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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

2.1 KiB

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name, description

name	description
bigmind-health	Runs a BigMind health check, closes stale sessions, vacuums old data, and reports system status. Use this skill at the start of a BigMind development session or when the system feels sluggish or has orphaned sessions.

BigMind Health Check

When to use

Start of a BigMind development session
Sessions appear orphaned or counts look wrong
DB feels slow or bloated
Monthly maintenance

When NOT to use

Normal work sessions (health check is optional unless something seems wrong)

Workflow

Step 1 — Get system stats

memory_get_stats()

Check: session count, fact count, chunk count, DB size. Flag anything that looks anomalous.

Step 2 — Run health check

memory_health_check(stale_days=30)

Returns: stale facts, orphaned sessions, schema version, test status.

Step 3 — Close stale sessions

memory_close_stale_sessions(session_id="{current_session_id}")

Closes all sessions except the current one that have been inactive for >2 hours.

Step 4 — Vacuum (if needed)

Run if DB is large or chunks are old:

memory_vacuum(older_than_days=90)

Removes conversation chunks older than 90 days. Facts and session summaries are preserved.

Step 5 — Review open hypotheses

memory_list_hypotheses(status="open")

For each open hypothesis:

Is it still relevant?
Can it be resolved now?
Is confidence still accurate?

Resolve stale ones:

memory_resolve_hypothesis(hypothesis_id="{id}", status="abandoned", resolution="No longer relevant — context changed.")

Step 6 — Report status

Summarize findings:

memory_store_fact("environment-config", "BigMind health check {date}: {N} sessions, {N} facts, {N} chunks. Schema v{N}. All OK / Issues found: [list].")

Troubleshooting

DB locked: Another IDE has BigMind open. Check memory_get_active_sessions() first
Vacuum fails: WAL checkpoint may be pending — try PRAGMA wal_checkpoint(TRUNCATE) via direct SQLite if needed
Health check shows schema mismatch: Run migrations manually via BigMind restart

2.1 KiB Raw Blame History