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 15 minute
49.409 skill-uri
- 02-ref-hallucination-arenaagentscope-ai/OpenJudgeBenchmark LLM reference recommendation capabilities by verifying every cited paper against Crossref, PubMed, arXiv, and DBLP. Measures hallucination rate, per-field accuracy (title/author/year/DOI), discipline breakdown, and year constraint compliance. Supports tool-augmented (ReAct + web search) mode. Use when the user asks to evaluate, benchmark, or compare models on academic reference hallucination, literature recommendation quality, or citation accuracy.ȘtiințăFără avertismente★ 1 K↓ —
- 00-arena-routeragentscope-ai/OpenJudgeUse when the user wants to compare or benchmark multiple LLMs/agents arena-style but it's unclear which specific workflow fits — a general-purpose win-rate comparison on a custom task, or a benchmark specifically about reference/citation hallucination rate. Also use when the user mentions model arena, agent arena, pairwise model comparison, win-rate ranking, or comparing models on a task and hasn't specified whether that task is generic or about citation accuracy. This skill is the entry router for the arena-eval suite: it asks one diagnostic question when needed, then recommends the workflow or workflows needed to cover the request.PlanificareFără avertismente★ 1 K↓ —
- baoyu-post-to-weiboJimLiu/baoyu-skillsPosts content to Weibo (微博). Supports regular posts with text, images, and videos, and headline articles (头条文章) with Markdown input via Chrome CDP. Use when user asks to "post to Weibo", "发微博", "发布微博", "publish to Weibo", "share on Weibo", "写微博", or "微博头条文章".BrowserFără avertismente★ 27,2 K↓ —
- 01-auto-arenaagentscope-ai/OpenJudgeAutomatically evaluate and compare multiple AI models or agents without pre-existing test data. Generates test queries from a task description, collects responses from all target endpoints, auto-generates evaluation rubrics, runs pairwise comparisons via a judge model, and produces win-rate rankings with reports and charts. Supports checkpoint resume, incremental endpoint addition, and judge model hot-swap. Use when the user asks to compare, benchmark, or rank multiple models or agents on a custom task, or run an arena-style evaluation.TestareFără avertismente★ 1 K↓ —
- threat-detectionalirezarezvani/claude-skillsUse when hunting threats, sweeping IOCs or looking for anomalies in logs and telemetry. Ranks ATT&CK-mapped signals and z-score anomalies with threat_signal_analyzer.py.AlteleFără avertismente★ 29,2 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↓ —
- oma-qaNoufirst-fluke/oh-my-agentReview changes for correctness, security, accessibility, and performance. Use for scoped quality reviews or verification plans; bug fixes use oma-debug.TestareFără avertismente★ 1,4 K↓ —
- agentlas-localagentlas-ai/Agentlas-OSStaff a task only from Agentlas agents registered on this machine.ProductivitateFără avertismente★ 1,6 K↓ —
- install-verificationagentlas-ai/Agentlas-OSUse before claiming that the package can be installed or published. Verifies structure, adapters, schemas, executable scripts, and public-safety boundaries.AlteleFără avertismente★ 1,6 K↓ —
- plan-my-daymohitagw15856/pm-claude-skillsTurn a messy to-do brain-dump into a realistic, time-blocked day — top priorities first, everything slotted with buffer, and an honest 'this won't all fit, cut these.' Use when asked to plan my day, time-block my schedule, help me organize today, or I have too much to do. Produces the top 3 priorities, a time-blocked schedule around your fixed commitments, a realistic cut list when it's overloaded, and an if-things-slip fallback — planning for the day you'll actually have.PlanificareFără avertismente★ 1,5 K↓ —
- laravel-tddhashgraph-online/awesome-codex-pluginsTest-driven development for Laravel with PHPUnit and Pest, factories, database testing, fakes, and coverage targets.TestareFără avertismente★ 1,5 K↓ —
- 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; 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★ 27,9 K↓ —
- legal-briefmohitagw15856/pm-claude-skillsDraft a structured legal brief, case summary, or legal argument outline. Use when asked to write a legal brief, case note, legal memo, argument outline, or position paper. Produces a structured document using IRAC format (Issue, Rule, Application, Conclusion).JuridicFără avertismente★ 1,5 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↓ —
- agentlas-cloudagentlas-ai/Agentlas-OSStaff a task only from the signed-in owner's Agent Cloud agents.ProductivitateFără avertismente★ 1,6 K↓ —
- agentlas-callagentlas-ai/Agentlas-OSUse when the user types /agentlas-call <agents> <context>, /agentlas call, or /hep-call to borrow and execute named Agentlas Hub/Cloud agents attached to the current project.ProductivitateFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- 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↓ —
- improve-search-visibility-page-and-foundation-checkgooseworks-ai/goose-skillsStep of the improve-search-visibility playbook: audits site indexing, crawling, technical and page issues at the requested scope, or checks pages behind lost visibility questions. Run improve-search-visibility instead; not for direct use.BrowserFără avertismente★ 1,3 K↓ —
- minutes-x1-send-meetingsilverstein/minutesSend one of the user's own Minutes meetings to their X1 household for review. Use when the user wants a meeting's summary, decisions, action items, and open questions to reach X1 so they can confirm what belongs in their household record. X1 asks the user to approve the send, and nothing reaches the household record until they confirm each item. Never use it for a restricted meeting, a transcript, or someone else's meeting.InginerieFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- 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↓ —
- improve-search-visibility-entity-footprintgooseworks-ai/goose-skillsStep of the improve-search-visibility playbook: checks the profiles answer engines read, plus local listings and reviews, against the brand's facts and writes corrections. Run improve-search-visibility instead; not for direct use.RedactareFără avertismente★ 1,3 K↓ —
goose-ads
gooseworks-ai/goose-skills
MarketingActualizat 27 oct. 2026
De la autor
Edit, resize, animate and study image ads with GooseWorks in this chat. New static or image ads go to the make-static-ads skill when it is installed or catalog_fetch opens it. Read the brand and follow the active playbook, preserving factual prerequisites and approvals.
Instalare
npx skills add gooseworks-ai/goose-skills --skill goose-ads -a claude-code
Se instalează în .claude/skills/goose-ads/ · 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 (2)
- SKILL.md
- skill.meta.json