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.
49.105 skill-uri din 2.358 de depozite · actualizat acum 2 ore
48.055 de skill-uri
- ad-creative-testingNouhashgraph-online/awesome-codex-pluginsTurn one winning ad into a creative testing plan for TikTok and Meta. Decodes why an ad won (hook, argument, buyer, format), plans concepts that Meta's Andromeda and TikTok treat as genuinely different (buyer × angle × format × first frame, not caption swaps), sets how many creatives to launch, the budget per test and when to judge, writes file and ad names that make results readable, reads hook rate, hold rate, CTR and CPA to find which part failed, and says when to kill, iterate or scale. Use when someone asks how many ads to test, how to make ad variants, why their variants all perform the same, whether an ad is fatigued, when to kill an ad, or how to scale a winner. NOT for producing the videos (use ecommerce-video-ads, ecommerce-video-edit or product-video-hooks) or for media-buying account setup.TestareFără avertismente★ 1,5 K↓ —
- product-researchalirezarezvani/claude-skillsUse when planning or synthesizing user research: choosing the method, deciding how many participants, or turning coded notes into insights. Runs study_designer.py, saturation_planner.py and insight_synthesizer.py, which refuses single-source insights.ȘtiințăFără avertismente★ 29,2 K↓ —
- ru-texthashgraph-online/awesome-codex-pluginsRussian text quality. Triggers: вычитай, проверь текст, поправь, отредактируй, причеши, ru-text. Typography silently on any Russian output; deeper editing on request. Info-style, editorial, UX writing, business correspondence, AI-text cleanup.DesignFără avertismente★ 1,5 K↓ —Apare și în 1 alt depozit
- the-open-housemohitagw15856/pm-claude-skillsSimulate the open house and the listing agent's read of you — the questions that profile your budget and urgency, the staging that hides what inspection finds, and the offer-pressure choreography, run before you fall in love with anything. Use when asked what is the listing agent thinking, practice viewing a house, what should I not say at an open house, or simulate the offer pressure. Produces the walkthrough transcript with the agent's private profile of you, the what-the-staging-hides checklist, and a debrief on information discipline — what to ask, what to never volunteer.AlteleFără avertismente★ 1,5 K↓ —
- hf-cloud-python-env-setuphuggingface/skillsSet up an isolated Python environment for SageMaker / AWS work, with the right Python version and current boto3. Use this skill whenever Python code will be executed for a SageMaker deployment, training job, or any AWS automation — including when about to run `pip install`, when about to invoke `boto3`, when creating or activating a virtualenv, or when the user asks to "set up the environment". Never use system Python and never `pip install` into it. Always isolate. This skill prevents the most common failure modes: wrong Python version, dependency conflicts, and stale SDKs.OficialInginerieFără avertismente★ 11,3 K↓ —
- huggingface-vision-trainerhuggingface/skillsTrains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus any Transformers classifier), and SAM/SAM2 segmentation using Hugging Face Transformers on Hugging Face Jobs cloud GPUs. Covers COCO-format dataset preparation, Albumentations augmentation, mAP/mAR evaluation, accuracy metrics, SAM segmentation with bbox/point prompts, DiceCE loss, hardware selection, cost estimation, Trackio monitoring, and Hub persistence. Use when users mention training object detection, image classification, SAM, SAM2, segmentation, image matting, DETR, D-FINE, RT-DETR, ViT, timm, MobileNet, ResNet, bounding box models, or fine-tuning vision models on Hugging Face Jobs.OficialMediaFără avertismente★ 11,3 K↓ —
- huggingface-community-evalshuggingface/skillsRun evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware. Use for backend selection, local GPU evals, and choosing between vLLM / Transformers / accelerate. Not for HF Jobs orchestration, model-card PRs, .eval_results publication, or community-evals automation.OficialAlteleFără avertismente★ 11,3 K↓ —
- baoyu-markdown-to-htmlActualizatJimLiu/baoyu-skillsConverts Markdown to styled HTML with WeChat-compatible themes. Supports code highlighting, math, Mermaid (rendered to PNG via headless Chrome), PlantUML, footnotes, alerts, infographics, and optional bottom citations for external links. Use when user asks for "markdown to html", "convert md to html", "md 转 html", "微信外链转底部引用", or needs styled HTML output from markdown.BrowserFără avertismente★ 27,2 K↓ —
- agentic-tddreticlehq/reticleTest-driven development for behaviour a unit test cannot reach, by writing the expectation against the running app before writing the code. Declare the consequence first, watch it fail, implement, watch it pass. Use when building a user-facing feature, when the user asks for TDD on UI or full-stack work, when a unit test cannot express the outcome that matters, or when you want a red-green loop that runs against the real app instead of mocks.TestareFără avertismente★ 1,3 K↓ —
- huggingface-paper-publisherhuggingface/skillsPublish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.OficialȘtiințăFără avertismente★ 11,3 K↓ —
