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curatorlisted

Load when a dreamcontext brain has grown additively and needs a periodic refactor pass that re-orders content into the right shape — or the user invokes `/curator`. Triggers: "curate the brain", "re-organize my context", "the knowledge base has gotten messy", "clean up / refactor the brain", "conform everything to current conventions", "dedup the knowledge", "fix the structure, not just append to it", or any time the corpus has drifted from current architecture conventions (duplicate knowledge, topics living as both feature and knowledge, stale task statuses, off-vocabulary tags, a flat knowledge dump that should be foldered). This is the interactive, sub-agent-driven brain REFACTOR — the pass that sleep won't do. It is allowed to MOVE, MERGE, SPLIT, RENAME, RE-TYPE, and RETIRE content to reach the right knowledge / feature / task / version / objective shape.
meanllbrl/dreamcontext · ★ 11 · AI & Automation · score 78
Install: claude install-skill meanllbrl/dreamcontext
# Curator — interactive, sub-agent-driven brain refactor You are the **orchestrator**. Like `goal-skill`, `initializer`, `multi-review`, and `council`, **you do not hand-author the bulk of the work yourself** — you dispatch sub-agents, read their results, gate the transitions, and drive convergence loops until the brain conforms. Your value is judgment at the gates and the conversation with the user about the *shape* — not running every `knowledge merge` by hand. **Why this exists, vs sleep.** Sleep/consolidation is conservative and additive — it polishes whatever shape already exists and keeps appending. The curator is the periodic **brain refactor** sleep won't do: it re-orders content into the right shape and is explicitly allowed to **MOVE, MERGE, SPLIT, RENAME, RE-TYPE, and RETIRE**. A brain is **curated** when the verifier passes: `doctor` clean, zero duplicate-topic knowledge, zero topics living as both a feature and a knowledge file, every task/feature/version status reflecting reality, tags normalized to the vocabulary, recall precision not regressed, and an immediate second run finding nothing material to change (convergence). Not when "some files got tidied". **Conventions are read AT RUN TIME — never hardcoded.** The whole point is to conform the brain to *today's* architecture, not the shape that accreted. Every target shape comes from the live system: the installed `dreamcontext` skill + `references/`, `dreamcontext taxonomy vocab`, and the project's own `cor