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 14 ore
49.492 de skill-uri
- orchestrating-agent-relayAgentWorkforce/relayThe canonical way to run agent-relay - self-bootstrap the local broker and autonomously spawn, monitor, and coordinate a team of worker agents without human intervention. Covers infrastructure startup, agent spawning, lifecycle monitoring, message-based reading via the relay MCP, and team coordination.DevOpsFără avertismente★ 1,1 K↓ —
- i18n-parityhoangsonww/Claude-Code-Agent-MonitorMANDATORY for every coding agent and contributor touching localized content — keep all five localization surfaces (dashboard UI keys, wiki page, full mirrored guides, locale-aware formatting, language switchers) in parity across every supported language. Use automatically (without being asked) whenever you add or change user-visible UI copy, add an i18n key, edit README-EN.md or a localized guide, edit wiki/index.html, or add a language surface.DesignFără avertismente★ 1,1 K↓ —Apare și în 1 alt depozit
- orchestrating-agent-relayAgentWorkforce/relayThe canonical way to run agent-relay - self-bootstrap the local broker and autonomously spawn, monitor, and coordinate a team of worker agents without human intervention. Covers infrastructure startup, agent spawning, lifecycle monitoring, message-based reading via the relay MCP, and team coordination.DevOpsFără avertismente★ 1,1 K↓ —
- creating-claude-agentsAgentWorkforce/relayUse when creating or improving Claude Code agents. Expert guidance on agent file structure, frontmatter, persona definition, tool access, model selection, and validation against schema.InginerieFără avertismente★ 1,1 K↓ —
- implementing-command-palettesAgentWorkforce/relayUse when building Cmd+K command palettes in React - covers keyboard navigation with arrow keys, keeping selected items in view with scrollIntoView, filtering with shortcut matching, and preventing infinite re-renders from reference instabilityMediaFără avertismente★ 1,1 K↓ —
- teamhashgraph-online/awesome-codex-pluginsOrg-level agent team designer via `epic team` CLI (cross-project, append-merge). Subcommands: list, show, sync, link, unlink, history. Use when setting up agents, designing teams, or /spec yields 3+ requirements.PlanificareFără avertismente★ 1,5 K↓ —
- oma-pdffirst-fluke/oh-my-agentConvert PDF files to Markdown using opendataloader-pdf. Extracts text, tables, headings, lists, and images with correct reading order. Use for PDF parsing, PDF to Markdown conversion, document extraction, and AI-ready data preparation.DocumenteFără avertismente★ 1,4 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↓ —
- 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↓ —
- 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-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↓ —
- 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↓ —
- 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
- 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★ 29,3 K↓ —
- x-twitter-growthalirezarezvani/claude-skillsUse for growing on X/Twitter: tweets, threads, profile audit, competitors or posting plan. Audits the profile with profile_auditor.py, drafts with tweet_composer.py and plans posts with content_planner.py.MarketingFără avertismente★ 29,3 K↓ —
- recording-architecture-decisionsGanyuanRan/AegisUse when the user asks to create, write, update, amend, supersede, or evaluate an ADR, architecture decision record, durable architecture decision, decision log, or baseline sync after architecture-changing work.PlanificareFără avertismente★ 1,4 K↓ —
- dispatching-parallel-agentsGanyuanRan/AegisUse when facing 2+ independent tasks without a written plan, with no conflicting shared mutable state or sequential dependencies, where parallel delegation beats inline cost; otherwise inline. Planned tasks use subagent-driven-development.RedactareFără avertismente★ 1,4 K↓ —
- first-principles-reviewGanyuanRan/AegisUse when asked for first-principles or Occam's-razor review, or when high-risk decisions involve competing constraints, fallback growth, duplicate owners, or architecture direction risk. Ordinary bug fixes stay on the fast path.InginerieFără avertismente★ 1,4 K↓ —
- 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↓ —
- ap-janitorSpielewoy/autoprompt-skillReport the compatibility redirect to `C0`; this retired role cannot perform new work.AlteleFără avertismente★ 1,2 K↓ —
- ap-plannerSpielewoy/autoprompt-skillReport the compatibility redirect to `ap-roadmap-author`; this retired role cannot perform new work.PlanificareFără avertismente★ 1,2 K↓ —
- public-relationskostja94/marketing-skillsWhen the user wants to plan PR, write a press release, or manage media relations. Also use when the user mentions "public relations," "PR," "press release," "media relations," "news release," "journalist," "media coverage," "product announcement," or "earned media." For on-site "As Seen In" or logos page, use press-coverage-page-generator.RedactareFără avertismente★ 1,1 K↓ —
- analytics-trackingkostja94/marketing-skillsCompatibility pointer for GA4 event, key-event and User-ID tracking; maintained in Open Analytics.DateFără avertismente★ 1,1 K↓ —
- spec-to-repoalirezarezvani/claude-skillsUse when the user says 'build me an app', 'create a project from this spec', 'scaffold a new repo', 'generate a starter', 'turn this idea into code', 'bootstrap a project', 'I have requirements and need a codebase', or provides a natural-language project specification and expects a complete, runnable repository. Stack-agnostic: Next.js, FastAPI, Rails, Go, Rust, Flutter, and more.PlanificareFără avertismente★ 29,3 K↓ —
cav-writing-style
brycewang-stanford/Awesome-Journal-Skills
De la autor
Use when revising a CAV (Computer Aided Verification) paper for a precise verification contribution on the first page, an explicit soundness/completeness statement, theorem-and-proof discipline in the LNCS page budget, fair benchmark claims, honest scope and limits, and double-blind wording for the anonymized categories.
Instalare
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cav-writing-style -a claude-code
Se instalează în .claude/skills/cav-writing-style/ · 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.
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- SKILL.md