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nemesis0017

Ultimate Research

by Nemesis0017 · GitHub ↗ · v1.0.2 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install 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...
README (SKILL.md)

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.

Usage Guidance
This skill appears safe to install as a research orchestrator. Before using it on sensitive topics, understand that it is designed to consult memory and route through multiple other research and scraping skills, so review those dependent skills and ask for memory/tool limits when needed.
Capability Analysis
Type: OpenClaw Skill Name: ultimate-research Version: 1.0.2 The 'ultimate-research' skill bundle is a meta-orchestrator designed to coordinate multiple research-related sub-skills. The core logic in `scripts/ultimate_research.py` is a deterministic keyword-based router, and the instructions in `SKILL.md` focus on structured synthesis, evidence-based reporting, and clarifying vague queries. No indicators of data exfiltration, malicious execution, or harmful prompt injection were detected.
Capability Assessment
Purpose & Capability
The stated purpose is consistent with the artifacts: it routes broad research questions into a structured answer. The main sensitivity is that the mandatory core includes memory, web scraping, market research, and other skills on every routed query.
Instruction Scope
The instructions include useful limits such as asking one clarifying question, not inventing facts, and using only specialist skills that help. However, the mandatory core is broad and should be understood before use.
Install Mechanism
There is no install spec, no package installation, and the included Python helper is deterministic, uses only standard libraries, and does not perform network, file-write, shell, or credential operations.
Credentials
Web and research-tool use is proportionate for a research router, but it may involve external page fetching or provider behavior through other named skills not reviewed here.
Persistence & Privilege
The included code has no persistence or privilege escalation, but the skill explicitly instructs use of supermemory for prior decisions, preferences, projects, and recurring context.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install ultimate-research
  3. After installation, invoke the skill by name or use /ultimate-research
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.2
Finalised repository docs, set the release status to 1.0.2, and marked this as the current published version.
v1.0.1
Added a ClawHub badge, repository changelog, and listing link for a cleaner release presentation.
v1.0.0
Initial release
Metadata
Slug ultimate-research
Version 1.0.2
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 3
Frequently Asked Questions

What is Ultimate Research?

Orchestrate broad or multi-domain research by routing every query through a mandatory core of memory, self-improvement, brainstorming, research, web scraping... It is an AI Agent Skill for Claude Code / OpenClaw, with 51 downloads so far.

How do I install Ultimate Research?

Run "/install ultimate-research" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Ultimate Research free?

Yes, Ultimate Research is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Ultimate Research support?

Ultimate Research is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Ultimate Research?

It is built and maintained by Nemesis0017 (@nemesis0017); the current version is v1.0.2.

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