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techygarg/lattice

v2.1.0MIT

Composable AI skills framework covering the full software delivery lifecycle — design, architecture, implementation, testing, and review.

learning-harvest

Manage the operational learnings lifecycle — load prior learnings to inform current work, harvest new patterns worth preserving, and keep the document tight over time. Provides a protocol for accumulating actionable patterns from practice that complement standards and defaults. Use when a workflow session completes and produced insights worth persisting, when starting a session that should benefit from prior patterns, or when the user says 'harvest learnings', 'what have we learned', 'capture this pattern', 'tighten learnings', 'compress learnings', or 'operational learnings'.

Read SKILL.md at the source

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