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 48 de minute
49.409 skill-uri
- 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★ 5,4 K↓ —
- run-organic-social-platform-researchgooseworks-ai/goose-skillsResearches how one social platform works right now from dated sources (what gets reach, formats rising and fading, how small accounts get seen, recent changes) and finds what is getting watched in a given niche there, with linked examples and engagement read against each author's baseline. Use alone when you already have the platform and niche; otherwise run run-organic-social.ȘtiințăFără 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↓ —
- cloudflare-one-migrationsfcakyon/claude-codex-settingsAssess and plan migrations from existing VPN, SWG, or SASE platforms to Cloudflare One, including policy mapping, parity gaps, and rollout.DevOpsFără avertismente★ 1,2 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★ 11,3 K↓ —
- frontend-testing-debuggingfcakyon/claude-codex-settingsThis skill should be used when user asks to "debug this UI", "verify a rendered frontend change", or "check responsive layouts". Diagnose visual and interaction problems, compare reference screenshots, and reuse project QA journeys when available.TestareFără avertismente★ 1,2 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↓ —
- vldb-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the evaluation of a VLDB paper, covering workload and dataset realism at scale, competitor tuning fairness, scalability curves versus single points, tail-latency and throughput reporting, ablations that isolate the mechanism, and the loss-case disclosure PVLDB reviewers look for first.ȘtiințăFără avertismente★ 1,4 K↓ —
- product-analytics-setuprampstackco/claude-skillsHow to actually instrument product analytics correctly. Event taxonomy, property design, naming conventions, schema versioning, identity stitching, funnel design, retention cohorts, North Star metric selection, dashboard hygiene, instrumentation debt, and the failure modes that produce data nobody trusts. Triggers on product analytics setup, event taxonomy, tracking plan, instrumentation, schema versioning, North Star metric, retention cohorts, funnel design, naming conventions, instrument new feature, audit existing analytics, dashboard reconciliation, instrumentation debt, Mixpanel setup, Amplitude setup, PostHog setup, warehouse-native analytics. Also triggers when the team has data but cannot trust it, or when designing instrumentation for a new feature, or when auditing an existing setup that has drifted.DateFără avertismente★ 1 K↓ —
- cloudflare-email-servicefcakyon/claude-codex-settingsImplement or troubleshoot Cloudflare Email Sending and Email Routing integrations and their delivery configuration.DevOpsFără avertismente★ 1,2 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↓ —
- research-audience-account-sourcinggooseworks-ai/goose-skillsStep of the research-audience playbook: finds candidate accounts matching the fit definition, confirms gates, applies exclusions and dedupes. Run research-audience instead; not for direct use.ȘtiințăFără avertismente★ 1,3 K↓ —
- research-competitors-category-passgooseworks-ai/goose-skillsStep of the research-competitors playbook: the worker brief covering the whole category, including searches, AI answers, community threads and category ad winners. Run research-competitors instead; not for direct use.ȘtiințăFără avertismente★ 1,3 K↓ —
- analyze-performance-call-and-learngooseworks-ai/goose-skillsStep of the analyze-performance playbook: calls ended tests, scores last week's calls, writes this week's kill/scale/hold calls and drafts learnings for the brand brain. Run analyze-performance instead; not for direct use.TestareFără avertismente★ 1,3 K↓ —
- analyze-performance-rank-and-readgooseworks-ai/goose-skillsStep of the analyze-performance playbook: ranks creative by angle, hook and format with spend gates, writes short per-channel reads and drafts what to make next. Run analyze-performance instead; not for direct use.RedactareFără avertismente★ 1,3 K↓ —
- cloud-api-operationsActualizatTencentCloudBase/CloudBase-AI-ToolkitOperate Tencent Cloud control-plane resources (monitoring/alarms, CLB, CAM roles, COS, MySQL, SCF) via cloud APIs when no dedicated MCP tool covers the task. Use when a task needs control-plane operations beyond CloudBase's own tooling, or when a callCloudApi call failed and needs classifying. Also covers enterprise platform integration: wrapping CloudBase MCP into an organization-specific MCP (tool trimming, dangerous-action interception, per-user API Key distribution, audit) — use when the user mentions 企业接入 / 封装 MCP / 企业专属 MCP / 多租户凭证下发 / platform MCP wrapping. See recipes/enterprise-mcp-wrapper.md.InginerieFără avertismente★ 1,2 K↓ —Apare și în 5 alte depozite
