# Research Deep > Execute web research on specific questions and write findings to Notion `raw//` or `raw/shared/` as new raw source pages. Use after `/find-gaps` produces a confirmed plan, or when the user gives a direct research question (e.g. "research X" / "find me data on Y" / "look up Z"). - Skill: `schub-tech/research-deep` (Agent Skill) - Install (CLI): `npx skillmds@latest add schub-tech/research-deep` - Raw SKILL.md: https://api.skillmd.com/api/skills/schub-tech/research-deep/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Research & Search - Author: schub-tech (https://skillmd.com/u/schub-tech) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/schub-tech/research-deep --- Run targeted web research on one or more research questions and produce raw notes, then propose distilling them into the wiki via `docs/agent/workflows.md`. Maintaining the wiki is the LLM's job, not the user's — don't leave the raw notes sitting unintegrated. **Identify the question.** From a `/find-gaps` plan or a direct user prompt. If vague, narrow it before searching ("research the market" → "What 2024-2025 sources support or contradict the TAM figure cited in the overview's Market section?"). Read the relevant Notion `raw//` page and `raw/shared/` first to avoid retreading ground — if a recent note already covers the question, say so and ask the user whether to skip, supplement, or refresh. **Plan and execute searches.** Draft 2-4 targeted queries per question and run them. Read the most relevant sources end-to-end, not just snippets — snippets lose date and context. For multiple research questions in one session, consider launching one sub-agent per question so they run concurrently; each sub-agent owns its question end-to-end (queries, source reading, raw-note write) and returns when done. The parent agent then compiles the report-back. **Write one raw source page per research question** under the relevant Notion `raw//` page, or under `raw/shared/` if it applies across ideas. Title it with a date and topic, e.g. `2026-04-24 market pricing research`. Each raw page should: - State the originating question at the top (one sentence). - Capture findings with **source URL, publication date, and direct quote** for every material claim. - Mark uncertain or contested claims as `[uncertain]` with a one-line reason. - Surface contradictions across sources explicitly instead of picking the most flattering one. - Distinguish facts (what a source says) from synthesis (what the agent concludes from multiple sources). - End with a `## Suggested wiki integration` section: which idea overview / deep-dive section would update, and a one-line draft of the diff. **Report back.** After all notes are written (or all sub-agents have returned), list them with a one-line summary each, ordered by what would most move the verdict. Flag findings that confirm a load-bearing claim, findings that kill one, and questions where the search returned no useful evidence. **Suggest the ingest pass.** Once the raw pages exist, propose running the ingest workflow in `docs/agent/workflows.md` next. Offer to do it directly. Don't leave new evidence as raw-only. Cite real URLs only — never fabricate one. If a search returns nothing useful, say so explicitly rather than padding the note with adjacent content.