Reason from first principles to establish truth and needs in complex problems.
npx skills add https://github.com/tesserine/groundwork --skill reckon
Please help me install this Agent Skill. Skill: reckon Source: https://github.com/tesserine/groundwork/tree/main/skills/reckon Command: npx skills add https://github.com/tesserine/groundwork --skill reckon
First-principles cognitive discipline — position and reasoning as one act. Use when creating specs, architectures, processes, solutions, or methodologies. Use when analyzing costs, structures, strategies, or decisions. Use when reframing problems. Use before accepting any frame, cost, constraint, or convention without verification. Establishes what is actually needed and what is true (position), then reasons forward from verified constraints and navigational principles with every inference earning its chain (momentum). Dead reckoning: advance from an established fix using trusted constants.
Orient the problem, decompose constraints, verify them, reconstruct a solution, and trace every inference to ground or principle.
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First-principles reasoning decomposes a problem into verified ground truths and constraints, reconstructing an architecture through explicit, traceable inferences to prevent logical drift and ensure defensible design.
Establish ground truth by orienting the problem, verifying every constraint, and reconstructing solutions using trusted constants, ensuring every inference links back to a verified principle or ground fact.
Traceability of inferences is enforced by linking every reasoning step back to a verified ground truth or navigational principle, preventing undocumented assumptions from entering your specs and methodologies.
You need first-principles reasoning for cost analysis and decision-making when reframing complex problems or verifying constraints, ensuring your conclusions are built on verified facts rather than unchallenged conventions.
Grounded reasoning is designed to verify constraints and challenge conventions by decomposing them into foundational truths, allowing you to reject any frame or limitation that cannot be verified against ground reality.
This methodology applies across software architecture, cost analysis, and problem framing by establishing what is actually needed, then reasoning forward from verified constraints to produce a complete ground-to-conclusion chain.
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