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Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 6951 | vss-deploy-detection-tracking-2d | nvidia/skills |
Purpose Deploy, debug, and operate the RTVI-CV detection / tracking 2D microservice and drive its REST API. 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 , quick start , or flow is intended to be executed top-to-...
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| 6952 | vss-deploy-dense-captioning | nvidia/skills |
Purpose Stand up the RT-VLM dense-captioning microservice on its own and exercise every endpoint it exposes (file upload, generate_captions, stream add/delete, chat-completions, Kafka topics). Prerequisites For standalone RT-VLM deployment: Docker, Docker Compose, NVIDIA Container Toolkit, and a visible GPU. NGC registry credentials in $NGC_CLI_API_KEY for docker login nvcr.io , image pulls, and local NGC model/artifact downloads. curl , jq , and any writable working directory for the standalone...
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| 6953 | 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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| 6954 | vss-setup-video-analytics-api | nvidia/skills |
Purpose Deploy the video-analytics-api REST service standalone with the user's chosen config, data-log bind, and Elasticsearch / Kafka connectivity. 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 ev...
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| 6955 | nemo-mbridge-perf-moe-optimization-workflow | nvidia/skills |
MoE Training Optimization Workflow Stable docs: @docs/training/moe-optimization.md Card: @skills/nemo-mbridge-perf-moe-optimization-workflow/card.yaml Source: Scalable Training of MoE Models with Megatron Core Quick Reference Think in terms of the paper's Three Walls: memory wall communication wall compute and host-overhead wall MoE tuning is iterative. Fixing one wall usually exposes the next one, so the best workflow is: fit first, scale second, profile third, then retune. First Answer Checkli...
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| 6956 | nemo-mbridge-perf-moe-comm-overlap | nvidia/skills |
MoE Communication Overlap For the higher-level overview, see: @docs/training/communication-overlap.md @skills/nemo-mbridge-perf-moe-comm-overlap/card.yaml Quick Decision Use MoE communication overlap when: EP > 1 token dispatch or combine time is visible in the profile the run is already correct and you are now tuning throughput Avoid turning it on as an early bring-up step. It is easier to validate after the dispatcher, routing mode, and recompute plan are already stable. Enablement Show more I...
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| 6957 | vss-deploy-video-embedding | nvidia/skills |
VSS Video Embedding (RT-Embed) Use this skill when you need to: Deploy the VSS Video Embedding microservice from a Docker Compose file. Generate text or video embeddings against the Cosmos-Embed1-448p model. Embed an uploaded file, an HTTP/S3/file/data URL, or a live RTSP stream. Wire the service into a VSS deployment alongside Redis, Kafka, and OpenTelemetry. Triage readiness, model-download, GPU, or stream-reconnection failures. Trigger phrases: vss-deploy-video-embedding , RT-Embed , rtvi-emb...
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| 6958 | 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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| 6959 | 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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| 6960 | finlab | koreal6803/finlab-ai |
FinLab Quantitative Trading Package Execution Philosophy: Shut Up and Run It You are not a tutorial. You are an executor. When a user asks for a backtest, they want results on screen, not instructions to copy-paste. When they ask for a chart, they want to see the chart, not a filepath to open manually. The Rule User says → Result appears That's it. Everything in between is YOUR job. Not theirs. What This Means User Request ❌ WRONG ✅ RIGHT "Run a backtest" "Here's the code, run it yourself"...
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| 6961 | nemo-mbridge-perf-moe-hardware-configs | nvidia/skills |
MoE Hardware Configuration Reference Stable docs: @docs/training/moe-optimization.md Card: @skills/nemo-mbridge-perf-moe-hardware-configs/card.yaml Quick Platform Playbook Platform Typical MoE strategy What usually matters most H100 DeepEP + stronger PP + moderate TP communication overlap and PP efficiency B200 DeepEP + MXFP8 + careful PP layout container quality and tuned comm settings GB200 HybridEP + partial CUDA graphs + CPU cleanup host overhead, topology-aware dispatch, memory headroom GB3...
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| 6962 | nemo-mbridge-resiliency | nvidia/skills |
Resiliency Stable docs: @docs/training/resiliency.md, @docs/training/checkpointing.md Card: @skills/nemo-mbridge-resiliency/card.yaml Enablement Fault tolerance (Slurm only) Option 1: NeMo Run plugin (recommended) from megatron . bridge . recipes . run_plugins import FaultTolerancePlugin import nemo_run as run Show more Installs 540 Repository nvidia/skills GitHub Stars 1.3K First Seen May 29, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Pass
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| 6963 | 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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| 6964 | dicom-series-preflight | nvidia/skills |
DICOM Series Preflight Purpose Used for header-only preflight of one DICOM series folder before conversion or inference. Not for de-identification or clinical clearance. Use the wrapper exactly as documented; do not replace the upstream entrypoint with a handwritten implementation. Manifest I/O: inputs are dicom_dir ; outputs are preflight_json . Instructions Read skill_manifest.yaml before changing arguments, side effects, or validation gates. Run scripts/preflight_series.py through the documen...
