deep-research

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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 WebSearch, WebFetch, 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 WebSearch: this is multi-pass with verification.

Web & Frontend 803 stars 65 forks Updated 6 days ago MIT

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Skill Content

# /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 | Tool | |---|---|---| | Web search (Google) | Authoritative articles, docs, official statements | `WebSearch` | | `/last30days` | What people are *actually saying* right now — Reddit, X, YouTube, HN, web recency | `Skill({skill: "last30days", args: "<topic>"})` | | Specific URLs | When the user hands over starting URLs | `WebFetch` | | Browsable pages (auth-walled, JS-heavy) | Pricing pages, product tours, profiles | `agent-browser` via the `compound-engineering:agent-browser` skill | | Memory | Prior research / decisions / context the user already captured | grep `~/.claude/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/archiv...

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Author
coreyhaines31
Repository
coreyhaines31/makerskills
Created
3 months ago
Last Updated
6 days ago
Language
N/A
License
MIT

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Expanded, multi-angle web research - an upgrade over a single WebSearch. Decomposes a topic into angles, runs parallel researcher subagents (one per angle, source-cited and dated), cross-validates their findings for contradictions and source authority, then synthesizes one confidence-rated, source-cited brief. Provider- and project-agnostic; writes nothing outside its output unless asked. Use for "deep research", "research X thoroughly", "multi-angle", "what's the current state of X", "is X still true", any request for an answer that is "verified, not guessed" (--inline covers quick verified lookups), or any question where a single search is too shallow and accuracy matters.

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deep-research

Use when the user needs multi-source research with citation tracking, evidence persistence, and structured report generation. Triggers on "deep research", "comprehensive analysis", "research report", "compare X vs Y", "analyze trends", or "state of the art". Not for simple lookups, debugging, or questions answerable with 1-2 searches.

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