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 19 ore
47.966 de skill-uri
- skill-content-calendar-logZJU-REAL/Easel统一内容日历底座。记录每次发布（发布页/对话页均自动落库）、用户排期、平台活动/节日/特殊日期到 一个时间线，并供 Agent 规划前读回。当用户说"内容日历""日历里有什么""接下来发什么""这周发了啥" "把这个活动记到日历""最近的发布节奏""哪个平台该更新了"时触发。是发布时间线的权威底座， 与 skill-publish-log（指标底座）互补：本底座管"何时发什么/该做什么"，publish-log 管"每条数据表现"。ProductivitateFără avertismente★ 4,2 K↓ —
- vercel-hello-worldjeremylongshore/tons-of-skills-marketplaceCreate a minimal working Vercel deployment with a serverless API route. Use when starting a new Vercel project, testing your setup, or learning basic Vercel deployment and API route patterns. Trigger with phrases like "vercel hello world", "vercel example", "vercel quick start", "simple vercel project", "first vercel deploy".TestareFără avertismente★ 2,9 K↓ —
- skill-content-gap-analysisZJU-REAL/Easel分析社媒赛道的内容空白，发现高需求低竞争的蓝海选题机会。 当用户说"蓝海选题""内容空白""没人做的选题""选题机会""高需求低竞争""差异化选题""内容缺口"时使用。 和 skill-competitor-analysis 的区别：本 SKILL 从赛道供需交叉验证找蓝海选题空白； competitor-analysis 拆解具体竞品账号的内容策略。AlteleFără avertismente★ 4,2 K↓ —
- rag-blueprintNVIDIA/skillsNVIDIA RAG Blueprint — deploy, configure, troubleshoot, and manage. Handles any RAG action: deploy, install, start, enable, disable, toggle, change, configure, troubleshoot, debug, fix, shutdown, stop, or tear down any RAG feature or service (Agentic RAG, VLM, guardrails, query rewriting, models, search, ingestion, observability, summarization, reasoning, and more).DevOpsFără avertismente★ 3,8 K↓ —
- provider-test-patternshashicorp/agent-skillsTerraform provider acceptance test patterns using terraform-plugin-testing with the Plugin Framework. Covers test structure, TestCase/TestStep fields, ConfigStateChecks with custom statecheck.StateCheck implementations, plan checks, CompareValue for cross-step assertions, config helpers, import testing with ImportStateKind, sweepers, and scenario patterns (basic, update, disappears, validation, regression), and ephemeral resource testing with the echoprovider package. Use when writing, reviewing, or debugging provider acceptance tests, including questions about statecheck, plancheck, TestCheckFunc, CheckDestroy, ExpectError, import state verification, ephemeral resources, or how to structure test files.OficialTestareFără avertismente★ 910↓ —
- shapforyourhealth111-pixel/Vibe-SkillsModel interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box model.InginerieFără avertismente★ 3,8 K↓ —Apare și în 1 alt depozit
- skill-content-repurposingZJU-REAL/Easel将一篇内容拆解改编到小红书、抖音、B站、微博等多平台，适配各平台原生格式和风格。 当用户说"一稿多发""改编到各平台""内容复用""多平台适配""这篇改成小红书/抖音""转成其他平台""一鱼多吃"时使用。 和 skill-cross-platform-diff 的区别：diff 做平台差异洞察分析（发现层）；本 SKILL 实际改写内容到各平台。 和 skill-cross-platform-publish 的区别：本 SKILL 只改写适配内容，cross-platform-publish 负责实际一键分发到多平台。AlteleFără avertismente★ 4,2 K↓ —
- style-transferZJU-REAL/Easel文案风格迁移：把一段文案从一种风格改写成另一种风格（严肃→搞笑、书面→口语、文艺→直白、正式→社交媒体感）， 支持风格参考（给一段目标风格的示例文本）。 使用时机：用户说"改成搞笑风格"、"换个风格"、"风格迁移"、"改成口语化"、"改成文艺风"、 "像 XX 那样写"、"风格改写"、"换个腔调"。 和 text-polisher 的区别：polisher 提升质量不改风格，style-transfer 改变风格不做质量评估。AlteleFără avertismente★ 4,2 K↓ —
- runway-rate-limitsjeremylongshore/tons-of-skills-marketplaceAnalyze and control Runway generation concurrency, rolling daily quota, spend limits, and queued tasks without inventing an RPM cap. Use when production traffic is throttled or scaling. Trigger with: "Runway rate limits", "Runway THROTTLED tasks", "Runway concurrency".ProductivitateFără avertismente★ 2,9 K↓ —
- i4h-workflow-e2eNVIDIA/skillsRun the maintained workflow data-to-policy pipeline from recording through checkpoint validation. Use for full end-to-end requests; do not use for one individual stage.TestareFără avertismente★ 3,8 K↓ —
- vaexforyourhealth111-pixel/Vibe-SkillsUse this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create visualizations of big data, or build ML pipelines that do not fit in memory.DateFără avertismente★ 3,8 K↓ —Apare și în 1 alt depozit
- adobe-sdk-patternsjeremylongshore/tons-of-skills-marketplaceCreate narrow, version-pinned Adobe SDK and REST adapters with typed contracts, redaction, bounded polling, and compatibility evidence. Use when writing or upgrading integration code. Trigger with "Adobe SDK patterns", "wrap Adobe API", or "review Adobe client".RedactareFără avertismente★ 2,9 K↓ —
- runway-cost-tuningjeremylongshore/tons-of-skills-marketplaceReduce Runway credit waste through current pricing, duplicate prevention, model policy, and measured usage without publishing stale price tables. Use when reviewing spend. Trigger with: "optimize Runway cost", "Runway credit usage", "reduce Runway spend".AlteleFără avertismente★ 2,9 K↓ —
- vastai-rate-limitsjeremylongshore/tons-of-skills-marketplaceDiagnose and design bounded Vast.ai CLI and REST traffic around per-endpoint, per-identity rate limits and the absence of Retry-After headers. Use when implementing polling, batch automation, or 429 recovery. Trigger with: "handle Vast.ai 429", "reduce Vast.ai polling", "set Vast.ai retry policy".DesignFără avertismente★ 2,9 K↓ —
