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.
49.409 skill-uri din 2.375 de depozite · actualizat acum 3 ore
49.409 skill-uri
- gentle-designGentleman-Programming/gentle-shellTrigger: design a screen or page, mockup, landing page, UI directions, artboards, try a different approach, design system sync. Write self-contained HTML design directions under design/<slug>/.DesignFără avertismente★ 1,5 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↓ —
- weekly-reporthoangsonww/Claude-Code-Agent-MonitorCompile a weekly productivity report using Agent Monitor data — daily_sessions and daily_events trends, per-session costs from pricing engine, token volumes (input/output/cache_read/cache_write + baselines), tool usage top 20, session completion rates by status, and workflow intelligence metrics.ProductivitateFără avertismente★ 1,1 K↓ —
- squadraActualizatdagoSte/squadraCoordinates work entrusted to several Codex, Claude, Cursor or mixed windows, with tasks, acknowledgements, proofs, a non-author reviewer and a persistent registry. Includes squadra dash to view the activity and squadra selftest to test the protocol. Use when the owner asks for a squad (squadra), a coordinator/builders/reviewer, resuming a squad or its dashboard; it does not impose this scheme on ordinary changes in a single window.TestareFără avertismente★ 1,3 K↓ —
- render-hypermotiongooseworks-ai/goose-skillsAssemble the FREE steps of the product-hypermotion + kinetic-typography video format — dice ONE Seedance 2.0 hypermotion clip into 5-6 segments and intercut them with PIL kinetic-typography spec/CTA cards (italic skew, 1.08x outline echo, 3D extrusion, slam-with-shake, inversion flash) plus a real-logo PIL end card (base64-decoded from the brand SVG), center-crop 1:1 to 9:16, and explicit-map mux a music bed. Deterministic, FREE (PIL + FFmpeg), no paid calls, the real logo and spec typography stay pixel-crisp. The paid steps (the ONE Seedance i2v, the music) are separate capabilities; the recipe orchestrates them. Use for the product-hypermotion format.MediaFără avertismente★ 1,3 K↓ —
- company-contact-findergooseworks-ai/goose-skillsFind decision-makers at a specific company using Fiber, Crustdata and PDL people search inside the GooseWorks coworker. Given a company name and target titles, returns a list of contacts with name, title, LinkedIn URL, and location.MarketingFără avertismente★ 1,3 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↓ —
- skill-testeralirezarezvani/claude-skillsUse when authoring or auditing a skill in this ecosystem, before release. Validates structure with skill_validator.py, runs its scripts with script_tester.py and grades quality and security with quality_scorer.py and security_scorer.py.SecuritateFără avertismente★ 29,2 K↓ —
- daily-budget-checkhoangsonww/Claude-Code-Agent-MonitorRun a daily spend check-in against a daily budget on the Agent Monitor dashboard — today's spend vs the daily target, pace through the day, and the projected overage if the current pace holds. Uses /api/pricing/cost and /api/sessions (grouped by started_at = today). Use for a quick daily spend check-in or a morning/evening budget pulse.InginerieFără avertismente★ 1,1 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↓ —
- reliability-reporthoangsonww/Claude-Code-Agent-MonitorGenerate a CCAM reliability report from session outcomes, hook events, alerts, tool failures, and data freshness. Use for health reviews, incident follow-up, hook-delivery audits, or reliability trend summaries.ProductivitateFără avertismente★ 1,1 K↓ —
- sprint-summaryhoangsonww/Claude-Code-Agent-MonitorSummarize a sprint's worth of Claude Code activity — sessions grouped by project (cwd), per-model cost breakdown, token efficiency (cache hit rate, compaction baselines), subagent effectiveness from workflow API, velocity metrics (turn_count, turn_duration_ms), and tool diversity across the sprint.ProductivitateFără avertismente★ 1,1 K↓ —
- inithashgraph-online/awesome-codex-pluginsSet up docflow in a repo with no docs yet: scaffold the docs tree, write docflow.json, add agent guidance. Use when asked to "set up docflow", "initialize docs", "scaffold docs", or "make this repo use docflow".RedactareFără avertismente★ 1,5 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↓ —
- 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
- hephaestus-buildagentlas-ai/Agentlas-OSUse when the user types /prompts:hep-build or /agentlas-build, mentions @Hephaestus for build work, asks to create a single Agentlas agent, create a multi-agent team, or package an existing local/external agent into Agentlas architecture.PlanificareFără avertismente★ 1,6 K↓ —
- legacy-lettermohitagw15856/pm-claude-skillsWrite a letter to the people you love, to be read later — the things you'd want them to know, the stories only you hold, the permission and the love that outlive you. Use when someone says 'help me write a letter to my kids/partner', 'legacy letter', 'ethical will', 'something for them to have when I'm gone', or is facing illness, aging, deployment, or simply wants to. Produces a warm, true letter in the writer's own voice — one to each person, or one to all — plus a light plan for when and how it's found. An emotional-legacy tool, not legal (it is not a will).DevOpsFără avertismente★ 1,5 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↓ —
- minutes-live-sidekicksilverstein/minutesAct as the user's live meeting sidekick inside the current terminal agent session. Use when the user explicitly asks you, the terminal agent, to watch a meeting, follow the live transcript, answer during the call, offer strategist thoughts, silently watch for risks, or track decisions. Do not use this skill to start or control the separate Minutes Coach HUD; explicit Coach or HUD lifecycle requests belong to minutes-copilot, and an ambiguous request such as "coach me live" requires one short surface clarification.AlteleFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- cavemanActualizatalirezarezvani/claude-skillsUltra-short replies that cut tokens about 75% by dropping filler, articles and pleasantries while staying technically accurate. Use whenever the user says caveman mode, talk like caveman, use caveman, less tokens, be brief, too wordy, or invokes /caveman.AlteleFără avertismente★ 29,2 K↓ —
- sprint-briefmohitagw15856/pm-claude-skillsGenerate a structured sprint brief from sprint data and goals. Use when asked to write a sprint brief, create a sprint summary, document sprint goals and scope, or produce a team-facing sprint overview. Produces a scannable brief with sprint goal, rationale, grouped work, critical path, risks, and definition of done.RedactareFără avertismente★ 1,5 K↓ —
- oma-observabilityfirst-fluke/oh-my-agentDesign or troubleshoot telemetry, SLOs, and incident diagnostics. Route to the relevant signal, system boundary, or vendor guide.DevOpsFără avertismente★ 1,4 K↓ —
commercial-forecaster
alirezarezvani/claude-skills
MarketingActualizat acum 15 ore
De la autor
Use when building a bookings, ARR, pipeline or NRR forecast, or a commit, best-case and pipeline board number. Forecasts with bookings_forecaster.py, projects cohorts with cohort_arr_projector.py and scores stage confidence with funnel_confidence_scorer.py, showing every conversion assumption.
Instalare
npx skills add alirezarezvani/claude-skills --skill commercial-forecaster -a claude-code
Se instalează în .claude/skills/commercial-forecaster/ · 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 incluseNu am văzut acces la rețeaLicență: MIT
Verificări de siguranță pe SKILL.md
- Include scripturi pe care nu le-am verificatScăzut
De ce 88
Securitate85
Proveniență94
Întreținere100
Licență100
Adopție69
Fișiere (8)
- SKILL.md
- assets/forecast_intake_template.md
- references/cohort_analysis_canon.md
- references/forecast_anti_patterns.md
- references/saas_forecasting_canon.md
- scripts/bookings_forecaster.py
- scripts/cohort_arr_projector.py
- scripts/funnel_confidence_scorer.py