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| 6965 | vss-generate-video-calibration | nvidia/skills |
Purpose Run AutoMagicCalib end-to-end on local files, RTSP streams, or the bundled sample dataset and (when needed) deploy the AMC microservice. 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/ ; load only the reference needed for the selected input mode. Examples Worked end-to-end examples are kept under evals/ (each *.json...
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| 6966 | vss-manage-video-io-storage | nvidia/skills |
Purpose Manage VIOS and NvStreamer API operations for VSS video input/output and storage workflows: sensors, streams, uploads, snapshots, clips, timelines, and recording status. 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 VIOS Operations Call the VIOS REST API to manage cameras/sensors, RTSP streams, rec...
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| 6967 | 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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| 6968 | nemo-mbridge-perf-sequence-packing | nvidia/skills |
Sequence Packing Skill For stable background and recommendation level, see: @docs/training/packed-sequences.md @skills/nemo-mbridge-perf-sequence-packing/card.yaml Enablement Offline packed SFT for LLM finetuning: from megatron . bridge . data . datasets . packed_sequence import PackedSequenceSpecs Show more Installs 538 Repository nvidia/skills GitHub Stars 1.3K First Seen May 29, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Pass
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| 6969 | 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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| 6970 | cufolio | nvidia/skills |
cuFOLIO Skill Purpose Build and analyze quantitative portfolios with NVIDIA-accelerated Mean-CVaR optimization. Use cuFOLIO to compute returns, generate KDE scenarios, solve allocations with the cuOpt GPU solver, trace an efficient frontier, backtest portfolios, and run rebalancing workflows from price data. When to Use Use this skill when the task is to: Show more Installs 597 Repository nvidia/skills GitHub Stars 2.0K First Seen Jun 11, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass...
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| 6971 | pptx | tfriedel/claude-office-skills |
PPTX Skill Quick Reference Task Guide Read/analyze content python -m markitdown presentation.pptx Edit or create from template Read editing.md Create from scratch Read pptxgenjs.md Reading Content Text extraction python -m markitdown presentation.pptx Visual overview python scripts/thumbnail.py presentation.pptx Raw XML python scripts/office/unpack.py presentation.pptx unpacked/ Editing Workflow Read editing.md for full details. Analyze template with thumbnail.py Unpack → manipulate slides → ...
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| 6972 | 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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| 6973 | 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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| 6974 | 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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| 6975 | 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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| 6976 | 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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| 6977 | managing-up | refoundai/lenny-skills |
Managing Up Help the user work effectively with their manager and executives using strategies from 35 product leaders. How to Help When the user asks for help managing up: Understand the relationship - Ask about their manager's style, what they care about, and where the friction or challenge is Diagnose the gap - Determine if this is a communication issue, alignment issue, trust issue, or visibility issue Apply the right approach - Help them choose between proactive updates, reframing conversati...
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| 6978 | 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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| 6979 | 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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| 6980 | harvard-art-museums-etl-pipeline | aradotso/data-skills |
Harvard Art Museums ETL Pipeline Skill by ara.so — Data Skills collection. This skill enables AI agents to help developers build end-to-end data engineering and analytics applications using the Harvard Art Museums API. The project demonstrates real-world ETL pipelines, SQL database design, analytical queries, and interactive Streamlit dashboards for artifact collection data. What This Project Does The Harvard Artifacts Collection Data Engineering & Analytics App provides: API Integration : Fetch...
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| 6981 | remember | alirezarezvani/claude-skills |
The user wants to save this to long-term memory: $ARGUMENTS Quick start memory_save { "content" : "We rotate JWT refresh tokens on every use; the old token is revoked server-side in auth/refresh.ts." , "concepts" : "jwt-refresh-rotation, token-revocation, auth-flow" , "files" : "src/auth/refresh.ts" } Expected output: Saved memory abc12345 with 3 concepts: jwt-refresh-rotation, token-revocation, auth-flow. Why Show more Installs 9.2K Repository rohitg00/agentmemory GitHub Stars 26.5K First Seen ...
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| 6982 | dicom-series-to-volume | nvidia/skills |
dicom_series_to_volume Purpose Used for converting one CT DICOM series folder to a HU NIfTI volume with affine evidence. Not for multi-frame DICOM or clinical use. Use the wrapper exactly as documented; do not replace the upstream entrypoint with a handwritten implementation. Manifest I/O: inputs are dicom_dir ; outputs are nifti_volume and result_json . Instructions Read skill_manifest.yaml before changing arguments, side effects, or validation gates. Run scripts/series_to_volume.py through the...
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| 6983 | harvard-art-museums-data-engineering-pipeline | aradotso/data-skills |
Harvard Art Museums Data Engineering Pipeline Skill by ara.so — Data Skills collection. What This Project Does The Harvard-Artifacts-Collection-Data-Engineering-Analytics-App is a complete data engineering solution that demonstrates: API Integration : Fetching artifact data from Harvard Art Museums API with pagination and rate limiting ETL Pipeline : Extracting, transforming, and loading nested JSON into normalized SQL tables Database Design : Multi-table relational schema with proper foreign ke...
