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.
49.409 skill-uri din 2.375 de depozite · actualizat acum 9 ore
49.409 skill-uri
- oma-securityfirst-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↓ —Apare și în 1 alt depozit
- oma-qafirst-fluke/oh-my-agentQuality assurance specialist for security, performance, accessibility, comprehensive testing, and quality standard alignment. Use for test, review, security audit, OWASP, coverage, lint work, and ISO/IEC 25010 or ISO/IEC 29119-aligned QA recommendations.TestareFără avertismente★ 1,4 K↓ —
- research-market-edge-casesgooseworks-ai/goose-skillsStep of the research-market playbook: rules for run edge cases such as no browser, stalled workers, earlier reports and late reads. Run research-market instead; not for direct use.ȘtiințăFără avertismente★ 1,3 K↓ —
- oma-searchfirst-fluke/oh-my-agentFind external documentation, web sources, or remote code with citations. Local code navigation uses the configured code tools.InginerieFără avertismente★ 1,4 K↓ —Apare și în 1 alt depozit
- openspec-update-changeMemeMeow-Studio/MemeMeowUpdate an OpenSpec change by revising its existing planning artifacts and keeping them coherent with one another. Use when the user wants to revise a change's plan, fold new decisions into it, or reconcile its artifacts after an edit. Never edits code.RedactareFără avertismente★ 1,3 K↓ —
- oma-marketfirst-fluke/oh-my-agentResearch customer pain points, trends, and competitors through the OMA market engine. Use for market discovery or voice-of-customer analysis.ȘtiințăFără avertismente★ 1,4 K↓ —Apare și în 2 alte depozite
- oma-scholarfirst-fluke/oh-my-agentScholarly research companion using Knows sidecar spec (.knows.yaml). Generates, validates, reviews, queries, and compares structured research-paper sidecars, and fetches them from knows.academy. Use for academic literature search, survey synthesis, paper authoring assistance, and peer review with token-efficient claim/evidence/relation access.ȘtiințăFără avertismente★ 1,4 K↓ —
- render-song-mvgooseworks-ai/goose-skillsAssemble a song-driven music-video ad from a config — a generated sung track carries the whole narration across N tableaux (one keyframe -> one i2v clip per lyric beat) with NO separate voiceover, captions synced to the song's OWN word timings (script-window, never Whisper) and the hook word landing on the chorus drop, closed on a PIL brand end card. This is the FREE deterministic assembly stage (clip cut-to-timeline + captions + end card + FFmpeg composite); the song, keyframes, and clips come from create-music-elevenlabs / create-image-fal / create-video-fal. Use for the song-driven-music-video format.MediaFără avertismente★ 1,3 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↓ —
- ru-checkhashgraph-online/awesome-codex-pluginsFull Russian text quality check against the whole corpus. Triggers: вычитай, вычитай через ru-text, прогони ru-text, проверь текст по ru-text, ru-check, полная вычитка. Use when the user asks to proofread Russian text, or when a project gate names ru-text. Returns findings with the rule behind each and a proposed replacement; never edits a file. Self-initiated runs start with a fast triage and escalate on evidence; an explicit request always runs the full corpus.RedactareFără avertismente★ 1,5 K↓ —Apare și în 1 alt depozit
- oma-dbfirst-fluke/oh-my-agentDesign schemas and migrations, tune queries, or plan vector retrieval and database operations. Application API implementation uses oma-backend.DateFără avertismente★ 1,4 K↓ —
- weekly-loophashgraph-online/awesome-codex-pluginsProduct weekly loop on the focus page: judge the last change, propose one next change with evidence.AlteleFără avertismente★ 1,5 K↓ —
- django-htmxhashgraph-online/awesome-codex-pluginsBuild and review HTMX interactions in Django server-rendered projects, especially generated django-saas-starter apps. Use when adding hx attributes, partial template responses, request.htmx branching, django-htmx response headers, forms, swaps, triggers, redirects, polling, boosted links or forms, or coordinating HTMX with Alpine.js local state.MediaFără avertismente★ 1,5 K↓ —
- open-designhashgraph-online/awesome-codex-pluginsUse Open Design as an external local-first design workbench for prototypes, decks, mobile screens, dashboards, DESIGN.md systems, and exportable visual artifacts. Keep TSP responsible for team workflow, handoff, and quality gates.DesignFără avertismente★ 1,5 K↓ —
- steinwallhashgraph-online/awesome-codex-pluginsSteinWall cost, savings and safety information, and a security check for extensions. Use when the user asks what the coding agent costs today or this month, how much budget is left, what was blocked or saved, or before installing a skill, plugin or MCP server ("is this safe to install?", "check this skill").SecuritateFără avertismente★ 1,5 K↓ —
- product-video-hooksNouhashgraph-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↓ —
