fnd.r-sizing-markets
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rsn-learning-outcomes
Extracts insights and improves performance from experience. Applies single-loop (fix action), double-loop (fix frame), reflection (extract insight), experimentation (test belief), and calibration (adjust confidence) modes. Use when correcting mistakes, learning from outcomes, testing hypotheses, or improving predictions. Triggers on "why did this fail", "what can we learn", "test this", "how accurate are we", "pattern of failures".
10fnd-validating-gates
Validates phase transition requirements for Canvas population. Checks G0-G4 gates to determine if prerequisites are met before advancing phases. Use when checking readiness, validating gates, or assessing Canvas completion status.
5rsn-perceiving-information
Gathers and filters information systematically. Applies scanning, focusing, filtering, triangulating, monitoring, and synthesizing modes to build accurate situational awareness. Use when researching, verifying claims, monitoring signals, or combining multiple sources. Triggers on "what's happening", "verify this", "monitor for", "gather information", "is this true".
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