learning-harvest

Solid

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', or 'operational learnings'.

AI & Automation 134 stars 8 forks Updated 3 days ago MIT

Install

View on GitHub

Quality Score: 87/100

Stars 20%
71
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Learning Harvest ## Purpose Standards define how a team intends to work. Operational learnings capture what the team discovers while doing the work — experiential knowledge that only emerges from practice. This atom helps the user curate a single living document of cross-cutting project patterns. The AI synthesizes and proposes; the user decides what enters. Every entry is user-confirmed. Not a log. Not a report. Not auto-generated. A user-curated collection of experiential patterns. ## Scope Boundary Operational learnings are NOT rules. They are what you learn while applying rules. | Standards (refiner output, atom defaults) | Operational Learnings (this document) | |---|---| | "Domain layer must not import from infrastructure" | "When adding a new aggregate, we keep forgetting to define the repository interface first — design interface before implementation" | | "Functions should have single responsibility" | "Service classes that start small grow past 500 lines within 3 features — split by command type proactively at ~200 lines" | | "Value objects must validate in constructor" | "Date range VOs without explicit inclusive/exclusive documentation cause boundary bugs every time — document semantics alongside validation" | **The standard is the rule. The operational learning is what we discovered while applying the rule on this project.** If an entry reads like a rule that should always be followed, it belongs in a standards document (run the relevant refiner). If it...

Details

Author
techygarg
Repository
techygarg/lattice
Created
3 months ago
Last Updated
3 days ago
Language
Shell
License
MIT

Related Skills