- 📁 references/
- 📄 README.md
- 📄 SKILL.md
Strategic research framework that compresses months of market/competitive research into hours through structured power questions. Extracts unspoken industry insights, fragile market assumptions, and strategic attack surfaces from competitor data, reviews, and industry sources using parallel Exa-powered intelligence gathering. Use when user says "attack surface", "research the market", "competitive analysis", "analyze competitors", "find market opportunity", "stress-test this idea", "market research", "evaluate opportunity", "find blind spots", "market entry", or when they want to deeply understand a market, evaluate a new direction, find industry blind spots, assess a partnership, or analyze opportunities. Do NOT use for code review, testing, deployment, bug fixing, or implementation tasks. --- # Attack Surface — Strategic Research Framework Compress months of market research into hours. The difference between 3 hours and 3 months isn't the amount of information — it's knowing which questions actually matter. Instead of "summarize these" or "analyze the competition", this framework extracts: - **UNSPOKEN INSIGHTS** — what successful players understand that customers never say out loud - **FRAGILE ASSUMPTIONS** — beliefs the entire market is built on, and how they break - **ATTACK SURFACES** — the blind spots, the fragile consensus, the opening nobody is talking about ## When to Use - Entering a new market or vertical - Evaluating a new feature direction for an existing project - Assessing a partnership or platform opportunity - Stress-testing a business idea before committing - Finding competitive blind spots and underserved niches - Any strategic question that benefits from deep evidence-based analysis ## Workflow Overview 7 phases, alternating between automated intelligence gathering and user-guided analysis: | Phase | Name | Mode | Output | |-------|------|------|--------| | 1 | Briefing | Interactive | Research brief | | 2 | Source Collection | Automated (parall
- 📁 scripts/
- 📄 README.md
- 📄 SKILL.md
Index and search code repositories, documentation, research papers, HuggingFace datasets, local folders, Slack workspaces, Google Drive, X (Twitter), and packages with Nia AI. Includes auth bootstrapping, Oracle autonomous research, GitHub live search, Tracer agent, dependency analysis, context sharing, code advisor, document agent, data extraction, filesystem operations, and generic connectors.
- 📄 cli-skills-agent-retainableness.zip
- 📄 SKILL.md
Performs comprehensive, multi-layered research on any topic with structured analysis and synthesis of information from multiple sources. Use when the user needs thorough investigation, market research, technical deep-dives, due diligence, or comprehensive analysis on any subject.
- 📁 .claude-plugin/
- 📁 .cursor-plugin/
- 📁 .github/
- 📄 .gitignore
- 📄 LICENSE
- 📄 README.md
End-to-end user research assistant — from planning to synthesis. Use this skill whenever the user mentions user research, user interviews, discussion guides, interview guides, research plans, qualitative research, usability studies, participant recruitment, research synthesis, interview transcripts, research reports, running studies with AI, or explicitly mentions Cookiy AI. Also trigger when users want to talk to customers, conduct discovery research, create a study, analyze interview data, or run AI-moderated interviews. Covers the full lifecycle: planning a study, creating discussion guides, running AI-moderated interviews (real or simulated) via Cookiy, and synthesizing raw transcripts into evidence-backed reports. --- # Cookiy Skill — User Research, End to End This skill routes you to the right workflow based on what the user needs. There are three core capabilities, and they often chain together. --- ## Step 1: Identify the User's Intent Ask the user what stage they're at, or infer from context: | What the user wants | Go to | |---|---| | **Explicitly wants a detailed study plan, screening questionnaire, or interview/discussion guide** — they specifically ask to create these artifacts | [Qualitative Research Planner](#route-a-plan-a-study) | | **Synthesize a report** — they already have interview transcripts/notes and need analysis | [Synthesize Research Report](#route-b-synthesize-a-report) | | **Explicitly mentions Cookiy AI** — they want to use the Cookiy platform | [Cookiy AI Platform](#route-c-run-with-cookiy) | | **Has a rough research idea or already has a plan/guide** — didn't mention Cookiy | Ask: *"Would you like to use Cookiy AI to run this study end-to-end? Cookiy can generate a research plan and interview guide from your goal, recruit participants, conduct AI-moderated interviews (or simulated interviews with AI personas), and synthesize the results into a report."* Route to [Cookiy AI Platform](#route-c-run-with-cookiy) if yes, or [Qualitative Re
Write a specific PRD section grounded in project research and goals
- 📁 .claude-plugin/
- 📁 .github/
- 📁 agents/
- 📄 .gitignore
- 📄 AGENTS.md
- 📄 CLAUDE.md
Run product research studies with AI-generated personas. Simulates pricing, features, onboarding, copy, and retention decisions with 48+ psychologically detailed personas. Ask a product question, get a research synthesis.
Check running experiments, collect results, and present a research summary.
Conduct deep, structured research on any topic — markets, products, features, competitors, problems, industries, regulations, or opportunities. Trigger whenever the user wants to research, explore, investigate, analyze, or understand something. This includes: entering new markets, evaluating products or services, exploring features, solving business problems, competitive landscapes, regulatory research, or any "I need to understand X" scenario. Also trigger for: "look into," "dig into," "explore whether," "map out the landscape," "what are the options for X," "how does Y work in practice." Trigger aggressively — if there's research intent, use this skill. Covers: market research, competitive analysis, feature exploration, regulatory deep-dives, product evaluation, problem-solving, opportunity assessment, landscape mapping. --- # Deep Research Skill ## Core Philosophy Most research is shallow. It covers what's easily Googlable, presents generic overviews, and stops at the surface. This skill exists to go far beyond that. **The Delivery Rule:** - Never deliver less than 7x of what was asked - Aim for 10-15x: thorough coverage plus adjacent territory the user didn't request - For anything in the 25x zone (interesting but outside scope), include brief pointers so nothing important stays invisible **The Quality Standard:** Every section must pass the "experienced practitioner" test — would someone who's been in this space for 5 years learn something new from this output? If not, go deeper. Surface-level overviews are never acceptable as a final deliverable. --- ## Step 1: Mode Detection Determine the research mode before doing anything else. ### Mode A: Guided (Interactive) **Trigger when:** The prompt is vague, broad, ambiguous, or could go in multiple very different directions. Or the user explicitly says "ask me questions first." **Process:** 1. Ask 3-5 sharp questions using the Question Decomposition technique (below) 2. Present a Research Plan and confirm 3. Execute
