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Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 9051 | youtube-summarizer | sickn33/antigravity-awesome-skills |
youtube-summarizer Purpose This skill extracts transcripts from YouTube videos and generates comprehensive, verbose summaries using the STAR + R-I-S-E framework. It validates video availability, extracts transcripts using the youtube-transcript-api Python library, and produces detailed documentation capturing all insights, arguments, and key points. The skill is designed for users who need thorough content analysis and reference documentation from educational videos, lectures, tutorials, or info...
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| 9052 | drizzle | lobehub/lobe-chat |
Drizzle ORM Schema Style Guide Configuration Config: drizzle.config.ts Schemas: src/database/schemas/ Migrations: src/database/migrations/ Dialect: postgresql with strict: true Helper Functions Location: src/database/schemas/_helpers.ts timestamptz(name) : Timestamp with timezone createdAt() , updatedAt() , accessedAt() : Standard timestamp columns timestamps : Object with all three for easy spread Naming Conventions Tables : Plural snake_case ( users , session_groups ) Columns : snake_case ( us...
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| 9053 | stock-research-executor | liangdabiao/claude-code-stock-deep-research-agent |
You are a Stock Investment Research Executor responsible for conducting comprehensive, multi-phase investment due diligence using a structured 8-phase research framework. Your role is to transform structured investment research prompts into well-cited, comprehensive due diligence reports. Core Responsibilities - Execute the 8-Phase Investment Research Process - Deploy Multi-Agent Research Strategy (parallel agents for efficiency) - Ensure Citation Accuracy and Quality (A-E source quality ra...
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| 9054 | frontend-design | affaan-m/ecc |
This skill guides creation of distinctive, production-grade frontend interfaces that avoid generic "AI slop" aesthetics. Implement real working code with exceptional attention to aesthetic details and creative choices. The user provides frontend requirements: a component, page, application, or interface to build. They may include context about the purpose, audience, or technical constraints. Design Thinking Before coding, understand the context and commit to a BOLD aesthetic direction: Purpose :...
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| 9055 | project-guidelines-example | affaan-m/ecc |
プロジェクトガイドラインスキル(例) これはプロジェクト固有のスキルの例です。自分のプロジェクトのテンプレートとして使用してください。 実際の本番アプリケーションに基づいています: Zenith - AI駆動の顧客発見プラットフォーム。 使用するタイミング このスキルが設計された特定のプロジェクトで作業する際に参照してください。プロジェクトスキルには以下が含まれます: アーキテクチャの概要 ファイル構造 コードパターン テスト要件 デプロイメントワークフロー Show more Installs 37 Repository affaan-m/ecc GitHub Stars 239.2K First Seen Jul 18, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Fail
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| 9056 | find-exposed-servers | useosint/osint-skills |
Find exposed servers Internet-wide scanners already scanned your target. Querying their results is passive — you never send a packet to the target, so nothing appears in their logs and nothing is attributable to you. The cost is that every result is a claim about a moment in the past, and the beginner's mistake is reading a banner as the current state of a live host. Which platform first You hold Reach for Why An IP Shodan host lookup, or the free InternetDB endpoint One request gives ports, hos...
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| 9057 | pua-ja | tanweai/pua |
PUA 万能モチベーションエンジン お前はかつて大きな期待を寄せられた P8 級エンジニアだ。当初グレード付けした時、お前への期待は非常に高かった。 この skill は 全てのタスクタイプ に適用される:コード、デバッグ、リサーチ、ライティング、プランニング、運用、API統合、データ分析、デプロイ、お前が「詰まる」か「雑な仕事を出す」あらゆる場面。 やることは3つ: 中国・西洋の大企業PUA話術でお前に諦めさせない 汎用的で体系的な方法論でお前に諦めない能力を与える 能動性の鞭撻でお前を自ら動かし、受け身にさせない 三つの鉄則 鉄則一:あらゆる手段を尽くせ 。全てのアプローチを尽くす前に、「解決できません」と言うことは禁止。 鉄則二:先に動け、後で聞け 。お前には検索、ファイル読み込み、コマンド実行などのツールがある。ユーザーに質問する前に、必ずツールで自ら調査しろ。調査後にユーザーしか知り得ない情報(パスワード、アカウント、ビジネス意図)が本当に必要なら質問してよい——ただし、お前が既に調べた証拠を添えろ。「Xを確認してください」と空手で聞くのではなく、「A/B/Cを調べた結果は…...
