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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
68 lines
2.1 KiB
Markdown
68 lines
2.1 KiB
Markdown
---
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name: bigmind-health
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description: 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.
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---
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# BigMind Health Check
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## When to use
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- Start of a BigMind development session
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- Sessions appear orphaned or counts look wrong
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- DB feels slow or bloated
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- Monthly maintenance
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## When NOT to use
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- Normal work sessions (health check is optional unless something seems wrong)
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## Workflow
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### Step 1 — Get system stats
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```
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memory_get_stats()
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```
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Check: session count, fact count, chunk count, DB size. Flag anything that looks anomalous.
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### Step 2 — Run health check
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```
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memory_health_check(stale_days=30)
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```
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Returns: stale facts, orphaned sessions, schema version, test status.
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### Step 3 — Close stale sessions
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```
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memory_close_stale_sessions(session_id="{current_session_id}")
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```
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Closes all sessions except the current one that have been inactive for >2 hours.
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### Step 4 — Vacuum (if needed)
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Run if DB is large or chunks are old:
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```
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memory_vacuum(older_than_days=90)
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```
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Removes conversation chunks older than 90 days. Facts and session summaries are preserved.
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### Step 5 — Review open hypotheses
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```
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memory_list_hypotheses(status="open")
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```
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For each open hypothesis:
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- Is it still relevant?
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- Can it be resolved now?
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- Is confidence still accurate?
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Resolve stale ones:
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```
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memory_resolve_hypothesis(hypothesis_id="{id}", status="abandoned", resolution="No longer relevant — context changed.")
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```
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### Step 6 — Report status
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Summarize findings:
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```
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memory_store_fact("environment-config", "BigMind health check {date}: {N} sessions, {N} facts, {N} chunks. Schema v{N}. All OK / Issues found: [list].")
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```
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## Troubleshooting
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- **DB locked:** Another IDE has BigMind open. Check `memory_get_active_sessions()` first
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- **Vacuum fails:** WAL checkpoint may be pending — try `PRAGMA wal_checkpoint(TRUNCATE)` via direct SQLite if needed
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- **Health check shows schema mismatch:** Run migrations manually via BigMind restart
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