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.
47.966 de skill-uri din 2.309 depozite · actualizat acum 16 ore
46.854 de skill-uri
- spoon-plannermohitagw15856/pm-claude-skillsBudget limited energy the way spoon theory describes it — count your realistic daily 'spoons', price what each task actually costs (including the invisible ones), protect the non-negotiables, and plan for the days you'll have far fewer. Use when someone says 'I only have so much energy', 'help me pace with my chronic illness', 'I keep crashing', or lives with ME/CFS, long COVID, fibromyalgia, POTS, MS, or any limited-capacity condition. Produces a spoon budget, a task price list, and a pacing plan that respects payback and post-exertional crashes. A self-management tool, not medical advice.PlanificareFără avertismente★ 1,5 K↓ —
- ai-feature-prdmohitagw15856/pm-claude-skillsWrite a PRD for an AI-powered feature, covering the things normal PRDs miss. Use when asked to spec an AI/LLM feature, write a PRD for a feature that uses a model, or plan an AI capability (assistant, summarizer, generator, classifier). Produces an AI feature PRD — problem & UX of uncertainty, model approach, eval criteria, guardrails, fallback behaviour, the data flywheel, and cost/latency budget.PlanificareFără avertismente★ 1,5 K↓ —
- 02-ref-hallucination-arenaagentscope-ai/OpenJudgeBenchmark LLM reference recommendation capabilities by verifying every cited paper against Crossref, PubMed, arXiv, and DBLP. Measures hallucination rate, per-field accuracy (title/author/year/DOI), discipline breakdown, and year constraint compliance. Supports tool-augmented (ReAct + web search) mode. Use when the user asks to evaluate, benchmark, or compare models on academic reference hallucination, literature recommendation quality, or citation accuracy.ȘtiințăFără avertismente★ 996↓ —
- meeting-notesmohitagw15856/pm-claude-skillsStructure and format meeting notes following PM best practices. Use when asked to create meeting notes, format discussion notes, capture action items, or document decisions from any meeting type. Produces structured notes with decisions, action items (owner + deadline), open questions, and next steps.ProductivitateFără avertismente★ 1,5 K↓ —
- strategy-memomohitagw15856/pm-claude-skillsWrite a strategy memo that commits to a bet and says what you won't do. Use when asked to write a strategy memo, articulate a strategy, make the case for a strategic direction, or align the team on where to focus. Produces a strategy memo — the strategic question, the diagnosis, the bet/approach, why now, explicit non-goals (what we're NOT doing), how we'll know it's working, and the risks.RedactareFără avertismente★ 1,5 K↓ —
- product-ui-tastehuytieu/COG-second-brainAnti-slop skill for PRODUCT UI - dashboards, data tables, forms, multi-step flows, settings, list/detail, app shells. The agent reads the surface, budgets the frame first, and ships dense interfaces that are correct at every edge case (overflow, long labels, empty/error/loading states, i18n expansion, keyboard/a11y). House-system-first; maps to Carbon/Polaris/Atlaskit/Fluent/Primer/Material3/Radix-shadcn/Ant. The counterpart to taste-skill, which owns landing/portfolio/marketing.DesignFără avertismente★ 1,3 K↓ —Apare și în 1 alt depozit
- budget-buildermohitagw15856/pm-claude-skillsBuild a realistic personal monthly budget from someone's income and expenses. Use when asked to make a budget, plan monthly spending, allocate income, or get finances under control. Produces a categorized budget (a 50/30/20-style allocation tuned to their reality), a surplus/shortfall number, and concrete next moves. Educational, not regulated financial advice.FinanțeFără avertismente★ 1,5 K↓ —
- figma-implement-designopenai/skillsTranslates Figma designs into production-ready application code with 1:1 visual fidelity. Use when implementing UI code from Figma files, when user mentions "implement design", "generate code", "implement component", provides Figma URLs, or asks to build components matching Figma specs. For Figma canvas writes via `use_figma`, use `figma-use`.OficialDesignFără avertismente★ 28,4 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★ 11,2 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★ 11,2 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★ 11,2 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★ 11,2 K↓ —
- agentlas-graphagentlas-ai/Agentlas-OSUse when the user types /agentlas-graph, /agentlas graph, or /hep-graph to create, list, inspect, or run Agentlas automation graphs.AlteleFără avertismente★ 1,6 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★ 11,2 K↓ —
- mcp-mocked-markeralibaba/skill-upMCP mocked marker smoke skill used by skill-up e2e tests.TestareFără avertismente★ 1,4 K↓ —
