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 14 ore
46.854 de skill-uri
- my-energy-mapmohitagw15856/pm-claude-skillsMap your real energy through the day and week, then match your tasks to it — hard things when you're sharp, easy things when you're not. Use when asked when should I do my hard work, map my energy, why am I so unproductive at certain times, or schedule around my focus. Produces a picture of your energy peaks, troughs, and patterns from your own observations, a task-to-energy matching plan (deep work at peaks, admin at troughs), the traps you're currently falling into, and a realistic daily shape — because fighting your natural rhythm wastes your best hours on your worst tasks.PlanificareFără avertismente★ 1,5 K↓ —
- thesis-outlinemohitagw15856/pm-claude-skillsBuild a defensible thesis or dissertation outline — argument-first structure, chapter by chapter, with the through-line visible. Use when asked to outline my thesis, structure my dissertation, plan my capstone, or organize my research into chapters. Produces a full outline: the one-sentence thesis, chapter map with each chapter's job and claim, evidence allocation, and the risk register of weak links an examiner would probe.ȘtiințăFără avertismente★ 1,5 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↓ —
- stock-analysisalirezarezvani/claude-skillsProduce a rigorous, sector-relative, multi-factor fundamental analysis of a publicly listed company — Indian (NSE/BSE) or US/global. Use when the user asks to analyse, research, evaluate, or value a stock, ticker, or listed company; asks whether a business is fundamentally strong, cheap, or expensive; compares companies or benchmarks one against its sector; or mentions OPM, ROCE, ROE, ROIC, P/E, EV/EBITDA, free cash flow, NIM, GNPA, CASA, promoter holding or pledging. Use it for accounting-quality and forensic questions — "is the profit real", "why is profit rising but cash isn't", auditor qualifications, related-party concerns — which route to the forensic-only mode, and for IPOs and not-yet-listed companies — "should I apply to this IPO", DRHP/RHP or S-1 questions, price band, grey market premium — which route to the IPO mode. Use it even when the request sounds casual ("is Infosys any good?"). Do not use it for personalised investment advice, portfolio allocation, or trading signals.FinanțeFără avertismente★ 29 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↓ —
- the-understudymohitagw15856/pm-claude-skillsStudy 3-5 samples of the user's real writing and decisions, build an explicit 'how you think' profile, then draft new work as their understudy — always with a 'what I couldn't infer about you' list so the gaps are visible instead of guessed. Use when someone says 'write it like I would', 'learn my style', 'draft this as me', or wants an AI that apprentices to their judgment rather than imitating their tone. Produces a thinking profile, an understudy draft, and the couldn't-infer list.RedactareFără avertismente★ 1,5 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↓ —
- shotshashgraph-online/awesome-codex-pluginsGenerate, revise, translate, and manage App Store marketing screenshots and app icon candidates through the hosted Shots MCP tools. Use for App Store screenshot creation, app icon generation, ASO screenshot strategy, screenshot revisions, localization, App Store listing scraping, and public App Store screenshot inspiration. Do not use for generic image generation.BrowserFără avertismente★ 1,5 K↓ —
- doca-ngaugeNouNVIDIA/skillsUse this skill when the operator is driving the DOCA ngauge tool to analyze, visualize, and debug network performance on a single node by probing NIC hardware counters and storing collected data in HDF5 format. Trigger even when the user does not say "DOCA ngauge" — implicit phrasings include "probe NIC hardware counters", "collect HDF5 performance data", "plot ngauge output", "sample counters on BlueField/ConnectX", "measure network performance on a single node", "debug network performance with hardware counters", "run ngauge YAML config", "parse ngauge HDF5 output". Refuse and route elsewhere: DOCA install/bring-up to doca-setup, version questions to doca-version, hardware/firmware state changes to doca-hardware-safety, raw packet I/O to doca-eth, and host-DPU messaging to doca-comch.InginerieFără avertismente★ 3,8 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↓ —
- research-competitors-category-passgooseworks-ai/goose-skillsStep of the research-competitors playbook: the worker brief covering the whole category, including searches, AI answers, community threads and category ad winners. Run research-competitors instead; not for direct use.ȘtiințăFără avertismente★ 1,3 K↓ —
- research-audience-account-sourcinggooseworks-ai/goose-skillsStep of the research-audience playbook: finds candidate accounts matching the fit definition, confirms gates, applies exclusions and dedupes. Run research-audience instead; not for direct use.ȘtiințăFără avertismente★ 1,3 K↓ —
