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principle-boundary-discipline

principle-boundary-discipline

github.com/hachejDevelopment160 installsUpdated 1d ago
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About principle-boundary-discipline

A development skill for organizing validation, error handling, and business logic around system boundaries. It favors pure functions for domain logic and thin framework or command-line shells.

Key features

  1. 01Validate at system boundaries
  2. 02Keep internal code typed
  3. 03Use pure business logic
  4. 04Separate domain concepts from transport

Use cases

  1. 01Designing input parsing and validation
  2. 02Refactoring framework-dependent logic
  3. 03Reviewing redundant defensive checks

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/hachej/boring-stack --skill principle-boundary-discipline

After installing, type/principle-boundary-disciplinein Claude Code to confirm it loaded.

Bundled filesLICENSE

Details

From the project README

Boundary Discipline

Place validation, type narrowing, and error handling at system boundaries. Trust internal code unconditionally. Business logic lives in pure functions. The shell is thin and mechanical.

Why: Scattered validation is noisy, redundant, and gives a false sense of safety. Keep logic out of framework wiring so it can be tested without the framework.

The pattern:

  • At boundaries (CLI args, config files, external APIs, network protocols): validate, return errors, handle defensively.
  • Inside the system: typed data, error propagation, no re-validation. Trust the types.
  • Across the boundary. Expose domain concepts, not the boundary's private representation. Keep general-purpose mechanism inside and special-purpose policy at the edge.

Applications:

Validation and error handling:

  • Validate config at parse time (the boundary), not inside business logic
  • Parse raw data into domain types at the boundary
  • Do not re-export transport, storage, framework, or wire types through the public surface
  • No redundant nil checks deep in call chains if the boundary already validated

Code organization:

  • Business logic in pure functions with no framework dependencies
  • Parse functions: pure transforms from raw bytes to typed state
  • Prompt construction: structured state in, string out
  • Scoring and assessment: pure transforms from state to results

The tests:

  • "Is this data crossing a system boundary right now?" If not, validation is redundant.
  • "Can this be a pure function that the shell just calls?" If yes, extract it.

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