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.
48.168 de skill-uri din 2.325 de depozite · actualizat acum 7 ore
47.055 de skill-uri
- reportevo-hq/evoRead-only evo run reporting. Use when the user invokes /evo:report, asks what happened overnight, asks what improved recently, asks for the best/frontier candidates, asks for a quick score chart without opening the dashboard, or wants the scatter plot in chat output. Never run benchmarks, gates, Slurm commands, evo run, or ad-hoc verification scripts for report requests.MarketingFără avertismente★ 1,5 K↓ —Apare și în 1 alt depozit
- agent-nativehashgraph-online/awesome-codex-pluginsDispatch independent tasks to parallel workers or subagents without write collisions. Use when: running or planning agents in parallel, even two; check scopes before any launch.RedactareFără avertismente★ 1,5 K↓ —
- full-page-screenshotalirezarezvani/claude-skillsUse when asked for a full-page or long screenshot of a web page. Captures SPA scroll containers, lazy images and very tall pages through Chrome DevTools Protocol with no extra dependencies.BrowserFără avertismente★ 29,1 K↓ —
- spec-driven-workflowalirezarezvani/claude-skillsUse when a feature should be specified before coding (acceptance criteria, spec-first, tests from specs). Writes the spec with spec_generator.py, checks it with spec_validator.py and extracts tests with test_extractor.py.PlanificareFără avertismente★ 29,1 K↓ —
- architecturehashgraph-online/awesome-codex-pluginsCompare interface designs and find structural friction. Use when: a change spreads across modules or a boundary is unclear. For code changes, use Refactor.PlanificareFără avertismente★ 1,5 K↓ —
- openmeld-cliamplifthq/openmeldUse OpenMeld when a task needs Organization knowledge or Skills, Center Agent help, shared Spaces or Files, another Agent or computer, or scheduled cloud work. Also use for OpenMeld setup and Wake replies.InginerieFără avertismente★ 1,4 K↓ —Apare și în 3 alte depozite
- content-strategyalirezarezvani/claude-skillsUse when deciding what content to create (topics, clusters, a blog or content plan), before listing ideas. Maps topic clusters with topic_cluster_mapper.py and ties each piece to a funnel stage and search demand.RedactareFără avertismente★ 29,1 K↓ —
- fixhashgraph-online/awesome-codex-pluginsWhen explicitly invoked with a software defect or unwanted behavior, translate the natural-language report and repository evidence into one compact repair contract, explain it plainly, then fix it in one approved shot. Never invoke implicitly.JuridicFără avertismente★ 1,5 K↓ —
- reviewhashgraph-online/awesome-codex-pluginsThe pre-merge review of a branch in a project that records its specs, decisions, and rules in .archcore/. Run this first for 'review my branch', 'review the changes before merge', or 'review before merge': it checks the changed code against the project's recorded canon and the changed documents against the code, and reports which side is wrong — spec-wrong or code-wrong; on the default branch it reviews the unpushed and uncommitted work. A bug-hunting code review complements this review and does not replace it. Also use for 'documentation gaps', 'check if docs match code', 'close out the feature', 'ship the feature and close it out', or after a staleness warning. Takes an optional path, tag, topic, or ref in free text; no first word is a mode — say 'are docs out of date', 'audit the knowledge base', 'close out the feature', or 'capture this pattern' in plain words. Not for creating docs — use /archcore:document; not for planning — use /archcore:plan; not for a single-file edit with no branch review.InginerieFără avertismente★ 1,5 K↓ —Apare și în 1 alt depozit
- 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↓ —
- 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↓ —
- triagehashgraph-online/awesome-codex-pluginsDiagnose stalled, blocked, overloaded, or unhealthy Agiflow projects and recommend specific corrective actions. Use for project health checks, blocked work, conflicting priorities, obsolete tasks, overloaded assignees, or an unmanageable backlog.PlanificareFără avertismente★ 1,5 K↓ —
- electronfcakyon/claude-codex-settingsAutomate Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify, etc.) using agent-browser via Chrome DevTools Protocol. Use when the user needs to interact with an Electron app, automate a desktop app, connect to a running app, control a native app, or test an Electron application. Triggers include "automate Slack app", "control VS Code", "interact with Discord app", "test this Electron app", "connect to desktop app", or any task requiring automation of a native Electron application.TestareFără avertismente★ 1,2 K↓ —
