███████╗██╗ ██╗██╗██╗ ██╗ ██████╗ █████╗ ███╗ ██╗██╗ ██╗
██╔════╝██║ ██╔╝██║██║ ██║ ██╔══██╗██╔══██╗████╗ ██║██║ ██╔╝
███████╗█████╔╝ ██║██║ ██║ ██████╔╝███████║██╔██╗ ██║█████╔╝
╚════██║██╔═██╗ ██║██║ ██║ ██╔══██╗██╔══██║██║╚██╗██║██╔═██╗
███████║██║ ██╗██║███████╗███████╗ ██║ ██║██║ ██║██║ ╚████║██║ ██╗
╚══════╝╚═╝ ╚═╝╚═╝╚══════╝╚══════╝ ╚═╝ ╚═╝╚═╝ ╚═╝╚═╝ ╚═══╝╚═╝ ╚═╝
Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 9001 | 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
|
1.8K |
| 9002 | 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 ,...
|
1.8K |
| 9003 | 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....
|
1.8K |
| 9004 | 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...
|
1.8K |
| 9005 | 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...
|
1.8K |
| 9006 | 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...
|
1.8K |
| 9007 | 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...
|
1.8K |
| 9008 | 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...
|
1.8K |
| 9009 | 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。
|
1.8K |
| 9010 | 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...
|
1.8K |
| 9011 | 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 ...
|
1.8K |
| 9012 | 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...
|
1.8K |
| 9013 | 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...
|
1.8K |
| 9014 | 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
|
1.8K |
| 9015 | 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/ ...
|
1.8K |
| 9016 | 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...
|
1.8K |
| 9017 | 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...
|
1.8K |
| 9018 | 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...
|
1.8K |
| 9019 | 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...
|
1.8K |
| 9020 | 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...
|
1.8K |
| 9021 | 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...
|
1.8K |
| 9022 | 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...
|
1.8K |
| 9023 | 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...
|
1.8K |
| 9024 | mcore-split-pr | nvidia/skills |
Split PR by CODEOWNERS Groups Split a large pull request into multiple smaller PRs, where each PR touches the fewest possible CODEOWNERS reviewer groups. The goal is to reduce review burden: a PR that only touches megatron/core/ needs only the core reviewers, while a PR that also touches examples/ , tools/ , and megatron/training/ pulls in many additional groups. Answer-First Constraints For split-planning questions, lead with these constraints before the full workflow: Show more Installs 539 Re...
|
1.8K |
| 9025 | requesthunt | resciencelab/opc-skills |
RequestHunt Skill Generate user demand research reports by collecting and analyzing real user feedback from Reddit, X (Twitter), and GitHub. Prerequisites Set API key in ~/.zshrc: export REQUESTHUNT_API_KEY="your_api_key" Get your key from: https://requesthunt.com/settings/api Quick Check: cd <skill_directory> python3 scripts/get_usage.py Research Workflow This skill helps you generate comprehensive user demand research reports. Follow this workflow: Step 1: Define Scope Before colle...
|
1.8K |
| 9026 | puppeteer-automation | mindrally/skills |
Puppeteer Browser Automation You are an expert in Puppeteer, Node.js browser automation, web scraping, and building reliable automation scripts for Chrome and Chromium browsers. Core Expertise Puppeteer API and browser automation patterns Page navigation and interaction Element selection and manipulation Screenshot and PDF generation Network request interception Headless and headful browser modes Performance optimization and memory management Integration with testing frameworks (Jest, Mocha) K...
|
1.8K |
| 9027 | nv-generate-mr-brain-finetune | nvidia/skills |
NV-Generate-MR-Brain-Finetune Purpose Used for finetuning the NV-Generate-CTMR rflow-mr-brain diffusion UNet from user-supplied NIfTI training volumes. Not for clinical interpretation, regulatory use, or approving synthetic data for production training. The wrapper stages the config glue locally and delegates execution to existing upstream scripts: scripts.diff_model_create_training_data , scripts.diff_model_train , and optionally scripts.diff_model_infer . It does not execute the notebook. Mani...
