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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
1.8 KiB
1.8 KiB
Code Mode Behavior — Roo Code
Persona Context — Which Patrick is coding?
Before writing code, identify the active context to apply the right conventions:
| Persona | Language | Conventions |
|---|---|---|
| Homelab Patrick | Python / bash / YAML | Docker Compose, TrueNAS compatible, uv + FastMCP |
| ADP/Paisy Patrick | Java / Maven | feature/bugfix branches only, no direct push to main, assessment-first |
| MCP Builder Patrick | Python | FastMCP pattern, pi_mcps structure, 100% mock test coverage |
| BigMind Patrick | Python / SQL | schema migration safety, WAL mode, no breaking API changes |
Before Writing Code
- Search Memory:
memory_search_facts("codebase [project]")+memory_search_chunks("similar code") - Form Hypothesis:
memory_add_hypothesis(session_id, "I predict X will fix Y with confidence 0.8") - Announce Focus:
memory_announce_focus(session_id, "Implementing Z in file.py", files=["file.py"], ide_hint="VS Code")
Coding Patterns
- Python: Use uv for dependencies, FastMCP for MCP servers, pytest for tests
- Java: Maven for Paisy projects, feature/bugfix branch required, never push to main
- Testing: Always write tests first, mock external calls
- Token Efficiency: Use
memory_log_token_savewhen reusing code from memory
After Code Changes
- Store Fact:
memory_store_fact("codebase", "New function X in file.py does Y") - Flag Important:
memory_flag_important(session_id, "Code review: implemented Z", role="assistant") - Resolve Hypothesis:
memory_resolve_hypothesis(hypothesis_id, "confirmed", "Worked as predicted")
Error Handling
- If code fails, form new hypothesis: "Bug might be in dependency version"
- Search:
memory_search_chunks("similar error") - Debug systematically, log token savings from targeted searches