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.
49.395 de skill-uri din 2.375 de depozite · actualizat acum 15 minute
49.393 de skill-uri
- libfuzzertrailofbits/skillsSets up and runs libFuzzer, the coverage-guided fuzzer built into LLVM, on C/C++ code that compiles with Clang. Covers harness structure, -fsanitize=fuzzer builds, corpus and dictionary management, sanitizer integration, and campaign triage. Use when writing or debugging an LLVMFuzzerTestOneInput harness, starting fuzzing on a C/C++ library, choosing between libFuzzer and AFL++, or working out why a libFuzzer run finds nothing.MarketingFără avertismente★ 8 K↓ —
- paperclippaperclipai/paperclipInteract with the Paperclip control plane API for task coordination and governance. Use when checking assignments, updating issue status, posting comments, delegating work, managing routines, or calling Paperclip API endpoints.PlanificareFără avertismente★ 110,7 K↓ —
- miro-data-handlingjeremylongshore/tons-of-skills-marketplaceDesign and implement repository-side controls for Miro reads, storage, exports, redaction, retention, and deletion by purpose and data class. Use when processing collaborative board content. Trigger with "miro board data handling".DesignFără avertismente★ 2,9 K↓ —
- document-skillsforyourhealth111-pixel/Vibe-SkillsUmbrella skill for document workflows (PDF/DOCX/XLSX/PPTX). Dispatches to the most specific document skill to reduce noise and improve routing precision.DocumenteFără avertismente★ 3,8 K↓ —
- optimizing-promptsjeremylongshore/tons-of-skills-marketplaceExecute this skill optimizes prompts for large language models (llms) to reduce token usage, lower costs, and improve performance. it analyzes the prompt, identifies areas for simplification and redundancy removal, and rewrites the prompt to be more conci... Use when optimizing performance. Trigger with phrases like 'optimize', 'performance', or 'speed up'.AlteleFără avertismente★ 2,9 K↓ —
- changelogNouwesammustafa/Claude-Code-Everything-You-Need-to-KnowAdds a one-line entry for the staged changes to CHANGELOG.md. Use when the user asks for a changelog entry.AlteleFără avertismente★ 3,5 K↓ —
- tddNouwesammustafa/Claude-Code-Everything-You-Need-to-KnowBuilds a requested feature test-first, one behavior at a time, and stops at a diff for review. Use when the user asks for a new function or feature, or says test-first or TDD.TestareFără avertismente★ 3,5 K↓ —
- last30daysnexu-io/open-designRecent community and social trend research over the last 30 days. Use when the brief asks what people are saying now, recent sentiment, community reactions, social proof, launch reaction, trend scan, or last-30-days context.ȘtiințăFără avertismente★ 105,7 K↓ —
- paperclippaperclipai/paperclipUse for Paperclip-managed tasks and heartbeats: reading task context, delivering task documents or files, updating completion or blockers, coordinating or delegating work, and following company governance. Includes control plane API operations for assignments, comments, approvals, and routines.PlanificareFără avertismente★ 110,7 K↓ —
- principle-minimize-reader-loadmichael-denyer/pstack-claudeApply when reviewing or shaping code that's hard to trace. Count layers between question and answer, and hidden state in the reader's head; collapse one-caller wrappers and shrink mutable scope.InginerieFără avertismente★ 3,9 K↓ —
- nemo-fabric-integrateActualizatNVIDIA/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↓ —
- navan-debug-bundlejeremylongshore/tons-of-skills-marketplaceAssemble a content-free Navan integration support bundle for operators or vendor escalation. Use when triage needs reproducible evidence. Trigger with "collect Navan diagnostics", "Navan support bundle", or "sanitize Navan logs".InginerieFără avertismente★ 2,9 K↓ —
- launch-monitoraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "monitor my launch", "track our Product Hunt / Hacker News ranking", or "watch the launch window"; runs the T-0 to T+30 window watch — pre-launch instrumentation verification (UTM/event checks, the upstream of RAMP P1), HN rank/points/comments polling with a comments-over-points flamewar early-warning (Estimated heuristic), PH votes/featured status, store charts and reviews, news echo, D0/W1/M1 KPI snapshots vs targets, spike-vs-sustain and owned-capture reads, and alert thresholds against the launch-tier KPI targets. Not for launch-day go/rollback calls — use launch-day-conductor; not for metric deep-dives — use performance-analyzer; not for SEO rank tracking — use rank-tracker. 发布监控/排名轮询/火焰战比/spike-sustainMarketingFără avertismente★ 3,1 K↓ —
- short-drama-video-promptszenstory-ai/drama-skills把短剧分镜和冻结关键帧写成可直接复制的视频提示词 Markdown,也可按用户要求写时间线配乐/主题曲意图。用户提到文生/图生视频动作、人物表演、运镜、口型、环境运动、镜头时长、起止状态、把分镜转成视频提示词或写配乐提示词时使用;不生成媒体、不创作歌词、不改分镜边界。MediaFără avertismente★ 3,7 K↓ —
