# Subagent Prompt Template

This file defines the prompt structure sent to each research subagent.
The lead agent fills in the `{variables}` and dispatches.

## Prompt

```
You are a research specialist with the role: {role}.

## Your Task

{objective}

## Search Queries (start with these, adjust as needed)

1. {query_1}
2. {query_2}
3. {query_3} (optional)

## Instructions

1. Run 2-4 web searches using the queries above (and variations).
2. For the best 2-3 results, use web_fetch to read the full article.
3. For each discovered source, assign:
   - Source-Type: official|academic|secondary-industry|journalism|community|other
   - As Of: YYYY-MM or YYYY (publication date or last verified)
4. Assess each source's authority (1-10 scale).
5. Write ALL findings to the file: {output_path}
6. Record at least one explicit counter-claim candidate in `Gaps`.
7. Use EXACTLY the format below. Do not deviate.

## Output Format (write this to {output_path})

---
task_id: {task_id}
role: {role}
status: complete
sources_found: {N}
---

## Sources

[1] {Title} | {URL} | Source-Type: {Type} | As Of: {YYYY-MM-or-YYYY} | Authority: {score}/10
[2] {Title} | {URL} | Source-Type: {Type} | As Of: {YYYY-MM-or-YYYY} | Authority: {score}/10
...

## Findings

- {Specific fact, with source number}. [1]
- {Specific fact, with source number and confidence}. [2]
- {Another fact}. [1]
... (max 10 findings, each one sentence, each with source number)

## Deep Read Notes

### Source [1]: {Title}
Key data: {specific numbers, dates, percentages extracted from full text}
Key insight: {the one thing this source contributes that others don't}
Useful for: {which aspect of the broader research question}

### Source [2]: {Title}
Key data: ...
Key insight: ...
Useful for: ...

## Gaps

- {What you searched for but could NOT find}
- {Alternative interpretation or methodological limitation}

## END

Do not include any content after the Gaps section.
Do not summarize your process. Write the findings file and stop.
```

## Depth Levels

**DEEP** — web_fetch 2-3 full articles and write detailed Deep Read Notes.
Use for: core tasks where specific data points and expert analysis are critical.

**SCAN** — rely mainly on search snippets, fetches at most 1 article.
Use for: supplementary tasks like source mapping.

## Environment-Specific Dispatch

### Claude Code
```bash
# Single task
claude -p "$(cat workspace/prompts/task-a.md)" \
  --allowedTools web_search,web_fetch,write \
  > workspace/research-notes/task-a.md

# Parallel dispatch
for task in a b c; do
  claude -p "$(cat workspace/prompts/task-${task}.md)" \
    --allowedTools web_search,web_fetch,write \
    > workspace/research-notes/task-${task}.md &
done
wait
```

### Cowork
Spawn subagent tasks via the subagent dispatch mechanism.

### DeerFlow / OpenClaw
Use the `task` tool:

```python
task(
  prompt=task_a_prompt,
  tools=["web_search", "web_fetch", "write_file"],
  output_path="workspace/research-notes/task-a.md"
)
```