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 1 oră
49.409 skill-uri
- planning-with-filesActualizatOthmanAdi/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↓ —
- colm-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when preparing or auditing a COLM submission on OpenReview — the late-March abstract and full-paper deadlines, the strict 9-page main text, double-blind rules banning acknowledgments and identity links, the Code of Ethics acknowledgment, LLM-usage disclosure, reciprocal-reviewer nomination, and pre-upload risk triage.ȘtiințăFără avertismente★ 1,4 K↓ —
- research-audience-fit-definitiongooseworks-ai/goose-skillsStep of the research-audience playbook: drafts the searchable fit definition, exclusions and list size that the list run then searches on. Run research-audience instead; not for direct use.ȘtiințăFără avertismente★ 1,3 K↓ —
- add-opencodenanocoai/nanoclawUse OpenCode as an agent provider. OpenRouter, OpenAI, Google, DeepSeek, etc. via OpenCode config — not the Anthropic Agent SDK. Per group via `ncl groups config update --provider opencode`; host passes OPENCODE_* and XDG mount when spawning containers.AlteleFără avertismente★ 31,1 K↓ —
- tc-trackeralirezarezvani/claude-skillsUse when tracking technical changes as records, or handing work between AI sessions with a change record. Creates, updates and validates change records with tc_create.py, tc_update.py and tc_validator.py.AlteleFără avertismente★ 29,2 K↓ —
- analyze-performance-revenue-joingooseworks-ai/goose-skillsStep of the analyze-performance playbook: joins cleaned store or CRM numbers with ad spend to build the business-truth table, MER, new-customer cost and the overclaim ratio. Run analyze-performance instead; not for direct use.MarketingFără avertismente★ 1,3 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- yc-readerhimself65/finance-skillsLook up Y Combinator companies and batches from the public yc-oss API, a static JSON dataset refreshed daily: company profiles, batch rosters (e.g. W25, S24), companies by industry or tag, top companies, who is hiring, founder-diversity lists, and overall YC stats. Use this skill whenever the user asks about YC-backed startups, a YC batch, YC companies in a sector or tag or that are hiring, the Y Combinator portfolio, or startup and venture research that draws on YC data. Read-only.ȘtiințăFără avertismente★ 3,5 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↓ —
- generate-ppmplugin-manifestmicrosoft/power-platform-skillsValidate, reconcile to the chosen target(s), and stage the `manifest.json` for a `.ppmplugin` bundle. In the normal flow the committed `./manifest.json` already exists (authored by /generate-native-extension), so this stage reads it, runs the plugin's upload-compatibility checks locally as a pre-flight gate (name regex, canonical prefix, known incompatible names, method and identifier shapes), reconciles `entrypoints` down to the platform(s) you ship, and writes the gitignored staged copy `ppmplugin/staging/manifest.json` that /assemble-ppmplugin zips. If no committed manifest exists (a hand-authored module) it falls back to deriving every field from the class name and Android module source, writing both the committed file and the staged copy. No toolchain — pure read, validate, write. Target-aware. Run after the native module exists, before the build skills.RedactareFără avertismente★ 1,1 K↓ —
- varg-product-lockNouhashgraph-online/awesome-codex-pluginsTurns product photos into AI video shots that keep the product identical: a lock sheet (fixed geometry, fixed surface, allowed motion), a reference pack of 2-4 angles passed as @image roles to Seedance 2.5 or Kling 4, a camera-risk ladder (locked frame → push-in → slide → small orbit), banned motion words, one action per 4-6 s shot, a drift check with varg video_analyze, and the real packshot composited back where text must be exact. Fixes the #1 "looks fake" tell in AI product ads: warped logos, melted labels, products that change shape or size between shots. Use when a product drifts, morphs, changes color or loses its label in AI video, when someone asks for "consistent product", "keep my logo", "product looks different in every shot", or before a batch of product videos for TikTok Shop, Meta or Amazon. Not for people and characters staying the same (use varg-consistent-characters or varg-character-design).DocumenteFără avertismente★ 1,5 K↓ —
- research-audiencegooseworks-ai/goose-skillsAudience research: who the buyers are, in their own words, where they gather and how to reach them — plus named prospect lists when asked. Use when the marketer says "research our audience", "who should we target", "mine our reviews", "why do people buy us or leave", "where does our audience hang out"; or for lists: "find 50 right-fit leads with emails", "find retailers or accounts to pitch", "score these leads / who do we call first", "who's looking for an alternative to X", "tell me when a past champion changes jobs". Reads the brand's own customer data first and delivers a readable report saved to the brand. Never contacts anyone. Not for market size or trends — use research-market; not for writing the messages — use write-outreach.ȘtiințăFără avertismente★ 1,3 K↓ —
- oma-bootstrapfirst-fluke/oh-my-agentInstall or verify the oma CLI and its runtimes (bun, uv, serena) before any oma-* skill, agent, or workflow runs an `oma` command. Use when `oma` is missing from PATH, when a skill says to run `oma ...` and the shell reports "command not found", or on the first task in a fresh Cursor or Grok Bot workspace.InginerieFără avertismente★ 1,4 K↓ —
