Overview
- Skill Key
- draco-kzn/desk-research-skill
- Author
- draco-kzn
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/draco-kzn/desk-research-skill
- Latest Commit SHA
- 44ed9a4d8bbd03ccb7e69716911ff9cf524416c2
Structured desk research workflow for market, company, policy, product, and competitor questions. Use when a user asks for secondary research, landscape scans, evidence-based summaries, source triangulation, or insight synthesis from public information.
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Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 desk-research 技能。 若已安装,则直接安装 desk-research 技能。
# Desk Research Execute this workflow for any desk-research request. ## 0) Load methodology checklist (first) Read `references/methodology.md`, `references/deep-writing-patterns.md`, and `references/quality-checklist.md` and apply all as guardrails. ## 1) Define the research brief Write 4 lines before searching: - Research question (1 sentence) - Scope (time, geography, industry) - Must-answer sub-questions (3-6 bullets) - Output format needed by user If the question is vague, propose assumptions explicitly and continue. ## 2) Build a source plan Collect evidence in this priority order: 1. Primary/official sources (government, regulator, company filings, product docs) 2. Reputable secondary analysis (major research firms, established media) 3. Community signals (forums/social) only as supporting evidence Require at least 2 independent sources for every key claim. ## 3) Gather evidence fast For each sub-question: - Find 3-8 candidate sources - Keep the highest-signal sources - Extract only claim + evidence + date + link Reject sources that are undated, anonymous, or purely opinionated unless the user asked for sentiment. ## 4) Score source reliability Tag each source: - A = official primary source - B = credible secondary source - C = weak/indicative source When claims conflict, prefer newer A/B sources and explicitly note uncertainty. ## 5) Synthesize insights Convert notes into: - Facts (well-supported) - Interpretations (reasoned but inferential) - Unknowns (gaps needing validation) Never present interpretation as fact. ## 5.5) Deepening loop (mandatory) Before final delivery, run at least 2 rounds of self-questioning: Round A — Coverage challenge - What did I miss by source type, time window, or geography? - Which category/conclusion is over-dependent on one source? - What contradicts my current conclusion? Round B — Decision challenge - If this conclusion is wrong, what evidence would prove it wrong? - Which part is descriptive but not deci...
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