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 17 ore
49.492 de skill-uri
- performance-optimizationrampstackco/claude-skillsDiagnose and fix web performance issues including Core Web Vitals (LCP, INP, CLS), bundle size, asset optimization, render performance, and runtime efficiency. Use this skill whenever the user wants to improve page speed, fix Core Web Vitals, optimize assets, reduce bundle size, debug slow renders, or systematically improve a site's performance. Triggers on performance, page speed, Core Web Vitals, LCP, INP, CLS, FID, TTFB, bundle size, code splitting, image optimization, lazy loading, render blocking, slow page, performance audit, Lighthouse score. Also triggers when traffic or conversion is dropping due to perceived slowness.MediaFără avertismente★ 1 K↓ —
- skill-creation-walkthroughrampstackco/claude-skillsStep-by-step guide for creating your own Claude Skills, from deciding whether a skill is the right tool to writing the SKILL.md file, structuring reference material, and making it trigger reliably. Use when you want to package a workflow, framework, or repeated task into a reusable Skill, when an existing skill is not triggering or not loading the right context, when you are auditing a skill that is underperforming, or when you want to publish a skill for others. Also triggers when someone asks "how do I make a skill" or "what makes a good skill". Useful for individuals, teams, and anyone publishing skills publicly.RedactareFără avertismente★ 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
- assign-offline-profilemicrosoft/power-platform-skillsUse when the user needs to bind users or teams to a Mobile Offline Profile so they actually receive offline sync on their devices. Without this, the profile exists in Dataverse but no one's app uses it.AlteleFără avertismente★ 1,1 K↓ —
- generate-release-noteshuytieu/COG-second-brainGenerate categorized release notes from any source (GitHub, Linear, Jira, or manual input) with optional publishingProductivitateFără avertismente★ 1,3 K↓ —Apare și în 1 alt depozit
- kubernetes-operatoralirezarezvani/claude-skillsUse when building a Kubernetes operator or CRD (controller-runtime, kubebuilder, operator-sdk, KOPF), before writing the controller. Validates CRDs with crd_validator.py, lints reconcile loops with reconcile_lint.py and scores OperatorHub capability level.DevOpsFără avertismente★ 29,3 K↓ —
- <provider-id>Anil-matcha/awesome-muse-connectors<What it does, one line>. Trigger phrases: <phrases>.AlteleFără avertismente★ 1,4 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↓ —
- analyze-performance-intakegooseworks-ai/goose-skillsStep of the analyze-performance playbook: gathers the week's numbers from tools, exports and pastes, cleans them, and writes the coverage line or switches to claims-only mode. Run analyze-performance instead; not for direct use.RedactareFără avertismente★ 1,3 K↓ —
- clickhashgraph-online/awesome-codex-pluginsRecord revision-aware evidence for software work by default, or bind higher-risk execution to one human-readable approval contract in Guarded mode. Use when Click Hook context enables Evidence or Guarded mode, or when the user explicitly selects Click. Do not use for questions or explanations.JuridicFără avertismente★ 1,5 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↓ —
- port-featuresNoudzhng/skillsPort a feature from an existing repository by copying its actual code and editing the copy, so its bug fixes and behavioral nuances survive. Use when asked to copy or port an existing feature (especially an exact copy), when moving one into a different framework or host, or when a previous reimplementation missed upstream behavior.RedactareFără 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↓ —
- api-design-revieweralirezarezvani/claude-skillsUse for any PR or spec that adds or changes REST endpoints, before approving it. Lints conventions with api_linter.py, detects breaking changes with breaking_change_detector.py and scores the design with api_scorecard.py.DesignFără avertismente★ 29,3 K↓ —
- agent-run-forensicsNoualirezarezvani/claude-skillsUse when asked why an agent did something, what a past session or run changed, whether tests really passed, or to verify a session summary. Answers from the recorded transcript, not memory, with trace_finder.py, trace_timeline.py and claim_checker.py.SecuritateFără avertismente★ 29,3 K↓ —
- env-linthashgraph-online/awesome-codex-pluginsValidate .env files against .env.example without printing valuesAlteleFără avertismente★ 1,5 K↓ —
- notebooklmalirezarezvani/claude-skillsUse for anything in Google NotebookLM: querying notebooks, adding sources, generating Audio or Video Overviews, reports, flashcards or slides. Drives the browser; needs browser automation.DocumenteFără avertismente★ 29,3 K↓ —
- 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↓ —
- book-inithashgraph-online/awesome-codex-pluginsPhase 0: Onboarding. Define genre, reader, language, scope, and voice; capture the author's voice fingerprint; index source material; generate PRD.md and STYLE.md.PlanificareFără avertismente★ 1,5 K↓ —
- clinical-researchalirezarezvani/claude-skillsUse when designing a prospective clinical study: choosing primary and secondary endpoints, estimating sample size and power, or scoring feasibility before submission. Runs endpoint_selector.py, sample_size_estimator.py and phase_gate_scorer.py; outputs are estimates for a biostatistician to confirm.ȘtiințăFără avertismente★ 29,3 K↓ —
- add-atomic-chat-toolnanocoai/nanoclawAdd Atomic Chat MCP server so the container agent can call local models served by the Atomic Chat desktop app via its OpenAI-compatible API.InginerieFără avertismente★ 31,1 K↓ —
- migrate-from-openclawnanocoai/nanoclawMigrate from OpenClaw to NanoClaw v2. Detects an existing OpenClaw installation, extracts identity, channel credentials, scheduled tasks, and other config, then guides interactive migration. Triggers on "migrate from openclaw", "openclaw migration", "import from openclaw".ProductivitateFără avertismente★ 31,1 K↓ —
atc-submission
brycewang-stanford/Awesome-Journal-Skills
ȘtiințăActualizat 27 sept. 2026
De la autor
Use when auditing an ATC (ACM SIGOPS Annual Technical Conference, formerly USENIX ATC) submission for HotCRP readiness — the paired two-page extended abstract plus full paper, the two-column 12/6-page budget, the double-blind anonymity sweep, ACM Open Access publication, and desk-reject triage before the early-June AoE cutoff.
Instalare
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill atc-submission -a claude-code
Se instalează în .claude/skills/atc-submission/ · 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 (1)
- SKILL.md