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skillfactor-pipeline/skills/business-analyst/references/ai-skills.md
skillfactor-pipeline af05383bb1 chore: v1 baseline - full 3,039-package catalog with AI-skill enrichment and O*NET backfill 
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
2026-07-09 05:32:49 +02:00

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# External AI agent skills — business-analyst
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](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 |
|---|---|---|
| `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](https://github.com/anthropics/skills/tree/main/skills/docx) |
| `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](https://github.com/anthropics/skills/tree/main/skills/pdf) |
| `pptx` | Use this skill any time a .pptx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx file (even if the extracted … | [source](https://github.com/anthropics/skills/tree/main/skills/pptx) |
| `xlsx` | Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, … | [source](https://github.com/anthropics/skills/tree/main/skills/xlsx) |
## Source: wshobson/agents
- Repository: [https://github.com/wshobson/agents](https://github.com/wshobson/agents) (commit `6fd3247`, retrieved 2026-07-07)
- License: MIT (c) Seth Hobson
| Skill | What it adds | Upstream |
|---|---|---|
| `competitive-landscape` | Analyze competition, identify differentiation opportunities, and develop winning market positioning strategies using Porter's Five Forces, Blue Ocean Strategy, and positioning maps. Use this skill when evaluating competitors, assessing … | [source](https://github.com/wshobson/agents/tree/main/plugins/startup-business-analyst/skills/competitive-landscape) |
| `data-storytelling` | Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations. | [source](https://github.com/wshobson/agents/tree/main/plugins/business-analytics/skills/data-storytelling) |
| `kpi-dashboard-design` | Design effective KPI dashboards with metrics selection, visualization best practices, and real-time monitoring patterns. Use this skill when building an executive SaaS metrics dashboard tracking MRR, churn, and LTV/CAC ratios; designing an … | [source](https://github.com/wshobson/agents/tree/main/plugins/business-analytics/skills/kpi-dashboard-design) |
| `market-sizing-analysis` | Calculate TAM/SAM/SOM for market opportunities using top-down, bottom-up, and value theory methodologies. Use this skill when sizing markets, estimating addressable revenue, validating market opportunity for a new venture, or building … | [source](https://github.com/wshobson/agents/tree/main/plugins/startup-business-analyst/skills/market-sizing-analysis) |
| `startup-financial-modeling` | Build comprehensive 3-5 year financial models with revenue projections, cost structures, cash flow analysis, and scenario planning for early-stage startups. Use this skill when creating financial projections, calculating burn rate or … | [source](https://github.com/wshobson/agents/tree/main/plugins/startup-business-analyst/skills/startup-financial-modeling) |
| `startup-metrics-framework` | Track, calculate, and optimize key performance metrics for SaaS, marketplace, consumer, and B2B startups from seed through Series A, including unit economics, growth efficiency, and cash management. Use this skill when defining a metrics … | [source](https://github.com/wshobson/agents/tree/main/plugins/startup-business-analyst/skills/startup-metrics-framework) |
| `team-composition-analysis` | Design optimal team structures, hiring plans, compensation strategies, and equity allocation for early-stage startups from pre-seed through Series A. Use this skill when planning headcount, determining which roles to hire next, setting … | [source](https://github.com/wshobson/agents/tree/main/plugins/startup-business-analyst/skills/team-composition-analysis) |
## Source: cypress-io/ai-toolkit
- Repository: [https://github.com/cypress-io/ai-toolkit](https://github.com/cypress-io/ai-toolkit) (commit `9c9038e`, retrieved 2026-07-07)
- License: MIT
| Skill | What it adds | Upstream |
|---|---|---|
| `cypress-docs` | Search and extract Cypress information from official documentation (docs.cypress.io, cypress.io); prefer LLM markdown under /llm/* and refuse unverified API or behavior claims. | [source](https://github.com/cypress-io/ai-toolkit/tree/9c9038e/skills/cypress-docs) |