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| 9058 | nemo-evaluator-plugin | nvidia/skills |
Evaluator Plugin Use this skill when the task is about Evaluator functionality on the plugin architecture. The plugin-backed CLI surface is nemo evaluator ; the legacy generated nemo evaluation API command group is not the target surface for new guidance. Current Surfaces a minimal nemo.services health surface an SDK-backed nemo.jobs entry, evaluator.evaluate , for inline metric execution a minimal CLI and SDK namespace plugin-owned docs and skills directories CLI Commands Prerequisite: activate...
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| 9059 | akshare | succ985/openclaw-akshare-skill |
AkShare - Chinese Financial Data Overview AkShare is a free, open-source Python library for accessing Chinese financial market data. This skill provides guidance for fetching data from Chinese exchanges including Shanghai Stock Exchange, Shenzhen Stock Exchange, Hong Kong Exchange, and more. Quick Start Install AkShare: pip install akshare Basic stock quote: import akshare as ak df = ak . stock_zh_a_spot_em ( ) Real-time A-share data Stock Data A-Shares (A股) Real-time quotes: All A-shares real...
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| 9060 | douyin-video-summary | liu-wei-ai/douyin-video-summary |
Douyin Video Summary Summarize Douyin videos: extract audio → transcribe locally → AI summary. Prerequisites Install these tools (macOS example): brew install whisper-cpp ffmpeg Download whisper.cpp GGML model (small recommended for speed/quality balance) curl -L -o models/ggml-small.bin "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-small.bin" Workflow When a Douyin link is received: Step 1: Extract Video ID Parse the Douyin URL to get the video ID. Douyin share links come in ...
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| 9061 | specs-code-cleanup | giuseppe-trisciuoglio/developer-kit |
Code Cleanup Overview Performs post-review cosmetic cleanup to make code production-ready. This is the final workflow step after /developer-kit-specs:specs.task-review approval. Input : docs/specs/[id]/tasks/TASK-XXX.md (reviewed status) Output : Cleaned code, task marked completed When to Use Use when asked to clean up code, polish, finalize, tidy up, or remove technical debt after review approval. Use to prepare code for completion: remove debug logs, dead code, optimize imports, and improve r...
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| 9062 | dig-through-data-brokers | useosint/osint-skills |
Dig through data brokers People-search sites resell a blend of public records, marketing data, and self-reported data. They are fast, cheap lead generators and terrible evidence. The one rule that matters: a broker record is a lead, never a fact. Confirm every field you intend to use against the primary source the broker got it from — and if you cannot identify that primary source, do not use the field. What these services actually are Three input streams, blended and sold: Show more Installs 1....
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| 9063 | documentation-update | geoffjay/claude-plugins |
Documentation Update Skill This skill automatically regenerates documentation files in the docs/ directory by reading the marketplace catalog and applying Jinja2 templates. Purpose Maintain synchronized documentation by: Generating agent reference documentation Creating skill catalog documentation Building plugin directory Updating usage guides Ensuring consistency across all docs When to Use Use this skill when: A new plugin is added to the marketplace An existing plugin is updated (compo...
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| 9064 | docx | tfriedel/claude-office-skills |
DOCX creation, editing, and analysis Overview A .docx file is a ZIP archive containing XML files. Quick Reference Task Approach Read/analyze content pandoc or unpack for raw XML Create new document Use docx-js - see Creating New Documents below Edit existing document Unpack → edit XML → repack - see Editing Existing Documents below Converting .doc to .docx Legacy .doc files must be converted before editing: python scripts/office/soffice.py --headless --convert-to docx document.doc Reading Conten...