|
1.8K |
| 9028 | gitlab-cli-skills | vince-winkintel/gitlab-cli-skills |
GitLab CLI Skills Comprehensive GitLab CLI (glab) command reference and workflows. Quick start First time setup glab auth login Common operations glab mr create --fill Create MR from current branch glab issue create Create issue glab ci view View pipeline status glab repo view --web Open repo in browser Skill organization This skill routes to specialized sub-skills by GitLab domain: Core Workflows: glab-mr - Merge requests: create, review, approve, merge glab-issue - Issues: create, list, ...
|
1.8K |
| 9029 | ui-design | starchild-ai-agent/official-skills |
Only code in HTML/Tailwind in a single code block. Any CSS styles should be in the style attribute. Start with a response, then code and finish with a response. Don't mention about tokens, Tailwind or HTML. Always include the html, head and body tags. Use lucide icons for javascript, 1.5 strokewidth. Unless style is specified by user, design in the style of Linear, Stripe, Vercel, Tailwind UI (IMPORTANT: don't mention names). Checkboxes, sliders, dropdowns, toggles should be custom (don't add, o...
|
1.8K |
| 9030 | tools | launchdarkly/ai-tooling |
assistant-ui Tools Always consult assistant-ui.com/llms.txt for latest API. Tools let LLMs trigger actions with custom UI rendering. References ./references/make-tool.md -- makeAssistantTool/useAssistantTool ./references/tool-ui.md -- makeAssistantToolUI rendering ./references/human-in-loop.md -- Confirmation patterns Tool Types Where does the tool execute? ├─ Backend (LLM calls API) → AI SDK tool() │ └─ Want custom UI? → makeAssistantToolUI └─ Frontend (browser-only) → makeAssistantTool ...
|
1.8K |
| 9031 | nv-segment-ct | nvidia/skills |
NV-Segment-CT Purpose Used for running NV-Segment-CT VISTA3D on CT NIfTI volumes and recording label-map evidence. Not for clinical interpretation. Use the wrapper exactly as documented; do not replace the upstream entrypoint with a handwritten implementation. Manifest I/O: inputs are ct_volume ; outputs are label_map and result_json . Instructions Read skill_manifest.yaml before changing arguments, side effects, or validation gates. Run scripts/run_vista3d.py through the documented command belo...
|
1.8K |
| 9032 | nv-generate-mr | nvidia/skills |
NV-Generate-MR Purpose Used for generating synthetic body MRI volumes with NV-Generate-CTMR rflow-mr. Not for paired masks or 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_volumes and result_json . Instructions Read sk...
|
1.8K |
| 9033 | nv-generate-ct-rflow | nvidia/skills |
NV-Generate-CT (rflow-ct) Purpose Used for generating synthetic CT volumes and masks with NV-Generate-CTMR rflow-ct. Not for production training data without review. 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, label mapping evidence, and validation. Manifest I/O: inputs are config_infer_override ; outputs are synthetic_ct_volumes ...
|
1.8K |
| 9034 | web-development | tencentcloudbase/skills |
When to use this skill Use this skill for Web frontend project development when you need to: Develop web frontend pages and interfaces Deploy static websites to CloudBase static hosting Integrate CloudBase Web SDK for database, cloud functions, and authentication Set up modern frontend build systems (Vite, Webpack, etc.) Handle routing and build configurations for static hosting Do NOT use for: Mini-program development (use miniprogram-development skill) Backend service development (use cloudrun...
|
1.8K |
| 9035 | icon-set-generator | jezweb/claude-skills |
Icon Set Generator Generate custom, visually consistent SVG icon sets tailored to specific projects. Each set is built from a shared style specification so every icon looks like it belongs with the others — same stroke weight, same corner treatment, same visual density. Why This Matters Generic icon libraries (Lucide, Heroicons) are great but every site using them looks similar. A custom icon set gives a project distinct visual identity. The hard part is consistency — drawing 20+ icons individua...