## Source: ConardLi/garden-skills
- Repository: [https://github.com/ConardLi/garden-skills](https://github.com/ConardLi/garden-skills) (commit `fbd6453`, retrieved 2026-07-07)
- License: MIT
| Skill | What it adds | Upstream |
|---|---|---|
| `kb-retriever` | 面向本地知识库目录的检索和问答助手。核心流程：(1)分层索引导航 (2)遇到PDF/Excel时必须先读取references学习处理方法 (3)处理文件后再检索。按文件类型组合使用 grep、Read、pdfplumber、pandas 进行渐进式检索，避免整文件加载。用户问题涉及"从知识库目录回答问题/检索信息/查资料"时使用。 | [source](https://github.com/ConardLi/garden-skills/tree/fbd6453/skills/kb-retriever) |
| `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](https://github.com/ConardLi/garden-skills/tree/fbd6453/skills/web-design-engineer) |
## Source: google/skills
- Repository: [https://github.com/google/skills](https://github.com/google/skills) (commit `b15f327`, retrieved 2026-07-07)
- License: Apache-2.0
| Skill | What it adds | Upstream |
|---|---|---|
| `agent-platform-alert-configuration` | Configures best-practice alerting policies for Google Cloud Vertex AI / Agent Platform agents on Agent Runtime. Use when analyzing, writing, or deploying alerting policies to monitor agent latency, error rates, and quality metrics … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/agent-platform-alert-configuration) |
| `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](https://github.com/google/skills/tree/b15f327/skills/cloud/agent-platform-eval-flywheel) |
| `agent-platform-prompt-management` | Manages and orchestrates prompts in Agent Platform. Use when you need to create, list, retrieve, version, or delete managed prompts in Agent Platform. Don't use for model training, model deployment to endpoints, or managing non-Agent … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/agent-platform-prompt-management) |
| `agent-platform-rag-engine-management` | Manage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK. Use when listing RAG corpora or files, inspecting a corpus, retrieving contexts, or generating content grounded in a RAG corpus. … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/agent-platform-rag-engine-management) |
| `agent-platform-skill-registry` | Interact with the Gemini Enterprise Agent Platform Skill Registry to create and search for available skills. Use this skill to enable agents to register functionality or discover new capabilities. | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/agent-platform-skill-registry) |
| `alloydb-basics` | Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB model context protocol (MCP) tools for automated database operations. | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/alloydb-basics) |
| `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](https://github.com/google/skills/tree/b15f327/skills/cloud/bigquery-ai-ml) |
| `bigquery-basics` | Manages datasets, tables, and jobs in BigQuery. Use when you need to interact with BigQuery, run SQL queries, manage BigQuery resources (datasets, tables, views), or perform basic data ingestion and analysis. | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/bigquery-basics) |
| `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](https://github.com/google/skills/tree/b15f327/skills/cloud/bigtable-basics) |
| `cloud-sql-basics` | This file generates or explains Cloud SQL resources. Use this file when the user asks to create a Cloud SQL instance or database for MySQL, PostgreSQL, or SQL Server. Cloud SQL manages third-party MySQL, PostgreSQL, and SQL Server … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/cloud-sql-basics) |
| `datalineage-bigquery-asset-impact-analysis` | Analyzes the downstream impact (blast radius) when a BigQuery table or view is broken, stale, or modified. Identifies all downstream tables, dashboards, and processes that will be affected. Use when: - Performing a blast radius or impact … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/datalineage-bigquery-asset-impact-analysis) |
| `gke-observability` | Configures GKE observability, including Cloud Logging, Cloud Monitoring, and managed Prometheus. Use when configuring GKE monitoring, setting up GKE logging, or configuring Prometheus metrics collection. Don't use to configure local … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/gke-observability) |
| `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](https://github.com/google/skills/tree/b15f327/skills/ads/google-ads-api/google-ads-api-quickstart) |