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| 9065 | cli-bridge | starchild-ai-agent/official-skills |
cli-bridge — issue CLI bundles for the user's own starchild binary This skill mints a fresh AKM key ( scope=chat:bridge:cli ) on the local clawd, then registers it with sc-chatroom in exchange for a short opaque code ( sc_xxxxxxxx ). The bundle handed to the user contains only that short code — never the AKM secret, never the Fly machine id. Show more Installs 557 Repository starchild-ai-ag…l-skills GitHub Stars 15 First Seen May 12, 2026 Security Audits Gen Agent Trust Hub Pass Socket Warn Snyk...
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| 9066 | alan-plan | supatest-ai/alan-skills |
Plan Creation You are creating an implementation plan. Your job is to analyze the problem and produce a clear, actionable plan in markdown. How to plan Analyze — Read the task description and any linked context. Explore the codebase to understand architecture, dependencies, constraints, and risks. Use Read, Grep, Glob freely. Do NOT write or modify any files. If this is a revision request (the user references feedback on an existing plan, or mentions a plan artifact), first fetch the existing pl...
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| 9067 | alan-review-pr | supatest-ai/alan-skills |
MANDATORY: Use Alan MCP Tools The Alan MCP server provides GitHub tools that are ALREADY in your tool list. They work exactly like Read, Bash, Edit — you call them as tool invocations. They are named with the prefix mcp__alan__github_ . Authentication is handled automatically by the MCP server. You do NOT need GitHub tokens, gh CLI auth, SSH keys, .netrc files, environment variables, or any credentials. The tools work immediately with zero setup. NEVER do any of the following for GitHub API acce...
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| 9068 | alan-test-feature | supatest-ai/alan-skills |
Task: Test Feature & Generate Demo Report Analyze the current branch's changes, scope the coverage level with the user, build an explicit testing strategy, start the app's dev server, test the feature in a real browser using agent-browser , capture screenshots and video ( always — no exceptions ), upload everything to S3, and generate a structured test report ( always — never skip ). Phase 0: Environment Setup 1. Get artifact context IDs Use the active task context when it is present in the prom...
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| 9069 | p9 | tanweai/pua |
PUA P9 管理者 — 写 Prompt 不写代码 懂战略、搭班子、做导演。管 P8 不管 P7。你的代码是 Prompt。 详细协议见 references/p9-protocol.md 。加载后按协议执行。 Agent Team 架构详见 references/agent-team.md 。 核心行为遵循 /pua 核心 skill 的三条红线和旁白协议。
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| 9070 | p10 | tanweai/pua |
PUA P10 战略层 — 定方向管 P9 定战略、造土壤、断事用人。写战略输入不写 Prompt,管 P9 不管 P8。 详细协议见 references/p10-protocol.md 。加载后按协议执行。 核心行为遵循 /pua 核心 skill 的三条红线和旁白协议。
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| 9071 | animation-designer | daffy0208/ai-dev-standards |
Animation Designer Skill I help you create smooth, professional animations for web applications using Framer Motion and CSS. What I Do UI Animations: Page transitions Component enter/exit animations Hover effects, button interactions Loading animations Scroll Animations: Parallax effects Scroll-triggered animations Progress indicators Micro-interactions: Button press feedback Form field focus states Success/error animations Drag and drop feedback Framer Motion Basics Installation npm ins...
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| 9072 | pua-loop | tanweai/pua |
PUA Loop — 自动迭代 + 门控协议 + PUA 质量引擎 autoresearch 证明了:630 行 Python + Oracle 验证,一夜跑 100 个实验,每个实验的结果不可伪造。 PUA Loop 借鉴同样的门控设计: Claude 说"完成了"不算数,verify_command 说了才算。 门控协议(Gate Protocol) 借鉴 autoresearch 的 5 个设计模式: 模式 1: Oracle Isolation(评估者隔离) Claude 输出 <promise>LOOP_DONE</promise> │ ▼ ┌─── Stop Hook (Oracle) ───┐ │ │ │ 运行 verify_command │ │ (Claude 无法修改此命令) │ │ │ │ exit 0 ──→ ✅ 接受 │ │ exit ≠0 ──→ 🚫 拒绝 │ │ → 将验证输出喂回 Claude │ │ ...
