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.
48.168 de skill-uri din 2.325 de depozite · actualizat acum 10 ore
48.168 de skill-uri
- skill-trending-topicsZJU-REAL/Easel抓取微博、抖音、知乎、头条、B站实时热搜,筛选与创作者赛道相关的热点,输出二创选题建议。 当用户说"今天有什么热搜""热点""最近大家在聊什么""追热点""蹭热点""二创选题""热搜榜"时使用。 和 skill-news-intelligence 的区别:本 SKILL 抓分钟级实时热搜榜做快速二创选题; news-intelligence 做日级深度行业资讯聚合,不抓热搜榜。AlteleFără avertismente★ 4,2 K↓ —
- x-twitter-scraperdavepoon/buildwithclaudeX (Twitter) data extraction and monitoring via Xquik: tweet search, user lookup, follower extraction, giveaway draws, trending topics, account monitoring with webhooks, reply/retweet/quote extraction, community and Space data, follow checks. 22 MCP tools + REST API.BrowserFără avertismente★ 3,7 K↓ —
- ib-check-deckanthropics/financial-servicesInvestment banking presentation quality checker. Reviews a pitch deck or client-ready presentation for (1) number consistency across slides, (2) data-narrative alignment, (3) language polish against IB standards, (4) visual and formatting QC. Use whenever the user asks to review, check, QC, proof, or do a final pass on a deck, pitch, or client materials — including requests like "check my numbers", "reconcile figures across slides", "is this client-ready", or "what am I missing before I send this out".OficialDocumenteFără avertismente★ 40,9 K↓ —Apare și în 1 alt depozit
- daskforyourhealth111-pixel/Vibe-SkillsParallel/distributed computing. Scale pandas/NumPy beyond memory, parallel DataFrames/Arrays, multi-file processing, task graphs, for larger-than-RAM datasets and parallel workflows.DateFără avertismente★ 3,8 K↓ —Apare și în 1 alt depozit
- hunt-regressionstrailofbits/skillsUse when discovering possible regressions from a pinned change and its callers before reproduction.AlteleFără avertismente★ 7,9 K↓ —
- code-improvertrailofbits/skillsRuns an autonomous review-and-fix improvement loop over any code target — a skill, plugin, module, or directory — using a reviewer the user names: any installed skill or agent. Keeps a cross-round findings ledger, escalates when fixes stop converging, and guards scope mechanically. Use when asked to 'improve this code until review passes', 'run an improvement loop with <reviewer>', or to iterate review-and-fix with a specific reviewer. For skills prefer the skill-improver entry; for a branch prefer pr-improver.InginerieFără avertismente★ 7,9 K↓ —
- meta-adsnowork-studio/notfair-pluginManage Meta Ads (Facebook + Instagram) — performance, ROAS, CPM, frequency, audience overlap, learning phase, creative fatigue, budgets, ad sets, campaigns, ads. Use for any mention of Meta Ads, Facebook Ads, Instagram Ads, ROAS, CPM, ad spend, or campaign settings on Meta.MarketingFără avertismente★ 4,1 K↓ —
- openai-knowledgeforyourhealth111-pixel/Vibe-SkillsCompatibility alias for OpenAI platform documentation guidance. Delegate to the canonical local `openai-docs` payload while preserving route compatibility.AlteleFără avertismente★ 3,8 K↓ —
- nemo-rl-auto-researchNVIDIA/skillsAutonomous NeMo-RL research agent workflow for directed hypothesis testing and open-ended discovery. Guides agents through the full experiment lifecycle: understanding recipes and environments, wiring RL or NeMo-gym runs, launching reproducible baselines and iterations, analyzing results, preserving human oversight, and using git plus TSV logs as the research ledger. Do NOT use for: bug fixes, code review, documentation, refactoring, dependency updates, or single-file changes.ȘtiințăFără avertismente★ 3,8 K↓ —
- nemo-fabric-integrateNVIDIA/skillsUse this skill when integrating NVIDIA NeMo Fabric into a consumer application, service, evaluation harness, or platform through the typed Python SDK — translating the consumer's own application, job, or deployment config into an in-memory FabricConfig, choosing the single-invocation convenience API or an explicitly started runtime, validating with plan and doctor, and consuming normalized results, artifacts, and telemetry.DevOpsFără avertismente★ 3,8 K↓ —
- skill-topic-evaluatorZJU-REAL/Easel评估单个选题的潜力,按统一维度(流量潜力、账号匹配、 竞争差异化、时效价值、变现空间、制作成本、合规风险)打分,输出"做/不做/改方向"建议。 当用户说"这个选题值不值得做"、"评估一下"、"能不能火"、"有没有流量"、 "做不做这个"、"选题评估"、"值得做吗"、"这个话题行不行"、"帮我判断一下"时触发。 skill-content-matrix 批量生成选题池;skill-post-scorer 评估已完成内容,本 SKILL 评估尚未制作的单个选题。AlteleFără avertismente★ 4,2 K↓ —
- principle-attack-the-premisebacknotprop/pstackApply when two or more fixes that share one premise have failed the same gate. Write the premise down and test it directly before you write another fix that assumes it.TestareFără avertismente★ 3,3 K↓ —
