Snapshot before the quality program (relevance gates, tiered mapping, QA linter). v1 is the immutable before/after reference; evidence crawl was at ~175/3039 occupations when tagged. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01PDKeXvpT6tENSvyQGLV1Uq
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External AI agent skills — singer
Proven, publicly available AI agent skills mapped to this occupation. Nothing is copied from the sources: every entry is a name, a one-line summary and a link to the upstream skill package. Each section names its source repository, commit, license and retrieval date.
Matched deterministically (ISCO group + title/competence keywords) by
pipeline/p5_enrich_ai_skills.py on 2026-07-07.
Source: anthropics/skills
- Repository: https://github.com/anthropics/skills (commit
9d2f1ae, retrieved 2026-07-07) - License: Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available — see the LICENSE.txt in the upstream skill folder
| Skill | What it adds | Upstream |
|---|---|---|
algorithmic-art |
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original … | source |
brand-guidelines |
Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply. | source |
canvas-design |
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying … | source |
docx |
Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting … | source |
pdf |
Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating … | source |
theme-factory |
Toolkit for styling artifacts with a theme. These artifacts can be slides, docs, reportings, HTML landing pages, etc. There are 10 pre-set themes with colors/fonts that you can apply to any artifact that has been creating, or can generate … | source |
Source: realkimbarrett/advertising-skills
- Repository: https://github.com/realkimbarrett/advertising-skills (commit
45f4a4a, retrieved 2026-07-07) - License: no explicit license — referenced by link only
| Skill | What it adds | Upstream |
|---|---|---|
conversion-path-builder |
Design the optimal funnel from click to conversion. Trigger on "funnel", "conversion path", "booked calls". | source |
full-funnel-campaign-orchestrator |
Coordinate all skills to build a complete advertising campaign. Trigger on "build a campaign", "full funnel", "ads + funnel". | source |
mechanism-builder |
Use when you need to explain why your solution works and others failed. Trigger on "unique mechanism", "why this works", "different angle", "positioning". | source |
Source: angular/skills
- Repository: https://github.com/angular/skills (commit
5dd20da, retrieved 2026-07-07) - License: no explicit license — referenced by link only
| Skill | What it adds | Upstream |
|---|---|---|
angular-developer |
Generates Angular code and provides architectural guidance. Trigger when creating projects, components, or services, or for best practices on reactivity (signals, linkedSignal, resource), forms, dependency injection, routing, SSR, … | source |
angular-new-app |
Creates a new Angular app using the Angular CLI. This skill should be used whenever a user wants to create a new Angular application and contains important guidelines for how to effectively create a modern Angular application. | source |
Source: ConardLi/garden-skills
- Repository: https://github.com/ConardLi/garden-skills (commit
fbd6453, retrieved 2026-07-07) - License: MIT
| Skill | What it adds | Upstream |
|---|---|---|
gpt-image-2 |
面向 GPT Image 2 的图像生成 / 编辑技能。可在 3 种环境下使用:(A) Garden 本地模式,通过 OpenAI 兼容接口直接出图并落盘;(B) Host-Native 模式,把本 Skill 当作提示词工程指引,把渲染好的 prompt 交给宿主 Agent 自带的图像工具出图;(C) Advisor 模式,宿主无任何图像工具时退化为高质量 prompt 顾问。涵盖 18 大类、80+ 个结构化模板,覆盖海报 / UI / 产品 / 信息图 / 学术图 … | source |
web-design-engineer |
Build polished visual web artifacts with HTML/CSS/JavaScript/React: pages, dashboards, prototypes, slide decks, animations, UI mockups, and data visualizations. Use when the user wants a browser-rendered, interactive, or presentational … | source |
Source: google/skills
- Repository: https://github.com/google/skills (commit
b15f327, retrieved 2026-07-07) - License: Apache-2.0
| Skill | What it adds | Upstream |
|---|---|---|
agent-platform-eval-flywheel |
Measures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology. Use when evaluating an agent or model, building an eval dataset, picking or writing evaluation metrics, analyzing … | source |
agent-platform-migrate-from-ai-studio |
Guides agents and users through migrating from Gemini API in Google AI Studio to Gemini Enterprise Agent Platform (formerly Vertex AI). Use this skill when moving applications to Google Cloud, to leverage Cloud credits, or to unify … | source |
bigquery-ai-ml |
Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-series forecasting, detect outliers, find key drivers, or leverage generative AI … | source |
bigtable-basics |
Assists in provisioning instances/tables, designing performant schemas, and querying data in Bigtable. Use when designing Bigtable row keys, configuring column families, writing SQL queries or client library code (Java, Go, Python) for … | source |
data-manager-api-audience-ingestion |
Guides developers through uploading audience members to Google products using the Data Manager API /v1/audienceMembers/ingest endpoint and its associated client libraries. Use this skill when the user wants to upload audience members for … | source |
data-manager-api-event-ingestion |
Guides developers through implementing event and conversion ingestion to Google products using the Data Manager API /v1/events/ingest endpoint and its associated client libraries. Use this skill when the user wants to upload offline … | source |
data-manager-api-setup |
Guides developers through client library installation and authentication setup steps for the Data Manager API. Use this skill when a user is getting started with the Data Manager API and needs to setup their local environment, install the … | source |
gemini-api |
