Install
openclaw skills install chaoxiresearchskillThis skill should be used when the user requests a structured, in-depth research on a specific topic, industry, technology, product, market, person, organization, or any domain-specific subject. Trigger phrases include: "深度调研", "帮我研究一下", "做一份调研报告", "分析一下XX行业/市场/技术", "写一份研究报告", "deep research", "research report", "调研", "研究报告", "行业报告", "竞品分析", "market research", "技术调研", "可行性分析", "尽职调查". This skill guides a rigorous, multi-source, evidence-balanced research process that: - Defines research audience and objectives before starting - Decomposes the topic into structured dimensions - Gathers evidence from multiple sources with credibility ratings - Includes counterevidence and conflicting viewpoints - Flags information gaps honestly instead of fabricating - Delivers a structured report plus a one-page summary card
openclaw skills install chaoxiresearchskillA structured deep-research skill for producing rigorous, balanced, and actionable research reports on any topic.
This skill enforces a disciplined research methodology. It is NOT a simple "search and summarize" tool. It demands evidence quality control, counterevidence inclusion, and honest flagging of gaps.
Outputs:
Before starting research, confirm these inputs from the user or infer them from context:
| Input | Required | Default if absent |
|---|---|---|
| Research topic | Yes | — |
| Target audience | Recommended | "decision maker / general professional" |
| Key dimensions to focus on | Optional | Use standard dimension set (see references) |
| Time scope | Optional | "recent 1–3 years unless specified" |
| Depth level | Optional | "standard" (balanced breadth and depth) |
If the topic is ambiguous, ask ONE clarifying question before proceeding.
State in 1–2 sentences: What question is this research answering, and what decision or understanding will it enable?
State who will read this: their background, what they already know, and what they need to walk away with.
Break the topic into 4–7 dimensions. For each dimension:
Use references/dimension-templates.md for standard dimension sets by research type (industry, technology, company, product, market).
For each dimension, gather from at least 2–3 distinct source types:
| Source Type | Examples | Default Credibility |
|---|---|---|
| Primary data | Official reports, regulatory filings, academic papers | ★★★★★ |
| Industry reports | McKinsey, Gartner, IDC, CB Insights, Frost & Sullivan | ★★★★ |
| News & media | Reuters, Bloomberg, FT, 36kr, 财新, 虎嗅 | ★★★ |
| Expert commentary | Interviews, conference talks, analyst notes | ★★★ |
| Community & forums | Reddit, Zhihu, GitHub Issues, industry forums | ★★ |
| AI-generated synthesis | LLM summaries without cited sources | ★ |
See references/credibility-rubric.md for detailed credibility rating rules.
For each research dimension:
For every major claim in the report, actively search for contradicting evidence:
[反面证据][未发现明显反面证据,可信度待验]When two credible sources contradict each other:
[矛盾信息 — 并列呈现]When a key question cannot be answered from available sources:
[信息不足 — 无法得出可靠结论]Synthesize findings dimension by dimension:
Go beyond summarizing to identify:
Assign a confidence level to each major finding:
| Level | Meaning |
|---|---|
| 高 (High) | Multiple independent ★★★★+ sources agree |
| 中 (Medium) | Some evidence, limited cross-validation |
| 低 (Low) | Single source, low credibility, or conflicting signals |
| 未知 (Unknown) | Insufficient data, explicitly flagged |
Follow the template in assets/report-template.md. Structure:
Follow the template in assets/summary-card-template.md. Deliver after the full report.
The card contains:
Before presenting the output, verify: