principle-foundational-thinking

Featured

Apply before writing logic: choosing core types and data structures, sequencing scaffold-vs-feature work, asking what concurrent actors share. Get the data structures right so downstream code becomes obvious.

AI & Automation 333 stars 40 forks Updated 2 days ago MIT

Install

View on GitHub

Quality Score: 91/100

Stars 20%
84
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
61
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Foundational Thinking **Structural decisions** protect option value. **Code-level decisions** protect simplicity. **Data structures first.** Get the data shape right before writing logic. Define core types early, trace every access pattern, and choose structures that match the dominant paths. At code level, DRY the structure, not every line. Types and data models should converge. Three similar statements still beat a premature abstraction. Prefer explicit over clever. Test behavior and edge cases, not line counts. **Concurrency corollary.** Before sharing state between actors, ask "what happens if another actor modifies this concurrently?" If not "nothing", isolate. **Scaffold first.** If something helps every later phase, do it first. Ask "does every subsequent phase benefit from this existing?" CI, linting, test infrastructure, and shared types are scaffold. Sequence for option value: setup before features, tests before fixes. Keep commits small and single-purpose. Each increment should land a coherent abstraction or deepen one that exists. Do not spread a new capability across callers as special-case coordination. Subtraction comes before scaffolding: remove dead code first, then lay foundations.

Details

Author
michael-denyer
Repository
michael-denyer/pstack-claude
Created
3 months ago
Last Updated
2 days ago
Language
TypeScript
License
MIT

Integrates with

Similar Skills

Semantically similar based on skill content — not just same category