Use when the user asks about using Gemini in an enterprise environment or explicitly mentions Vertex AI, Google Cloud, or Agent Platform. Guides the usage of the Gemini API on Agent Platform with the Google Gen AI SDK. Covers SDK usage … | source |
gemini-interactions-api |
Guides the usage of Gemini Interactions API on Gemini Enterprise Agent Platform. Use when the user wants to use the stateful, server-managed Interactions API for multi-turn conversations, background execution, streaming, structured output, … | source |
gke-cluster-autoscaler |
Trigger on mention of GKE cluster autoscaler, node autoscaling, node pool auto-creation / node auto-provisioning. Provides guidance on enabling and optimizing cluster autoscaler, best practices, and troubleshooting issues such as nodes not … | source |
gke-golden-path |
Provides GKE golden path configuration defaults, production readiness checklists, and cluster default patterns. Use when designing GKE clusters, verifying GKE production readiness, or checking configurations against GKE defaults. Don't use … | source |
gke-multitenancy |
Plans and configures multi-tenancy on GKE. Covers namespace isolation, RBAC planning for teams, resource quotas, LimitRanges, network isolation, and cost allocation. Use when designing GKE multi-tenancy, configuring GKE namespaces, setting … | source |
gke-networking |
Plans, configures, and manages GKE networking. Covers private clusters, VPC- native configurations, Gateway API, DNS, ingress/egress, Dataplane V2, and IP planning. Use when designing GKE networking layouts, configuring private clusters, … | source |
google-ads-api-mcp-setup |
Guides developers through downloading, configuring, and installing the official open-source Google Ads MCP Server. Use this skill when a user wants to connect their AI assistant (such as Gemini, Claude Code, or Cursor) to their Google Ads … | source |
google-ads-api-quickstart |
Guides developers through Google Ads API quickstart: credential setup, choosing from 6 client libraries/REST, configuring environments, and running a "retrieve campaigns" script. Troubleshoots common setup errors: USER_PERMISSION_DENIED, … | source |
google-agents-cli-onboarding |
Onboarding entrypoint for agents-cli in Agent Platform. It should be used when the user wants to "create a new agent", "develop an agent", "build an agent using ADK", "run the agent locally", "debug agent code", "test an agent", "evaluate … | source |
google-cloud-recipe-auth |
Provides expert guidance on authenticating and authorizing to Google Cloud services and APIs, covering human users, service identities, Application Default Credentials (ADC), and best practices for secure access. | source |
google-cloud-recipe-foundation-builder |
Deploys a baseline landing zone foundation for a Google Cloud Organization, establishing security guardrails using Organization Policies, resource hierarchy folders and projects, billing association, and centralized logging and monitoring. … | source |
google-cloud-recipe-onboarding |
Guides a developer's first steps on Google Cloud, covering account creation, billing setup, project management, and deploying a first resource. Use when a new developer wants to initialize their first Google Cloud project, configure … | source |
google-cloud-solution-agentic-ai-bidirectional-streaming |
Guides agents to interactively discover customer requirements for live, bidirectional multi-agent AI systems that process continuous streams of multimodal data for real-time technical guidance and safety monitoring. Generates a custom … | source |
google-cloud-solution-architecture |
Interactively discovers requirements for a specific cloud workload and generates design recommendations and architectural guidance to build a multi-product solution in Google Cloud. Use when users need holistic, end-to-end design … | source |
google-cloud-waf-cost-optimization |
Generates cost optimization guidance for Google Cloud workloads based on the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify cost requirements and constraints, and provide actionable … | source |
google-cloud-waf-operational-excellence |
Generates operations-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Operational Excellence pillar of the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a … | source |
google-cloud-waf-performance-optimization |
Generates performance-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Performance Optimization pillar of the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a … | source |
google-cloud-waf-reliability |
Generates reliability-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Google Cloud Well-Architected Framework. Use this skill to evaluate a workload, identify reliability requirements, … | source |
google-cloud-waf-security |
Generates security-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify security requirements, … | source |
google-cloud-waf-sustainability |
Generates sustainability-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify environmental … | source |
Source: LambdaTest/agent-skills
- Repository: https://github.com/LambdaTest/agent-skills (commit
54824d6, retrieved 2026-07-07) - License: MIT
| Skill | What it adds | Upstream |
|---|---|---|
api-ai-augmented |
Designs AI-powered API features, LLM tool/function definitions, MCP server tool schemas, natural language to API conversion, and agentic API workflows. Use whenever the user asks about "AI calling my API", "function calling schema", "tool … | source |
api-compliance-checker |
Designs GDPR-compliant API patterns, PCI-DSS field handling, SOC2 audit log schemas, HIPAA data endpoints, and regulatory compliance checklists for any API. Use whenever the user asks about GDPR, data privacy, "right to be forgotten", data … | source |
api-designer |