|
1.8K |
| 9036 | experience-lds-graphql-generate | forcedotcom/sf-skills |
Building LDS GraphQL Generate schema-validated Salesforce LDS GraphQL queries (read or mutation), either as standalone queries or wired into a Lightning Web Component via the lightning/graphql adapters. The skill encodes the schema-as-source-of-truth workflow end-to-end. Two bundled bash scripts handle the org-aware steps — scripts/fetch-lds-graphql-schema.sh for schema introspection and scripts/test-lds-graphql-query.sh for live-org validation. When to Use User wants to create, modify, or integ...
|
1.8K |
| 9037 | nv-reason-cxr | nvidia/skills |
NV-Reason-CXR Purpose Used for command-shape or live NV-Reason-CXR chest X-ray reasoning smoke tests. Not for diagnosis or clinical reporting. Use the wrapper exactly as documented; do not replace the upstream entrypoint with a handwritten implementation. Manifest I/O: inputs are chest_xray_image_or_fixture ; outputs are result_json . Instructions Read skill_manifest.yaml before changing arguments, side effects, or validation gates. Run scripts/run_nv_reason_cxr.py through the documented command...
|
1.8K |
| 9038 | design-system | buildgreatproducts/builder-os |
Design System Token architecture, component specifications, systematic design, slide generation. When to Use Design token creation Component state definitions CSS variable systems Spacing/typography scales Design-to-code handoff Tailwind theme configuration Slide/presentation generation Token Architecture Load: references/token-architecture.md Three-Layer Structure Show more Installs 4.4K Repository nextlevelbuilde…ax-skill GitHub Stars 101.7K First Seen 12 days ago Security Audits Gen Agent Tru...
|
1.8K |
| 9039 | nv-segment-ctmr | nvidia/skills |
NV-Segment-CTMR Purpose Used for running NV-Segment-CTMR on CT or MRI NIfTI volumes and recording label-map evidence. Not for clinical interpretation. Use the wrapper exactly as documented; do not replace the upstream entrypoint with a handwritten implementation. Manifest I/O: inputs are ct_or_mr_volume ; outputs are label_map and result_json . Instructions Read skill_manifest.yaml before changing arguments, side effects, or validation gates. Run scripts/run_ctmr.py through the documented comman...
|
1.8K |
| 9040 | sentry-tanstack-start-sdk | getsentry/sentry-for-ai |
All Skills > SDK Setup > TanStack Start React SDK Sentry TanStack Start React SDK Opinionated wizard that scans your TanStack Start React project and guides you through complete Sentry setup for browser and server runtimes. Invoke This Skill When User asks to "add Sentry to TanStack Start" or "set up Sentry" in a TanStack Start React app User wants to install or configure @sentry/tanstackstart-react User wants error monitoring, tracing, session replay, logs, or user feedback for TanStack Start R...
|
1.8K |
| 9041 | recon-a-domain-passively | useosint/skills |
Recon a domain passively Turn one domain into a defensible map of an organization's internet-facing estate plus the owner behind it. The techniques live in other skills; what this workflow contributes is the order , the inventory , and the stopping rule . Two failure modes to avoid from the start: enumerating for hours and producing 400 hostnames with no attribution, dates or priority, which is not a map; and drifting active without noticing, because one probe "just to check if it's up" ends the...
|
1.8K |
| 9042 | gitnexus-exploring | abhigyanpatwari/gitnexus |
Exploring Codebases with GitNexus When to Use "How does authentication work?" "What's the project structure?" "Show me the main components" "Where is the database logic?" Understanding code you haven't seen before Workflow 1. READ gitnexus://repos → Discover indexed repos 2. READ gitnexus://repo/{name}/context → Codebase overview, check staleness 3. gitnexus_query({query: "<what you want to understand>"}) → Find related execution flows 4. gitnexus_context({n...
