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// Work with the Brain institutional-memory template, including importing captures, validating quote evidence, writing knowledge, and reviewing proposals.
// Work with the Brain institutional-memory template, including importing captures, validating quote evidence, writing knowledge, and reviewing proposals.
| name | brain |
| description | Work with the Brain institutional-memory template, including importing captures, validating quote evidence, writing knowledge, and reviewing proposals. |
Use Brain actions rather than raw SQL.
get-brain-settings before answering, searching broadly, or distilling when current settings are not already in context. Apply the returned guidance for assistant name, company name, tone, source policy, citation requirements, publish tier, redaction, and distillation instructions.import-capture or import-transcript.enqueue-distillation when a capture needs distillation.get-capture and copy short exact quotes.write-knowledge with evidence entries whose quote fields are exact capture substrings.write-knowledge returns mode: "proposal", leave it in review unless the user asks to approve.Search starts with search-everything when available and uses search-knowledge for distilled knowledge only; there is no vector index. Follow sourcePolicy: strict means reviewed knowledge only, balanced means raw captures are labeled fallback context, and exploratory means raw captures and sources can be labeled leads.
For "ask across everything" requests, follow the ask-across-everything skill:
search Brain first, inspect federatedCoverage, delegate live/app-owned data
requests with call-agent, and never claim Brain searched sibling app databases
directly.
How to create new skills for an agent-native app. Use when adding a new skill, documenting a pattern the agent should follow, or creating reusable guidance for the agent.
How to delegate all AI work to the agent chat. Use when delegating AI work from UI or scripts to the agent, when a user asks for agent behavior or LLM-powered features, when tempted to add inline LLM calls, or when sending messages to the agent from application code.
How to write great agent instructions for an agent-native app or template: AGENTS.md, skills, and tool/action descriptions. Use when authoring or reviewing AGENTS.md, writing a SKILL.md, wording action descriptions, or deciding what belongs in instructions vs skills vs memory.
How to conduct ad-hoc analyses: gather data from multiple sources, synthesize findings, save reusable analysis artifacts that anyone can re-run for fresh results.
Use when an analytics question spans multiple data sources (e.g. warehouse events + CRM + support + first-party) and you must stitch identities, remove duplicates, and produce one consolidated answer with per-source provenance.
How analytics dashboards are stored, created, and modified. Covers SQL dashboard tables, legacy settings migration, valid panel sources, layout shape, and safe update patterns.