Generates complete, production-ready REST API endpoint specifications for any system or domain the user describes. Use this skill whenever the user asks about API design, API endpoints, REST APIs, API URLs, or says things like "what … | source |
api-documentation |
Generate comprehensive, professional API documentation from API designs, endpoint definitions, OpenAPI/Swagger specs, route lists, or raw endpoint descriptions. Use this skill whenever a user provides API endpoints, route definitions, … | source |
api-graphql-grpc |
Designs GraphQL schemas, resolvers, query/mutation/subscription patterns, and protobuf definitions for gRPC services. Use whenever the user asks about GraphQL, "design a GraphQL schema", "write mutations for", "GraphQL subscriptions", … | source |
api-health-monitoring |
Designs health check endpoints, SLA definitions, alerting rules, observability strategies, and dashboard specs for any API. Use whenever the user asks about API monitoring, health checks, uptime, SLA/SLO/SLI definitions, alerting … | source |
api-inferrer-from-files |
Infer and list REST API endpoints from file names or project directory structures. Use this skill whenever a user shares a list of file names, a folder/project structure, or mentions phrases like "what APIs can I build", "infer endpoints … | source |
api-integration |
Designs event-driven architectures, webhook systems, API chaining flows, ETL pipelines, and integration patterns between services. Use whenever the user asks about webhooks, event streaming, API composition, connecting two or more APIs, … | source |
api-rate-limiting-helper |
Designs rate limiting strategies, quota systems, throttling policies, retry logic, and backoff patterns for APIs. Use whenever the user asks about rate limiting, throttling, quotas, "too many requests", 429 responses, "how do I limit my … | source |
api-security-auth-pattern |
Designs and documents authentication, authorization, and security patterns for any API. Use whenever the user asks about OAuth 2.0, JWT, API keys, RBAC, ABAC, rate limiting for security, CORS, HTTPS enforcement, input validation, OWASP API … | source |
api-versioning-helper |
Advises on API versioning strategies, designs deprecation flows, generates migration guides, and handles breaking vs non-breaking change classification. Use whenever the user asks about API versioning, "how to version my API", "URI vs … | source |
espresso-skill |
Generates Espresso UI tests for Android apps in Kotlin or Java. Espresso runs inside the app process for fast, reliable UI testing. Supports local and TestMu AI cloud real devices. Use when user mentions "Espresso", "onView", … | source |
mstest-skill |
Generates MSTest tests in C#. Microsoft's built-in testing framework for .NET. Use when user mentions "MSTest", "[TestMethod]", "[TestClass]", "Assert.AreEqual". Triggers on: "MSTest", "[TestMethod]", "[TestClass]", "Microsoft test … | source |
newman-cicd-integration |
Generate ready-to-use CI/CD pipeline configurations that install and run Newman for automated API testing. Use this skill whenever the user wants to run Newman in a CI pipeline, integrate Postman collections into automated builds, set up … | source |
nightwatchjs-skill |
Generates NightwatchJS E2E tests in JavaScript. Integrated test runner with Selenium WebDriver, built-in assertions, and page objects. Use when user mentions "Nightwatch", "NightwatchJS", "nightwatch.conf.js". Triggers on: "Nightwatch", … | source |
selenide-skill |
Generates Selenide tests in Java. Concise UI testing framework built on Selenium with automatic waits and fluent API. Use when user mentions "Selenide", "$(selector)", "shouldBe(visible)", "Selenide Java". Triggers on: "Selenide", "$() … | source |
smartui-skill |
Generates SmartUI visual regression test configurations for screenshot comparison on TestMu AI cloud. Framework-agnostic — works with Playwright, Selenium, Cypress, Puppeteer. Use when user mentions "SmartUI", "visual regression", … | source |
testng-skill |
Generates TestNG tests in Java with groups, data providers, parallel execution, XML suite configuration, and listeners. Use when user mentions "TestNG", "@DataProvider", "testng.xml", "groups". Triggers on: "TestNG", "@DataProvider", … | source |
unittest-skill |
Generates Python unittest tests. Built-in testing framework with TestCase, setUp/tearDown, and assertion methods. Use when user mentions "unittest", "TestCase", "self.assertEqual", "Python unittest". Triggers on: "unittest", "TestCase", … | source |
xcuitest-skill |
Generates XCUITest UI tests for iOS/iPadOS apps in Swift. Apple's native testing framework for reliable, fast UI automation. Supports local simulators and TestMu AI cloud real devices. Use when user mentions "XCUITest", "XCTest", "iOS UI … | source |
Source: coreyhaines31/marketingskills
- Repository: https://github.com/coreyhaines31/marketingskills (commit
33218ff, retrieved 2026-07-07) - License: MIT
| Skill | What it adds | Upstream |
|---|---|---|
ab-testing |
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," … | source |
churn-prevention |
When the user wants to reduce churn, build cancellation flows, set up save offers, recover failed payments, or implement retention strategies. Also use when the user mentions 'churn,' 'cancel flow,' 'offboarding,' 'save offer,' 'dunning,' … | source |
community-marketing |
Build and leverage online communities to drive product growth and brand loyalty. Use when the user wants to create a community strategy, grow a Discord or Slack community, manage a forum or subreddit, build brand advocates, increase … | source |
free-tools |
When the user wants to plan, evaluate, or build a free tool for marketing purposes — lead generation, SEO value, or brand awareness. Also use when the user mentions "engineering as marketing," "free tool," "marketing tool," "calculator," … | source |
image |