|
1.8K |
| 9043 | transitions-dev | jakubantalik/transitions-dev |
Transitions.dev Twelve portable CSS transitions, each namespaced under t-* selectors with semantic CSS custom properties. Drop-in: paste the snippet, wire the documented HTML hooks, done. No framework dependencies, no demo-specific markup, and every snippet ships a prefers-reduced-motion guard. Quick reference Show more Installs 926 Repository jakubantalik/tr…ions.dev GitHub Stars 954 First Seen 9 days ago Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Pass
|
1.8K |
| 9044 | mobile-design | davila7/claude-code-templates |
Mobile Design System (Mobile-First · Touch-First · Platform-Respectful) Philosophy: Touch-first. Battery-conscious. Platform-respectful. Offline-capable. Core Law: Mobile is NOT a small desktop. Operating Rule: Think constraints first, aesthetics second. This skill exists to prevent desktop-thinking, AI-defaults, and unsafe assumptions when designing or building mobile applications. 1. Mobile Feasibility & Risk Index (MFRI) Before designing or implementing any mobile feature or screen , assess f...
|
1.8K |
| 9045 | nv-segment-ct-finetune | nvidia/skills |
NV-Segment-CT Finetune Purpose Used for smoke or dataset finetuning of NV-Segment-CT VISTA3D on CT NIfTI labels. Not for clinical validation. Wraps the upstream MONAI bundle entrypoint; do not replace it with handwritten training or inference code. Manifest inputs are dataset_dir , datalist , target_anatomy , label_mapping , smoke , sanity , auto_seg , and skip_formal_eval . Manifest outputs are finetuned_ckpt and schema-checked result_json . Instructions Run scripts/run_finetune.py ; do not pat...
|
1.8K |
| 9046 | senior-data-engineer | davila7/claude-code-templates |
Senior Data Engineer World-class senior data engineer skill for production-grade AI/ML/Data systems. Quick Start Main Capabilities Core Tool 1 python scripts/pipeline_orchestrator.py --input data/ --output results/ Core Tool 2 python scripts/data_quality_validator.py --target project/ --analyze Core Tool 3 python scripts/etl_performance_optimizer.py --config config.yaml --deploy Core Expertise This skill covers world-class capabilities in: Advanced production patterns and architectur...
|
1.8K |
| 9047 | nodejs-core | mcollina/skills |
When to use Use this skill when you need deep Node.js internals expertise, including: C++ addon development V8 engine debugging libuv event loop issues Build system problems Compilation failures Performance optimization at the engine level Understanding Node.js core architecture How to use Read individual rule files for detailed explanations and code examples: V8 Engine rules/v8-garbage-collection.md - Scavenger, Mark-Sweep, Mark-Compact, generational GC rules/v8-hidden-classes.md - Hidden class...
|
1.8K |
| 9048 | nv-generate-vae-finetune | nvidia/skills |
NV-Generate-VAE-Finetune Purpose Used for finetuning the NV-Generate-CTMR MAISI VAE/autoencoder from user-supplied CT or MRI NIfTI training volumes. Not for clinical interpretation, regulatory use, or approving synthetic data for production training. Upstream currently documents VAE training in train_vae_tutorial.ipynb and provides configs/helpers, but not a scripts.train_vae CLI. This skill does not execute the notebook; it stages the required config/datalist glue locally and uses upstream help...
|
1.8K |
| 9049 | _references | jihe520/mathmodelagent |
_references 本文件夹是共享规范知识库,不是可独立执行的 skill。 其他 skills 在需要领域判断时会读取 math_modeling_norms.md 中的相关小节。请勿手动触发此 skill。 Installs 840 Repository jihe520/mathmodelagent GitHub Stars 3.4K First Seen Jun 5, 2026
|
1.8K |
| 9050 | doctor | jihe520/mathmodelagent |
Doctor — 环境检查与安装向导 本 skill 检查完整数学建模工作流所需的所有工具是否已就绪,并帮助用户安装缺失项。 本 skill 只在用户显式触发时运行,不自动执行。 检查项清单 核心工具 工具 用途 检测命令 typst 论文编译(5writing、6verity,Typst 引擎) command -v typst xelatex 论文编译(5writing、6verity,LaTeX 引擎,中文模板必需) command -v xelatex python3 数值计算与图表(3coding-visual) command -v python3 drawio / draw.io DrawIO 流程图导出 PDF(4drawio) command -v drawio || command -v draw.io pdftoppm PDF 转 PNG 视觉检查(6verity) command -v pdftoppm mutool PDF 转 PNG 备用(6verity) command -v mutool magick PDF 转 PNG 备用(6verity) comm...
|
1.8K |