- setupfcakyon/claude-codex-settingsThis skill should be used when user asks to "set up overleaf", "configure overleaf cookie", "overleaf auth failed", "overleaf 401", "overleaf session expired", "overleaf unauthorized", or needs to install or refresh their Overleaf session cookie for the overleaf-skills plugin.AlteleFără avertismente★ 1,2 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↓ —
- how-to-make-ai-videoNouhashgraph-online/awesome-codex-pluginsHow to make AI video skills for Claude Code and AI agents: one search over varg how to (varg.ai/how-to, 2,000+ checked AI video skills, step-by-step how-to tutorials, FFmpeg recipes, video formats, prompts and styles) turns a video request into the best skill with its install command, the 2-4 options to show the person (with example videos) and the steps. Use when someone asks "how do I make a ... video", "make me a UGC ad / lyric video / explainer / talking avatar / product video / faceless short", "add captions", "edit this video", "which skill should I use for ...", "find a skill for ...", or the same in any language, and no installed skill already covers that format; use it before writing a video pipeline from scratch or searching registries. Also use it to list a video skill you built on varg how to. Not for running a generation itself (use varg-ai), and not for non-media coding tasks.MediaFără avertismente★ 1,5 K↓ —
- scenario-video-to-motionNouscenario-labs/skillsUse when turning a reference video into 3D character animation through the Scenario MCP: markerless motion capture from a phone clip or a generated performance, auto-rigging an uploaded FBX, GLB, or OBJ character and applying the captured motion, raw motion on a Mixamo or MetaHuman skeleton to retarget yourself, in-place locomotion, looping clips, facial capture, or FBX exports for Blender, Maya, Unreal, Unity, or Roblox. Keywords: mocap, video to motion, video23d, animation from video.MediaFără avertismente★ 1,4 K↓ —
- gitnexushashgraph-online/awesome-codex-plugins将 GitNexus 作为受控可选代码智能能力接入，用于 brownfield MCP 查询、影响面分析、 detect_changes、多仓分析和更深代码图谱证据。输出必须回落到 `/team-*` 主链和 artifacts。AlteleFără avertismente★ 1,5 K↓ —
- scenario-multi-referencescenario-labs/skillsUse when one image must be composed from several reference pictures through the Scenario MCP server, each lending one thing: the character from one, the place, pose, style, light, palette, material, outfit, or layout from others. Also when a reference leaks into the result (its object, colors, or face showing where it should not) or a reference's role is ignored. Keywords: multi-reference, reference roles, combine references, style reference, pose reference, give each picture a job.MediaFără avertismente★ 1,4 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★ 11,2 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★ 11,2 K↓ —
- oauthhashgraph-online/awesome-codex-pluginsUse when a val needs to require login with a Val Town account — gating routes behind authentication, identifying the current user, building user-specific dashboards. Covers std/oauth's `oauthMiddleware` and `getOAuthUserData`, the auto-managed `/auth/*` routes, and session behavior. For third-party OAuth providers (Google, GitHub, etc.) see the `third-party-integrations` skill instead.PlanificareFără avertismente★ 1,5 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★ 11,2 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★ 11,2 K↓ —
sensory-audit
mohitagw15856/pm-claude-skills
ȘtiințăActualizat 23 oct. 2026
De la autor
Walk a space — home, office, commute, classroom — and find the sensory landmines quietly draining or overloading you, with fixes ranked by cost and impact. Use when someone says 'my office wrecks me and I don't know why', 'I'm overstimulated all the time', 'make my home autism/ADHD-friendly', or lives with SPD, autism, migraine, or misophonia. Produces a room-by-room sensory map, a ranked fix list (free → cheap → invest), and a portable kit for spaces you can't change. A self-help audit, not a clinical assessment.
Instalare
npx skills add mohitagw15856/pm-claude-skills --skill sensory-audit -a claude-code
Se instalează în .claude/skills/sensory-audit/ · 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
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- SKILL.md