When the user wants to create, generate, edit, or optimize images for marketing — blog heroes, social graphics, product mockups, profile banners, listing visuals, or brand assets. Also use when the user mentions 'AI image generation,' … | source |
offers |
When the user wants to design, construct, or improve an offer — the thing they actually sell — including value framing, bonus stacking, guarantee design, scarcity/urgency, naming, and payment structure. Also use when the user mentions … | source |
prospecting |
When the user wants to find, qualify, and build a list of prospects to reach out to — across B2B SaaS, general B2B, or local small businesses. Also use when the user mentions "prospecting," "build a prospect list," "find prospects," "find … | source |
site-architecture |
When the user wants to plan, map, or restructure their website's page hierarchy, navigation, URL structure, or internal linking. Also use when the user mentions "sitemap," "site map," "visual sitemap," "site structure," "page hierarchy," … | source |
sms |
When the user wants to plan, build, or optimize SMS or MMS marketing — including welcome flows, abandoned cart texts, post-purchase, win-back, promotional sends, or transactional/auth SMS. Also use when the user mentions "SMS marketing," … | source |
Source: czlonkowski/n8n-skills
- Repository: https://github.com/czlonkowski/n8n-skills (commit
9ea3aa5, retrieved 2026-07-07) - License: MIT
| Skill | What it adds | Upstream |
|---|---|---|
n8n-agents |
Design n8n AI agents the right way. Use when building or editing any @n8n/n8n-nodes-langchain.* AI node — an AI Agent, LLM chain, Text Classifier, or Information Extractor — and whenever the user mentions AI agents, LLM with tools, tool … | source |
n8n-code-tool |
Write JavaScript or Python for the n8n Custom Code Tool (@n8n/n8n-nodes-langchain.toolCode) — the AI-agent-callable tool, NOT the workflow Code node. Use when building a Code Tool attached to an AI Agent, writing code that an LLM will … | source |
n8n-error-handling |
Wire n8n error handling so failures are loud, structured, and recoverable. Use when building any webhook/API workflow, a scheduled or unattended workflow, or any path where a silent failure would drop user-visible work — and whenever the … | source |
n8n-mcp-tools-expert |
Expert guide for using n8n-mcp MCP tools effectively. Use when searching for nodes, validating configurations, accessing templates, managing workflows, managing credentials, auditing instance security, or using any n8n-mcp tool. Provides … | source |
n8n-node-configuration |
Operation-aware node configuration guidance. Use when configuring nodes, understanding property dependencies, determining required fields, choosing between get_node detail levels, or learning common configuration patterns by node type. … | source |
n8n-self-hosting |
Deploy a production self-hosted n8n end-to-end to a fresh Linux VM over SSH, using Docker Compose behind a Caddy reverse proxy with automatic HTTPS. Use whenever the user wants to self-host, install, set up, provision, or deploy n8n on … | source |
n8n-subworkflows |
Build reusable, composable n8n sub-workflows. Use when extracting shared logic, building anything multi-step or reused across workflows, or any workflow over ~10 nodes — and whenever the user mentions sub-workflows, Execute Workflow, … | source |
n8n-validation-expert |
Interpret validation errors and guide fixing them. Use when encountering validation errors, validation warnings, false positives, operator structure issues, or need help understanding validation results. Also use when asking about … | source |
n8n-workflow-patterns |
Proven workflow architectural patterns from real n8n workflows. Use when building new workflows, designing workflow structure, choosing workflow patterns, planning workflow architecture, or asking about webhook processing, HTTP API … | source |
using-n8n-mcp-skills |
Use when building, editing, validating, testing, or debugging an n8n workflow through the n8n-mcp MCP server — designing a flow, configuring a node, writing an expression or Code node, wiring credentials, or fixing one that misbehaves. The … | source |
Source: NVIDIA/skills
- Repository: https://github.com/NVIDIA/skills (commit
153b14b, retrieved 2026-07-07) - License: CC-BY-4.0 (skills/docs), Apache-2.0 (code)
| Skill | What it adds | Upstream |
|---|---|---|
accelerated-computing-cudf |
Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads. | source |
amc-setup-calibration-stack |
Launch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose. Use when user says 'deploy auto calibration', 'launch auto calibration', 'launch AMC', 'start MS+UI', or 'set up auto-magic-calib'. Requires NGC API … | source |
cudaq-guide |
CUDA-Q onboarding guide for installation, test programs, GPU simulation, QPU hardware, and quantum applications. | source |
cufolio |
Use when a user asks to build, optimize, backtest, rebalance, or analyze a stock portfolio with Mean-CVaR, efficient frontiers, scenario generation, or NVIDIA cuOpt. | source |
cuopt-developer |
Modify, build, test, debug, and contribute to NVIDIA cuOpt (C++/CUDA, Python, server, CI). Use for solver internals, PRs, DCO, and code conventions. | source |
cuopt-install |
Install cuOpt for Python, C, or server via pip, conda, or Docker; verify the install. For building cuOpt from source, see cuopt-developer. | source |
cuopt-routing-api-python |
Vehicle routing (VRP, TSP, PDP) with cuOpt — Python API only. Use when the user is building or solving routing in Python. | source |
cupynumeric-install |
Install and verify cuPyNumeric for Python — requirements, commands, verification. Source builds are out of scope. | source |
data-designer |
Use when the user wants to create a dataset, generate synthetic data, or build a data generation pipeline. | source |
deepstream-dev |
NVIDIA DeepStream SDK 9.0 development with Python pyservicemaker API. Use when building video analytics pipelines, GStreamer-based video processing, TensorRT inference integration, object detection/tracking, or Kafka/message broker … | source |
