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Ultimate Research

作者 Nemesis0017 · GitHub ↗ · v1.0.2 · MIT-0
cross-platform ✓ 安全检测通过
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当前安装
3
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在 OpenClaw 中安装
/install ultimate-research
功能描述
Orchestrate broad or multi-domain research by routing every query through a mandatory core of memory, self-improvement, brainstorming, research, web scraping...
使用说明 (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.

安全使用建议
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.
功能分析
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.
能力评估
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.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install ultimate-research
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ultimate-research 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
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
元数据
Slug ultimate-research
版本 1.0.2
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 3
常见问题

Ultimate Research 是什么?

Orchestrate broad or multi-domain research by routing every query through a mandatory core of memory, self-improvement, brainstorming, research, web scraping... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 51 次。

如何安装 Ultimate Research?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install ultimate-research」即可一键安装,无需额外配置。

Ultimate Research 是免费的吗?

是的,Ultimate Research 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Ultimate Research 支持哪些平台?

Ultimate Research 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Ultimate Research?

由 Nemesis0017(@nemesis0017)开发并维护,当前版本 v1.0.2。

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