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 10 ore
48.451 de skill-uri
- harvesthuytieu/COG-second-brainCapture durable session learnings, stage for human promotion to 05-knowledge/lizard, and propose skill/CLAUDE.md patches. Triggered by /harvest, SessionEnd hook staging, or nightly enhance. Never writes durable knowledge without your approval.RedactareFără avertismente★ 1,3 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↓ —
- 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
- article-page-generatorkostja94/marketing-skillsDeprecated compatibility entry for Article Page construction. This page is now maintained in Pagina; install and use page-builder to build a new Article Page.RedactareFără avertismente★ 1,1 K↓ —
- hf-cloud-sagemaker-production-defaultshuggingface/skillsCreate a SageMaker endpoint (real-time, real-time scale-to-zero, or async) with autoscaling, CloudWatch alarms, and tagging enabled by default. Use this skill whenever about to create a SageMaker endpoint, write deployment code that calls `create_endpoint`, or finalize a deployment after the image URI and IAM role are known. Provides deploy.py for real-time endpoints, deploy_ic.py for real-time endpoints that scale to zero instances via inference components, and deploy_async.py for async endpoints (also scale-to-zero). This is the last step in the SageMaker deployment workflow. Never generate a bare `create_endpoint` call without these defaults — endpoints without autoscaling or alarms are demos, not deployments.OficialDevOpsFără avertismente★ 11,3 K↓ —
- hf-cloud-serving-image-selectionhuggingface/skillsPick the right serving container for a SageMaker model deployment and find its current image URI. Use this skill whenever about to deploy a model to a SageMaker endpoint and an image URI needs to be chosen — including when the user says "deploy this LLM", "host this HuggingFace model", "serve this fine-tuned model", "deploy this embedding model", "host a reranker", "serve a sentence-transformers model", or when about to hardcode any container URI in deployment code. HuggingFace-curated Deep Learning Containers are ALWAYS preferred: HuggingFace vLLM (LLMs and generative rerankers), HuggingFace vLLM-Omni (multimodal), TEI (embeddings/cross-encoder rerankers), HF Inference Toolkit (other transformers). Generic images (AWS vLLM, DJL-LMI, SGLang) are used only when no HuggingFace image is compatible — never merely because they carry a newer version. Never hardcode a container URI from memory and never default to TGI. Prevents stale-image failures and wrong-region URIs.OficialMediaFără avertismente★ 11,3 K↓ —
- contest-page-generatorkostja94/marketing-skillsDeprecated compatibility entry for Contest Page construction. This page is now maintained in Pagina; install and use page-builder to build a new Contest Page.AlteleFără 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↓ —
- cloud-securityalirezarezvani/claude-skillsUse when checking AWS, Azure or GCP for security misconfigurations: IAM privilege escalation, public buckets, open security groups, IaC gaps. Runs cloud_posture_check.py and maps findings to MITRE ATT&CK.SecuritateFără avertismente★ 29,3 K↓ —
- onboarding-croalirezarezvani/claude-skillsUse when activation, time-to-value or a first-run experience after signup needs work, before redesigning it. Finds the activation drop-off with activation_funnel_analyzer.py.MarketingFără avertismente★ 29,3 K↓ —
- pricing-page-generatorkostja94/marketing-skillsDeprecated compatibility entry for Pricing Page construction. This page is now maintained in Pagina; install and use page-builder to build a new Pricing Page.AlteleFără avertismente★ 1,1 K↓ —
- product-skillsalirezarezvani/claude-skillsUse when a product request needs routing across the product-team skills (prioritization, OKRs, UX research, experiments, discovery, roadmaps), or to run the continuous discovery loop. Routes with product_goal_router.py and gates with discovery_cadence_tracker.py and ost_linter.py.DesignFără avertismente★ 29,3 K↓ —
- judge-rem-memory-updatessno-ai/sno-stationJudge REM memory relations, rewrites, verification, and clause carry by meaning. Use for REM update model calls that decide which older facts are superseded, which facts remain current, and whether a proposed rewrite preserves all surviving facts.ProductivitateFără avertismente★ 1,1 K↓ —
- cro-advisoralirezarezvani/claude-skillsUse for B2B revenue leadership: forecasting, quotas, sales model, NRR and churn, pricing or sales capacity. Forecasts with revenue_forecast_model.py and analyzes churn with churn_analyzer.py.MarketingFără avertismente★ 29,3 K↓ —
- extract-atomic-memorysno-ai/sno-stationRead one conversation window and return every independently mutable claim it states, one record each, with who or what it is about, whether it happened or stands, and the words that carry its time. Used by the memory extraction model on every conversation window; the engine resolves dates, validates keys, and repairs format.ProductivitateFără avertismente★ 1,1 K↓ —
- changelog-page-generatorkostja94/marketing-skillsDeprecated compatibility entry for Changelog Page construction. This page is now maintained in Pagina; install and use page-builder to build a new Changelog Page.AlteleFără avertismente★ 1,1 K↓ —
- publish-to-confluencehuytieu/COG-second-brainPublish any markdown file from the vault to Confluence with format conversion and approval gateMarketingFără avertismente★ 1,3 K↓ —
- capturealirezarezvani/claude-skillsUse whenever the user unloads a messy brain dump of ideas, tasks and plans ('capture this', 'brain dump', a long unstructured paste) and wants it organized. Sorts it with dump_classifier.py into projects, tasks and connections with nothing lost.PlanificareFără avertismente★ 29,3 K↓ —Apare și în 1 alt depozit
- oma-architecturefirst-fluke/oh-my-agentArchitecture specialist for software/system design, module and service boundaries, tradeoff analysis, and stakeholder synthesis. Uses context-aware methods such as diagnostic routing, design-twice comparison, ATAM-style risk analysis, CBAM-style prioritization, and ADR-style decision records.PlanificareFără avertismente★ 1,4 K↓ —
- oma-skill-creationNoufirst-fluke/oh-my-agentCreate or revise OMA skills and their references. Use for skill routing, execution contracts, conditional loading, and authoring validation.AlteleFără avertismente★ 1,4 K↓ —
lower-my-bill
mohitagw15856/pm-claude-skills
RedactareActualizat acum 17 ore
De la autor
Negotiate a recurring bill down — internet, phone, insurance, cable, gym — with a ready-to-read script, the competitor leverage that actually moves the price, and exactly what to say when they say no. Use when asked to lower my bill, negotiate my internet/phone bill, my provider raised my price, or how do I get a discount on [service]. Produces a call-or-chat script in your words, the specific leverage for your situation, a fallback ladder (discount → downgrade → cancel lever), and a note of what to write down so the promised deal actually sticks.
Instalare
npx skills add mohitagw15856/pm-claude-skills --skill lower-my-bill -a claude-code
Se instalează în .claude/skills/lower-my-bill/ · 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
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De ce 88
Securitate100
Proveniență78
Întreținere100
Licență100
Adopție51
Fișiere (1)
- SKILL.md