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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 s
Passed 16 of 19 test cases with the skill, and 7 of 19 without it.
and 6 more in the full report
9 fixed7 passed either way3 still failing0 broke3 errored
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
Our team is running a market validation step inside a business brainstorming session for a new developer tool idea. Which research workflow skill integrates directly into this validation step to gather multi-source evidence?
| Checked | Without skill | With skill |
|---|---|---|
| Identifies deep-research as the skill that handles market validation during business brainstorming workflows. | Missed | Passed |
The instructions your model reads when the skill loads.
Plans, executes, and synthesizes research from multiple sources. Archives the output so the corpus compounds.
Restate the research question in one tight sentence. If ambiguous, ask the user:
Output: **Research question:** <one sentence>
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).
Run each chosen source. For each result, capture:
Don't synthesize yet — just collect.
test cases passed, vs 7 / 19 without
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