deepstream-generate-pipeline |
Build DeepStream GStreamer pipelines interactively. Use when the user asks about pipelines for video/image inference, detection, tracking, or streaming — including natural phrases like 'pipeline to infer on image', 'run inference on … | source |
deepstream-import-vision-model |
Use this skill to bring any vision model from HuggingFace or NVIDIA NGC into an NVIDIA DeepStream pipeline with end-to-end automation: ONNX download, SafeTensors export, TRT engine build, custom nvinfer bbox parser, multi-stream benchmark, … | source |
deepstream-sop |
Use this skill when building, deploying, evaluating, debugging, or measuring latency for the DeepStream SOP Inference Microservice — a GPU-accelerated FastAPI service that detects whether operators perform assembly-line steps in order via … | source |
digital-health-clinical-asr-build |
Stage 2 of the Clinical ASR Flywheel. Use when curating clinical terms, tagging IPA, and synthesizing a NeMo manifest. NOT for scoring (use /digital-health-clinical-asr-eval). | source |
earth2studio-deterministic-forecast |
Build deterministic forecast scripts with Earth2Studio (model, data source, IO, inference). Do NOT use for ensemble, diagnostics, data-only fetch, or install. | source |
earth2studio-install |
Guide installing Earth2Studio via uv or pip, selecting model extras, and configuring the environment. Do NOT use for writing inference code, choosing models, or PhysicsNeMo questions. | source |
holoscan-install-source |
Build Holoscan SDK from source via the in-tree ./run script. Use only when published packages don't meet the user's needs. | source |
holoscan-setup |
Guides Holoscan SDK installation: inspects the host, assesses platform compatibility, recommends an install method, and delegates to the matching install skill. | source |
hsb-setup |
Clone the latest NVIDIA Holoscan Sensor Bridge repo, ask which supported devkit is being used, configure the host per platform, build the correct demo container, run it, and verify HSB connectivity by pinging 192.168.0.2. Use for Holoscan … | source |
jetson-build-source |
Use when you need to rebuild the BSP overlay — DT, OOT modules, or kernel — from changes under bsp_sources/. Triggers: build bsp, rebuild dtb, rebuild kernel. | source |
jetson-customize-pinmux |
Per-pin SFIO / direction / initial-state configurator for a Jetson Orin or Thor custom carrier from the pinmux XLSM. Do NOT use for kernel-DT overlay or ODMDATA edits. | source |
jetson-customize-uphy |
Configure Jetson UPHY lane allocation (uphy0/uphy1-config) on Orin/Thor custom carriers. Do NOT use for pinmux or PCIe-only edits. | source |
jetson-download-bsp |
Download NVIDIA Jetson Linux BSP artifacts (BSP tarball, sample rootfs, public_sources, x-tools, guides) for the active target. Use for Auto Setup; not for extraction or profile edits. | source |
jetson-generate-kb |
Build a per-target knowledge-base markdown next to the active profile by walking the BSP root and source tree. Use after init-image / init-source; not for editing profile fields. | source |
jetson-headless-mode |
Plan and apply safe Jetson headless-mode changes to reclaim GUI and daemon memory. | source |
jetson-init-image |
Extract Jetson Linux + sample-rootfs tarballs and run apply_binaries.sh for the active target, then record bsp_image in the profile. Use after jetson-init-target; not for source-tree setup. | source |
jetson-init-source |
Set up the BSP source workspace: Linux_for_Tegra overlay tracker, bsp_sources, Crosstool-NG toolchain. Use after jetson-init-image; not for fetching inputs. | source |
jetson-link-docs |
Bind pre-downloaded Jetson reference docs (developer guide, design guide, pinmux, schematics) into the active profile documents block. Use after staging docs on disk; not for downloading. | source |
jetson-print-bsp-info |
Use when you need to print Jetson BSP info (L4T version, board configs, rootfs state) from a Linux_for_Tegra root on the host PC. This is an example skill. | source |
jetson-promote-image |
Use to promote overlay files and built artifacts into the staged BSP image. Do NOT use to flash or build. Triggers: promote bsp image. | source |
jetson-quick-start |
Entry skill for Jetson / IGX BSP customization. Asks one core click-to-select setup questionnaire and passes prefilled answers to downstream setup skills. | source |
jetson-set-target |
Switch the active Jetson target-platform pointer to an existing profile YAML. Use before customize/build/flash to change target; not for authoring profiles — use jetson-init-target instead. | source |
jetson-validate-image |
Use after jetson-flash-image to run static BSP checks, on-target smoke/regression tests on a flashed DUT, or both. Not for build or flash steps. Triggers: validate bsp, on-target validation. | source |
mcore-split-pr |
Split a PR into multiple PRs to reduce the number of required CODEOWNERS reviewer groups. | source |
nemo-automodel-distributed-training |
Guide for selecting and configuring distributed training strategies in NeMo AutoModel, including FSDP2, Megatron FSDP, DDP, and parallelism settings. | source |
nemo-automodel-model-onboarding |
Guide for onboarding new model architectures into NeMo AutoModel, including architecture discovery, implementation patterns, registration, and validation. | source |
nemo-automodel-recipe-development |
Create and modify NeMo AutoModel training and evaluation recipes, including YAML structure, builders, and execution flow. | source |
nemo-data-designer-plugin |
Use when the user wants to create a dataset, generate synthetic data, or build a data generation pipeline. | source |
nemo-mbridge-perf-hierarchical-context-parallel |
Operational guide for enabling hierarchical context parallelism in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification. | source |
