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deep-research

Deep research on any topic using parallel sub-agents and built-in tools only (WebSearch/WebFetch + free APIs, no keys). Use when the user asks for a thorough multi-source investigation with a cited report — "深度调研X"、"deep research"、"帮我全面研究一下"、"多方求证"、"写一份调研报告". NOT for simple lookups (single WebSearch suffices) and NOT for academic literature surveys (use auto-research skill instead).

Quellinformationen

Repository
XiaomiMiMo/MiMo-Code
Letzte Quellaktivität
30. September 2026 um 08:41
Erkannte Sprache von SKILL.md
Englisch
Sterne
13.623
Forks
1.428

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

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SKILL.md wird angezeigt

SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
deep-research
description
Deep research on any topic using parallel sub-agents and built-in tools only (WebSearch/WebFetch + free APIs, no keys). Use when the user asks for a thorough multi-source investigation with a cited report — "深度调研X"、"deep research"、"帮我全面研究一下"、"多方求证"、"写一份调研报告". NOT for simple lookups (single WebSearch suffices) and NOT for academic literature surveys (use auto-research skill instead).
# Deep Research Orchestrate parallel research sub-agents, then write one coherent cited report. Research is parallel; writing is single-point — never let multiple agents write report sections. ## Step 0 — Always first 1. Run `date +%Y-%m-%d` via Bash. Never assume the current year from training data. 2. Triage: - Answerable with 1-2 searches? → STOP, just use WebSearch directly. Do not use this skill. - Enumeration task (N items × M fields, e.g. "compare 20 frameworks")? → still this skill, but use table-oriented decomposition (one sub-agent per item batch). - Open-ended investigation? → continue below. 3. Pick depth (default **standard**; user can override with words like "quick"/"exhaustive"): | Mode | Sub-agents (round 1) | Max follow-up rounds | Sources target | |---|---|---|---| | quick | 2-3 | 0 | 8+ | | standard | 3-5 | 1 | 15+ | | deep | 5-8 | 2 | 25+ | These are hard budgets. Reflection (Phase 4) can spend them but never exceed them. ## Workspace All state lives on disk at `./research/<slug>/` — never only in context (survives compaction): ``` research/<slug>/ ├── brief.md # research brief — the single contract for all phases ├── findings/ # F1.md, F2.md ... one per sub-agent, structured evidence └── REPORT.md # final deliverable ``` On resume: re-read `brief.md` + list `findings/`, skip completed angles, continue. ## Phase 1 — Scope Ask at most one round of clarifying questions (AskUserQuestion), only if genuinely ambiguous: audience, time frame, region, decision at stake. If the user said "just run it" or intent is clear, skip asking and write assumptions into the brief instead. Then write `brief.md`: refined question, scope boundaries (in/out), assumptions, depth mode, today's date. This brief — not the raw conversation — is what every later phase measures against. ## Phase 2 — Plan Decompose the brief into 3-8 **independent** research angles. Pull from these lenses as applicable: core facts/definitions · recent developments (last 12 months) · quantitative data/benchmarks · counter-arguments & failure cases · practitioner experience (forums, issues) · academic work · key players/alternatives. List angles in `brief.md` under `## Angles`. For deep mode or contested topics, show the angle list to the user for a quick confirm before spending budget. ## Phase 3 — Parallel research Spawn one sub-agent per angle **in a single message** (parallel). Build each prompt from the locked template in [reference/subagent-prompt.md](reference/subagent-prompt.md) — reproduce it verbatim, replacing only the `{variables}`. Each sub-agent: - researches ONE angle only, using WebSearch/WebFetch and the free endpoints in [reference/sources.md](reference/sources.md) - writes structured findings to `findings/F<n>.md` (claim / quote / URL / date / confidence per item) - returns only a 3-5 line summary to you — raw page content must never enter your context If a sub-agent fails or returns thin results, note it and move on; do not block other angles. ## Phase 4 — Reflect (gap check) Read all `findings/*.md`. Against `brief.md`, ask: which parts of the brief have no evidence? Which major claims rest on a single source? Where do sources conflict? - Gaps found AND follow-up budget remains → spawn targeted sub-agents with delta-queries (same template, narrower angle). Repeat once per remaining round. - No budget left or coverage sufficient → proceed. Record unresolved gaps; they go in the report's "Open questions". ## Phase 5 — Write (single-point) You alone write `REPORT.md` in one pass, following [reference/report.md](reference/report.md). Core rules: - Every non-obvious claim carries an inline citation `[n]` mapping to a Sources section; citation URLs come only from findings files — never from memory. - Where sources conflict, present both sides with dates; prefer newer + primary sources. - Mark single-source claims with `[single source]`, speculation with `[speculative]`. - End with: Open questions · Sources (numbered, with access date). For deep mode, before finalizing do one critique pass: reread the report as a skeptical reviewer (unsupported claims? stale data? missing counter-view?) and fix in place. Finally, give the user a 5-10 line summary of key conclusions and the report path.
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