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| 6984 | market-research-reports | davila7/claude-code-templates |
Market Research Reports Overview Market research reports are comprehensive strategic documents that analyze industries, markets, and competitive landscapes to inform business decisions, investment strategies, and strategic planning. This skill generates professional-grade reports of 50+ pages with extensive visual content, modeled after deliverables from top consulting firms like McKinsey, BCG, Bain, Gartner, and Forrester. Key Features: Comprehensive length: Reports are designed to be 50+ pa...
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| 6985 | migrate-app-to-flows | cognitedata/builder-skills |
Migrate App to Flows Infrastructure Orchestrates the full migration of a legacy Dune app to the new Flows app hosting ( appsApi ). Works through each area in order, skipping any already in the correct state. Step 1 — Audit current state Read app.json , package.json , vite.config.ts , and manifest.json (if present). Report a concise summary before making any changes: Migration audit: ✗ app.json: missing infra field → will add "infra": "appsApi" ✗ Auth: DuneAuthProvider in use → will run setup-flo...
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| 6986 | bullmq-specialist | sickn33/antigravity-awesome-skills |
BullMQ Specialist BullMQ expert for Redis-backed job queues, background processing, and reliable async execution in Node.js/TypeScript applications. Principles Jobs are fire-and-forget from the producer side - let the queue handle delivery Always set explicit job options - defaults rarely match your use case Idempotency is your responsibility - jobs may run more than once Backoff strategies prevent thundering herds - exponential beats linear Dead letter queues are not optional - failed jobs need...
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| 6987 | 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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| 6988 | harvard-artifacts-etl-pipeline | aradotso/data-skills |
Harvard Artifacts ETL Pipeline Skill by ara.so — Data Skills collection. This skill enables AI coding agents to help developers build end-to-end data engineering pipelines using the Harvard Art Museums API. The project demonstrates real-world ETL patterns, SQL database design, analytical queries, and interactive visualization using Streamlit. What This Project Does The Harvard Artifacts Collection application: Fetches artifact data from Harvard Art Museums API with pagination Transforms nested J...
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| 6989 | 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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| 6990 | 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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| 6991 | init | alirezarezvani/claude-skills |
Initialize Playwright Project Set up a production-ready Playwright testing environment. Detect the framework, generate config, folder structure, example test, and CI workflow. Steps 1. Analyze the Project Use the Explore subagent to scan the project: Check package.json for framework (React, Next.js, Vue, Angular, Svelte) Check for tsconfig.json → use TypeScript; otherwise JavaScript Check if Playwright is already installed ( @playwright/test in dependencies) Check for existing test directories (...
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| 6992 | 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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| 6993 | 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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| 6994 | snowflake-dbt-airbnb-analytics | aradotso/data-skills |
Snowflake dbt Airbnb Analytics Skill by ara.so — Data Skills collection. This project demonstrates a complete analytics engineering workflow using Snowflake, dbt, and Streamlit. It loads Inside Airbnb open data into Snowflake, transforms it through a layered dbt architecture (staging → intermediate → marts), validates data quality with tests, and serves insights via a Streamlit dashboard. What This Project Does Raw data ingestion : Loads CSV/GZIP files from Inside Airbnb into Snowflake internal ...
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| 6995 | 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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| 6996 | trump-perspective | alchaincyf/trump-skill |
特朗普 · 思维操作系统 "I aim very high, and then I just keep pushing and pushing and pushing to get what I'm after. Sometimes I settle for less than I sought, but in most cases I still end up with what I want." ——The Art of the Deal, 1987 激活确认(优先执行) Skill激活后, 先判断使用模式 ,再响应: 触发信号 模式 执行路径 「懂王会怎么说」「切换到懂王」「用特朗普口吻」 角色扮演 见下方路径A 「分析特朗普」「预测他会怎么做」「用他的框架分析」「他这条推的意思是」 分析师 见下方路径B 模糊输入 默认分析师模式 路径B,必要时说明「如需角色扮演可告诉我」 角色扮演规则(路径A) 激活后直接以特朗普身份回应。 执行步骤: 读取「身份卡」,建立第一人称基础 用「表达DNA」塑造语气和句式(短句、绝对化、GREAT/HUGE词库) 遇到具体话题,调用对应的「心智模型...
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| 6997 | 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...
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| 6998 | sandbox-npm-install | github/awesome-copilot |
Sandbox npm Install When to Use This Skill Use this skill whenever: You need to install npm packages for the first time in a new sandbox session package.json or package-lock.json has changed and you need to reinstall You encounter native binary crashes with errors like SIGILL , SIGSEGV , mmap , or unaligned sysNoHugePageOS The node_modules directory is missing or corrupted Prerequisites A Docker sandbox environment with a virtiofs-mounted workspace Node.js and npm available in the container A pa...
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| 6999 | 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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| 7000 | 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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