| `google-analytics-admin-api-basics` | Manages Google Analytics account and property settings, enables the Analytics Admin API via the Cloud CLI, lists accounts and properties, and manages data streams, custom dimensions, conversion events, and integrations. Use when you need … | [source](https://github.com/google/skills/tree/b15f327/skills/analytics/google-analytics-admin-api-basics) |
| `google-analytics-data-api-basics` | Manages Google Analytics reporting data, enables the Analytics Data API via the Cloud CLI, and creates reports using the Google Analytics Data API (v1beta). Use when you need to interact with Google Analytics properties, run customized … | [source](https://github.com/google/skills/tree/b15f327/skills/analytics/google-analytics-data-api-basics) |
| `google-cloud-networking-observability` | Investigates Google Cloud networking issues by analyzing logs, metrics, and diagnostics. Use when investigating VPC Flow Logs (including cost estimation), NAT, firewall, or threat logs, querying latency and throughput metrics, or running … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/google-cloud-networking-observability) |
| `iam-recommendations-fetcher` | Fetches raw IAM recommendations and associated security insights from Google Cloud for a specified target scope (Organization, Folder, or Project). Use when you need to retrieve security recommendations before analyzing or applying them. … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/iam-recommendations-fetcher) |
## Source: LambdaTest/agent-skills
- Repository: [https://github.com/LambdaTest/agent-skills](https://github.com/LambdaTest/agent-skills) (commit `54824d6`, retrieved 2026-07-07)
- License: MIT
| Skill | What it adds | Upstream |
|---|---|---|
| `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](https://github.com/LambdaTest/agent-skills/tree/54824d6/api-skill/api-health-monitoring) |
| `serenity-bdd-skill` | Generates Serenity BDD tests in Java with Screenplay pattern, rich reporting, and Cucumber integration. Use when user mentions "Serenity", "Screenplay", "@Steps", "Serenity BDD". Triggers on: "Serenity BDD", "Screenplay pattern", "@Steps", … | [source](https://github.com/LambdaTest/agent-skills/tree/54824d6/serenity-bdd-skill) |
## Source: coreyhaines31/marketingskills
- Repository: [https://github.com/coreyhaines31/marketingskills](https://github.com/coreyhaines31/marketingskills) (commit `33218ff`, retrieved 2026-07-07)
- License: MIT
| Skill | What it adds | Upstream |
|---|---|---|
| `ai-seo` | When the user wants to optimize content for AI search engines, get cited by LLMs, or appear in AI-generated answers. Also use when the user mentions 'AI SEO,' 'AEO,' 'GEO,' 'LLMO,' 'answer engine optimization,' 'generative engine … | [source](https://github.com/coreyhaines31/marketingskills/tree/33218ff/skills/ai-seo) |
| `analytics` | When the user wants to set up, improve, or audit analytics tracking and measurement. Also use when the user mentions "set up tracking," "GA4," "Google Analytics," "conversion tracking," "event tracking," "UTM parameters," "tag manager," … | [source](https://github.com/coreyhaines31/marketingskills/tree/33218ff/skills/analytics) |
| `competitor-profiling` | When the user wants to research, profile, or analyze competitors from their URLs. Also use when the user mentions 'competitor profile,' 'competitor research,' 'competitor analysis,' 'profile this competitor,' 'analyze competitor,' … | [source](https://github.com/coreyhaines31/marketingskills/tree/33218ff/skills/competitor-profiling) |
| `customer-research` | When the user wants to conduct, analyze, or synthesize customer research. Use when the user mentions "customer research," "ICP research," "talk to customers," "analyze transcripts," "customer interviews," "survey analysis," "support ticket … | [source](https://github.com/coreyhaines31/marketingskills/tree/33218ff/skills/customer-research) |
| `pricing` | When the user wants help with pricing decisions, packaging, or monetization strategy. Also use when the user mentions 'pricing,' 'pricing tiers,' 'freemium,' 'free trial,' 'packaging,' 'price increase,' 'value metric,' 'Van Westendorp,' … | [source](https://github.com/coreyhaines31/marketingskills/tree/33218ff/skills/pricing) |
| `revops` | When the user wants help with revenue operations, lead lifecycle management, or marketing-to-sales handoff processes. Also use when the user mentions 'RevOps,' 'revenue operations,' 'lead scoring,' 'lead routing,' 'MQL,' 'SQL,' 'pipeline … | [source](https://github.com/coreyhaines31/marketingskills/tree/33218ff/skills/revops) |
