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.
49.404 skill-uri din 2.375 de depozite · actualizat acum 15 minute
49.404 skill-uri
- 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↓ —
- 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↓ —
- ru-checkhashgraph-online/awesome-codex-pluginsFull Russian text quality check against the whole corpus. Triggers: вычитай, вычитай через ru-text, прогони ru-text, проверь текст по ru-text, ru-check, полная вычитка. Use when the user asks to proofread Russian text, or when a project gate names ru-text. Returns findings with the rule behind each and a proposed replacement; never edits a file. Self-initiated runs start with a fast triage and escalate on evidence; an explicit request always runs the full corpus.RedactareFără avertismente★ 1,5 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↓ —
- 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↓ —
- 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↓ —
- senior-backendActualizatalirezarezvani/claude-skillsBuild and fix backend services: REST or GraphQL APIs, auth, microservices, PostgreSQL queries, migrations and load tests. Use whenever the user's API is slow or broken, needs login or auth added, a schema change, or a new endpoint or service scaffolded.TestareFără avertismente★ 29,2 K↓ —
- colm-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning a COLM submission campaign across the calendar — working backward from the late-March abstract and paper deadlines through the May-June rebuttal, July decisions, August camera-ready, and October conference, coordinating co-authors, compute, and reciprocal-reviewing duties, and slotting COLM into a multi-venue LM-research pipeline.ProductivitateFără avertismente★ 1,4 K↓ —
- casefilehashgraph-online/awesome-codex-pluginsUse when tracking security investigations, bug bounty findings, CTF leads, audit evidence, exploit chains, dead ends, or reports in the Casefile ledger through Codex.SecuritateFără avertismente★ 1,5 K↓ —
- cell-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when deciding which cell-* sub-skill to invoke next, or when sequencing a manuscript from significance test through reviewer rebuttal for Cell (Cell Press). Routes — it does not replace — the specialized skills.ProductivitateFără avertismente★ 1,4 K↓ —
- colt-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning a COLT (Conference on Learning Theory) submission calendar backward from the single AoE paper deadline — proof-completion and verification milestones, writing and appendix-assembly passes, CMT logistics, the rebuttal window, decision aftermath, and PMLR camera-ready with conference presentation in early summer.ProductivitateFără avertismente★ 1,4 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★ 29,2 K↓ —
- icdm-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an ICDM (IEEE International Conference on Data Mining) project timeline from venue fit through the abstract and full-paper deadlines, the long summer wait to the August notification, the no-rebuttal review, the possible short-paper acceptance branch, IEEE camera-ready, and in-person presentation on a single annual deadline.ProductivitateFără avertismente★ 1,4 K↓ —
- iccv-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when project-managing an ICCV campaign across the odd-year cycle, covering the autumn fork between CVPR and ICCV, the early-March registration and single submission deadline, May rebuttal week, late-June decisions, the October conference with international travel and visa lead times, and the ECCV/CVPR fallback ladder if the paper misses.ProductivitateFără avertismente★ 1,4 K↓ —
- hpca-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an HPCA project timeline from venue fit through the two-step July registration and paper gate, the autumn review wait, the single rebuttal/revision window, notification, IEEE camera-ready, artifact evaluation, and the February/March talk, with backward-planning offsets for a hardware-evaluated paper.ProductivitateFără avertismente★ 1,4 K↓ —
- form-explainermohitagw15856/pm-claude-skillsExplain an official form field by field (tax, benefits, immigration, employment, school, health, vehicle or court forms) from a photo, PDF, pasted text or just its name and number: what it is for, what each field means and what to put, the documents needed, the deadline, and where to send it. Use when someone says 'what is this form', 'help me understand form P45 / W-4 / Form 16', 'what do I write in this box', or 'I got this form in the post'. Produces a one-line purpose, a field-by-field guide, a documents checklist, common mistakes, and what happens next.DocumenteFără avertismente★ 1,5 K↓ —
- research-competitors-edge-casesgooseworks-ai/goose-skillsStep of the research-competitors playbook: rules for run edge cases such as no browser, stalled workers, earlier reports and late reads. Run research-competitors instead; not for direct use.ȘtiințăFără avertismente★ 1,3 K↓ —
- redis-observabilityredis/agent-skillsRedis observability guidance — which metrics to monitor (memory, connections, hit ratio, ops/sec, rejected connections), which built-in commands to reach for during incident triage (SLOWLOG, INFO, MEMORY DOCTOR, CLIENT LIST, FT.PROFILE), and when to use the Redis Insight GUI. Use when setting up monitoring or alerts for a Redis instance, diagnosing a performance regression, profiling a slow FT.SEARCH query, or wiring Redis metrics into Prometheus, Datadog, or similar.OficialDevOpsFără avertismente★ 172↓ —Apare și în 1 alt depozit
- closed-loophuytieu/COG-second-brainRun one task through the V-model verification loop: CP-2 plan → CP-3 build → CP-3v component verify → CP-4 integration verify (full lane) → CP-5 acceptance. The worker never grades its own homework; evidence rows trace back to AC-n. Opt-in: invoke with /closed-loop or by asking for the closed loop, proper verification, or an evidence trail. Ordinary work does not run this.PlanificareFără avertismente★ 1,3 K↓ —Apare și în 1 alt depozit
- email-lifecycle-lifecycle-auditgooseworks-ai/goose-skillsStep of the email-lifecycle playbook: audits list, consent, live flows, recent sends and sending setup, marking every item verified, from-you or unknown. Run email-lifecycle instead; not for direct use.ProductivitateFără avertismente★ 1,3 K↓ —
- valaxy-themeYunYouJun/valaxyCreate or evolve a runnable Valaxy theme from a design brief, reference site, or UI library. Use for valaxy-theme-* packages, AI theme generation, theme starter customization, or adapting AK UI to a Valaxy blog. Covers theme contracts, demo content, packaging, SSR and browser verification. Use the general valaxy Skill for site configuration or article editing without theme development.DesignFără avertismente★ 1,1 K↓ —
dynamodb
itsmostafa/aws-agent-skills
DevOpsActualizat ieri
De la autor
AWS DynamoDB NoSQL database for scalable data storage. Use when designing table schemas, writing queries, configuring indexes, managing capacity, implementing single-table design, or troubleshooting performance issues.
Instalare
npx skills add itsmostafa/aws-agent-skills --skill dynamodb -a claude-code
Se instalează în .claude/skills/dynamodb/ · 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
- query-patterns.md