tahsinarafat/sleepy-code/deep-research
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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).
Install
npx vskill@latest install tahsinarafat/sleepy-code/deep-researchSKILL.md
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
- Run
date +%Y-%m-%dvia Bash. Never assume the current year from training data. - 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.
- 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):
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 — 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
- 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. 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.
Alternative: scripted workflow (unattended runs)
The same pipeline exists as a deterministic workflow script at /Users/mi/claude-workspace/.sleepycode/workflows/deep-research-pro.js — use it instead of the manual phases above when the run should be fully autonomous, resumable, or batch-invoked. It is convergent: re-running with the same dir skips completed phases (brief.md / plan.json / findings/F*.md / reflect.json / REPORT.md act as checkpoints).
Invocation (workflow tool; custom scripts must be passed inline via script, not name):
Notes:
- Do HITL clarification BEFORE invoking (the script never asks the user); fold answers into
question/context. - Interrupted or failed run? Re-invoke with identical args — it resumes from the last checkpoint.
workflow({operation:"resume", run_id})also works. - Returns
{ angles, deltaAngles, findingsFiles, reviewCritical, report }.
Security
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- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingpackages/opencode/src/skill/builtin/.bundle/deep-research/SKILL.md
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