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.
49.492 de skill-uri din 2.391 de depozite · actualizat acum 13 ore
49.492 de skill-uri
- long-task-continuationGanyuanRan/AegisUse when a task is multi-step, may span context resets or sessions, uses subagents, or risks losing state before completion.ProductivitateFără avertismente★ 1,4 K↓ —
- hyperframes-cliActualizatheygen-com/hyperframesThe HyperFrames CLI by job - scaffold, check, look at frames, edit the timeline, preview, render locally or in the cloud, publish, project history - plus reading its JSON and recovering from build or render failures.OficialInginerieVerifică întâi★ 78,7 K↓ —
- ad-lead-quality-analyzergooseworks-ai/goose-skillsFor paid lead-gen and participant-recruitment ads, replaces vanity CPA with true CAC per qualified lead by joining ad-platform data with downstream funnel events, surfaces tracking gaps, and classifies every creative into Scale / Keep / Investigate / Cut.MarketingFără avertismente★ 1,3 K↓ —
- designhashgraph-online/awesome-codex-pluginsUse for standard or complex new work before coding or planning. Also handles vague goals — clarifies before designing.DesignFără avertismente★ 1,5 K↓ —
- ai-ugc-ad-videohashgraph-online/awesome-codex-pluginsOpen-source alternative to Arcads: AI UGC ads with an AI actor holding your real product. Casts a creator whose age matches the claim in the room where the problem happens, writes a phone-real script (a yapper, unboxing, street interview or in-car take) with every line in the prompt, locks the face, the voice and the product label across shots, prompts camera flaws and breaths so it doesn't look waxy, generates on Seedance 2.5, Kling 4 or Creatify through varg, and labels it. It never puts a first-person testimonial or result in an AI mouth (FTC rule) and never targets TikTok Shop presenters (AI voices banned there). Use when someone wants AI UGC ads, an AI creator or actor talking about their product, Arcads/Creatify/MakeUGC-style ads, or UGC without hiring creators. NOT for TikTok Shop affiliate videos (use tiktok-shop-video), product-only shots with no person (use product-photo-to-video), or the same characters across a multi-scene story (use varg-consistent-characters).MediaFără avertismente★ 1,5 K↓ —
- soda-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when deciding whether and how experiments belong in a SODA (ACM-SIAM Symposium on Discrete Algorithms) paper — SODA's scope includes experimental validation but theorems carry the decision, so this skill designs supporting numerics honestly and routes implementation-led work to co-located ALENEX or to SEA.ȘtiințăFără avertismente★ 1,4 K↓ —
- api-test-planmohitagw15856/pm-claude-skillsPlan tests for an API endpoint or service — functional, negative, and contract. Use when asked to test an API, write API test cases, plan REST/GraphQL endpoint testing, or validate an API contract. Produces an API test plan — per-endpoint cases (status codes, schema, auth, validation, errors), boundary/negative cases, contract checks, and non-functional notes — so the API is verified beyond the happy 200.TestareFără avertismente★ 1,5 K↓ —
- weekly-reporthoangsonww/Claude-Code-Agent-MonitorCompile a weekly productivity report using Agent Monitor data — daily_sessions and daily_events trends, per-session costs from pricing engine, token volumes (input/output/cache_read/cache_write + baselines), tool usage top 20, session completion rates by status, and workflow intelligence metrics.ProductivitateFără avertismente★ 1,1 K↓ —
- writing-plansGanyuanRan/AegisUse when you have an approved spec or written requirements for a multi-step task that needs a durable plan document before touching code. Small, single-owner, or fast-path tasks do not need this skill.RedactareFără avertismente★ 1,4 K↓ —
- iclr-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing ICLR experiments, including baselines, ablations, scaling laws, robustness, statistics, benchmarks, human evaluation, and compute reporting. Use when a reviewer questions whether a representation-learning or model gain is real, when you must isolate one mechanism with an ablation, or when preparing a small compute-matched control that can be posted inline during the public discussion period.AlteleFără avertismente★ 1,4 K↓ —
- workhashgraph-online/awesome-codex-pluginsUse for execution, debugging, verification, planning, and shipping when the user's Emulo working profile should guide the task. Do not use for design/UI/UX work, marketing or social writing, or Emulo setup/mining.DesignFără avertismente★ 1,5 K↓ —Apare și în 2 alte depozite
- rubric-buildermohitagw15856/pm-claude-skillsCreate a clear grading rubric with criteria and performance-level descriptors that make scoring fair, fast, and consistent. Use when asked to build a rubric, create grading criteria, design an assessment scoring guide, or make grading more objective. Produces an analytic rubric table (criteria × performance levels) with concrete, observable descriptors and a points scheme — plus a short version students can self-check against.DesignFără avertismente★ 1,5 K↓ —
- writing-skillsGanyuanRan/AegisUse when creating new skills, editing existing skills, or verifying skills work before deploymentRedactareFără avertismente★ 1,4 K↓ —