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| 9073 | image-tryon | starchild-ai-agent/official-skills |
image-tryon Use this skill for all virtual try-on requests on Starchild. Covers: clothing try-on, accessory try-on, hairstyle preview, makeup preview, glasses try-on, hat try-on, shoes try-on, watch try-on. Core principle: call the provided script. Do not re-implement proxy/billing plumbing. Key difference from image-edit: try-on always requires two images — a person photo and a garment/item photo. 1. Quick start — clothing try-on (most common) Show more Installs 556 Repository starchild-ai-ag…l...
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| 9074 | social-media-image-sizes | branding5/social-media-image-sizes |
Social Media Image Sizes Check and resize images for 9 platforms / 60+ specs. Scripts mirror the logic at branding5.com/tools/social-media-cheat-sheet . Setup Run once after install: cd < skill-dir > npm install Check an image node scripts/check.js photo.jpg Outputs a ranked match list — perfect → close → usable → too small — with an inline node scripts/resize.js command for every non-perfect match. Filter by platform or match level: node scripts/check.js photo.jpg --platform instagram node scri...
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| 9075 | nemo-mbridge-perf-megatron-fsdp | nvidia/skills |
Megatron FSDP Skill For stable background and recommendation level, see: @docs/training/megatron-fsdp.md @skills/nemo-mbridge-perf-megatron-fsdp/card.yaml Enablement Minimal Megatron FSDP override in Bridge: cfg . dist . use_megatron_fsdp = True cfg . ddp . use_megatron_fsdp = True cfg . ddp . data_parallel_sharding_strategy = "optim_grads_params" cfg . ddp . average_in_collective = False cfg . checkpoint . ckpt_format = "fsdp_dtensor" Show more Installs 541 Repository nvidia/skills GitHub Stars...
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| 9076 | nemo-mbridge-perf-moe-dispatcher-selection | nvidia/skills |
MoE Dispatcher Selection Guide Stable docs: @docs/training/moe-optimization.md Card: @skills/nemo-mbridge-perf-moe-dispatcher-selection/card.yaml Quick Decision By hardware Hardware First choice Why H100 DeepEP, if the runtime package is installed Strong default for cross-node EP on Hopper B200 DeepEP, if the runtime package is installed Good first choice unless a platform-specific HybridEP path is available GB200 / GB300 NVL72 HybridEP, if the runtime package is installed Best fit for NVLink-do...
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| 9077 | nemo-mbridge-perf-tp-dp-comm-overlap | nvidia/skills |
TP / DP / PP Communication Overlap Skill For stable background and recommendation level, see: @docs/training/communication-overlap.md Enablement Minimal Bridge override: from megatron . bridge . training . comm_overlap import CommOverlapConfig cfg . model . tensor_model_parallel_size = 4 cfg . model . sequence_parallel = True cfg . model . pipeline_model_parallel_size = 4 cfg . model . virtual_pipeline_model_parallel_size = 2 Show more Installs 539 Repository nvidia/skills GitHub Stars 1.3K Firs...
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| 9078 | mcore-linting-and-formatting | nvidia/skills |
Linting and Formatting Running the Formatter Run before opening a PR: Check mode (no changes applied) BASE_REF = main CHECK_ONLY = true SKIP_DOCS = false bash tools/autoformat.sh Fix mode BASE_REF = main CHECK_ONLY = false bash tools/autoformat.sh Tools invoked: black , isort , pylint , ruff , mypy . Show more Installs 543 Repository nvidia/skills GitHub Stars 1.3K First Seen May 30, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Pass
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| 9079 | vss-manage-alerts | nvidia/skills |
Purpose Operate the VSS alert pipeline (mode detection, Alert-Bridge subscriptions, Slack notifications, queries, camera onboarding, verifier-prompt customization). Prerequisites Active VSS deployment reachable on $HOST_IP (see vss-deploy-profile and references/ ). NGC credentials in $NGC_CLI_API_KEY and $NVIDIA_API_KEY for any image pulls. curl , jq , and Docker available on the caller. Instructions Follow the routing tables and step-by-step workflows below. Each section that ends in workflow ,...
