skillfactor-pipeline/skills/ict-research-manager/references/ai-skills.md

External AI agent skills — ict-research-manager

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
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
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

Source: wshobson/agents

• Repository: https://github.com/wshobson/agents (commit 6fd3247, retrieved 2026-07-07)
• License: MIT (c) Seth Hobson

Skill	What it adds	Upstream
team-collaboration-dx-optimizer (agent)	Developer Experience specialist. Improves tooling, setup, and workflows. Use PROACTIVELY when setting up new projects, after team feedback, or when development friction is noticed.	source

Source: cypress-io/ai-toolkit

• Repository: 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

Source: ConardLi/garden-skills

• Repository: 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

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-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
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
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
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
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

Source: coreyhaines31/marketingskills

• Repository: 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
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
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

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-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

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
aiq-research	Use when asked to run deep research or AI-Q research through a reachable NVIDIA AI-Q Blueprint backend.	source
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
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
nemotron-retrieval-recipes	Use when planning, debugging, tuning, evaluating, exporting, or deploying public Nemotron embed/rerank retrieval recipes.	source
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
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
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
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
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
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
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
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-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
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
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
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
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

Source: phuryn/pm-skills

• Repository: https://github.com/phuryn/pm-skills (commit 18468a9, retrieved 2026-07-07)
• License: MIT

Skill	What it adds	Upstream
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
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
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
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
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
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
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

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
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
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
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
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

Source: veniceai/skills

• Repository: 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
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
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
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
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
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