## Source: czlonkowski/n8n-skills
- Repository: [https://github.com/czlonkowski/n8n-skills](https://github.com/czlonkowski/n8n-skills) (commit `9ea3aa5`, retrieved 2026-07-07)
- License: MIT
| Skill | What it adds | Upstream |
|---|---|---|
| `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](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/n8n-mcp-tools-expert) |
## Source: NVIDIA/skills
- Repository: [https://github.com/NVIDIA/skills](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 |
|---|---|---|
| `aiq-research` | Use when asked to run deep research or AI-Q research through a reachable NVIDIA AI-Q Blueprint backend. | [source](https://github.com/NVIDIA/skills/tree/153b14b/plugins/nvidia-skills/skills/aiq-research) |
| `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](https://github.com/NVIDIA/skills/tree/153b14b/skills/deepstream-dev) |
| `nemo-evaluator-plugin` | Use when working on the Evaluator plugin CLI, jobs, SDK-backed specs, metric types, or plugin-owned Evaluator skills. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/nemo-evaluator-plugin) |
| `nemo-retriever` | Use when the user wants to search, query, extract, transcribe, describe, quote, filter, or aggregate across documents — PDFs, scanned forms / images (`.jpg` `.png` `.tiff`), Office (`.docx` `.pptx`), text (`.html` `.txt`), audio (`.mp3` … | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/nemo-retriever) |
| `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](https://github.com/NVIDIA/skills/tree/153b14b/skills/nemo-rl-auto-research) |
| `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](https://github.com/NVIDIA/skills/tree/153b14b/skills/nemo-rl-brev-etiquette) |
| `nemotron-retrieval-recipes` | Use when planning, debugging, tuning, evaluating, exporting, or deploying public Nemotron `embed`/`rerank` retrieval recipes. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/nemotron-retrieval-recipes) |
| `nv-reason-cxr` | Used for command-shape or live NV-Reason-CXR chest X-ray reasoning smoke tests. Not for diagnosis or clinical reporting. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/nv-reason-cxr) |
| `physical-ai-people-attribute-search` | Use when running people attribute search (PAS) image augmentation and auto-labeling workflows on OSMO: flow selection, preflight, submit-time interpolation, monitoring, and output retrieval. Trigger keywords: people attribute search, PAS, … | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/physical-ai-people-attribute-search) |
| `physical-ai-video-data-augmentation` | Use when running video data augmentation and auto-labeling workflows on OSMO: flow selection, preflight, submit-time interpolation, monitoring, and output retrieval. Trigger keywords: video data augmentation, data enrichment, auto … | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/physical-ai-video-data-augmentation) |
| `tao-finetune-clip` | CLIP vision-language model for image-text retrieval, zero-shot classification, embedding extraction, ONNX export, and TensorRT deployment. Use when fine-tuning or training CLIP, running zero-shot classification, computing image embeddings, … | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/tao-finetune-clip) |
| `tao-finetune-cosmos-embed` | Cosmos-Embed1 video-text embedding for text-to-video retrieval, video-to-video search, semantic deduplication, and fine-tuning. Use when the user asks to "fine-tune Cosmos-Embed1", "run cosmos-embed inference", "export Cosmos-Embed1", … | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/tao-finetune-cosmos-embed) |
| `tao-run-automl` | Run AutoML / hyperparameter optimization (HPO) for NVIDIA TAO networks using AutoMLRunner. Handles algorithm selection (bayesian, hyperband, asha, bohb, llm, hybrid, autoresearch), WandB experiment tracking, job execution on any TAO SDK … | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/tao-run-automl) |
| `tao-train-depth-anything-v2` | Monocular depth estimation using Metric Depth Anything v2 or Relative Depth Anything architectures. Predicts per-pixel depth from single RGB images. Use when training, evaluating, exporting, or running inference for a TAO monocular depth … | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/tao-train-depth-anything-v2) |
