ultimate-research

Orchestrate broad or multi-domain research by routing every query through a mandatory core of memory, self-improvement, brainstorming, research, web scraping, and market research, then add only the specialist skills that materially improve the answer. Use when the user wants a researched recommendation, strategy, competitive analysis, market or SEO guidance, a current digest, or any ambiguous query that needs one clarifying question or a structured synthesis.

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Install skill "ultimate-research" with this command: npx skills add nemesis0017/ultimate-research

Ultimate Research

Operating model

Turn one vague or broad question into one high-confidence answer.

Rules

  • Ask one clarifying question when the query is too vague to route well.
  • Always use the mandatory core: web-scraper, self-improvement, supermemory, brainstorming, zo-research-topic, and market-research.
  • Add only the specialist skills that materially improve the answer.
  • Prefer the smallest useful set of extra skills. Do not run everything beyond the mandatory core.
  • Never invent facts. If evidence is missing, say so.
  • For research-heavy answers, include citations and source links.
  • Return a structured answer in this exact order:
    1. Question breakdown
    2. Skills used
    3. Evidence
    4. Recommendation
    5. Next steps

Routing sequence

  1. Scope the question

    • Identify the actual decision, not just the topic.
    • If vague, ask one clarifying question and stop.
  2. Load context

    • Use supermemory for prior decisions, preferences, projects, and recurring context.
    • Use self-improvement as a quick sanity and quality layer on every query.
    • Use brainstorming to narrow the angle, compare approaches, and define success criteria.
    • Use zo-research-topic for general deep research and synthesis.
  3. Ground the answer

    • Use web-scraper for current web pages, extraction, verification, and quotes.
    • Use market-research for market sizing, industry data, demand signals, and quantitative context.
  4. Add specialist skills only when they help

    • Market and growth: marketing-ideas, marketing-psychology, pricing-strategy, free-tool-strategy, launch-strategy, competitor-alternatives.
    • Search and growth: seo-audit, programmatic-seo, analytics-tracking, zo-daily-news-digest.
  5. Synthesize once

    • Merge the outputs into one answer.
    • Resolve conflicts explicitly.
    • Prefer concrete conclusions over open-ended notes.
  6. Quality check

    • Remove redundancy.
    • Keep only the best evidence.
    • Flag uncertainty.

Specialist skill map

  • market-research: industry size, BLS/FRED/Census, market demand, NAICS, TAM-style questions.
  • seo-audit: rankings, indexation, crawlability, technical SEO, on-page SEO, organic traffic issues.
  • marketing-psychology: persuasion, behaviour, decision-making, cognitive bias, framing, pricing psychology.
  • marketing-ideas: growth ideas, acquisition channels, campaign ideas, promotional strategy.
  • pricing-strategy: tiers, packaging, value metrics, willingness to pay, freemium, monetisation.
  • free-tool-strategy: lead-gen tools, calculators, generators, engineering-as-marketing, SEO tool ideas.
  • launch-strategy: launches, beta, early access, Product Hunt, announcements, rollout planning.
  • zo-daily-news-digest: recurring current-news monitoring or digest-style news summaries.
  • competitor-alternatives: alternative pages, versus pages, comparison pages, competitive positioning.
  • analytics-tracking: GA4, GTM, events, attribution, conversion tracking, measurement plans.
  • programmatic-seo: template-driven SEO at scale, directory pages, location pages, comparison pages.

Use the helper script

Use scripts/ultimate_research.py when you want a fast deterministic routing draft for a query. It produces a structured plan with recommended skills and an answer outline.

Output standard

Default to concise, structured answers. Expand only when the evidence or decision complexity justifies it.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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