en un clic
planning-style
// Produce an implementation plan with a functional-leaning, idiomatic style mindset; prefers lightweight data structures over dataclasses/pydantic unless justified.
// Produce an implementation plan with a functional-leaning, idiomatic style mindset; prefers lightweight data structures over dataclasses/pydantic unless justified.
Use when AI-generated or AI-modified changes need a Code Health gate before commit, handoff, or pull request.
Run linting and unit tests against the current repository, auto-discovering the correct commands from Justfile, Makefile, pyproject.toml, or package.json.
Create a conventional commit from staged changes, with a diff-derived description body.
Reliably obtain a non-empty unified git diff for the current branch using safe fallbacks (origin/HEAD...HEAD, origin/main...HEAD, origin/master...HEAD) and return structured JSON containing the diff and the command used.
Coding style policy for generated code: prefer idiomatic language conventions with a functional-leaning approach (pure-ish functions, composability), and prefer lightweight data structures over heavy schema/class abstractions unless clearly justified.
| name | planning-style |
| description | Produce an implementation plan with a functional-leaning, idiomatic style mindset; prefers lightweight data structures over dataclasses/pydantic unless justified. |
Produce an implementation plan with a functional-leaning, idiomatic style mindset; prefers lightweight data structures over dataclasses/pydantic unless justified.
STYLE MINDSET (REQUIRED):
Load the fp-idiomatic-style skill via eca__skill before writing the plan.
Apply it as a design constraint (architecture and data flow), not as code-generation.
PLANNING OUTPUT: The plan should include:
RULES: