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 15 ore
49.492 de skill-uri
- add-containerNouajnart/self-hostDCM Container work. Use to add or edit a Container in dcm/src/tools/, including an issue labelled `container` and then `accepted`, and the pull request dcm-add-container.yml opens from it. A Container is a compose snippet DCM offers for a product the Catalog does not install. Catalog Apps go to edit-catalog.RedactareFără avertismente★ 1,5 K↓ —
- image-to-uihashgraph-online/awesome-codex-pluginsRecreate an image, screenshot, or mockup as a 1:1 UI implementation. Match the reference rather than redesigning it, then render and compare the result to correct visible differences.DesignFără avertismente★ 1,5 K↓ —Apare și în 1 alt depozit
- steinwallhashgraph-online/awesome-codex-pluginsSteinWall cost, savings and safety information, and a security check for extensions. Use when the user asks what the coding agent costs today or this month, how much budget is left, what was blocked or saved, or before installing a skill, plugin or MCP server ("is this safe to install?", "check this skill").SecuritateFără avertismente★ 1,5 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↓ —
- ru-checkhashgraph-online/awesome-codex-pluginsFull Russian text quality check against the whole corpus. Triggers: вычитай, вычитай через ru-text, прогони ru-text, проверь текст по ru-text, ru-check, полная вычитка. Use when the user asks to proofread Russian text, or when a project gate names ru-text. Returns findings with the rule behind each and a proposed replacement; never edits a file. Self-initiated runs start with a fast triage and escalate on evidence; an explicit request always runs the full corpus.RedactareFără avertismente★ 1,5 K↓ —Apare și în 1 alt depozit
- django-htmxhashgraph-online/awesome-codex-pluginsBuild and review HTMX interactions in Django server-rendered projects, especially generated django-saas-starter apps. Use when adding hx attributes, partial template responses, request.htmx branching, django-htmx response headers, forms, swaps, triggers, redirects, polling, boosted links or forms, or coordinating HTMX with Alpine.js local state.MediaFără avertismente★ 1,5 K↓ —
- ru-scorehashgraph-online/awesome-codex-pluginsScore Russian text 0.0–10.0 across five dimensions: typography, clean language, grammar, structure, precision for the reader. Triggers: оцени текст, ru-score, оценка качества текста, насколько хорош текст, балл за текст. Use when the user wants a number rather than a list of findings. Never edits a file.DesignFără avertismente★ 1,5 K↓ —Apare și în 1 alt depozit
- kr-work-reportmohitagw15856/pm-claude-skillsUse when asked 보고서 써 줘, 주간보고 작성해 줘, 개조식으로 정리해 줘, 팀장님께 보고할 내용 정리, 1페이지 보고서, 업무 보고서 양식, or write a Korean business report or weekly report. Produces a Korean workplace report in 개조식 and 두괄식 style: a one-line conclusion, then 현황, 문제점, 대안 비교, 건의사항 and 향후 계획 for a 보고서, or 금주 실적, 차주 계획 and 이슈 및 협조 요청 for a 주간보고, with consistent noun-form endings, numbers and owners, plus a short verbal briefing version.RedactareFără avertismente★ 1,5 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↓ —
- 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↓ —
- architectNouhashgraph-online/awesome-codex-pluginsSettle structure before writing logic. Ground in the current code, get competing design sketches (types, signatures, modules, trust boundaries) through arena, implement against the merged sketch, scrap it on a friction pattern. Use for "architect this", "design X first".PlanificareFără avertismente★ 1,5 K↓ —
- smart-inithashgraph-online/awesome-codex-pluginsConversational onboarding for A Team. Detects ROADMAP.md, extracts context, generates INIT.md without requiring technical knowledge. Invoked automatically by the orchestrator when INIT.md is missing.PlanificareFără avertismente★ 1,5 K↓ —
- weekly-loophashgraph-online/awesome-codex-pluginsProduct weekly loop on the focus page: judge the last change, propose one next change with evidence.AlteleFără avertismente★ 1,5 K↓ —
- oma-pdffirst-fluke/oh-my-agentExtract PDF text, headings, tables, and images into Markdown using opendataloader-pdf. Use for PDF parsing, not PDF layout creation.DocumenteFără avertismente★ 1,4 K↓ —Apare și în 1 alt depozit
- 00-academic-routeragentscope-ai/OpenJudgeUse when the user wants help with academic papers or citations but it's unclear which specific workflow fits — reviewing a paper, checking a BibTeX file for fake references, or benchmarking multiple LLMs on reference-recommendation accuracy. Also use when the user mentions paper review, peer review, BibTeX verification, citation checking, reference hallucination, or academic literature accuracy and hasn't specified which of those three tasks they mean. This skill is the entry router for the academic-eval suite: it asks one diagnostic question then routes to the right sub-skill.ȘtiințăFără avertismente★ 1 K↓ —