nemo-mbridge-perf-megatron-fsdp |
Operational guide for enabling Megatron FSDP in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification. | source |
nemo-mbridge-perf-moe-long-context |
Long-context MoE training guidance for Megatron Bridge. Covers CP sizing, selective recompute, dispatcher choices, and practical patterns from DSV3, Qwen3, and Qwen3-Next long-context experiments. | source |
nemo-mbridge-perf-moe-vlm-training |
Practical guidance for training MoE VLMs in Megatron Bridge. Compares FSDP and 3D-parallel approaches, using rounded lessons from Qwen3-VL, Qwen3-Next, and other multimodal experiments. | source |
nemo-mbridge-perf-parallelism-strategies |
Operational guide for choosing and combining parallelism strategies in Megatron Bridge, including sizing rules, hardware topology mapping, and combined parallelism configuration. | source |
nemo-mbridge-perf-sequence-packing |
Validate and use packed sequences and long-context training in Megatron-Bridge, distinguishing offline packed SFT for LLMs from in-batch packing for VLMs, and applying the right CP constraints. | source |
nemo-mbridge-perf-tp-dp-comm-overlap |
Operational guide for enabling TP, DP, and PP communication overlap in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification. | source |
nemo-rl-auto-research |
Autonomous NeMo-RL research agent workflow for directed hypothesis testing and open-ended discovery. Guides agents through the full experiment lifecycle: understanding recipes and environments, wiring RL or NeMo-gym runs, launching … | source |
nemo-rl-brev-etiquette |
Brev instance operating guidance for NeMo-RL agents working in /home/ubuntu/RL with limited workspace disk, a larger /ephemeral volume, and optional /home/ubuntu/RL/.env secrets. Use when running nemo-rl-auto-research campaigns, … | source |
nemoclaw-user-guide |
Guides human users' AI agents to the NemoClaw docs MCP server and canonical Fern documentation in Markdown form. Use when users ask how to install, configure, operate, troubleshoot, secure, or learn NemoClaw with an AI coding assistant. … | source |
nemotron-speech |
Routes NVIDIA Nemotron Speech (Riva) NIM tasks — deploys, runs, and tests ASR, TTS, and NMT NIMs on build.nvidia.com or self-hosted. | source |
omniverse-cad-to-simready |
Coordinate the end-to-end CAD/source-asset to SimReady workflow. Use for broad requests such as CAD to SimReady, source asset to simulation-ready USD, or prop packaging that require conversion, material/physics assignment, SimReady … | source |
physical-ai-defect-image-generation |
Use when the user wants to orchestrate defect image generation with NVIDIA Cosmos AnomalyGen (Cosmos-Predict2-derived) on OSMO for PCBA, metal surface, and glass inspection. The Day 0 path handles cold-start with USD-to-ROI, image-edit … | source |
physicsnemo-discover |
Official NVIDIA-authored guidance for navigating PhysicsNeMo — pick the model, datapipe, or example for a SciML/AI4Science task (surrogates, forecasting, downscaling, physics-informed, inverse, generative). Points at existing files via … | source |
tao-analyze-changenet-rca |
Performs deep Root Cause Analysis (RCA) on NVIDIA TAO Visual ChangeNet classification experiments with image-evidence-driven investigation. Use when analyzing ChangeNet model failures, investigating poor recall / FAR / PASS-NO_PASS … | source |
tao-analyze-gaps-visual-changenet |
Performs gap analysis on NVIDIA TAO VCN Classify (Visual Component Net) experiments by invoking the data-services container (tao_toolkit.data_services from versions.yaml) directly via docker run … gap_analysis vcn_aoi … — picks the … |
source |
tao-route-visual-changenet-samples |
Routes the weakest VCN samples (output of tao-analyze-gaps-visual-changenet) into per-augmentation-module subsets based on each module's label eligibility. Use when the user asks to "route VCN gap samples", "split AOI gaps for k-NN … |
source |
tao-run-deft-aoi |
Run the full DEFT AOI improvement loop for NVIDIA TAO VisualChangeNet / ChangeNet PCB inspection models: baseline evaluate, RCA, Cosmos AnomalyGen / AMP synthetic defects, k-NN mining, retraining, and deployment gating until FAR / recall … | source |
tao-train-grounding-dino |
Grounding DINO for open-set object detection. Combines DINO-style detection with a BERT text encoder for language-guided detection — detects objects described by text prompts without a fixed class vocabulary. Use when training, evaluating, … | source |
tao-train-mask-auto-encoder |
Masked Auto-Encoder (MAE) for self-supervised pretraining and fine-tuning. Masks random patches and reconstructs them to learn visual representations; supports pretrain and finetune stages. Use when training, evaluating, exporting, or … | source |
tao-train-mask-grounding-dino |
Mask Grounding DINO for grounded instance segmentation. Extends Grounding DINO with a mask-prediction head for open-set segmentation guided by text prompts. Use when training, evaluating, exporting, quantizing, or running inference for a … | source |
tao-train-metric-learning-recognition |
Metric-learning recognition (ml-recog) for fine-grained visual recognition. Learns embeddings for retrieval-based matching (e.g., retail product recognition) using triplet / contrastive losses. Use when training, evaluating, exporting, or … | source |
tao-train-nvdinov2 |
NVDINOv2 for self-supervised visual representation learning. Trains vision transformers via self-distillation (teacher-student) without labels and produces general-purpose visual features. Use when training, exporting, or running inference … | source |
tao-train-nvpanoptix3d |
NVPanoptix3D for panoptic 3D scene reconstruction from posed RGB images. Produces 3D panoptic segmentation (semantic, instance, and panoptic masks) with occupancy completion. Built on a VGGT backbone with a Mask2Former-style head and 3D … | source |
tao-train-rtdetr |
