Skill: nemesis0017/ultimate-research (version 1.0.2)

--- name: ultimate-research description: 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. --- # 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.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)