- metric-designagentscope-ai/OpenJudgeUse when the user has evaluation principles or a dataset but needs help choosing the right graders, designing evaluation metrics, creating LLM-as-judge prompts, combining multiple metrics into a composite score, or building an automated evaluation pipeline. Also use when the user mentions grader selection, metric design, judge prompt engineering, rubric design, evaluation pipeline code, or "how to evaluate [X] automatically." Outputs executable OpenJudge pipeline code.DesignFără avertismente★ 1 K↓ —
- book-gamehashgraph-online/awesome-codex-pluginsGame narrative craft reference: branching architecture, quest design, dialogue systems, lore bible, player agency, and game-writing AI tells. Read by all agents on game scenarios, visual novels, and interactive fiction.DesignFără avertismente★ 1,5 K↓ —
- meta-evalagentscope-ai/OpenJudgeUse when the user wants to build an evaluation system for an LLM/agent application but doesn't know where to start — they have traces, prompts, RAG pipelines, or nothing at all. Also use when the user mentions evaluation, eval, benchmarking, testing LLM quality, measuring agent performance, assessing RAG accuracy, or wants to compare prompts/models. This skill is the entry router: it asks diagnostic questions then recommends which sub-skill (local workflow) to use next.TestareFără avertismente★ 1 K↓ —
- 02-rl-rewardagentscope-ai/OpenJudgeBuild RL reward signals using the OpenJudge framework. Covers choosing between pointwise and pairwise reward strategies based on RL algorithm, task type, and cost; aggregating multi-dimensional pointwise scores into a scalar reward; pairwise tournament reward for GRPO on subjective tasks (net win rate across group rollouts); generating preference pairs for DPO/RLAIF; and normalizing scores for training stability. Use when building reward models, scoring rollouts for GRPO/REINFORCE, generating preference data for DPO, or doing Best-of-N selection.ProductivitateFără avertismente★ 1 K↓ —
- book-edithashgraph-online/awesome-codex-pluginsPhase 4: Editing. Fact-check (nonfiction), assessment, developmental edit, line edit, copy edit, proofread, then a cold read by simulated readers that issues the readiness verdict. Rewrites the manuscript; does not only file reports.RedactareFără avertismente★ 1,5 K↓ —
- run-workhashgraph-online/awesome-codex-pluginsExecute a work unit end-to-end: sequence tasks by dependency, implement, test between tasks, commit, and track progress. Use to deliver a complete feature in one session. Invoked as /agiflow:run-work <work-unit>. Uses get_work_unit, list_tasks, update_task, get_work_unit_progress.TestareFără avertismente★ 1,5 K↓ —
- agy-nativehashgraph-online/awesome-codex-pluginsRun a supplied task in headless AGY (Antigravity, Gemini) and collect its result. Use when: AGY, Antigravity or Gemini is requested by name; never a fallback.ProductivitateFără avertismente★ 1,5 K↓ —Apare și în 2 alte depozite
- 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
- doca-comchNVIDIA/skillsUse this skill when the user is doing hands-on DOCA Comch work on a host + BlueField pair — bringing up host ↔ DPU PCIe control-plane messaging, picking server (DPU) vs client (host) roles, choosing slow-path send-task / recv-callback vs fast-path producer / consumer, querying max-msg-size or max-clients capabilities, registering connection callbacks, or debugging DOCA_ERROR_* returns from the Comch API. Trigger even when the user does not explicitly mention "DOCA Comch" or "Comm Channel" (renamed in DOCA 2.5) — typical implicit phrasings include "send a control message from host to BlueField over PCIe", "DPU can't see the host representor", "DOCA_ERROR_NOT_PERMITTED on server_create", "DOCA_ERROR_AGAIN on task_send submit", "connect callback never fires", or "stream bulk data from a host driver to a DPU agent". Refuse and route elsewhere for installing DOCA itself, BFB / firmware bring-up, non-Comch DOCA libraries, or deploying Comch apps at scale — those belong to other skills.DevOpsFără avertismente★ 3,9 K↓ —
jetson-customize-fan
NVIDIA/skills
RedactareActualizat acum 20 de ore
De la autor
Use when you need to add, remove, edit, list, or change the boot default of an nvfancontrol fan profile on a Jetson/Tegra (Orin, Thor) target. Triggers: edit fan profile, tune fan curve.
Instalare
npx skills add NVIDIA/skills --skill jetson-customize-fan -a claude-code
Se instalează în .claude/skills/jetson-customize-fan/ · 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: APACHE-2.0
Verificări de siguranță pe SKILL.md
- Folosește sudoScăzut
De ce 88
Securitate95
Proveniență83
Întreținere100
Licență100
Adopție57
Fișiere (5)
- BENCHMARK.md
- SKILL.md
- evals/evals.json
- skill-card.md
- skill.oms.sig