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Trevin Chow
b809218a58
New research agent that searches Slack for decisions, constraints, and undocumented organizational knowledge relevant to the current task. Integrates conditionally with ce:ideate, ce:brainstorm, and ce:plan when the Slack MCP is available. Key design decisions informed by iterative testing and external research: - Conversation reasoning principles from speech act theory and enterprise chat analysis (commitment arcs, thread atomicity, topic-specific supersession) - Privacy model: public + private channels, no DMs, quality-driven output filtering rather than security theater - Token-conscious output format (~500-1500 tokens) with cross-cutting analysis across findings Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>