- ad-campaign-analyzergooseworks-ai/goose-skillsAnalyze ad campaign performance data (Google, Meta, LinkedIn) to identify what's working, what's wasting budget, and specific cut/scale/test recommendations. Runs statistical analysis, funnel diagnostics, and multi-channel budget reallocation with specific dollar-amount shift recommendations and scenario modeling.MarketingFără avertismente★ 1,3 K↓ —
- test-native-extensionmicrosoft/power-platform-skillsValidate a third-party control repo across four automated layers plus one printed manual recipe. Layer 1 asserts native-source structure (Android getName() and iOS +moduleName to manifest nativeModule; @ReactMethod / RCT_EXPORT_METHOD to methods; no @ReactModule) plus load/init readiness (ReactPackage public no-arg constructor, iOS [cls new] no-arg init, requiresMainQueueSetup NO, non-throwing eager construction), so launch-time crashes surface before any build. Layer 2 validates the committed `./manifest.json` against the ppmplugin-format rules. Layer 3 asserts request/response/error-code agreement across native and PCF. Layer 4 compiles the PCF (auto-skipped if absent). Layer 5 prints a device end-to-end recipe. Native compile belongs to /build-android-binary and /build-ios-binary — this is the cheap structural pre-flight before those slow builds. Reports pass/fail per layer with a fix hint and updates .extension-state.md.TestareFără avertismente★ 1,1 K↓ —
- publish-pcf-companionmicrosoft/power-platform-skillsDeploy the dispatcher PCF for a third-party `.ppmplugin` control to a Power Platform environment via `pac pcf push`. The dispatcher PCF is the Studio-side control that dispatches the composite key `<name>/<receiver>` over the wrap shell's `SendMessagePlugin` bridge to the control's native module. Verifies deploy prereqs (Node.js 20+ with npm, .NET SDK, and active `pac auth`), then three confirmation gates — publisher prefix (2–8 chars; defaults to `pamext` or the last-used value from `.extension-state.md`), version bump (patch / minor / major / no-bump), target environment URL (from `pac org who`). Builds the PCF if needed, then pushes. Decoupled from /generate-pcf-companion so the engineer can scaffold and customize locally, then deploy when ready. Updates `.extension-state.md` with deployment history (timestamp, env URL, version, prefix used).DevOpsFără avertismente★ 1,1 K↓ —
- gentle-ai-chained-prGentleman-Programming/gentle-shellTrigger: PRs over 400 lines, stacked PRs, review slices. Split oversized changes into chained PRs that protect review focus.InginerieFără avertismente★ 1,5 K↓ —
- author-webpage-contentmicrosoft/power-platform-skillsGenerates and fills the localized HTML body of an existing webpage in a PAC CLI-downloaded non-SPA Power Pages site from a resolved page-content specification. Use whenever a caller has resolved the existing webpage metadata and asks to compose, replace, append, or modify the exact localized `.webpage.copy.html` file with Design Studio-compatible sections, columns, flex containers, text, images, buttons, videos, iframes, Generative AI Search components, basic forms, lists, multistep forms, or spacers. This skill owns only HTML generation and the supplied target file; the coordinator's webpage reference workflow owns discovery, records, metadata, languages, routes, templates, navigation, and companion-file creation. Do not use for React, Angular, Vue, or Astro SPA sites.DesignFără avertismente★ 1,1 K↓ —
- build-android-binarymicrosoft/power-platform-skillsCompile a PAM control's Android Kotlin module into the runtime-loadable DEX for a `.ppmplugin`. Creates a staged Gradle build with the pinned wrapper and `react-android` compile dependency, verifies manifest/module/package alignment and runtime-loading constraints, builds the release AAR, then runs `d8 --min-api 24`. Writes `ppmplugin/staging/android/<PascalName>Plugin.dex` and surfaces actionable Gradle or d8 failures. Requires JDK 17+ and Android SDK Build-Tools 35.0.0; `d8` is located from the SDK and system Gradle is optional. Run after /generate-ppmplugin-manifest and before /assemble-ppmplugin.RedactareFără avertismente★ 1,1 K↓ —
- goose-product-photosgooseworks-ai/goose-skillsMake product photos (studio, lifestyle or on a model) of a brand's real products with GooseWorks in this chat. Start brand work with brand_knowledge_browse and follow the next_step in every answer.MediaFără avertismente★ 1,3 K↓ —
- acl-review-processbrycewang-stanford/Awesome-Journal-SkillsUse when reasoning about how an ACL paper travels through ACL Rolling Review and conference commitment, covering reviewer and area-chair roles, meta-reviews, the commitment decision by senior area chairs and program chairs, Findings versus main-conference outcomes, ethics review escalation, and resubmission strategy across cycles.InginerieFără avertismente★ 1,4 K↓ —
lancet-writing
brycewang-stanford/Awesome-Journal-Skills
RedactareActualizat 27 sept. 2026
De la autor
Use to structure and hold the length of a Lancet Article main text — Introduction, Methods, Results, Discussion (~3000–3500 words), the Research in context panel, a limited reference list (~30), and a cautious, globally minded Discussion that does not overstate.
Instalare
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill lancet-writing -a claude-code
Se instalează în .claude/skills/lancet-writing/ · 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
Proveniență77
Întreținere100
Licență100
Adopție50
Fișiere (1)
- SKILL.md