deep-research
Skill873 starsChanged 25 days agoMITView on GitHub
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. Not for standing monitoring (radar) or pulling one post or video (social-fetch, watch-video).
- Reads credentials
We split this skill into the rules it gives an agent
6 rules. 0 are common, 5 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 175 edited versions we read keep these.
5
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 35
Run discovery passes in parallel where possible.
- Distinctive: line 39
Run each chosen source. For each result, capture:
- Distinctive: line 45
Don't synthesize yet — just collect.
- Very specific: line 96
Write the brief to <archive dir>/<YYYY-MM-DD>-<slug>.md so it's grep-able forever.
- Distinctive: line 119
Always cite: Every claim in the brief needs a source pointer.
- Distinctive: line 122
No padding: If the answer is one paragraph, return one paragraph.
“Common” is measured: kept by at least 6 in 10 of the 175 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
/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
- Group findings by theme or sub-question
- Contradiction check — flag anywhere sources disagree. Don't average them; surface the disagreement.
- Confidence: high (multiple independent sources agree), medium (one strong source or several weak), low (single anecdote or speculation)
- 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.
Other versions194 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 194
- affaan-m/ECC★ 246ksame name
- bytedance/deer-flow★ 85ksame name
- Imbad0202/academic-research-skills★ 55ksame name
- THU-MAIC/OpenMAIC★ 42ksame name
- genspark-ai/genoffice★ 11ksame name
- HKUSTDial/Supervisor-Skills★ 11ksame name
- advaitpaliwal/feynman★ 10ksame name
- companion-inc/feynman★ 10ksame name
- getcompanion-ai/feynman★ 10ksame name
- jordan-gibbs/hyperresearch★ 4.2ksame name
184 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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