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 18 ore
48.451 de skill-uri
- deploying-to-staging-environmentAgentWorkforce/relayUse when deploying changes to staging across relay, relay-dashboard, and relay-cloud repos - coordinates multi-repo branch syncing using git worktrees, automatically triggers staging deployments via GitHub ActionsDevOpsFără avertismente★ 1,1 K↓ —
- rss-camera-readybrycewang-stanford/Awesome-Journal-SkillsJournal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的 Claude Code/Codex 期刊技能包，从选题、识别策略到表格规范与审稿回复全流程，助你快速发论文。PlanificareFără avertismente★ 1,4 K↓ —
- pinterest-postskostja94/marketing-skillsWhen the user wants to create Pinterest Pins, optimize Pin descriptions, or grow Pinterest presence. Also use when the user mentions "Pinterest," "Pin," "Pinterest SEO," "Pinterest description," "Pinterest board," or "Pinterest marketing." For asset specs, use visual-content.MarketingFără avertismente★ 1,1 K↓ —
- choosing-swarm-patternsAgentWorkforce/relayUse when coordinating multiple AI agents with Agent Relay's workflow engine and need to pick the right orchestration pattern - covers the 10 core patterns (fan-out, pipeline, hub-spoke, consensus, mesh, handoff, cascade, dag, debate, hierarchical) plus 14 specialized ones, with decision framework and accurate SDK/YAML examples.PlanificareFără avertismente★ 1,1 K↓ —
- 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; 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↓ —Apare și în 1 alt depozit
- pods-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing an ACM PODS research submission for EasyChair readiness, covering the chosen cycle's abstract-then-paper deadlines, the acmsmall[review,anonymous] format and 15-page budget, the at-submission proof appendix, lightweight double-anonymity, the declared conflicts of interest, PACMMOD-track publication, and desk-risk triage before the AoE cutoff.ȘtiințăFără avertismente★ 1,4 K↓ —
- find-quoteshashgraph-online/awesome-codex-pluginsFinds exact spoken quotes and clip-ready moments on podcasts and YouTube: verbatim words, speaker, date, a timestamped link, clip start and end. Uses arcmira.AlteleFără avertismente★ 1,5 K↓ —
- logo-generatorkostja94/marketing-skillsDeprecated compatibility entry for Logo construction. This component is now maintained in Bricks; install and use component-builder to build a new Logo.AlteleFără avertismente★ 1,1 K↓ —
- products-page-generatorkostja94/marketing-skillsDeprecated compatibility entry for Commerce Product Page construction. This page is now maintained in Pagina; install and use page-builder to build a new Commerce Product Page.AlteleFără avertismente★ 1,1 K↓ —
- grantsalirezarezvani/claude-skillsUse for any NIH funding question ('find grants for my research', 'which NIH institute'). Maps the idea to institutes, study sections and NOSIs via RePORTER, matches mechanisms with mechanism_matcher.py and writes a .docx strategy. NIH only.DocumenteFără avertismente★ 29,3 K↓ —
- startups-page-generatorkostja94/marketing-skillsDeprecated compatibility entry for Startup Program Page construction. This page is now maintained in Pagina; install and use page-builder to build a new Startup Program Page.AlteleFără avertismente★ 1,1 K↓ —
- emailhashgraph-online/awesome-codex-pluginsUse when a val sends email, receives email, or is triggered by an incoming email. Covers email-type vals (the Email handler shape, attachment limits, the assigned val email address) and sending mail via std/email.ProductivitateFără avertismente★ 1,5 K↓ —
- add-cursornanocoai/nanoclawUse Cursor (local Agent SDK) as a full agent provider — planning, tool orchestration, MCP tools, session resume — alongside or instead of Claude. Cursor-account sign-in or API key, held by the credential gateway. Per-group via `ncl groups config update --provider cursor`. Distinct from using Cursor as a cloud agent (those run on Cursor VMs and are not this provider).PlanificareFără avertismente★ 31,1 K↓ —
- patentalirezarezvani/claude-skillsUse for prior-art search, freedom-to-operate, patent landscape, acquisition diligence or litigation prior art. Picks the use case with sub_use_case_router.py, searches Google Patents, Espacenet and USPTO and writes a .docx; not legal advice.DocumenteFără avertismente★ 29,3 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↓ —
- 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↓ —
- rss-related-workbrycewang-stanford/Awesome-Journal-SkillsJournal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的 Claude Code/Codex 期刊技能包，从选题、识别策略到表格规范与审稿回复全流程，助你快速发论文。PlanificareFără avertismente★ 1,4 K↓ —
- ops-inspectorTencentCloudBase/CloudBase-AI-ToolkitAIOps-style CloudBase inspection skill. Use when users need health checks, log diagnosis, alarm interpretation (CPU alert normal?, peak QPS), metrics via queryEnv(action=metrics), fault playbooks for 429 / AI model 429 / function timeout / function 404 / ACCESS_TOKEN_INVALID / zero invocations, or a scheduled patrol that reports only new or worse findings. Triggers on 巡检, 诊断, 告警, 峰值 QPS, 限频, 调用量为 0, 定时巡检, 每天检查, 值守, troubleshooting.AlteleFără 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↓ —
- soda-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when preparing or auditing a SODA (ACM-SIAM Symposium on Discrete Algorithms) submission — the no-page-limit full-version norm, the title-page abstract, 11-point single-column letter format, lightweight double-blind rules, HotCRP entry, and the July AoE deadline with its summary-rejection triggers.ProductivitateFără avertismente★ 1,4 K↓ —
- minutes-x1-closeoutsilverstein/minutesPrepare a sourced Minutes meeting outcome for human-governed closeout of existing X1 work. Use when the user wants a meeting decision or commitment to close, defer, escalate, or retire a specific X1 coordination thread. Never use it to infer settlement, move money, contact anyone, or close X1 work automatically.PlanificareFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- 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↓ —
- 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↓ —
train-sentence-transformers
huggingface/skills
OficialProductivitateActualizat acum 6 zile
De la autor
Train 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.
Instalare
npx skills add huggingface/skills --skill train-sentence-transformers -a claude-code
Se instalează în .claude/skills/train-sentence-transformers/ · 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
Rulează scripturile incluseFolosește rețeauaLicență: APACHE-2.0
Verificări de siguranță pe SKILL.md
- Include scripturi pe care nu le-am verificatScăzut
De ce 88
Securitate85
Proveniență100
Întreținere100
Licență100
Adopție63
Fișiere (31)
- SKILL.md
- references/base_model_selection.md
- references/dataset_formats.md
- references/evaluators_cross_encoder.md
- references/evaluators_multi_vector_encoder.md
- references/evaluators_sentence_transformer.md
- references/evaluators_sparse_encoder.md
- references/hardware_guide.md
- references/hf_jobs_execution.md
- references/losses_cross_encoder.md
- references/losses_multi_vector_encoder.md
- references/losses_sentence_transformer.md
- încă 19