Convert a new source into deterministic manifest, extracted text/chunks, normalized event, contextual LLM plan, and PR-ready ingestion proposal without writing canonical memory directly.
Single entry skill to set up AND operate a Markdown/Git living operational wiki (the "wiki viva kit") — configure wiki.config.yaml, scaffold or adopt the tree, ingest sources through the deterministic pipeline, run the delegated LLM deep read, keep the honesty gates green, compile the daily cockpit, and ship changes through the PR gate. Install this one skill to adopt and run the whole system; it points to the deeper per-step playbooks when you need them.
Generic router for Markdown/Git living-wiki repos that use memories/, docs/references/, wiki.config.yaml, wiki_core, PR gates, source manifests, normalized ingestion events, and operation cockpit pages.
Run the deep contextual reading (LLM pass) over the chunks selected by wiki_core, write the result to the cache, and then consolidate and INTEGRATE what was read into the target wiki pages (ingesting = integrating). The intelligence lives in the agent that runs the repo (Claude/Codex/Gemini), not in a Python LLM client.
Compile or review the living-wiki operation cockpit with current Git state, pending decisions, agent actions, source queues, stale contexts and validation links.
Audit source traceability, manifests, extracted text, chunks, indexes, LLM cache metadata, Markdown links and access-secret exclusions in a portable wiki repo.
Separate private operational memory from public derivatives, allowing useful private context in private repos while blocking secrets and unsafe publication.
Fetch and download RAW sources (statements, invoices, documents) from a single Google Drive folder into the local raw cache, without versioning PII in git. Centralizes raw in Drive and keeps the repo lightweight.