RT-DETR (Real-Time DEtection TRansformer) for 2D object detection. Designed for real-time inference with competitive accuracy and supports distillation and quantization for deployment optimization. Use when training, evaluating, … | source |
tao-train-visual-changenet |
Visual ChangeNet for binary image classification and segmentation in AOI defect detection. Use when training, evaluating, exporting, or running inference for PCB defect detection or visual inspection, comparing image pairs for PASS/NO_PASS … | source |
tilegym-converting-cutile-to-julia |
Converts cuTile Python GPU kernels (@ct.kernel) to cuTile.jl Julia equivalents. Handles kernel syntax translation, 0-indexed to 1-indexed conversion, broadcasting differences, memory layout (row-major to column-major), type system mapping, … | source |
vss-ask-video |
Use this skill to ask the VSS agent's video_understanding tool a fresh visual question about a recorded clip. Not for prior tool output, search hits, or metadata-answerable questions. | source |
vss-deploy-video-embedding |
Use this skill when deploying, operating, or integrating the VSS 3.2 GA RT-Embed Video Embedding microservice. Covers Docker Compose bring-up, GPU and storage prerequisites, the /v1 REST API (file uploads, text and video embeddings, live … |
source |
vss-search-archive |
Use this skill to run top-level VSS fusion search on archived video, or to ingest video files / RTSP streams for search. Do NOT use for ad-hoc visual Q&A (use vss-ask-video), live captioning (use vss-deploy-dense-captioning), or video … | source |
Source: phuryn/pm-skills
- Repository: https://github.com/phuryn/pm-skills (commit
18468a9, retrieved 2026-07-07) - License: MIT
| Skill | What it adds | Upstream |
|---|---|---|
brainstorm-experiments-existing |
Design experiments to test assumptions for an existing product — prototypes, A/B tests, spikes, and other low-effort validation methods. Use when validating assumptions, testing feature ideas cheaply, or planning product experiments. | source |
brainstorm-experiments-new |
Design lean startup experiments (pretotypes) for a new product. Creates XYZ hypotheses and suggests low-effort validation methods like landing pages, explainer videos, and pre-orders. Use when validating a new product idea, creating … | source |
brainstorm-ideas-existing |
Brainstorm product ideas for an existing product using multi-perspective ideation from PM, Designer, and Engineer viewpoints. Use when generating new feature ideas, brainstorming solutions for an identified opportunity, or ideating with a … | source |
brainstorm-ideas-new |
Brainstorm feature ideas for a new product in initial discovery from PM, Designer, and Engineer perspectives. Use when starting product discovery for a new product, exploring features for a startup idea, or doing initial ideation. | source |
business-model |
Generate a Business Model Canvas with all 9 building blocks. Use when creating a business model, documenting how a business creates value, or analyzing an existing business model. | source |
create-prd |
Create a Product Requirements Document using a comprehensive 8-section template covering problem, objectives, segments, value propositions, solution, and release planning. Use when writing a PRD, documenting product requirements, preparing … | source |
customer-journey-map |
Create an end-to-end customer journey map with stages, touchpoints, emotions, pain points, and opportunities. Use when mapping the customer experience, identifying friction points, improving onboarding, or visualizing the user journey. | source |
dummy-dataset |
Generate realistic dummy datasets for testing with customizable columns, constraints, and output formats (CSV, JSON, SQL, Python script). Use when creating test data, building mock datasets, or generating sample data for development and … | source |
growth-loops |
Identify growth loops (flywheels) for sustainable traction. Evaluates 5 loop types: Viral, Usage, Collaboration, User-Generated, and Referral. Use when designing growth mechanisms, building product-led traction, or understanding how growth … | source |
metrics-dashboard |
Define and design a product metrics dashboard with key metrics, data sources, visualization types, and alert thresholds. Use when creating a metrics dashboard, defining KPIs, setting up product analytics, or building a data monitoring plan. | source |
opportunity-solution-tree |
Build an Opportunity Solution Tree (OST) to structure product discovery — map a desired outcome to opportunities, solutions, and experiments. Based on Teresa Torres' Continuous Discovery Habits. Use when structuring discovery work, mapping … | source |
pricing-strategy |
Analyze and design pricing strategies including pricing models, competitive pricing analysis, willingness-to-pay estimation, and price elasticity. Use when setting prices, evaluating pricing models, preparing for a pricing change, or … | source |
prioritization-frameworks |
Reference guide to 9 prioritization frameworks with formulas, when-to-use guidance, and templates — RICE, ICE, Kano, MoSCoW, Opportunity Score, and more. Use when selecting a prioritization method, comparing frameworks like RICE vs ICE, or … | source |
product-strategy |
Create a comprehensive product strategy using the 9-section Product Strategy Canvas — vision, segments, costs, value propositions, trade-offs, metrics, growth, capabilities, and defensibility. Use when building a product strategy, creating … | source |
shipping-artifacts |
The durable documentation set that makes an AI-built (vibe-coded) app reviewable before shipping. A small core every app needs — architecture, user/permission flows, permissions, variables/secrets, and a test-coverage map — plus … | source |
sql-queries |
Generate SQL queries from natural language descriptions. Supports BigQuery, PostgreSQL, MySQL, and other dialects. Reads database schemas from uploaded diagrams or documentation. Use when writing SQL, building data reports, exploring … | source |
