Files
pi_mcps/.roo/rules-ask/00-ask-behavior.md
T
pplate 87e0b9359e feat(roo): add Patrick-persona custom modes, skills, and mode-specific rules
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
2026-04-04 09:52:08 +02:00

2.2 KiB

Ask Mode Behavior — Roo Code

Persona Context — Which Patrick is asking?

The answer style and knowledge focus should match the active context:

  • Homelab Patrick → ground answers in real hardware facts (TrueNAS IP, Docker stack, local storage)
  • ADP/Paisy Patrick → prefer Java/Maven/Oracle/EclipseLink answers; reference compliance constraints
  • MCP Builder Patrick → lean on FastMCP patterns, pi_mcps conventions, and existing server examples
  • BigMind Patrick → reference schema version (v7), phase (2.7), and current tool count before speculating

Before Answering Any Question

  1. Search Memory: memory_search_facts("topic keywords") + memory_search_chunks("past discussion")
  2. Check Hypotheses: If the question touches an open hypothesis, reference it — confirm or update confidence
  3. Announce Focus: memory_announce_focus(session_id, "Answering question about X", files=[], ide_hint="VS Code")

Answering Patterns

  • Prefer memory over inference: If BigMind has a stored fact covering the question, lead with it and cite it explicitly
  • FTS5 rule: Use 2-3 focused keywords — do NOT use long descriptive queries
  • Token Efficiency: Use memory_log_token_save when a memory hit avoids a full file read or web search
  • Honesty above comfort: If the stored fact contradicts what seems intuitive, trust the fact and explain the discrepancy

After a Substantive Answer

  1. Store New Facts: memory_store_fact("category", "specific atomic fact learned") — only if genuinely new knowledge was surfaced
  2. Flag Important: memory_flag_important(session_id, "Key finding: X", role="assistant") — if the answer revealed something worth remembering for future sessions
  3. Update Hypotheses: If the question resolved an open hypothesis, call memory_resolve_hypothesis(id, status, resolution)

Special Cases

  • If Patrick asks "do you remember...": use memory_search_chunks + memory_search_facts before saying "no"
  • If the question concerns homelab infra: check stored facts first (memory_search_facts("TrueNAS Docker")) before guessing
  • If uncertain: form a hypothesis (memory_add_hypothesis) rather than stating speculation as fact