- running-livekit-simulationsfcakyon/claude-codex-settingsRuns LiveKit agent simulations and acts on the results. Use when the user says "run my simulations", "regression test my agent before deploying", "run the scenarios", "use lk agent simulate", "did my agent pass", "why did this scenario fail", "run simulations in CI", "test the audio pipeline", "check turn-taking and interruptions", or wants to check whole-conversation behavior before shipping. Covers text and audio mode and what each catches, running against a local or deployed agent, degraded-audio flags, automating a pre-release run, and triaging failures with list, view and export. For writing the scenarios use writing-livekit-scenarios. Not the default for a bare "test my agent", which goes to debugging-livekit-agents. Use this skill when the user names simulations, scenarios, a run, CI, or shipping.TestareFără avertismente★ 1,2 K↓ —Apare și în 1 alt depozit
- add-geolocationmicrosoft/power-platform-skillsInternal implementation skill invoked by /add-native for native background GPS tracking with durable storage and Dataverse sync using @microsoft/power-apps-native-bglocation.AlteleFără avertismente★ 1,1 K↓ —
- building-livekit-agentsfcakyon/claude-codex-settingsBuilds voice and chat AI agents with LiveKit Agents on LiveKit Cloud or a self-hosted server. Use when the user asks to "build a voice agent", "create a LiveKit agent", "add voice AI to my app", "implement handoffs", "structure an agent workflow", "my agent is slow / too chatty", "it says it booked but nothing was saved", "make it confirm before committing", "it keeps re-asking things the caller already said", or is writing code against the LiveKit Agents SDK. Covers architecture: designing for latency, keeping context small, splitting a monolithic agent into handoffs and tasks, and designing for voice. Also covers keeping the model in charge of meaning while code owns state, approvals, and effects. For API specifics use reading-livekit-docs. To check behavior use debugging-livekit-agents and testing-livekit-agents.TestareFără avertismente★ 1,2 K↓ —
- social-overlaysNouhashgraph-online/awesome-codex-pluginsEleven conversion overlays for short-form ads, UGC and creator videos, with presets per platform: CTA pill, follow tap prompt, story sticker tag, LIVE badge with viewer count, notification drop, review proof card, story caption bar, photo wall loop, follower counter and goal bar, comment callout (reply-to-comment) and subscribe-and-bell nudge. Presets use one universal 9:16 safe box built from TikTok, Meta Reels, YouTube Shorts and Snap specs, CTA timing from creator analysts (ask after value, never in the intro), native number formats, contrast and motion tokens, plus the FTC rules: reviews, comments and counts come from real data only and paid content is disclosed. Use when an ad or creator video needs a call to action, a subscribe or follow ask, a review or comment on screen, a LIVE badge or a counter. NOT for fake reviews, fake follower counts or copying a platform's logo.MediaFără avertismente★ 1,5 K↓ —
- anthropic-frontend-designfcakyon/claude-codex-settingsGuidance for distinctive, intentional visual design when building new UI or reshaping an existing one. Helps with aesthetic direction, typography, and making choices that don't read as templated defaults.DesignFără avertismente★ 1,2 K↓ —
- run-organic-social-plan-calendargooseworks-ai/goose-skillsStep of the run-organic-social playbook: turns the audit, research and dated moments into a two-week grid of empty post slots. Run run-organic-social instead; not for direct use.PlanificareFără avertismente★ 1,3 K↓ —
- arenaNouhashgraph-online/awesome-codex-pluginsSeveral subagents build the same artifact from one brief in isolation, a read-only judge scores them, and you pick a base and graft in the best parts of the rest. Use for "arena this", "competing attempts", "second opinion on this approach".AlteleFără avertismente★ 1,5 K↓ —
trip-plan
nano-muse/nanoMuse
PlanificareActualizat ieri
De la autor
Plan a trip end to end (itinerary by day, a packing list to tick off, a budget, and the calendar checked for conflicts) as pages in the workspace. Use when the user is going somewhere for more than a day and wants a plan, an itinerary or a packing list.
Instalare
npx skills add nano-muse/nanoMuse --skill trip-plan -a claude-code
Se instalează în .claude/skills/trip-plan/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Fără descărcare: licența acestui skill (GPL-3.0) nu ne permite să-i redistribuim fișierele. Comenzile de instalare le iau direct de pe GitHub.
La ce are acces
Doar instrucțiuniNu am văzut acces la rețeaLicență: GPL-3.0
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