dmzoneill Research Topic
Deep dive on a topic using internal and external sources. Searches codebase, memory, project knowledge, and optionally the web.
Inputs
| Input | Type | Default | Purpose |
|---|---|---|---|
topic |
string | required | Topic to research (e.g., "pytest fixtures", "Redis caching") |
project |
string | auto | Project to search (from config) |
depth |
string | "normal" | "quick" (code only), "normal" (code + memory), "deep" (all sources) |
focus |
string | - | Specific aspect (e.g., "performance", "security") |
Workflow
1. Detect Project
- If
projectempty: infer from cwd via config repositories; defaultautomation-analytics-backend
2. Search Codebase
code_search(query=topic + focus, project=project, limit=10)- Parse results into file paths, scores, previews
3. Check Memory (depth != "quick")
memory_read("learned/patterns")- Filter patterns relevant to topic/focus
4. Query Project Knowledge (depth != "quick")
knowledge_query(project=project, section="architecture")knowledge_query(project=project, section="patterns")knowledge_query(project=project, section="gotchas")
5. Optional External Search
- For "deep" or when internal sources insufficient:
WebSearchfor external docs
6. Build Summary
Output markdown with:
- Code Found: file list with previews
- Past Learnings: relevant patterns from memory
- Architecture Context: from knowledge
- Coding Patterns and Gotchas
- Next Steps: explain_code, plan_implementation, persona_load("developer")
7. Log
memory_session_log("Researched: {topic}", "Project: {project}, Depth: {depth}")
Key MCP Tools
code_search— semantic code searchmemory_read— learned patternsknowledge_query— architecture, patterns, gotchasmemory_session_log— session loggingWebSearch— external documentation (optional)