curator

Solid

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.

AI & Automation 10 stars 0 forks Updated today Apache-2.0

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Skill Content

# 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...

Details

Author
meanllbrl
Repository
meanllbrl/dreamcontext
Created
5 months ago
Last Updated
today
Language
TypeScript
License
Apache-2.0

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memory-curation

Promote any candidate into the unified memory layer at `.devt/memory/` — ephemeral DEC-xxx into permanent ADR-xxx, retro lesson drafts into LES-xxx, rejected ideas into REJ-xxx tombstones, or reviewing `_suggestions.md` proposals from the discovery engine. Trigger on 'promote this decision', 'capture as ADR/Concept/lesson', 'reject this idea, never suggest again', 'create tombstone', 'review memory suggestions', 'curator review', 'archive stale lesson', 'codify this rule', 'this should be permanent'. Single curation skill for ALL 5 doc types (decision, concept, flow, rejected, lesson). HARD INVARIANT — never writes a permanent `.devt/memory/**/*.md` file without explicit user approval via AskUserQuestion.

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dreamcontext-deep-research

Load when a question needs synthesis across a LARGE or MULTI-PROJECT dreamcontext corpus — more than `dreamcontext-explore` can answer in a single fast pass — or the user invokes `/dreamcontext-deep-research`. Triggers: "deep research the brain", "research this across my projects", "synthesize what we know about X across everything", "deep dive across the connected vaults", "explore is too shallow for this", "pull together everything on X and cite it", "cross-project / cross-corpus question", or any "tons of data, federated/tagged vault" question where one explore agent and one answer under-serves. This is the heavy, iterative, sub-agent-driven counterpart to `dreamcontext-explore`: it fans out searchers over the whole curated corpus (knowledge + features + tasks + memory + CHANGELOG + objectives) AND connected peer vaults, adversarially verifies the load-bearing claims, and returns a SYNTHESIZED, CITED report — not raw hits.

10 Updated today
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initializer

Load when a project's dreamcontext brain is missing or sparse and needs to be bootstrapped from real material — or the user invokes `/initializer`. Triggers: "initialize my brain", "set up dreamcontext from my docs", "ingest my notes / wiki / Obsidian / Notion export", "there's no _dream_context yet", "bootstrap the context from this folder", or any time you detect no/empty `_dream_context/` and the user has existing project material to ingest. This is the interactive, sub-agent-driven bootstrap — it migrates whatever the user has into the proper knowledge / feature / task hierarchy. It is the single bootstrap surface for dreamcontext; it also handles codebase-only repos (a light scout + ingest pass) and scales down to a trivial scaffold when there's nothing to ingest.

10 Updated today
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