- train-sentence-transformershuggingface/skillsTrain or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder, dense or static embedding model for retrieval, similarity, clustering, classification, paraphrase mining, dedup, multimodal), `CrossEncoder` (reranker, pair scoring for two-stage retrieval / pair classification), `SparseEncoder` (SPLADE, sparse embedding model for learned-sparse retrieval), and `MultiVectorEncoder` (ColBERT / late-interaction, per-token embeddings scored with MaxSim). Covers loss selection, hard-negative mining, evaluators, distillation, LoRA, Matryoshka, and Hugging Face Hub publishing. Use for any sentence-transformers training task.OficialProductivitateFără avertismente★ 11,3 K↓ —
- tdd-guidealirezarezvani/claude-skillsUse when writing tests first, generating tests, fixtures or mocks, or closing coverage gaps in Jest, Pytest, JUnit, Vitest or Mocha. Drives red-green-refactor with tdd_workflow.py, generates tests with test_generator.py and reads coverage with coverage_analyzer.py.TestareFără avertismente★ 29,2 K↓ —
- improve-architecturedaveebbelaar/bamaArchitecture check-in for a growing macOS Swift codebase. Finds hot spots, proposes deeper modules, and refactors one step per commit with behavior proven unchanged. Use at the end of a milestone, before a big feature, when a file passes 600 lines, when one feature touches many files, when bugs repeat in one area, or when the user asks to refactor or clean up the code.PlanificareFără avertismente★ 1,4 K↓ —
- create-prActualizatfcakyon/claude-codex-settingsThis skill should be used when user asks to "create a PR", "make a pull request", "open PR for this branch", "submit changes as PR", "push and create PR", or explicitly invokes "create-pr".InginerieFără avertismente★ 1,2 K↓ —
- review-prfcakyon/claude-codex-settingsThis skill should be used when user asks to "review a PR", "review pull request", "review this pr", "code review this PR", "check PRInginerieFără avertismente★ 1,2 K↓ —
- yolo-trainingfcakyon/claude-codex-settingsThis skill should be used when user asks to "improve my mAP", "why is my model overfitting", "my training is diverging", "read my results.csv", "interpret my training curves", "my AP50 is good but AP50-95 is bad", "my recall is low", "how do I pick learning rate", "which augmentations should I use", "should I use a bigger model", "tune hyperparameters", or asks how to train YOLO26 for detection, instance or semantic segmentation, pose, OBB, classification, or depth.DateFără avertismente★ 1,2 K↓ —
- report-issuemicrosoft/power-platform-skillsUse this skill when the user wants to "report a bug", "file an issue", "report an issue", "submit a bug report", or report any problem with the mcp-apps plugin to the GitHub repository.AlteleFără avertismente★ 1,1 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; agent instructions read selected project planning context when invoked. 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. This adapter registers no lifecycle or Stop hook, never requests continuation, 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★ 27,8 K↓ —
- mcp-stdio-markeralibaba/skill-upMCP stdio marker smoke skill used by skill-up e2e tests.TestareFără avertismente★ 1,4 K↓ —
- evalhashgraph-online/awesome-codex-pluginsEval-Driven Development (EDD) for AI workflows. pass@k metrics, capability evals, regression evals. Triggers: eval, edd, pass@k, capability, regression, benchmark.AlteleFără avertismente★ 1,5 K↓ —
- minutes-briefsilverstein/minutesFast non-interactive briefing before any meeting — auto-detects your next calendar event, pulls relationship history, surfaces open commitments, and produces a one-page brief in under 30 seconds. Use this whenever the user says "brief me", "give me a quick brief", "what's coming up", "background on my next call", "who am I meeting next", "brief me on Sarah", "I have a call in 10 min", "quick rundown", or right before walking into a meeting. Different from /minutes-prep — brief is the fast hook-fireable version that doesn't ask questions and doesn't set goals. Use brief when speed matters; use prep when the user wants to think hard about goals first.ProductivitateFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- agentlas-browseragentlas-ai/Agentlas-OSUse the Agentlas browser hardpoint for browser-required work.BrowserFără avertismente★ 1,6 K↓ —
- Invalid_Namefirst-fluke/oh-my-agentA specialist team for the coding agent you already use: 12 roles, 21 workflows and 33 skills that plan, build in parallel, review and debug, leaving plans, ADRs and results as files. Gates wait for your own tests. Also research, slides and video. One .agents/ folder for Claude Code, Codex, Cursor and 11 more.TestareFără avertismente★ 1,4 K↓ —
- oma-observabilityfirst-fluke/oh-my-agentDesign or troubleshoot telemetry, SLOs, and incident diagnostics. Route to the relevant signal, system boundary, or vendor guide.DevOpsFără avertismente★ 1,4 K↓ —Apare și în 1 alt depozit
minutes-list
silverstein/minutes
PlanificareActualizat acum 7 ore
De la autor
List recent meetings and voice memos. Use when the user asks "what meetings did I have", "show my recent recordings", "any meetings today", "list my voice memos", or wants an overview of their meeting history. Also use when they need to find a specific meeting by browsing rather than searching.
Instalare
npx skills add silverstein/minutes --skill minutes-list -a claude-code
Se instalează în .claude/skills/minutes-list/ · 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
Niciun avertisment.
De ce 88
Securitate100
Proveniență78
Întreținere100
Licență100
Adopție51
Fișiere (1)
- SKILL.md