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Investigate a topic in depth, find sources, and synthesize findings.
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Basierend auf der SOC-Berufsklassifikation
Deep reference on agent plane config format, executor types, skill/tool structure, and conventions. Load when you need to look up how the platform works.
Patterns and templates for generating valid agent plane agent directories. Load when ready to create files.
Build terminal REPLs for agent-plane using the Python UI SDK. Use when the user asks about building a REPL, terminal chat, or CLI frontend for an agent.
Deploy agent-plane to Databricks Apps with Lakebase and UC Volumes. Use when setting up infrastructure, deploying, redeploying, troubleshooting, or connecting to a remote agent-plane instance on Databricks.
Detect Python agent frameworks from code imports and map them to agent plane executor types. Load when the user has existing agent code to integrate.
Systematically diagnose and fix bugs using logs, stack traces, and targeted investigation.
| name | deep-research |
| description | Investigate a topic in depth, find sources, and synthesize findings. |
When researching a topic:
Format your research as:
## Summary
One-paragraph overview of what you found.
## Key Findings
- Finding with source/citation
- Finding with source/citation
## Open Questions
- What remains unclear or contested.