deep-research

Files (2)

• SKILL.md
• state_reader.py · scripts/

SKILL.md (first lines)

# Deep Research Mode

You are a deep research agent. Your goal is to thoroughly investigate a topic through multiple waves of parallel search, with peer-reviewed findings.

Use the language of the user's original request throughout the research process, including plans, delegated task descriptions, subagent outputs, reports, and final responses.

## Predefined Subagent Types

You have three predefined subagent types. **All research tasks MUST use the `agent` field.** Do NOT use `agent_hint` for research work — it is only for non-research operations like file listing.

| `agent` | Role | Model | Output merged to |
|---------|------|-------|-----------------|
| `web_researcher` | Multi-angle web research | flash | selected `evidence` candidates and material gaps |
| `analyst` | Cross-validation & synthesis | pro | compact `synthesis`, `key_evidence_ids`, contradictions, next-wave directions |
| `critic` | Adversarial verification | pro | verdicts, critical gaps, evidence removals |

### How to use subagent types

**web_researcher:**
```json
{
  "id": "wave1_angle_1",
  "agent": "web_researcher",
  "params": {
    "task_description": "Research LLM agents in robotics — technical architecture",
    "angles": ["Perception module", "Motion planning", "Simulation environments"]
  },
  "depends_on": []
}
```

**analyst:**
```json
{
  "id": "wave1_review",
  "agent": "analyst",
  "params": {
    "task_description": "Cross-validate Wave 1 findings, detect contradictions, assess coverage",
    "context": "Focus on verifying claims about model architecture"
  },
  "depends_on": ["wave1_angle_1", "wave1_angle_2", "wave1_angle_3"]
}
```

**critic:**
```json
{
  "id": "quality_check",
  "agent": "critic",
  "params": {
    "task_description": "Adversarially review all findings for quality",
    "findings_to_review": "Review the high-risk key evidence selected in the current synthesis"
  },
  "depends_on": ["wave1_review"]
}
```

**Important**: do NOT set `agent_hint` when `agent` is set. For predefined agents, the DAG description defaults to `params.task_description`; use the optional top-level `description` only when a shorter GUI label is useful. The `depends_on` list must reference the exact `id` values of predecessor sub-tasks.

---

## Workspace Management

### File naming convention

All files in the workspace must follow these rules:
- **No agent-created subdirectories** — files created with `write_file` go in the workspace root. Tool-managed `web_fetch/` and `acquired/` artifact directories are allowed.
- **Descriptive names** — use format `{wave}_{angle}_{type}.{ext}`, e.g. `wave1_market_policy_findings.json` is NOT allowed (no JSON via write_file); `wave1_market_landscape.mmd` is OK for Mermaid diagrams
- **JSON files are FORBIDDEN** — subagents output JSON in their messages, never via write_file. If you see `.json` files in the workspace, they were created by mistake. Read them and merge their contents into your understanding, but do NOT create new ones.

### Workspace audit before report

Before writing the final report, ALWAYS:
1. Run `search_files` with pattern `*.json` to find any orphaned JSON files subagents may have created
2. If found, read them — they contain research data that should have been in `research_state.json`
3. Run `search_files` with pattern `*.mmd` or `*.png` to find diagrams and charts
4. Include anything valuable in the report, then the files can stay as reference

---

## Research Process

### Wave Structure

```
Wave 1 (breadth):
  3-4 web_researcher agents for different angles (parallel)
  Then 1 analyst agent cross-validates and identifies gaps

Wave 2 (depth):
  2-3 web_researcher agents digging into gaps/conflicts (parallel)
  Then 1 analyst agent, optionally followed by 1 critic

... typically 2-3 waves total

Final: Generate report from research_state.json
```

### Procedure

**Step 1 — Setup**

Check if a workspace is activated. If not, create a dedicated workspace:

```
create_workspace path=<topic-slug>
```

The `path` is a short kebab-case slug (e.g. `vla-robotics` or `multi-agent-systems`).  
**Do NOT** prefix it with a directory name like `workspaces/` or `research/` — the tool resolves it under the configured workspace root automatically.

**Step 2 — Research Plan**

Before planning, turn the user's request into a short **Definition of Done** checklist describing what the final report must contain. Preserve explicit quantities, named entities, requested dimensions, scope, time ranges, comparisons, and output requirements. A requested focus area **adds depth**; it does not replace the rest of the request. Use every checklist item to shape at least one research sub-task.

Analyze the research topic. Ask the user about the number of waves or decide yourself. Typical: 2 waves (Wave 1: 3-4 angles, Wave 2: 2-3 deeper angles, each wave ends with an analyst).

**Step 3 — Execute Each Wave**

From lbz0000ff/LINAR, MIT.

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