- run-workhashgraph-online/awesome-codex-pluginsExecute a work unit end-to-end: sequence tasks by dependency, implement, test between tasks, commit, and track progress. Use to deliver a complete feature in one session. Invoked as /agiflow:run-work <work-unit>. Uses get_work_unit, list_tasks, update_task, get_work_unit_progress.TestareFără avertismente★ 1,5 K↓ —
- make-product-photosgooseworks-ai/goose-skillsUse when the marketer says: studio photos of my product without a shoot, product photos for my store page, packshots on white, lifestyle or on-model shots, photos for the new colourway, fresh product imagery for ads, photos for our launch page, our packaging changed — redo the photos, I have no photographer. Delivers store-ready product photos generated from the brand's real product photos: a shot list built from the page slots (hero, alt angle, scale, detail, in use, lifestyle, on-model), only real photos of this product as references, matched to the brand's photography, every shot checked against the real product for shape, parts, logo, text, colour, finish, scale and honest representation, with a keep / maybe / reject verdict and a page order. The human picks the keepers. Never uploads to a store, never shows a size, part, feature or result the product lacks. Not for ads with text, infographics or screenshots — make-static-ads; not for marketplace listing sets (not covered yet).MediaFără avertismente★ 1,3 K↓ —
- 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↓ —
- runtypehashgraph-online/awesome-codex-pluginsScope a Runtype project or set up platform access; route implementation to the relevant Runtype skill.AlteleFără avertismente★ 1,5 K↓ —
- varg-tryon-videoNouhashgraph-online/awesome-codex-pluginsTurns a flat-lay or product photo of clothing into a try-on video on varg: clean the garment photo, dress a model photo in it with Bria Virtual Try-On (or a Nano Banana / GPT Image edit for harder garments), keep the same model across shots, then animate fit-check motions that sell clothes (slow turn, tug and let fall, walk to camera, mirror selfie, fabric close-up) on Kling 4 or Seedance 2.5 with the garment kept intact, and add size captions so the fit is honest. Use when a fashion or apparel seller (Shopify, TikTok Shop, Amazon, dropshipping) asks for a try-on video, "my clothes on a model", an AI model wearing their product, a fit-check or outfit video, a try-on haul, or virtual try-on from flat-lays. Not for accessories that need no body (use product-photo-to-video) or for consistent characters across a story (varg-character-design).MediaFără avertismente★ 1,5 K↓ —
- varg-video-editingNouhashgraph-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, the varg ffmpeg tool, Rendi), talking-head cleanup (silence and filler cuts from word timestamps: auto-editor, Descript, ElevenLabs Scribe, Groq Whisper), long video to Shorts (OpusClip, or transcript + Gemini + FFmpeg), captions and subtitles (ASS through FFmpeg, Remotion, HyperFrames, Submagic, ZapCap), assembling from a timeline or template (HyperFrames, Remotion, Shotstack, Creatomate), AI edits that restyle, swap people, relight or extend (varg Recast/Relight/ID-V2V, Runway Aleph, Luma Ray, Wan VACE), dubbing and lip sync (HeyGen, ElevenLabs Dubbing, Sync Labs), upscaling, slow motion and background removal (Topaz, SeedVR, Bria), finding moments and QA (Gemini, varg video-analyze, Twelve Labs, VideoDB), and handing the cut to DaVinci Resolve, Premiere or Final Cut. Use when someone asks to edit, cut, trim, shorten, clip, reframe, caption, subtitleMediaFără avertismente★ 1,5 K↓ —
- run-taskhashgraph-online/awesome-codex-pluginsExecute a single Todo task through In Progress to Review, meeting every acceptance criterion with tests and vibe-lint checks. Refuses Planning-status tasks. Invoked as /agiflow:run-task <task>. Uses get_task, update_task, create_task_comment.ProductivitateFără avertismente★ 1,5 K↓ —
- scrum-masteralirezarezvani/claude-skillsUse for sprint and team analytics: velocity forecasts, sprint health, retrospectives, burndown or blockers. Forecasts with velocity_analyzer.py (Monte Carlo), scores with sprint_health_scorer.py and tracks retro actions with retrospective_analyzer.py.DateFără avertismente★ 29,2 K↓ —
nejm-statistics
brycewang-stanford/Awesome-Journal-Skills
TestareActualizat 27 sept. 2026
De la autor
Use to enforce NEJM's clinical statistical reporting — confidence intervals over bare P values, the pre-specified intention-to-treat primary analysis, multiplicity control for secondary endpoints, pre-specified subgroups with interaction tests, missing-data handling, and absolute risk with NNT alongside relative measures.
Instalare
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill nejm-statistics -a claude-code
Se instalează în .claude/skills/nejm-statistics/ · 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
Doar instrucțiuniNu am văzut acces la rețeaLicență: MIT
Verificări de siguranță pe SKILL.md
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De ce 88
Securitate100
Proveniență77
Întreținere100
Licență100
Adopție50
Fișiere (1)
- SKILL.md