- token-integration-analyzertrailofbits/skillsToken integration and implementation analyzer based on Trail of Bits' token integration checklist. Analyzes token implementations for ERC20/ERC721 conformity, checks for 20+ weird token patterns, assesses contract composition and owner privileges, performs on-chain scarcity analysis, and evaluates how protocols handle non-standard tokens. Use when integrating or accepting arbitrary ERC20/ERC721 tokens, auditing a token implementation for standards conformity, or assessing risk from weird tokens such as fee-on-transfer, rebasing, missing return values, or blocklists.JuridicFără avertismente★ 7,9 K↓ —
- kiro-debuggotalab/cc-sddInvestigate implementation failures using root-cause-first debugging. Use when an implementer is blocked, verification fails, or repeated remediation does not converge.InginerieFără avertismente★ 3,7 K↓ —Apare și în 7 alte depozite
- gsd:inboxdavepoon/buildwithclaudeTriage and review all open GitHub issues and PRs against project templates and contribution guidelinesInginerieFără avertismente★ 3,7 K↓ —
- pyzoteroforyourhealth111-pixel/Vibe-SkillsInteract with Zotero reference management libraries using the pyzotero Python client. Retrieve, create, update, and delete items, collections, tags, and attachments via the Zotero Web API v3. Use this skill when working with Zotero libraries programmatically, managing bibliographic references, exporting citations, searching library contents, uploading PDF attachments, or building research automation workflows that integrate with Zotero.DocumenteFără avertismente★ 3,8 K↓ —Apare și în 1 alt depozit
- design-codeplugin87/ux-ui-agent-skillsGenerate production-ready, accessible, token-driven component code for ANY framework (React+Tailwind, Next.js, SwiftUI, Vue, Svelte, Angular, Solid, Web Components/Lit, React Native, Flutter, Jetpack Compose, vanilla CSS, or CSS-in-JS). Use when the user wants working UI code for a component or screen in a specific stack.DesignFără avertismente★ 3,1 K↓ —
- cairo-vulnerability-scannertrailofbits/skillsScans Cairo/StarkNet smart contracts for 6 critical vulnerabilities including felt252 arithmetic overflow, L1-L2 messaging issues, address conversion problems, and signature replay. Use when auditing StarkNet projects.SecuritateFără avertismente★ 7,9 K↓ —
- tao-train-ocrnetNVIDIA/skillsOCRNet for scene text recognition. Recognizes text content from cropped text-region images and supports CTC and attention-based decoders. Use when training, evaluating, exporting, pruning, quantizing, retraining, or running inference for a TAO OCRNet model. Trigger phrases include "train OCRNet", "scene text recognition", "OCR cropped text", "CTC / attention text decoder".AlteleFără avertismente★ 3,8 K↓ —
- narrative-enablement-kitaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "make everyone tell the same story", "write our elevator pitch ladder", or "build a spokesperson Q&A and approved boilerplate pack"; derives from the narrative-registry canon, message house, and brand voice a repeatable enablement kit — an elevator ladder (10-second / 30-second / 2-minute), a spokesperson Q&A (tough questions with on-canon answers), an approved boilerplate/bio pack (25 / 50 / 100-word), and a do/don't language sheet — so sales, support, founders, and partners repeat one consistent story. Not for the launch-day runbook — use launch-day-conductor; not for finished per-channel copy — use content-writer or each discipline creative builder; not for launch-window battle cards — use sales-enablement-kit; this kit never adjudicates a claim. 叙事赋能包/电梯梯度/发言人问答/审定样板/该说不该说RedactareFără avertismente★ 3 K↓ —
- yeetforyourhealth111-pixel/Vibe-SkillsUse only when the user explicitly asks to stage, commit, push, and open a GitHub pull request in one flow using the GitHub CLI (`gh`).InginerieFără avertismente★ 3,8 K↓ —Apare și în 1 alt depozit
- lindy-debug-bundlejeremylongshore/tons-of-skills-marketplaceComprehensive debugging toolkit for Lindy AI agents. Use when investigating complex agent failures, collecting diagnostics, or preparing support tickets for Lindy support. Trigger with phrases like "lindy debug", "lindy diagnostics", "lindy support bundle", "investigate lindy issue".InginerieFără avertismente★ 2,9 K↓ —
mcore-run-on-slurm
NVIDIA/skills
AlteleActualizat alaltăieri
De la autor
How to launch distributed Megatron-LM training jobs on a SLURM cluster. Covers a minimal sbatch skeleton, environment-variable setup for torch.distributed.run, CUDA_DEVICE_MAX_CONNECTIONS rules across hardware and parallelism modes, container conventions, monitoring, and per-rank failure diagnosis.
Instalare
npx skills add NVIDIA/skills --skill mcore-run-on-slurm -a claude-code
Se instalează în .claude/skills/mcore-run-on-slurm/ · 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
Niciun avertisment.
De ce 90
Securitate100
Proveniență83
Întreținere100
Licență100
Adopție57
Fișiere (5)
- BENCHMARK.md
- SKILL.md
- evals/evals.json
- skill-card.md
- skill.oms.sig