- atc-related-workbrycewang-stanford/Awesome-Journal-SkillsUse when writing or auditing the related-work and positioning of an ATC (ACM SIGOPS Annual Technical Conference, formerly USENIX ATC) systems paper — covering the systems literature lanes, positioning against OSDI/SOSP/NSDI/EuroSys/FAST, writing delta-first comparisons, and keeping self-citation double-blind.ȘtiințăFără avertismente★ 1,4 K↓ —
- podc-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing an ACM PODC submission for HotCRP readiness, covering the two-step abstract-registration then full-paper deadline, the ACM Master template with the 10-page-merits budget and unbounded full version, lightweight double-blind anonymization, the regular-paper-vs-Brief-Announcement choice, and desk-risk triage before the AoE cutoff.ȘtiințăFără avertismente★ 1,4 K↓ —
- eksitsmostafa/aws-agent-skillsAWS EKS Kubernetes management for clusters, node groups, and workloads. Use when creating clusters, configuring IRSA, managing node groups, deploying applications, or integrating with AWS services.DevOpsFără avertismente★ 1,2 K↓ —
- make-static-ads-ad-copygooseworks-ai/goose-skillsStep of make-static-ads: writes the text for each slot the ad's template sets, then the primary texts, headline, description and CTA around the image, from usable facts and customer words. Run make-static-ads instead; not for direct use.MarketingFără avertismente★ 1,3 K↓ —
- copywritingkostja94/marketing-skillsWhen the user wants to write or optimize short-form marketing copy—headlines, CTAs, ad copy, landing page copy, email copy. Also use when the user mentions "copywriting," "headline," "CTA copy," "ad copy," "landing page copy," "sales copy," "conversion copy," "PAS," "AIDA," "BAB," "copy formula," or "differentiation." For long-form article bodies (blog posts, guides), use article-content.MarketingFără avertismente★ 1,1 K↓ —
- aws-ami-builderhashicorp/agent-skillsBuild Amazon Machine Images (AMIs) with Packer using the amazon-ebs builder. Use when creating custom AMIs for EC2 instances.OficialDevOpsFără avertismente★ 911↓ —
- 01-graders-and-pipelineagentscope-ai/OpenJudgeBuild custom LLM evaluation pipelines using the OpenJudge framework. Covers selecting and configuring graders (LLM-based, function-based, agentic), running batch evaluations with GradingRunner, combining scores with aggregators, applying evaluation strategies (voting, average), auto-generating graders from data, and analyzing results (pairwise win rates, statistics, validation metrics). Use when the user wants to evaluate LLM outputs, compare multiple models, design scoring criteria, or build an automated evaluation system.DesignFără avertismente★ 1 K↓ —
- context-modemohitagw15856/pm-claude-skillsKeep Claude Code sessions productive across resets with output filtering, session logging, and auto-resume. Use when starting a long or complex coding session, when previous sessions lost context mid-task, or when you need Claude to resume exactly where it left off after a reset. Produces a session.log at the project root, filtered command output that preserves context, and automatic resume of in-progress tasks after any reset.ProductivitateFără avertismente★ 1,5 K↓ —
- wsdm-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing a WSDM submission before the August deadlines - EasyChair setup, the abstract-then-paper week, the appendix-inclusive page budget, the required ethical-considerations section, anonymization that survives Associate-Chair metadata visibility, and desk-reject exposure at a no-rebuttal venue.ȘtiințăFără avertismente★ 1,4 K↓ —
- crypto-pricesmohitagw15856/pm-claude-skillsFetch live cryptocurrency prices with zero API keys — CoinGecko's public endpoints primary, Coinbase spot fallback, via plain curl. Use when asked what's bitcoin at, ETH price in euros, how's the crypto market today, or price of some altcoin. Produces the current price with 24h context, the source and timestamp, the rerunnable command, and the volatility caveat that crypto answers must carry.FinanțeFără avertismente★ 1,5 K↓ —
- hook-failure-audithoangsonww/Claude-Code-Agent-MonitorAudit hook delivery health from Agent Monitor data — balance PreToolUse vs PostToolUse (a gap means tools that started but never reported back), detect missing Stop/SubagentStop terminators (sessions/subagents that never closed), and check for stale ingestion (no recent events). Use when hooks look unreliable or events seem to be dropping.AlteleFără avertismente★ 1,1 K↓ —
huggingface-vision-trainer
huggingface/skills
De la autor
Trains 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.
Instalare
npx skills add huggingface/skills --skill huggingface-vision-trainer -a claude-code
Se instalează în .claude/skills/huggingface-vision-trainer/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
La ce are acces
Verificări de siguranță pe SKILL.md
- Include scripturi pe care nu le-am verificatScăzut
De ce 88
Fișiere (12)
- SKILL.md
- references/finetune_sam2_trainer.md
- references/hub_saving.md
- references/image_classification_training_notebook.md
- references/object_detection_training_notebook.md
- references/reliability_principles.md
- references/timm_trainer.md
- scripts/dataset_inspector.py
- scripts/estimate_cost.py
- scripts/image_classification_training.py
- scripts/object_detection_training.py
- scripts/sam_segmentation_training.py