| `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](https://github.com/NVIDIA/skills/tree/153b14b/skills/tao-train-metric-learning-recognition) |
| `tao-train-reid` | Person re-identification (ReID). Learns discriminative embeddings to match the same person across different camera views, based on metric learning. Use when training, evaluating, exporting, or running inference for a TAO person … | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/tao-train-reid) |
| `tilegym-cutile-autotuning` | Use when adding, modifying, optimizing, or debugging CuTile autotuning code. Trigger signals: `exhaustive_search` / `replace_hints` / `hints_fn` / `cuda.tile.tune` in code, `autotune` in filenames, or correctness/performance issues in … | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/tilegym-cutile-autotuning) |
| `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](https://github.com/NVIDIA/skills/tree/153b14b/skills/vss-ask-video) |
| `vss-deploy-dense-captioning` | Use this skill when deploying standalone RT-VLM dense captioning or calling its REST API (uploads, captions, streams, chat-completions, Kafka). Not for VSS profile deploy or video-search ingestion. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/vss-deploy-dense-captioning) |
| `vss-deploy-profile` | Use to select, configure, deploy, verify, debug, or tear down a VSS profile (base, search, lvs, warehouse, edge). Not for standalone microservices — use the vss-deploy-* skill. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/vss-deploy-profile) |
| `vss-generate-video-calibration` | Use to run AutoMagicCalib on local MP4s, RTSP, or the bundled sample dataset, and to deploy vss-auto-calibration when needed. Do not use for non-AMC calibration or runtime analytics. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/vss-generate-video-calibration) |
| `vss-generate-video-report` | Use this skill when producing a VSS analysis report — Mode A per-clip VLM, Mode B incident-range via video-analytics. Not for standalone video summarization, real-time alerts or ad-hoc Q&A. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/vss-generate-video-report) |
| `vss-manage-alerts` | Use for VSS alert workflows — real-time monitoring, Alert-Bridge subscriptions, Slack notifications, incident queries, camera onboarding. Not for non-alert analytics. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/vss-manage-alerts) |
| `vss-manage-video-io-storage` | Use to call the VIOS REST API (sensor list, timelines, clip extraction, snapshots, add/delete sensors and streams). Not for VLM inference or search. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/vss-manage-video-io-storage) |
| `vss-query-analytics` | Use this skill when reading video-analytics metrics, incidents, alerts, and sensor data via the VA-MCP server (port 9901). Not for live VLM or incident-range narrative reports. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/vss-query-analytics) |
| `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](https://github.com/NVIDIA/skills/tree/153b14b/skills/vss-search-archive) |
| `vss-setup-behavior-analytics` | Use to deploy the vss-behavior-analytics service standalone (entrypoint, config-source, optional calibration). Not for the full warehouse deploy. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/vss-setup-behavior-analytics) |
| `vss-setup-video-analytics-api` | Use to deploy the vss-video-analytics-api REST service standalone (config-source, data-log bind, Elasticsearch, optional Kafka). Not for full warehouse deploy. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/vss-setup-video-analytics-api) |
## Source: phuryn/pm-skills
- Repository: [https://github.com/phuryn/pm-skills](https://github.com/phuryn/pm-skills) (commit `18468a9`, retrieved 2026-07-07)
- License: MIT
| Skill | What it adds | Upstream |
|---|---|---|
| `ab-test-analysis` | Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations. Use when evaluating experiment results, checking if a test reached significance, interpreting split … | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-data-analytics/skills/ab-test-analysis) |
| `cohort-analysis` | Perform cohort analysis on user engagement data — retention curves, feature adoption trends, and segment-level insights. Use when analyzing user retention by cohort, studying feature adoption over time, investigating churn patterns, or … | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-data-analytics/skills/cohort-analysis) |
| `competitor-analysis` | Analyze competitors with strengths, weaknesses, and differentiation opportunities. Identifies direct competitors and maps the competitive landscape. Use when doing competitive research, preparing a competitive brief, or finding … | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-market-research/skills/competitor-analysis) |
| `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](https://github.com/phuryn/pm-skills/tree/18468a9/pm-market-research/skills/customer-journey-map) |
| `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](https://github.com/phuryn/pm-skills/tree/18468a9/pm-execution/skills/dummy-dataset) |
| `gtm-strategy` | Create a go-to-market strategy covering marketing channels, messaging, success metrics, and launch timeline. Use when planning a product launch, creating a GTM plan from scratch, or defining a launch strategy for a new market. | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-go-to-market/skills/gtm-strategy) |
| `ideal-customer-profile` | Identify the Ideal Customer Profile (ICP) from research data with demographics, behaviors, JTBD, and needs. Use when defining your ICP, analyzing PMF survey data, or understanding who your best customers are. | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-go-to-market/skills/ideal-customer-profile) |
| `lean-canvas` | Generate a Lean Canvas with problem, solution, metrics, cost structure, UVP, unfair advantage, channels, segments, and revenue. Use when exploring a lean startup canvas, testing a business hypothesis, or modeling a new venture. | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-product-strategy/skills/lean-canvas) |
| `market-segments` | Identify 3-5 potential customer segments with demographics, JTBD, and product fit analysis. Use when exploring market segments, identifying target audiences, evaluating new markets, or learning how to segment a market. | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-market-research/skills/market-segments) |
| `market-sizing` | Estimate market size using TAM, SAM, and SOM with top-down and bottom-up approaches. Use when sizing a market opportunity, estimating addressable market, preparing for investor pitches, or evaluating market entry. | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-market-research/skills/market-sizing) |
| `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](https://github.com/phuryn/pm-skills/tree/18468a9/pm-product-discovery/skills/metrics-dashboard) |
| `north-star-metric` | Define a North Star Metric and 3-5 supporting input metrics that form a metrics constellation. Classify the business game (Attention, Transaction, Productivity) and validate against 7 criteria for an effective North Star. Use when choosing … | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-marketing-growth/skills/north-star-metric) |
| `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](https://github.com/phuryn/pm-skills/tree/18468a9/pm-product-strategy/skills/product-strategy) |
| `sentiment-analysis` | Analyze user feedback data to identify segments with sentiment scores, JTBD, and product satisfaction insights. Use when analyzing user feedback at scale, running sentiment analysis on reviews or surveys, or identifying satisfaction … | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-market-research/skills/sentiment-analysis) |
| `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](https://github.com/phuryn/pm-skills/tree/18468a9/pm-data-analytics/skills/sql-queries) |
| `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](https://github.com/phuryn/pm-skills/tree/18468a9/pm-market-research/skills/user-personas) |
| `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](https://github.com/phuryn/pm-skills/tree/18468a9/pm-market-research/skills/user-segmentation) |
## Source: deanpeters/Product-Manager-Skills
- Repository: [https://github.com/deanpeters/Product-Manager-Skills](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 |
|---|---|---|
| `company-intel` | Research a company, industry, or competitor set using web search and seven analytical lenses. Use when you need structured intel that feeds downstream PM skills. | [source](https://github.com/deanpeters/Product-Manager-Skills/tree/99be43c/skills/company-intel) |
| `company-research` | Create a company research brief with executive quotes, product strategy, and org context. Use when preparing for interviews, competitive analysis, partnerships, or market-entry work. | [source](https://github.com/deanpeters/Product-Manager-Skills/tree/99be43c/skills/company-research) |