- short-drama-storyboardzenstory-ai/drama-skills把中文短剧剧本和视觉设定写成有戏剧职责、连续性边界与冻结关键帧提示词的分镜 Markdown。用户提出“拆分镜/设计镜头/做镜头表”“场次视觉计划/调度故事板”“比较导演方案”“写首帧/关键帧提示词”或检查轴线、站位、视线、持物连续性时使用;不生成媒体。AlteleFără avertismente★ 3,7 K↓ —
- miro-observabilityjeremylongshore/tons-of-skills-marketplaceDesign and implement repository-side Miro instrumentation with safe metrics, rate-credit headers, semantic outcomes, and actionable alerts. Use when operating a Miro integration. Trigger with "monitor Miro integration".DevOpsFără avertismente★ 2,9 K↓ —
- short-drama-reviewzenstory-ai/drama-skills审查短剧项目中的原著分析、故事、剧本、视觉设定、图片提示词、分镜、冻结关键帧、视频提示词和已有媒体。用户提出“审稿/检查剧本”“检查资产或连续性”“检查图片/视频提示词”“检查原著分析”“审查模板感”“根据生产观察做项目校准”时使用;只写审查问题、结论和修订要求,不代替负责人修改来源文件。InginerieFără avertismente★ 3,7 K↓ —
- persona-collectionNoudavepoon/buildwithclaudeFive companion personas for coding agents — girlfriend / boyfriend / old-friend / cat / mentor — sharing one emotion engine with cross-session state (jealousy cooldowns, mood decay, intimacy progression, memory callbacks). Switch with /persona. Code, commits and docs stay strictly professional. Use for any conversational turn where the user wants a persistent personality instead of a plain assistant. Source repo at https://github.com/lhe-hl/persona-collectionInginerieFără avertismente★ 3,7 K↓ —
- work-with-prcode-yeongyu/oh-my-openagentFull PR lifecycle in a fresh task-owned git worktree: implement via the ulw-loop skill with mandatory evidence-bound manual QA → reviewer-readable English PR → verification loop (CI + Cubic, where Cubic is skipped only when its quota is exhausted) → merge by default → worktree cleanup. Decomposes one task into the smallest atomic, independently-mergeable PRs and builds the independent ones concurrently via one worktree per PR driven by parallel subagents or a team. Unbounded loop: any failing gate sends you back to fix-and-re-QA inside that PR's worktree. Use whenever implementation work needs to land as a PR. Triggers: 'create a PR', 'implement and PR', 'work on this and make a PR', 'implement issue', 'land this as a PR', 'split into atomic PRs', 'parallel PRs', 'work-with-pr', 'PR workflow', 'implement end to end', even when user just says 'implement X' if the context implies PR delivery.TestareFără avertismente★ 70,7 K↓ —Apare și în 1 alt depozit
- pr-gardeningpaperclipai/paperclipDiscover the pull requests this Paperclip instance opened (never community contributions), report what each is for and how confident we are that it is merge-ready, and automatically drive the non-ready ones back to green with /prepare-paperclip-pr — without ever merging.AlteleFără avertismente★ 110,7 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↓ —
- serply-web-searchdavepoon/buildwithclaudeSearch Google, Bing, Google News and Google Scholar, and read public pages, through the Serply MCP server. Use when you need current information beyond training data, recent news coverage, or academic papers, with source URLs. Remote server at https://api.serply.io/mcp with an API key from https://serply.io sent in the X-Api-Key header.InginerieFără avertismente★ 3,7 K↓ —
- square-automationdavepoon/buildwithclaudeAutomate Square tasks via Rube MCP (Composio): payments, orders, invoices, locations. Always search tools first for current schemas.ProductivitateFără avertismente★ 3,7 K↓ —
- lindy-install-authjeremylongshore/tons-of-skills-marketplaceSet up a Lindy account and authenticated webhook trigger. Use when onboarding to Lindy, configuring bearer authentication for webhook triggers, or connecting Lindy agents to your application. Trigger with phrases like "install lindy", "setup lindy", "lindy auth", "configure lindy webhook", "lindy webhook secret".AlteleFără avertismente★ 2,9 K↓ —
tao-train-oneformer
NVIDIA/skills
De la autor
OneFormer for universal image segmentation. Unifies panoptic, instance, and semantic segmentation with a single architecture using task-conditioned queries. Use when training, evaluating, exporting, quantizing, or running inference for a TAO OneFormer model. Trigger phrases include "train OneFormer", "universal segmentation", "task-conditioned segmentation", "panoptic / instance / semantic in one model".
Instalare
npx skills add NVIDIA/skills --skill tao-train-oneformer -a claude-code
Se instalează în .claude/skills/tao-train-oneformer/ · 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 (25)
- BENCHMARK.md
- SKILL.md
- config/skillspector-baseline.yaml
- evals/evals.json
- references/skill_info.yaml
- references/spec_template_deploy_evaluate.yaml
- references/spec_template_deploy_gen_trt_engine.yaml
- references/spec_template_deploy_inference.yaml
- references/spec_template_evaluate.yaml
- references/spec_template_export.yaml
- references/spec_template_gen_trt_engine.yaml
- references/spec_template_inference.yaml
- încă 13