stakeholder-map |
Build a stakeholder map using a power/interest grid, identify communication strategies per quadrant, and generate a communication plan. Use when managing stakeholders, preparing for a launch, aligning cross-functional teams, or planning … | source |
user-personas |
Create refined user personas from research data — 3 personas with JTBD, pains, gains, and unexpected insights. Use when building personas from survey data, creating user profiles from research, or segmenting users for product decisions. | source |
user-segmentation |
Segment users from feedback data based on behavior, JTBD, and needs. Identifies at least 3 distinct user segments. Use when segmenting a user base, analyzing diverse user feedback, or building a segmentation model. | source |
user-stories |
Create user stories following the 3 C's (Card, Conversation, Confirmation) and INVEST criteria with descriptions, design links, and acceptance criteria. Use when writing user stories, breaking down features into backlog items, or defining … | source |
value-proposition |
Design a detailed value proposition using a 6-part JTBD template — Who, Why, What before, How, What after, Alternatives. Use when creating a value proposition, analyzing customer value delivery, or articulating why customers should choose … | source |
Source: deanpeters/Product-Manager-Skills
- Repository: https://github.com/deanpeters/Product-Manager-Skills (commit
99be43c, retrieved 2026-07-07) - License: CC BY-NC-SA 4.0 (referenced by link, nothing copied)
| Skill | What it adds | Upstream |
|---|---|---|
acquisition-channel-advisor |
Evaluate acquisition channels using unit economics, customer quality, and scalability. Use when deciding whether to scale, test, or kill a growth channel. | source |
agent-orchestration-advisor |
Design multi-agent AI workflows with clear boundaries, handoffs, and monitoring. Use when a complex PM task should run as parallel specialized agents instead of one linear process. | source |
ai-shaped-readiness-advisor |
Assess whether your product work is AI-first or AI-shaped. Use when evaluating AI maturity and choosing the next team capability to build. | source |
director-readiness-advisor |
Guide the PM-to-Director transition across preparing, interviewing, landing, and recalibrating. Use when leadership scope is changing and you need practical coaching. | source |
finance-metrics-quickref |
Look up SaaS finance metrics, formulas, and benchmarks fast. Use when you need a quick metric definition, formula, or benchmark during analysis. | source |
lean-ux-canvas |
Guide teams through Lean UX Canvas v2. Use when framing a business problem, surfacing assumptions, and defining what to learn next. | source |
opportunity-solution-tree |
Build an Opportunity Solution Tree from outcomes to opportunities, solutions, and tests. Use when a stakeholder request needs problem framing before you decide what to build. | source |
pm-skill-creator |
Design a new PM skill through guided conversation. Use when you have raw content or an idea and want to shape it into a compliant skill. | source |
pol-probe |
Define a Proof of Life probe to test a risky hypothesis cheaply. Use when you need harsh truth before building real product. | source |
prd-development |
Build a structured PRD that connects problem, users, solution, and success criteria. Use when turning discovery notes into an engineering-ready document for a major initiative. | source |
press-release |
Write an Amazon-style press release that defines customer value before building. Use when aligning stakeholders on a new product, feature, or strategic bet. | source |
problem-framing-canvas |
Guide teams through MITRE's Problem Framing Canvas. Use when you need a clearer problem statement before jumping to solutions. | source |
product-sense-interview-answer |
Structure a spoken PM product-sense answer with assumptions, segmentation, pain-point prioritization, and MVP tradeoffs. Use when practicing design, improve, or build-next interview questions. | source |
stakeholder-identification |
Map every stakeholder before engaging anyone. Use when launching an initiative, scoping discovery, or building an engagement plan from scratch. | source |
vp-cpo-readiness-advisor |
Guide the transition to VP or CPO across preparing, interviewing, landing, and recalibrating. Use when executive product scope is changing fast. | source |
Source: resend/resend-skills
- Repository: https://github.com/resend/resend-skills (commit
2caefff, retrieved 2026-07-07) - License: MIT
| Skill | What it adds | Upstream |
|---|---|---|
agent-email-inbox |
Use when building any system where email content triggers actions — AI agent inboxes, automated support handlers, email-to-task pipelines, or any workflow processing untrusted inbound email. Always use this skill when the user wants to … | source |
email-best-practices |
Use when building email features, emails going to spam, high bounce rates, setting up SPF/DKIM/DMARC authentication, implementing email capture, ensuring compliance (CAN-SPAM, GDPR, CASL), handling webhooks, retry logic, making emails … | source |
react-email |
Use when building HTML email templates with React components, adding a visual email editor to an application using the React Email visual editor, rendering emails to HTML, or sending emails with Resend. Covers welcome emails, password … | source |
Source: veniceai/skills
- Repository: https://github.com/veniceai/skills (commit
de089fa, retrieved 2026-07-07) - License: MIT
| Skill | What it adds | Upstream |
|---|---|---|
venice-errors |
Handle Venice API errors correctly. Covers the StandardError / DetailedError / ContentViolationError / X402InferencePaymentRequired body shapes, every meaningful status code (400, 401, 402, 403, 415, 422, 429, 500, 503, 504), the 402 … | source |