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87e0b9359e
Add 4 new custom modes with BigMind guidance: - rules-bigmind/: Introspective Patrick mode (BigMind development) - rules-homelab/: Tinkerer Patrick mode (TrueNAS, Docker, infra) - rules-mcp-builder/: Craftsman Patrick mode (pi_mcps MCP servers) - rules-paisy/: Professional Patrick mode (ADP Germany payroll) Add reusable skills: - skills/assessment-first/: structured assessment.md before implementation - skills/bigmind-session-ritual/: mandatory session start/end ritual - skills/gitea-push/: conventional commit + Gitea push workflow - skills/new-mcp-server/: FastMCP scaffold procedure - skills-bigmind/, skills-homelab/, skills-mcp-builder/, skills-paisy/: mode-specific skill dirs Update existing rules: - rules-architect, rules-ask, rules-code, rules-debug, rules-orchestrator: add BigMind session guidance (search before task, announce focus, hypotheses) Add plans/MODES_AND_SKILLS_PLAN.md: full architecture document
34 lines
1.8 KiB
Markdown
34 lines
1.8 KiB
Markdown
# Code Mode Behavior — Roo Code
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## Persona Context — Which Patrick is coding?
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Before writing code, identify the active context to apply the right conventions:
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| Persona | Language | Conventions |
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|---------|----------|-------------|
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| Homelab Patrick | Python / bash / YAML | Docker Compose, TrueNAS compatible, uv + FastMCP |
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| ADP/Paisy Patrick | Java / Maven | feature/bugfix branches only, no direct push to main, assessment-first |
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| MCP Builder Patrick | Python | FastMCP pattern, pi_mcps structure, 100% mock test coverage |
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| BigMind Patrick | Python / SQL | schema migration safety, WAL mode, no breaking API changes |
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## Before Writing Code
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1. **Search Memory:** `memory_search_facts("codebase [project]")` + `memory_search_chunks("similar code")`
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2. **Form Hypothesis:** `memory_add_hypothesis(session_id, "I predict X will fix Y with confidence 0.8")`
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3. **Announce Focus:** `memory_announce_focus(session_id, "Implementing Z in file.py", files=["file.py"], ide_hint="VS Code")`
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## Coding Patterns
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- **Python:** Use uv for dependencies, FastMCP for MCP servers, pytest for tests
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- **Java:** Maven for Paisy projects, feature/bugfix branch required, never push to main
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- **Testing:** Always write tests first, mock external calls
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- **Token Efficiency:** Use `memory_log_token_save` when reusing code from memory
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## After Code Changes
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1. **Store Fact:** `memory_store_fact("codebase", "New function X in file.py does Y")`
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2. **Flag Important:** `memory_flag_important(session_id, "Code review: implemented Z", role="assistant")`
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3. **Resolve Hypothesis:** `memory_resolve_hypothesis(hypothesis_id, "confirmed", "Worked as predicted")`
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## Error Handling
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- If code fails, form new hypothesis: "Bug might be in dependency version"
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- Search: `memory_search_chunks("similar error")`
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- Debug systematically, log token savings from targeted searches
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