openclaw-skills/deep-research/SKILL.md
Generate format-controlled research reports with evidence tracking, citations, and iterative review. This skill should be used when users request a research report, literature review, market or industry analysis, competitive landscape, policy or technical brief, or require a strict report template and section formatting that a single deepresearch pass cannot reliably enforce.
npx skillsauth add seaworld008/commonly-used-high-value-skills deep-researchInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Create high-fidelity research reports with strict format control, evidence mapping, and multi-pass synthesis.
Copy this checklist and track progress:
Deep Research Progress:
- [ ] Step 1: Intake and format contract
- [ ] Step 2: Research plan and query set
- [ ] Step 3: Evidence collection (deepresearch tool)
- [ ] Step 4: Source triage and evidence table
- [ ] Step 5: Outline and section map
- [ ] Step 6: Multi-pass full drafting (parallel subagents)
- [ ] Step 7: UNION merge and format compliance
- [ ] Step 8: Evidence and citation verification
- [ ] Step 9: Present draft for human review and iterate
Establish the report requirements before any research:
Create a concise report spec file:
Report Spec:
- Audience:
- Purpose:
- Scope:
- Time Range:
- Geography:
- Required Sections:
- Section Formatting Rules:
- Citation Style:
- Output Format:
- Length Targets:
- Tone:
- Must-Include Sources:
- Must-Exclude Topics:
If a user provides a template or an example report, treat it as a hard constraint and mirror the structure.
Define the research strategy before calling tools:
Use references/research_plan_checklist.md for guidance.
Use the deepresearch tool to collect evidence and citations.
File structure (recommended):
<output_dir>/research/<topic-name>/
deepresearch_pass1.md
deepresearch_pass2.md
deepresearch_pass3.md
If deepresearch is unavailable, rely on user-provided sources only and state limitations explicitly.
Normalize and score sources before drafting:
Evidence table minimum columns:
Create an outline that enforces the format contract:
Avoid single-pass drafting; generate multiple complete reports, then merge.
Use the Task tool to spawn parallel subagents with isolated context. Each subagent must:
Implementation pattern:
Task(subagent_type="general-purpose", prompt="Draft complete report ...", run_in_background=false) -> version1.md
Task(subagent_type="general-purpose", prompt="Draft complete report ...", run_in_background=false) -> version2.md
Task(subagent_type="general-purpose", prompt="Draft complete report ...", run_in_background=false) -> version3.md
Write drafts to files, not conversation context:
<output_dir>/intermediate/<topic-name>/version1.md
<output_dir>/intermediate/<topic-name>/version2.md
<output_dir>/intermediate/<topic-name>/version3.md
Merge using UNION, never remove content without evidence-based justification:
Verify traceability:
Use references/completeness_review_checklist.md.
Present the draft as a reviewable version:
| File | When to Load | | --- | --- | | research_report_template.md | Build outline and draft structure | | formatting_rules.md | Enforce section formatting and citation rules | | source_quality_rubric.md | Score and triage sources | | research_plan_checklist.md | Build research plan and query set | | completeness_review_checklist.md | Review for coverage, citations, and compliance |
development
飞书知识库:管理知识空间、空间成员和文档节点。创建和查询知识空间、查看和管理空间成员、管理节点层级结构、在知识库中组织文档和快捷方式。当用户需要在知识库中查找或创建文档、浏览知识空间结构、查看或管理空间成员、移动或复制节点时使用。当用户给出 doubao.com 的 /wiki/ URL/token 时,也应直接使用本 skill,不要因为域名不是飞书而回退到 WebFetch;路由依据是 URL 路径模式和 token,而不是域名。
tools
飞书画板:查询和编辑飞书云文档中的画板。支持导出画板为预览图片、导出原始节点结构、使用 DSL(转成 OpenAPI 格式)、PlantUML/Mermaid 格式更新画板内容。 当用户需要查看画板内容、导出画板图片、编辑画板,或是需要可视化表达架构、流程、组织关系、时间线、因果、对比等结构化信息时使用此 skill,无论是否提及\"画板\"。 ⚠️ 原 `lark-whiteboard-cli` skill 已合并至本 skill,若 skill 列表中同时存在 `lark-whiteboard-cli`,请忽略它,统一使用本 skill(`lark-whiteboard`),并提示用户运行 `npx skills remove lark-whiteboard-cli -g` 删除旧 skill。
testing
飞书视频会议:搜索历史会议、查询会议纪要产物(总结、待办、章节、逐字稿)、查询会议参会人快照。1. 查询已经结束的会议数量或详情时使用本技能(如历史日期|昨天|上周|今天已经开过的会议等场景),查询未开始的会议日程使用 lark-calendar 技能。2. 支持通过关键词、时间范围、组织者、参与者、会议室等筛选条件搜索会议。3. 获取或整理会议纪要、逐字稿、录制产物时使用本技能。4. 查询“谁参加过某会议”“参会人列表”等参会人快照信息用 vc meeting get --with-participants(任意时点可查,含已结束会议)。注意:**Agent 真实入会/离会、感知正在进行中会议的实时事件**请使用 lark-vc-agent 技能,本技能不覆盖写操作和会中事件流。
data-ai
飞书会议机器人入会、离会和会中事件读取。