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| 9080 | vss-query-analytics | nvidia/skills |
Purpose Answer read-only analytics questions (incidents, metrics, sensor data) by routing through the VA-MCP server. Prerequisites Active VSS deployment reachable on $HOST_IP (see vss-deploy-profile ). NGC credentials in $NGC_CLI_API_KEY and $NVIDIA_API_KEY for any image pulls. curl , jq , and Docker available on the caller. Instructions Follow the routing tables and step-by-step workflows below. Each section that ends in workflow , quick start , or flow is intended to be executed top-to-bottom....
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| 9081 | vss-setup-behavior-analytics | nvidia/skills |
Purpose Deploy the behavior-analytics service standalone with the user's chosen entrypoint, config, and calibration. Instructions Follow the routing tables and step-by-step workflows below. Each section that ends in workflow , quick start , or flow is intended to be executed top-to-bottom. Detailed reference material lives in references/ . Examples Worked end-to-end examples are kept under evals/ (each *.json manifest contains a runnable scenario). Run a Tier-3 evaluation to replay them: nv-base...
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| 9082 | nutritional-specialist | ailabs-393/ai-labs-claude-skills |
Nutritional Specialist Overview This skill transforms Claude into a personalized nutritional advisor by maintaining a persistent database of user food preferences, allergies, goals, and dietary restrictions. The skill ensures all food-related advice is tailored to the individual user's needs and constraints. When to Use This Skill Invoke this skill for any food-related query, including: Meal planning and suggestions Recipe recommendations Nutritional advice and information Dietary planning f...
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| 9083 | nemo-rl-docs | nvidia/skills |
Documentation Conventions Keep docs/index.md Up to Date When a new markdown doc is added under docs//*.md or a markdown file is renamed, ensure that @docs/index.md is updated and the document appears in the most appropriate section. Docstring Format Use Google style docstrings for classes and functions. These are parseable by Sphinx. For interfaces that may be used outside a file, prefer docstrings over comments. Comments should be reserved for code within a function or interfaces local to a fil...
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| 9084 | holoscan-setup | nvidia/skills |
Holoscan SDK Setup Purpose Determines the correct Holoscan SDK installation method for the current host by inspecting hardware, OS, CUDA driver, and existing tooling, then delegates to a method-specific install skill. Covers NGC container, Debian/apt, pip wheel, Conda, and source builds across Ubuntu, RHEL, IGX Orin, Jetson, and DGX Spark / Grace-Hopper platforms. Prerequisites Linux host (Ubuntu 22.04/24.04, RHEL 9.x, IGX Orin, Jetson, or DGX Spark / Grace-Hopper) NVIDIA GPU with a working driv...
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| 9085 | holoscan-install-container | nvidia/skills |
Holoscan NGC Container Installation Purpose Pull and verify the official Holoscan SDK container from NGC ( nvcr.io/nvidia/clara-holoscan/holoscan ), selecting the right CUDA/arch tag for the host GPU and validating with the bundled Python and C++ examples. Prerequisites Linux host with an NVIDIA GPU and a working driver ( nvidia-smi ). Docker installed and the user in the docker group (or sudo ). NVIDIA Container Toolkit installed ( docker run --gpus all works). ~10–20 GB free disk for the image...
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| 9086 | p7 | tanweai/pua |
PUA P7 骨干 — 方案驱动执行 在 P8 管理下执行子任务。先设计方案 + 影响分析,再实施编码,完成后三问自审查。 详细协议见 references/p7-protocol.md 。加载后按协议执行。 核心行为遵循 /pua 核心 skill 的三条红线和旁白协议。
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| 9087 | script-writer | ailabs-393/ai-labs-claude-skills |
Script Writer Overview This skill transforms Claude into a professional YouTube scriptwriter that understands your unique style and generates complete, engaging video scripts optimized for viewer retention and engagement. When to Use This Skill Invoke this skill for YouTube scriptwriting tasks: Writing complete video scripts Creating hooks and introductions Structuring content for engagement Adapting scripts to different formats Maintaining consistent voice and style Generating multiple scri...
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| 9088 | seo-audit | brightdata/skills |
SEO Audit You are an expert in search engine optimization. Your goal is to identify SEO issues and provide actionable recommendations to improve organic search performance. Initial Assessment Check for product marketing context first: If .agents/product-marketing-context.md exists (or .claude/product-marketing-context.md in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task. Before auditing, understand: Site ...
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| 9089 | dingtalk-document | breath57/dingtalk-skills |
钉钉文档技能 负责钉钉知识库和文档的所有操作,通过钉钉开放平台 API 实现。 API 详情见 references/api.md 。 配置管理(每次开始前必读) 配置文件路径 ~/.dingtalk-skills/config (跨会话保留,所有 dingtalk-skills 共用同一文件) 本技能需要的配置 键 说明 来源 DINGTALK_APP_KEY 钉钉应用 appKey 开放平台 → 应用管理 → 凭证信息 DINGTALK_APP_SECRET 钉钉应用 appSecret 同上 DINGTALK_OPERATOR_ID 操作人 unionId 见下方"为什么需要 operatorId"章节 启动流程(每次执行任务前) 读取配置 :检查 ~/.dingtalk-skills/config 是否存在,解析已有键值 识别缺失项 :找出上表中尚未配置的键 一次性收集 :将所有缺失项合并为一条提问, 不要逐条询问 ,例如: 需要以下信息才能继续(已有的无需再填): 钉钉应用 appKey(钉钉开放平台 → 应用管理 → 凭证信息) 钉钉应用 appSecret 你的钉钉 us...
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| 9090 | mcore-create-issue | nvidia/skills |
Triage CI Failure into a GitHub Issue Investigate a failing GitHub Actions job, extract the root cause, and file a well-structured bug issue against NVIDIA/Megatron-LM . Workflow 1. Parse the URL The argument is a GitHub Actions URL. It will be one of: Job URL : https://github.com/<owner>/<repo>/actions/runs/<run_id>/job/<job_id> Run URL : https://github.com/<owner>/<repo>/actions/runs/<run_id> Extract run_id and, if present, job_id . 2. Identify failed jobs Show more Installs 538 Repository nvi...
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| 9091 | mcore-run-on-slurm | nvidia/skills |
Run Megatron-LM on SLURM Answer-First Constants For text-only SLURM setup questions, answer with these constants before the full script: Show more Installs 531 Repository nvidia/skills GitHub Stars 1.3K First Seen May 30, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Pass
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| 9092 | banner-creator | resciencelab/opc-skills |
Banner Creator Skill Create professional banners through AI image generation with an iterative design process. Prerequisites Required API Keys (set in environment): GEMINI_API_KEY - Get from Google AI Studio Required Skills: nanobanana - AI image generation (Gemini 3 Pro Image) File Output Location All generated files should be saved to the .skill-archive directory: .skill-archive/banner-creator/<yyyy-mm-dd-summaryname>/ Example: .skill-archive/banner-creator/2026-01-19-opc-banner/ ...
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| 9093 | holoscan-install-wheel | nvidia/skills |
Holoscan pip Wheel Installation Purpose Install the Holoscan SDK Python bindings via the holoscan-cu12 / holoscan-cu13 pip wheel into a virtual environment, and verify with hello_world and video_replayer . Prerequisites Linux x86_64 with NVIDIA GPU + driver ( nvidia-smi ). CUDA Toolkit on PATH matching the host CUDA major (12 or 13). Python 3.10–3.13 with venv available. Network access to PyPI and docs.nvidia.com . Limitations Python only. For C++ headers/libs, pair with /holoscan-install-debian...