- doca-devemuNVIDIA/skillsUse this skill when the user is doing hands-on DOCA Device Emulation on a BlueField DPU — exposing a custom emulated PCIe device the host sees as a real peripheral while DPU-side code runs the backend, picking the sub-library (PCI Generic, virtio-net, virtio-fs), wiring the per-sub-library Core context plus doorbell / DMA primitives, querying `doca_devemu_*_cap_*`, or debugging DOCA_ERROR_* from a `doca_devemu_*` call. Trigger even when the user does not say "devemu" — typical implicit phrasings include "expose a custom PCIe device from BlueField to the host", "host should see a virtio NIC backed by my DPU code", "lspci does not show my emulated device", "device enumerated but no driver binds", "DPU sees nothing when host kicks the queue", or "virtio feature negotiation failed at bind". Refuse and route elsewhere for the packaged DOCA SNAP / Virtio-net Services, host-side virtio kernel drivers, backend body design, or standard BlueField NIC behavior — those belong to other skills.DesignFără avertismente★ 3,8 K↓ —
- analyze-performance-call-and-learngooseworks-ai/goose-skillsStep of the analyze-performance playbook: calls ended tests, scores last week's calls, writes this week's kill/scale/hold calls and drafts learnings for the brand brain. Run analyze-performance instead; not for direct use.TestareFără avertismente★ 1,3 K↓ —
- analyze-performance-rank-and-readgooseworks-ai/goose-skillsStep of the analyze-performance playbook: ranks creative by angle, hook and format with spend gates, writes short per-channel reads and drafts what to make next. Run analyze-performance instead; not for direct use.RedactareFără avertismente★ 1,3 K↓ —
- dac-supplementarybrycewang-stanford/Awesome-Journal-SkillsUse when deciding what belongs inside the six reviewed pages of an ACM/IEEE Design Automation Conference (DAC) Research Manuscript versus in an external repository, given DAC's tight 6+1 budget, its references-only seventh page, the double-blind constraint on any linked material, and the absence of a formal reviewed-appendix or artifact-badging track.DesignFără avertismente★ 1,3 K↓ —
- run-organic-social-plan-calendargooseworks-ai/goose-skillsStep of the run-organic-social playbook: turns the audit, research and dated moments into a two-week grid of empty post slots. Run run-organic-social instead; not for direct use.PlanificareFără avertismente★ 1,3 K↓ —
- run-paid-campaigns-apply-and-loggooseworks-ai/goose-skillsStep of the run-paid-campaigns playbook: stages the week's approval items, applies only what the marketer approves and keeps the change log. Run run-paid-campaigns instead; not for direct use.AlteleFără avertismente★ 1,3 K↓ —
- analyze-performance-revenue-joingooseworks-ai/goose-skillsStep of the analyze-performance playbook: joins cleaned store or CRM numbers with ad spend to build the business-truth table, MER, new-customer cost and the overclaim ratio. Run analyze-performance instead; not for direct use.MarketingFără avertismente★ 1,3 K↓ —
- research-audience-fit-definitiongooseworks-ai/goose-skillsStep of the research-audience playbook: drafts the searchable fit definition, exclusions and list size that the list run then searches on. Run research-audience instead; not for direct use.ȘtiințăFără avertismente★ 1,3 K↓ —
- add-dial-toolnanocoai/nanoclawGive chosen NanoClaw agents a real phone number as a container tool — the `dial` CLI baked into the agent image plus OneCLI credential injection for api.getdial.ai, attached only to the agents you pick, so they can send SMS, place AI voice calls, and receive verification codes from inside the sandbox. Independent of the Dial channel; idempotent; re-run to change which agents may use it. Use when the user wants agents to text, call, or run `dial …` from a chat, without wiring Dial as a messaging channel.MediaFără avertismente★ 31,1 K↓ —
- itcs-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when deciding what counts as evidence for an ITCS theory claim — proofs as the primary evidence, worked examples and separations that make a model concrete, and the rare, well-scoped illustrative computation or simulation — and how to keep any computational content checkable and subordinate to the mathematics.MediaFără avertismente★ 1,3 K↓ —
- ux-designhashgraph-online/awesome-codex-pluginsUse when the user asks for UX, product flow, user journey, wireframes, usability, conversion, onboarding, checkout, signup, navigation, forms, state design, dashboard workflows, command palettes, settings, permissions, long-running task progress, admin/internal tools, activation, retention, or making an app easier to use over time. Designs and audits user experience flows, information architecture, content hierarchy, forms, onboarding, dashboards, settings, empty/loading/error/permission/success states, recovery paths, and repeated-use product ergonomics before visual polish. Pair with platform UI skills after the UX flow is clear.DesignFără avertismente★ 1,5 K↓ —
assign-offline-profile
microsoft/power-platform-skills
AlteleActualizat ieri
De la autor
Use 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.
Instalare
npx skills add microsoft/power-platform-skills --skill assign-offline-profile -a claude-code
Se instalează în .claude/skills/assign-offline-profile/ · 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
Proveniență76
Întreținere100
Licență100
Adopție49
Fișiere (1)
- SKILL.md