deep-research

coreyhaines31-deep-research

トピックについてマルチソース、マルチステップのリサーチを求めるとき――営業コール前の競合他社調査、新しいビジネスアイデアのための市場調査、ポジショニングアングル、パートナーシップやポッドキャストゲストのデューデリジェンス、技術的な意思決定調査(どのデータベース、どの認証)、あるいは「実際に理解しなければならない...…

@coreyhaines31MIT更新 2026-08-22v0.1.0直近30日 0 回
コンテキストを 1,134 トークン使用しますコンテキストを 1.1k トークン 使用します

/deep-research — Multi-source research with archive

Plans, executes, and synthesizes research from multiple sources. Archives the output so the corpus compounds.

Step 1 — Frame the question

Restate the research question in one tight sentence. If ambiguous, ask the user:

  • What's the decision this research will inform?
  • What's the minimum useful answer? (Saves over-researching.)
  • Any sources to prioritize or avoid?

Output: **Research question:** <one sentence>

Step 2 — Plan the sources

Pick from this menu based on the question type. Note which sources you'll hit and why.

SourceWhen to useTool
Web search (Google)Authoritative articles, docs, official statementsWebSearch
/last30daysWhat people are actually saying right now — Reddit, X, YouTube, HN, web recencySkill({skill: "last30days", args: "<topic>"})
Specific URLsWhen the user hands over starting URLsWebFetch
Browsable pages (auth-walled, JS-heavy)Pricing pages, product tours, profilesagent-browser via the compound-engineering:agent-browser skill
MemoryPrior research / decisions / context the user already capturedgrep ~/.claude/memory/
NotionIf the topic touches a known Notion workspaceDirect Notion API (key in $NOTION_API_KEY, see reference_notion_api.md)
Research archivePrior /deep-research runs that touched this topicgrep ${MAKERSKILLS_CONFIG:-$HOME/.config/makerskills}/deep-research/archive/

Run discovery passes in parallel where possible. Sequential only when one source needs another's output (e.g., agent-browser a URL discovered by WebSearch).

Step 3 — Execute discovery

Run each chosen source. For each result, capture:

  • The source (URL or system)
  • 1–3 sentence summary of what was said
  • Date / recency
  • Confidence in the source (high/medium/low)

Don't synthesize yet — just collect.

Step 4 — Synthesize

  1. Group findings by theme or sub-question
  2. Contradiction check — flag anywhere sources disagree. Don't average them; surface the disagreement.
  3. Confidence: high (multiple independent sources agree), medium (one strong source or several weak), low (single anecdote or speculation)
  4. Gaps: what would change the answer? What's NOT in the corpus?

Step 5 — Output the brief

Use this template:

# Research: <question>

**Date:** <YYYY-MM-DD>
**Decision this informs:** <one line>
**Confidence overall:** high / medium / low

## TL;DR
<2–4 sentences with the answer>

## Key findings

### 1. <Finding>
<2–4 sentences>. Sources: [1], [3], [5]

### 2. <Finding>
...

## Contradictions / uncertainty
- <where sources disagree, with each side cited>

## Gaps
- <what's missing from the corpus>
- <what to research next to close the gap>

## Recommended next steps
1. <action>
2. <action>

## Sources
[1] <Title> — <URL or system> (<date>) — <confidence>
[2] ...

Step 6 — Archive

Archives live in ${MAKERSKILLS_CONFIG:-$HOME/.config/makerskills}/deep-research/archive/ (create the directory if missing). Never write archives inside the skill's own folder — skill installs and upgrades re-sync from source and wipe anything saved there. Migration: if this skill's folder contains an old references/research-archive/ with user entries, move those files into the archive directory first.

Write the brief to <archive dir>/<YYYY-MM-DD>-<slug>.md so it's grep-able forever. Slug = kebab-case of the topic.

Also append a one-line entry to <archive dir>/INDEX.md (create if missing):

- 2026-06-15 — [<topic>](./<filename>.md) — <one-line TL;DR>

Step 7 — Surface

After archiving:

  • Show the full brief in chat
  • Tell the user the archive path
  • Offer: "Push to Notion or save to a project's docs?"

Composes with

  • business-brainstorm — calls this skill during the market validation step
  • /domain — when research includes "is the .com available"
  • /last30days — one of the data sources

Notes on quality

  • Always cite. Every claim in the brief needs a source pointer.
  • Recency matters — note dates on each source. For fast-moving topics (AI, startups), de-weight sources >12 months old.
  • Don't trust a single source for high-stakes claims. Re-search until you have at least 2 independent corroborations or surface the uncertainty.
  • No padding. If the answer is one paragraph, return one paragraph. The template is a maximum, not a minimum.