/request-research
Ask the researcher to investigate a specific topic
How it fires
How this command gets triggered: by you, by Claude, or both.
- Fires itselfClaude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/request-research
Context preview
What this command does when you run it.
Ask the researcher to investigate a specific topic
Command definition
request-research.mddescription: Ask the researcher to investigate a specific topic
allowed-tools: Read, Bash, Glob, mcp__trinity__list_agents, mcp__trinity__chat_with_agent
Request Research
Ask the researcher agent to investigate a specific topic.
Context
The user will provide a topic after this command, like:
- `/request-research AI agents for content creation`
- `/request-research competitor analysis for [company]`
- `/request-research emerging trends in [industry]`
Steps
1. **Parse the Request**
- Extract the topic from the user's input
- Formulate a clear research request
2. **Find the Researcher Agent**
- List available agents: `mcp__trinity__list_agents()`
- Look for an agent with "researcher" in the name
- Common names: `research-network-researcher` (system manifest) or `researcher` (individual)
3. **Check Current Findings (Optional)**
- List shared-in folder: `ls /home/developer/shared-in/`
- Quickly scan existing findings to avoid duplicate research
- Mention if related research already exists
4. **Call the Researcher** Use the Trinity MCP tool to request research:
mcp__trinity__chat_with_agent(
agent_name="[RESEARCHER_AGENT_NAME]", # Use actual name from step 2
message="/research [TOPIC]"
)5. **Report Status**
- Confirm the research request was sent
- Explain that findings will appear in the shared folder
- Suggest checking back or running `/briefing` after research completes
Output Format
## Research Request Submitted
**Topic**: [requested topic]
**Sent to**: [researcher agent name]
**Status**: Request delivered
### What Happens Next
1. The researcher agent will investigate the topic
2. Findings will be saved to the shared folder
3. Run `/briefing` to see synthesized results
### Related Existing Research
[If any relevant findings already exist, mention them]
Process the research request now.
Read more
description: Ask the researcher to investigate a specific topic allowed-tools: Read, Bash, Glob, mcp__trinity__list_agents, mcp__trinity__chat_with_agent
Request Research
Ask the researcher agent to investigate a specific topic.
Context
The user will provide a topic after this command, like:
- `/request-research AI agents for content creation`
- `/request-research competitor analysis for [company]`
- `/request-research emerging trends in [industry]`
Steps
1. **Parse the Request**
- Extract the topic from the user's input
- Formulate a clear research request
2. **Find the Researcher Agent**
- List available agents: `mcp__trinity__list_agents()`
- Look for an agent with "researcher" in the name
- Common names: `research-network-researcher` (system manifest) or `researcher` (individual)
3. **Check Current Findings (Optional)**
- List shared-in folder: `ls /home/developer/shared-in/`
- Quickly scan existing findings to avoid duplicate research
- Mention if related research already exists
4. **Call the Researcher** Use the Trinity MCP tool to request research:
mcp__trinity__chat_with_agent(
agent_name="[RESEARCHER_AGENT_NAME]", # Use actual name from step 2
message="/research [TOPIC]"
)5. **Report Status**
- Confirm the research request was sent
- Explain that findings will appear in the shared folder
- Suggest checking back or running `/briefing` after research completes
Output Format
## Research Request Submitted **Topic**: [requested topic] **Sent to**: [researcher agent name] **Status**: Request delivered ### What Happens Next 1. The researcher agent will investigate the topic 2. Findings will be saved to the shared folder 3. Run `/briefing` to see synthesized results ### Related Existing Research [If any relevant findings already exist, mention them]
Process the research request now.
Self-hosted AI Agents Platform supporting Claude Code, Codex, Gemini agents. Apache 2.0.
Repo: Abilityai/trinity
Other commands on trinity.
- /ask
Answer a strategic question using accumulated research
Open command - /briefing
Generate daily briefing from research findings
Open command - /opportunities
List and rank all identified opportunities
Open command - /research
Run a research cycle on trending topics
Open command - /status
Report on recent research activity and findings count
Open command - /analyze
Conduct strategic analysis of a question or situation
Open command