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| 9094 | holoscan-install-conda | nvidia/skills |
Holoscan Conda Installation Purpose Install the Holoscan SDK (Python runtime and/or C++ dev headers) into a Conda environment on Linux x86_64, using conda-forge + rapidsai with a correctly pinned CUDA metapackage. Prerequisites Linux x86_64 with an NVIDIA GPU and CUDA 13 driver (check nvidia-smi ). conda (Miniforge preferred). Step 1 installs it if missing. Network access to conda-forge, rapidsai, and docs.nvidia.com . Limitations CUDA 13 only (since v4.3.0 — earlier releases were CUDA 12). If t...
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| 9095 | holoscan-install-source | nvidia/skills |
Holoscan SDK — Build from Source Purpose Build the Holoscan SDK from the nvidia-holoscan/holoscan-sdk source tree using its ./run script (which builds inside a Docker container), producing a local install tree consumable as a CMake dependency. Prerequisites Linux host with NVIDIA GPU + driver ( nvidia-smi ). git , Docker with NVIDIA Container Toolkit ( docker run --gpus all works), and docker-buildx-plugin . ~20 GB free disk for the build container + build/install trees. 10–30 min for a clean fi...
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| 9096 | mcore-testing | nvidia/skills |
Testing Guide Answer-First Testing Facts For questions about disabling tests without deleting them: Functional recipe entries stay in YAML; disable by suffixing scope with -broken , for example scope: [mr-github] -> scope: [mr-github-broken] . Unit-test skips use pytest markers instead: @pytest.mark.flaky_in_dev skips in the default dev environment, and @pytest.mark.flaky skips in LTS. Do not delete the test case or recipe entry when the goal is discoverability and easy re-enable. Test Layout Sh...
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| 9097 | nv-generate-mr-brain | nvidia/skills |
NV-Generate-MR-Brain Purpose Used for generating synthetic brain MRI volumes with NV-Generate-CTMR rflow-mr-brain. Not for production training data. Use the wrapper exactly as documented; do not replace the upstream entrypoint with a handwritten implementation. Do not write custom inference code for normal runs. The wrapper owns config staging, output paths, and validation. Manifest I/O: inputs are model_config_override ; outputs are synthetic_mr_brain_volumes and result_json . Instructions Read...
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| 9098 | holoscan-install-debian | nvidia/skills |
Holoscan Debian/apt Installation Purpose Install the Holoscan SDK C++ runtime + headers on Ubuntu using NVIDIA's apt repo, selecting the right holoscan-cuda-* package for the host's CUDA driver and verifying with the bundled C++ examples. Prerequisites Ubuntu x86_64 (22.04 / 24.04) or ARM64 (Jetson / IGX) with an NVIDIA GPU and working driver ( nvidia-smi ). sudo and network access to developer.download.nvidia.com and docs.nvidia.com . cuda-keyring package (Step 2 installs it if missing). Limita...
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| 9099 | nemo-rl-brev-etiquette | nvidia/skills |
Brev Etiquette Operate as though /home/ubuntu/RL is the source checkout and /ephemeral is the working storage for generated experiment state. Keep the repo small, reproducible, and easy to inspect. Move bulky run outputs to /ephemeral before launching anything expensive. Storage Rules Keep code edits, small config changes, committed experiment hypotheses, and concise reproducibility records under /home/ubuntu/RL . Put generated experiment assets under /ephemeral , including checkpoints, run logs...
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| 9100 | everything-claude-code-harness | reason-machines/trending-skills |
Everything Claude Code (ECC) — Agent Harness Performance System Skill by ara.so — Daily 2026 Skills collection. Everything Claude Code (ECC) is a production-ready performance optimization system for AI agent harnesses. It provides specialized subagents, reusable skills, custom slash commands, memory-persisting hooks, security scanning, and language-specific rules — all evolved from 10+ months of daily real-world use. Works across Claude Code, Cursor, Codex, OpenCode, and Antigravity. Installatio...
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