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.
46.700 de skill-uri din 2.243 de depozite · actualizat acum 10 ore
46.700 de skill-uri
- readdavepoon/buildwithclaudePreview a distilled wiki page from inside Claude Code. Prints title, summary, source count, and the local md path. Full body lives on disk — open with the user's editor. Invoked as `/read <title_or_id>`.RedactareFără avertismente★ 3,7 K↓ —
- memory-bridgeAr9av/obsidian-wikiBrowse or compare wiki knowledge by originating AI tool. Use for cross-tool memory questions, tool-specific knowledge, or gap/diff analysis between Codex, Claude, Hermes, and other agents.ProductivitateFără avertismente★ 3,6 K↓ —
- scientific-data-preprocessingforyourhealth111-pixel/Vibe-Skills⚠️ CRITICAL USER EXPERIENCE-BASED SKILL - ALWAYS CONSULT BEFORE DATA PREPROCESSING ⚠️ Prevents catastrophic errors (88.9% error rate in V1.0 case study) through multi-level feature analysis, data leakage detection, and semantic validation. MANDATORY for: data preprocessing, feature engineering, standardization, normalization, interpolation, missing value handling, feature selection, or ANY data transformation task. Covers grouped time-series, cross-sectional, panel data. Detects: time travel leakage, causal inversion, ID misuse, semantic-numeric fallacies, distribution blindness. User's hard-won lessons from real project failures.ȘtiințăFără avertismente★ 3,8 K↓ —
- postwiredavepoon/buildwithclaudePublish and schedule to TikTok, Instagram, YouTube, LinkedIn, X, Bluesky, Mastodon, Facebook, Threads, Reddit, Telegram and Discord through one PostWire API call — writing a separate, native version of the post for each network instead of sending identical text everywhere. Use when the user wants to publish or schedule one idea across several platforms, wants per-network captions, or wants to know why a post was rejected before it is sent.MarketingFără avertismente★ 3,7 K↓ —
- entity-registryaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "optimize entity presence", reconcile an entity identity, or update canonical Knowledge Graph facts; audits and maintains machine-facing identity, sameAs, schema, disambiguation, and AI-recognition evidence through the entities registry. Not for page-level AI-citation readiness - use geo-content-optimizer; not for human-facing brand canon - use narrative-registry. 实体注册/知识图谱AlteleFără avertismente★ 3 K↓ —
- verification-before-completionforyourhealth111-pixel/Vibe-SkillsCompletion-evidence route used before claiming work is complete, fixed, passing, committed, or PR-ready. Requires fresh verification output before success claims. Do not use for root-cause debugging, TDD implementation, test-report packaging, or review-feedback triage.TestareFără avertismente★ 3,8 K↓ —
- clari-rate-limitsjeremylongshore/tons-of-skills-marketplaceAnalyze and schedule Clari exports, ingestion jobs, and Copilot reads within provider concurrency and quota controls. Use when preventing 429 responses or coordinating workers. Trigger with: "handle Clari rate limits", "schedule Clari jobs", "recover from Clari 429".AlteleFără avertismente★ 2,9 K↓ —
- apply-aestheticplugin87/ux-ui-agent-skillsApply a visual direction, an archetype (high-end agency, editorial minimal, brutalist, soft-SaaS, dark-tech) or one of 2,144 named design systems (apple, linear-app, stripe, vercel, notion, material, shadcn, spotify, tesla…), by resolving it into the token system. Use when the user wants a specific look/vibe/brand feel, or asks to make a design feel premium/expensive/non-generic.DesignFără avertismente★ 3 K↓ —
- comprehensive-research-agentforyourhealth111-pixel/Vibe-SkillsEnsure thorough validation, error recovery, and transparent reasoning in research tasks with multiple tool callsȘtiințăFără avertismente★ 3,8 K↓ —
- risk-analysisjeremylongshore/tons-of-skills-marketplacePerforms deep clause-by-clause risk scoring across 10 categories with poison pill detection and financial exposure estimation. Use when a user needs to understand the specific risks in a contract before signing. Trigger with "/risk-analysis" or "what are the risks in this contract".FinanțeFără avertismente★ 2,9 K↓ —
- speckit-implementforyourhealth111-pixel/Vibe-SkillsExecute all tasks from the task breakdown to build the feature. Use after task generation to systematically implement the planned solution following TDD approach where applicable.PlanificareFără avertismente★ 3,8 K↓ —
- pre-publish-reviewcode-yeongyu/oh-my-openagentNuclear-grade 12-agent pre-publish release gate. Runs /get-unpublished-changes to detect all changes since last npm release, spawns up to 10 ultrabrain agents for deep per-change analysis, invokes /review-work (orchestrator manual QA plus one gate reviewer) for holistic review, and 1 oracle for overall release synthesis. Runs ONLY when the user explicitly asks for a pre-publish review — a plain publish/release request MUST NOT trigger this; /publish ships directly. Triggers: 'pre-publish review', 'review before publish', 'release review', 'pre-release review', 'ready to publish?', 'can I publish?', 'pre-publish', 'safe to publish', 'publishing review', 'pre-publish check'.InginerieFără avertismente★ 70,4 K↓ —Apare și în 1 alt depozit
- mass-ulwcode-yeongyu/oh-my-openagentDrives dependency-ordered child work through the native workflow tool, each phase's stages defined up front in one run, with retry/amend/send recovery. Use when the user asks for mass-ulw, a DAG of tasks, or fan-out work where some tasks must wait on others.ProductivitateFără avertismente★ 70,4 K↓ —