- appllama-usageAppllama/appllama-skillsUse the Appllama MCP (mcp.appllama.io) well — research real top-grossing mobile apps, their screens, flows, and UI elements, then build from what you learn. Load when the Appllama MCP is connected and the task involves building a mobile app or screen, researching app design patterns, studying onboarding/paywall/feature flows, improving an existing screen, or whenever an appllama_* / search_apps / list_app_screens tool is available. Covers the tool map, pagination, expiring media, and the full build-from-research playbooks.DesignFără avertismente★ 3,8 K↓ —
- review-cockpithuytieu/COG-second-brainSelf-evolving second brain with 35 AI skills, 10 agents, and people CRM. Closed-loop harness: a V-model verification lifecycle where the worker never grades its own homework. Plus paired anti-slop design skills for marketing and product UI. Works with Claude Code, Cursor, Kiro, Gemini CLI, Codex.InginerieFără avertismente★ 1,3 K↓ —
- knowledge-consolidationhuytieu/COG-second-brainBuild frameworks from scattered insights across all braindumps and notesProductivitateFără avertismente★ 1,3 K↓ —Apare și în 1 alt depozit
- loop-engineeringhuytieu/COG-second-brainShared loop-engineering reference for COG skills - the agent loop, deterministic verifiers, termination conditions, in-loop context management, and named patterns. Invoke when designing or debugging a skill that iterates (search-verify-retry, scan-until-dry, fetch-retry-gate).InginerieFără avertismente★ 1,3 K↓ —
- setupmicrosoft/power-platform-skillsUse when Process Intelligence needs building, explicit cloud/account/environment configuration, sign-in, connection diagnostics, or recovery from an authentication error.AlteleFără avertismente★ 1,1 K↓ —
- preview-screensmicrosoft/power-platform-skillsUse when the user wants to preview generated screens in a browser without starting Metro / a simulator — for example after /create-mobile-app finishes or after /edit-app regenerates a screen.BrowserFără avertismente★ 1,1 K↓ —
- social-media-kithuytieu/COG-second-brainAttach native media (teaser video, GIF, card images) to every social post, with per-platform upload stepsMarketingFără avertismente★ 1,3 K↓ —
- list-connectionsmicrosoft/power-platform-skillsLists Power Platform connections in the current environment. Use when you need a connection ID before adding a connector to a code app.InginerieFără avertismente★ 1,1 K↓ —
- masking-budgetmohitagw15856/pm-claude-skillsTreat neurodivergent masking as a daily energy budget — audit what passing as neurotypical actually costs you, where the spend is worth it, where you can safely drop the mask, and how to plan a heavy-masking day so you don't crash after. Use when someone says 'I'm exhausted from masking', 'work drains me and I don't know why', 'how do I unmask safely', or is autistic/AuDHD/ADHD and burning out socially. Produces a mask-cost audit, a spend/drop map, and a recovery plan. A self-knowledge tool, not a diagnosis or therapy.PlanificareFără avertismente★ 1,5 K↓ —
experimentation-analytics
rampstackco/claude-skills
DateActualizat acum 4 zile
De la autor
How to read experiment results without fooling yourself. Confidence intervals, p-values, multiple testing, sequential testing, CUPED, heterogeneous treatment effects, ratio metrics, network effects, dashboard reconciliation, and the interpretation failures that produce confidently wrong shipping decisions. Use this skill whenever the user is reading a finished experiment result panel and about to make a ship, kill, or iterate decision, or when an experiment number does not match the dashboard number. Triggers on read experiment results, result panel, ship or kill decision, p-value, confidence interval, statistical significance, multiple testing, peeking, sequential testing, CUPED, variance reduction, heterogeneous treatment effects, ratio metric, network effects, inconclusive test, experiment versus dashboard mismatch. Use `experiment-design` instead when the test has not run yet and the question is hypothesis, sample size, duration, or what to test.
Instalare
npx skills add rampstackco/claude-skills --skill experimentation-analytics -a claude-code
Se instalează în .claude/skills/experimentation-analytics/ · 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
Proveniență76
Întreținere100
Licență100
Adopție49
Fișiere (9)
- README.md
- SKILL.md
- references/analytics-platform-comparison.md
- references/common-interpretation-failures.md
- references/confidence-interval-cheatsheet.md
- references/dashboard-vs-experiment-reconciliation.md
- references/p-value-interpretation-guide.md
- references/result-presentation-templates.md
- references/statistical-method-reference.md