/deep-research

name: deep-research
description: "When you want multi-source, multi-step research on a topic — competitor research before a sales call, market research for a new business idea, positioning angles, due diligence on a partnership or podcast guest, tech decision research (which DB, which auth), or any \"I need to actually understand X.\" Combines web search, URL fetch, agent-browser, last30days (Reddit/X/YouTube/HN/web recency), memory, and Notion. Outputs a structured brief with citations, contradictions, gaps, and recommended next steps. Archives every research run to ~/.config/makerskills/deep-research/archive/ so past work is searchable. Triggers on \"/deep-research,\" \"research X,\" \"investigate X,\" \"do a deep dive on X,\" \"look into X,\" \"what's actually happening with X,\" \"due diligence on X,\" \"validate this market.\" Differs from a one-shot web search: this is multi-pass with verification."
metadata:
  version: 0.2.1

/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.

| Source | When to use | How (tool names vary by agent) | |---|---|---| | Web search (Google) | Authoritative articles, docs, official statements | Your agent's web search (e.g. `WebSearch` in Claude Code) | | `/last30days` | What people are *actually saying* right now — Reddit, X, YouTube, HN, web recency | The `last30days` skill, if installed. Otherwise skip it and note the gap | | Specific URLs | When the user hands over starting URLs | Your agent's URL fetch (e.g. `WebFetch`), or `curl` + `defuddle` | | Browsable pages (auth-walled, JS-heavy) | Pricing pages, product tours, profiles | `agent-browser` CLI (any agent with a shell) | | Memory | Prior research / decisions / context the user already captured | your agent's memory, or grep `${MAKERSKILLS_MEMORY:-${MAKERSKILLS_CONFIG:-$HOME/.config/makerskills}/memory}/` | | Notion | If the topic touches a known Notion workspace | Direct Notion API (key in `$NOTION_API_KEY`, see `reference_notion_api.md`) | | Research archive | Prior `/deep-research` runs that touched this topic | grep `${MAKERSKILLS_CONFIG:-$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 web search).

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.