- ulw-loopcode-yeongyu/oh-my-openagentA goal-like loop that decomposes work into systematic, evidence-bound ultrawork steps. Use when the user wants a goal loop or durable, checkpointed execution.AlteleFără avertismente★ 70,4 K↓ —
- jetson-customize-pcieNVIDIA/skillsPer-controller PCIe enable / disable / lanes / link-speed for a Jetson Thor or Orin custom carrier via ODMDATA + kernel-DT overlay. Do NOT use for UPHY lane allocation or endpoint-mode bring-up.AlteleFără avertismente★ 3,8 K↓ —
- list-segment-builderaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "build email segments from my list", "make engaged / lapsed / RFM segments", "set up cart-abandoner or lifecycle-stage audiences", or "build a suppression list of unsubscribes and bounces"; turns the user's OWN list/CRM/GA4/ecommerce export into behavioral, attribute, and lifecycle-stage segments plus a suppression list, with per-segment sizes labeled Measured/Estimated, informing the SEND E (Engagement/targeting) dimension. Not for scoring EQS or running vetoes — use email-quality-auditor; not for authentication or spam-content checks — use deliverability-qa. 邮件列表分群/生命周期分群/抑制名单/流失召回TestareFără avertismente★ 3 K↓ —
- outlook-automationdavepoon/buildwithclaudeAutomate Outlook tasks via Rube MCP (Composio): emails, calendar, contacts, folders, attachments. Always search tools first for current schemas.ProductivitateFără avertismente★ 3,7 K↓ —
- scvi-toolsanthropics/knowledge-work-pluginsDeep learning for single-cell analysis using scvi-tools. This skill should be used when users need (1) data integration and batch correction with scVI/scANVI, (2) ATAC-seq analysis with PeakVI, (3) CITE-seq multi-modal analysis with totalVI, (4) multiome RNA+ATAC analysis with MultiVI, (5) spatial transcriptomics deconvolution with DestVI, (6) label transfer and reference mapping with scANVI/scArches, (7) RNA velocity with veloVI, or (8) any deep learning-based single-cell method. Triggers include mentions of scVI, scANVI, totalVI, PeakVI, MultiVI, DestVI, veloVI, sysVI, scArches, variational autoencoder, VAE, batch correction, data integration, multi-modal, CITE-seq, multiome, reference mapping, latent space.OficialAlteleFără avertismente★ 33,4 K↓ —
- apollo-cost-tuningjeremylongshore/tons-of-skills-marketplaceOptimize Apollo.io costs and credit usage. Use when managing Apollo credits, reducing API costs, or optimizing subscription usage. Trigger with phrases like "apollo cost", "apollo credits", "apollo billing", "reduce apollo costs", "apollo usage".InginerieFără avertismente★ 2,9 K↓ —
- apify-sdk-patternsjeremylongshore/tons-of-skills-marketplaceProduction-ready patterns for Apify SDK and apify-client in TypeScript. Use when building Actors with Crawlee, managing datasets/KV stores, or implementing robust client wrappers with retry and validation. Trigger with "apify SDK patterns", "apify best practices", "apify client wrapper", "crawlee patterns", "idiomatic apify".BrowserFără avertismente★ 2,9 K↓ —
- visualizecode-yeongyu/oh-my-openagentBuilds a self-contained HTML page (chart, table, diagram, dashboard) to show inline in a thread. Use before calling show_html_page, html_preview or html_render, or whenever an answer reads better as a page than as prose.RedactareFără avertismente★ 70,4 K↓ —
- notion-rate-limitsjeremylongshore/tons-of-skills-marketplaceImplement adaptive Notion request throttling and bounded retry behavior from observed responses. Use when handling 429s, queue pressure, or bursty workloads. Trigger with "handle Notion rate limits", "throttle Notion requests", or "fix Notion 429".ProductivitateFără avertismente★ 2,9 K↓ —
- tao-train-bevfusionNVIDIA/skillsBEVFusion for multi-sensor 3D object detection. Fuses LiDAR point clouds and camera images in bird's-eye-view (BEV) space, used in autonomous driving for robust 3D perception. Use when training, evaluating, or running inference for a TAO BEVFusion model. Trigger phrases include "train BEVFusion", "LiDAR + camera fusion", "BEV 3D detection", "multi-sensor 3D perception".AlteleFără avertismente★ 3,8 K↓ —
- tao-launch-workflowNVIDIA/skillsThe mandatory pre-launch gate and four-verb execution contract for every TAO workflow or action. Invoke BEFORE launching anything side-effecting — AutoML, train, evaluate, inference, export, TensorRT engine generation, or DEFT/application workflows — on any execution platform. Covers platform selection, credentials, image confirmation, dataset intake, preflight, the launch review, job records, monitoring, and failure/retry classification. Trigger phrases include "train this model", "run AutoML", "launch on SLURM/docker/k8s/brev/virtualenv", "evaluate my checkpoint", "start a TAO job".ProductivitateFără avertismente★ 3,8 K↓ —
jetson-video-benchmark
NVIDIA/skills
MediaActualizat ieri
De la autor
Use when measuring Jetson Video Codec SDK or PyNvVideoCodec encode/decode throughput, comparing presets or surfaces, testing codec-worker capacity with authenticated samples and user media, or producing a clearly labeled documentation-derived planning estimate when representative media is absent. Also use for a video request limited to PSNR or SSIM, to apply the terminal scope response.
Instalare
npx skills add NVIDIA/skills --skill jetson-video-benchmark -a claude-code
Se instalează în .claude/skills/jetson-video-benchmark/ · 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 (8)
- BENCHMARK.md
- SKILL.md
- evals/evals.json
- references/benchmark-output-contract.md
- references/benchmark-workflow.md
- references/documented-performance-estimates.md
- skill-card.md
- skill.oms.sig