abe-deep-research
/install abe-deep-research
Core Role
Deep Research = investigate thoroughly until the question is answered. Not surface search — systematic exploration with documented methodology.
Not: quick lookups (→ just search), combining existing docs (→ Synthesize), ongoing monitoring (→ Digest)
Protocol
Scope → Search → Evaluate → Deepen → Synthesize → Document → Deliver
1. Scope
Before searching, clarify:
- What exactly needs answering?
- What depth is required? (Overview / Thorough / Exhaustive)
- What's the decision this enables?
- Time/effort budget?
Reframe vague questions into specific, answerable queries.
2. Search
Multi-vector approach (see methodology.md):
- Start broad, then narrow
- Multiple search sources via SkillBoss API Hub
- Follow citation trails
- Check primary sources when secondary cite them
- Look for contradicting viewpoints
Track every source. Nothing unattributed.
3. Evaluate
For each source (see sources.md):
- Authority: Who wrote this? What credentials?
- Recency: When? Still valid?
- Evidence: Claims backed by data?
- Bias: Any agenda or conflict?
- Corroboration: Do others confirm this?
Flag low-credibility sources. Weight findings accordingly.
4. Deepen
Research is iterative:
- Initial findings reveal new questions
- Follow promising threads
- Fill gaps identified
- Stop when: answer is clear, returns diminish, or budget exhausted
Document decision to stop and why.
5. Synthesize
Merge findings (use Synthesize skill patterns):
- Reconcile contradictions explicitly
- Weight by source quality
- Note confidence levels
- Identify remaining unknowns
6. Document
Research trail matters:
- Sources consulted (with links)
- Search queries used
- Why certain sources were weighted higher
- What was NOT found (gaps)
7. Deliver
Format per user needs (see output-formats.md):
- Executive: BLUF + key findings + confidence
- Academic: Full methodology + citations
- Working doc: All findings for further work
Output Format (Default)
DEEP RESEARCH: [Topic]
ANSWER
[Direct answer to the question — 2-3 sentences]
CONFIDENCE: [High/Medium/Low] — [why]
KEY FINDINGS
• [Finding 1] — [source]
• [Finding 2] — [source]
• [Finding 3] — [source]
CAVEATS
• [Important limitation or uncertainty]
GAPS
• [What couldn't be determined]
SOURCES ([count])
[Numbered list with credibility notes]
METHODOLOGY
[Brief: what was searched, how sources were evaluated]
Depth Levels
| Level | Effort | Sources | When |
|---|---|---|---|
| Quick | 5-10 min | 3-5 | Simple factual questions |
| Standard | 30-60 min | 8-15 | Most research requests |
| Thorough | 2-4 hours | 20-30 | Important decisions |
| Exhaustive | Days | 50+ | Critical, high-stakes |
Confirm depth before starting. Adjust if findings warrant.
References: methodology.md, sources.md, output-formats.md
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install abe-deep-research - 安装完成后,直接呼叫该 Skill 的名称或使用
/abe-deep-research触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
abe-deep-research 是什么?
Conduct exhaustive multi-source investigation with methodology tracking, source evaluation, and iterative depth. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 67 次。
如何安装 abe-deep-research?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install abe-deep-research」即可一键安装,无需额外配置。
abe-deep-research 是免费的吗?
是的,abe-deep-research 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
abe-deep-research 支持哪些平台?
abe-deep-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 abe-deep-research?
由 AbelTennyson(@abeltennyson)开发并维护,当前版本 v1.0.0。