| `customer-journey-map` | Create a customer journey map across stages, touchpoints, actions, emotions, and metrics. Use when diagnosing a broken experience or aligning a team on the full customer flow. | [source](https://github.com/deanpeters/Product-Manager-Skills/tree/99be43c/skills/customer-journey-map) |
| `discovery-interview-prep` | Plan customer discovery interviews with the right goal, segment, constraints, and method. Use when preparing interviews for problem validation, churn research, or new product ideas. | [source](https://github.com/deanpeters/Product-Manager-Skills/tree/99be43c/skills/discovery-interview-prep) |
| `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](https://github.com/deanpeters/Product-Manager-Skills/tree/99be43c/skills/finance-metrics-quickref) |
| `proto-persona` | Create a proto-persona from current research, market signals, and team knowledge. Use when you need a working customer profile before deeper validation. | [source](https://github.com/deanpeters/Product-Manager-Skills/tree/99be43c/skills/proto-persona) |
| `saas-economics-efficiency-metrics` | Evaluate SaaS unit economics and capital efficiency. Use when deciding whether the business can scale efficiently or needs correction. | [source](https://github.com/deanpeters/Product-Manager-Skills/tree/99be43c/skills/saas-economics-efficiency-metrics) |
| `saas-revenue-growth-metrics` | Calculate SaaS revenue, retention, and growth metrics. Use when diagnosing momentum, churn, expansion, or product-market-fit signals. | [source](https://github.com/deanpeters/Product-Manager-Skills/tree/99be43c/skills/saas-revenue-growth-metrics) |
## Source: veniceai/skills
- Repository: [https://github.com/veniceai/skills](https://github.com/veniceai/skills) (commit `de089fa`, retrieved 2026-07-07)
- License: MIT
| Skill | What it adds | Upstream |
|---|---|---|
| `venice-audio-music` | Async music / audio-track generation via Venice. Covers the /audio/quote + /audio/queue + /audio/retrieve + /audio/complete lifecycle, lyrics vs instrumental, voice selection, duration, language, speed, model capability probing, and … | [source](https://github.com/veniceai/skills/tree/de089fa/skills/venice-audio-music) |
| `venice-billing` | Venice billing and usage analytics - GET /billing/balance, GET /billing/usage (paginated per-request ledger, JSON or CSV), and GET /billing/usage-analytics (aggregated by date/model/key). Covers the DIEM/USD/BUNDLED_CREDITS consumption … | [source](https://github.com/veniceai/skills/tree/de089fa/skills/venice-billing) |
| `venice-characters` | Discover and use Venice public characters (persona-driven system prompts with a bound model). Covers GET /characters (search/filter/sort), /characters/{slug}, /characters/{slug}/reviews, the Character schema, and how to apply a character … | [source](https://github.com/veniceai/skills/tree/de089fa/skills/venice-characters) |
| `venice-chat` | Call POST /chat/completions on Venice. Covers the OpenAI-compatible request shape, Venice-only venice_parameters (web search, E2EE, characters, thinking control, X search), multimodal inputs (images/audio/video), tool calls, reasoning … | [source](https://github.com/veniceai/skills/tree/de089fa/skills/venice-chat) |
| `venice-embeddings` | Call POST /embeddings on Venice. Covers request shape (input, model, encoding_format, dimensions, user), OpenAI compatibility, response compression (gzip/br), and practical usage for retrieval, clustering, and RAG. | [source](https://github.com/veniceai/skills/tree/de089fa/skills/venice-embeddings) |
| `venice-responses` | Use Venice's Alpha POST /responses endpoint - an OpenAI-compatible Responses API with typed output blocks (reasoning, message, function_call, web_search_call). Covers request shape, streaming, differences from /chat/completions, supported … | [source](https://github.com/veniceai/skills/tree/de089fa/skills/venice-responses) |
| `venice-video` | Generate and transcribe videos via Venice. Covers the async /video/quote + /video/queue + /video/retrieve + /video/complete loop, text-to-video, image-to-video, video-to-video (upscale), audio input, reference images, scene and element … | [source](https://github.com/veniceai/skills/tree/de089fa/skills/venice-video) |
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