- jetson-link-docsNVIDIA/skillsBind pre-downloaded Jetson reference docs (developer guide, design guide, pinmux, schematics) into the active profile documents block. Use after staging docs on disk; not for downloading.DesignFără avertismente★ 3,8 K↓ —
- gsd:sketchdavepoon/buildwithclaudeSketch UI/design ideas with throwaway HTML mockups, or propose what to sketch next (frontier mode)DesignFără avertismente★ 3,7 K↓ —
- networkxforyourhealth111-pixel/Vibe-SkillsComprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological networks, transportation systems, citation networks, and any domain involving pairwise relationships.ȘtiințăFără avertismente★ 3,8 K↓ —Apare și în 1 alt depozit
- cursor-multi-repojeremylongshore/tons-of-skills-marketplaceWork with multiple repositories in Cursor: multi-root workspaces, monorepo patterns, selective indexing, and cross-project context. Triggers on "cursor multi repo", "cursor multiple projects", "cursor monorepo", "cursor workspace", "multi-root workspace".ProductivitateFără avertismente★ 2,9 K↓ —
- aflpptrailofbits/skillsSets up and runs AFL++ for multi-core fuzzing of C/C++ projects built with afl-clang-fast or afl-gcc-fast. Covers instrumentation modes, parallel main and secondary campaigns, persistent mode, corpus minimization, and crash triage. Use when scaling fuzzing across cores, fuzzing a mature C/C++ codebase, reading the afl-fuzz status screen, or moving on after libFuzzer has plateaued.AlteleFără avertismente★ 7,9 K↓ —
- gtarsforyourhealth111-pixel/Vibe-SkillsHigh-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.ȘtiințăFără avertismente★ 3,8 K↓ —Apare și în 2 alte depozite
- figmaheygen-com/hyperframesBring Figma into a HyperFrames video - rendered assets, brand tokens, components, storyboard frames as reconstructed motion (frames read as states, not slides), shaders and connector-assisted motion. Use when the person pastes a figma.com link or asks to use a Figma design, frame, logo or brand.OficialDesignFără avertismente★ 76,3 K↓ —
- notion-automationdavepoon/buildwithclaudeAutomate Notion tasks via Rube MCP (Composio): pages, databases, blocks, comments, users. Always search tools first for current schemas.ProductivitateFără avertismente★ 3,7 K↓ —
- seabornforyourhealth111-pixel/Vibe-SkillsStatistical visualization. Scatter, box, violin, heatmaps, pair plots, regression, correlation matrices, KDE, faceted plots, for exploratory analysis and publication figures.AlteleFără avertismente★ 3,8 K↓ —Apare și în 1 alt depozit
- lamindbforyourhealth111-pixel/Vibe-SkillsThis skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.DevOpsFără avertismente★ 3,8 K↓ —Apare și în 1 alt depozit
- privacy-generatorjeremylongshore/tons-of-skills-marketplaceDraft a service-specific privacy notice from confirmed processing facts, source observations and scoped applicability review, with a separate evidence and unresolved-questions record. Use when preparing or revising a privacy policy. Trigger with "privacy-generator" or "create a privacy policy".PlanificareFără avertismente★ 2,9 K↓ —
- gsd:add-testsdavepoon/buildwithclaudeGenerate tests for a completed phase based on UAT criteria and implementationTestareFără avertismente★ 3,7 K↓ —
doca-dms
NVIDIA/skills
De la autor
Operate NVIDIA DOCA Management Service on a BlueField, Arm/x86 host, or Kubernetes pod: from DOCA 3.5 the local `dms-cli` (one command per YANG path, no server), and the `dmsd` + `dmspe` service: choose deployment and authentication, configure `-allowed_users` and `dmsgroup`, use gNMI Get/Set, run supported gNOI workflows, and debug frontend/backend failures. Trigger even without "DMS" for "manage a remote BlueField over gRPC", "gNOI reboot from orchestrator", or fleet-management requests. SAFETY: reboot, OS install, factory-reset, and managed-file deletion are destructive and require target-bound explicit confirmation; never invoke them speculatively. Route installation and library/API build questions elsewhere, and route telemetry streaming and aggregation to doca-dts (DOCA Telemetry Service).
Instalare
npx skills add NVIDIA/skills --skill doca-dms -a claude-code
Se instalează în .claude/skills/doca-dms/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
La ce are acces
Verificări de siguranță pe SKILL.md
Niciun avertisment.
De ce 90
Fișiere (8)
- BENCHMARK.md
- CAPABILITIES.md
- SKILL.md
- SKILLCARD.yaml
- TASKS.md
- evals/evals.json
- skill-card.md
- skill.oms.sig