "at-risk customers," or "loyalty program." For lifecycle, use growth-funnel.MarketingFără avertismente★ 1,1 K↓ —
- 01-paper-reviewagentscope-ai/OpenJudgeReview academic papers for correctness, quality, and novelty using OpenJudge's multi-stage pipeline. Supports PDF files and LaTeX source packages (.tar.gz/.zip). Covers 10 disciplines: cs, medicine, physics, chemistry, biology, economics, psychology, environmental_science, mathematics, social_sciences. Use when the user asks to review, evaluate, critique, or assess a research paper, check references, or verify a BibTeX file.ȘtiințăFără avertismente★ 1,1 K↓ —
- eval-reportagentscope-ai/OpenJudgeUse when the user has run multiple evaluation skills and wants a comprehensive analysis — maturity assessment, cross-skill signals, trends, prioritized actions, and an executive summary. Also use when the user mentions eval health check, evaluation audit, ship readiness, evaluation maturity, or "how good is my evaluation system itself." This is a read-only analysis skill.ProductivitateFără avertismente★ 1,1 K↓ —
- ccs-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing an ACM CCS submission for HotCRP readiness, dual-cycle abstract registration and full-paper deadlines, the 12-page ACM sigconf body, anonymization, the ethics considerations appendix, artifact-availability posture, dual-submission policy, per-cycle submission caps, desk-reject triggers, and final-week sequencing.ȘtiințăFără avertismente★ 1,4 K↓ —
- patentalirezarezvani/claude-skillsUse for prior-art search, freedom-to-operate, patent landscape, acquisition diligence or litigation prior art. Picks the use case with sub_use_case_router.py, searches Google Patents, Espacenet and USPTO and writes a .docx; not legal advice.DocumenteFără avertismente★ 29,3 K↓ —
- product-video-hookshashgraph-online/awesome-codex-pluginsTurn a product into scroll-stopping video hooks. Writes the first 3 seconds of TikTok, Reels and Meta product videos as three agreeing layers (what is on screen, the spoken line, the text overlay), from the buyer's own words, across 20+ hook types taken from Meta's Hooks Menu, Motion's 2026 hook data, Hormozi's callouts and the TikTok openers that spread in 2026 (late discovery, compliment then reveal, problem and fix in one clip, reply to a comment). It matches each hook to the buyer's awareness, checks it against platform claim rules, and, when footage exists, makes one MP4 per hook for testing. Use when someone asks for hooks, openers, the first 3 seconds, a better intro, or new hook variants for a product video or ad. NOT for whole ad plans (use ecommerce-video-ads), generating a viral-style product-in-use hook clip from photos (use varg-product-hook), app or SaaS hooks, or YouTube titles and thumbnails.MediaFără avertismente★ 1,5 K↓ —
- planning-with-filesOthmanAdi/planning-with-filesPersistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.PlanificareFără avertismente★ 27,9 K↓ —
- podc-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when building the evidence for an ACM PODC paper — where "evidence" is a proof, not a benchmark. Covers matching upper and lower bounds, tightness arguments, model and assumption stress-tests, adversary-strength calibration, and the honest, clearly-optional role of any simulation in a distributed-computing-theory paper.TestareFără avertismente★ 1,4 K↓ —
- krexahashgraph-online/awesome-codex-pluginsUse this skill when the user wants to research a trading idea, or turn an idea, post, reel or video into a tested strategy and deploy it as a live trading agent on Krexa. Covers Solana spot and tokenized stocks (xStocks), perps (Hyperliquid, Jupiter Perps, Polymarket Perps), Polymarket prediction markets, and perps in the user's own Binance, Bybit, OKX, Kraken or Coinbase account. Krexa runs the research, backtests and agents on its own servers and enforces trading limits in code. The key can ask for a deploy but cannot move money; the user approves every live deploy in the Krexa app.DevOpsFără avertismente★ 1,5 K↓ —
tdd-guide
alirezarezvani/claude-skills
De la autor
Test-first development and test generation for Jest, Pytest, JUnit, Vitest or Mocha: red-green-refactor, fixtures and mocks, coverage gaps. Use whenever the user asks to write tests (before or after the code), mock a dependency or raise coverage.
Instalare
npx skills add alirezarezvani/claude-skills --skill tdd-guide -a claude-code
Se instalează în .claude/skills/tdd-guide/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
La ce are acces
Verificări de siguranță pe SKILL.md
- Include scripturi pe care nu le-am verificatScăzut
De ce 88
Fișiere (18)
- HOW_TO_USE.md
- README.md
- SKILL.md
- assets/expected_output.json
- assets/sample_coverage_report.lcov
- assets/sample_input_python.json
- assets/sample_input_typescript.json
- references/ci-integration.md
- references/framework-guide.md
- references/tdd-best-practices.md
- scripts/coverage_analyzer.py
- scripts/fixture_generator.py
- încă 6