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minni
minni contient 9 skills collectées depuis infektyd, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
Use when installing, setting up, repairing, or verifying Minni on the platform you are running in (Claude Code, Codex, Gemini, Grok, KiloCode, or a generic MCP host) — plugin install, per-agent vaults, Layer 1 identity/envelope delivery, MCP wiring, socket/daemon hydration, and drift repair. Formerly named minni-propagation.
Run Minni consolidation pipeline, troubleshoot configuration errors, generate health reports. Handles --limit parameter, timeout diagnostics, and database queries.
Use when a Minni install misbehaves or its health is unknown — diagnose daemon/socket/DB, vault, plugin/MCP wiring, per-platform hooks, identity Layer 1, inbox lifecycle, correction re-injection, model providers, and plan injection. Doctor diagnoses and routes; minni-install repairs.
Development reference for the Minni engine (v3.1/v3.2). Use when modifying the memory system's extraction, reranking, consolidation, or retrieval pipelines.
Use when the user asks the agent to recall, learn, write, audit, or operate through Minni, when a task likely benefits from prior local memory, or when the user asks what Minni is or how to work with it. Works across Claude Code, Codex, Gemini, Grok, KiloCode, Hermes, and OpenClaw. Default automatic behavior is recall-only; do not learn unless explicitly requested.
Use when the user asks the agent to recall, learn, write, audit, or operate through Minni, or when a task likely benefits from prior local memory. Default automatic behavior is recall-only; do not learn unless explicitly requested.
Use when the user asks Gemini to recall, learn, write, audit, or operate through Sovereign Memory, or when a task likely benefits from prior local memory. Default automatic behavior is recall-only; do not learn unless explicitly requested.
Automated health monitoring for Minni consolidation pipeline. Quick status checks, alerts, and diagnostics for cron jobs and routine monitoring. Detects stalled processes, stale locks, model server issues, and database anomalies.
Ingest content into Minni: auto-index new docs via Apple FM fact_extract into ~/wiki/auto-indexed/, and ingest LLM Wiki pages with agent-optimized enrichment (frontmatter metadata, wikilink graph extraction, source provenance tagging). Use when setting up, maintaining, or running the auto-indexing pipeline or wiki-aware Minni ingestion.