lukas-grigis

32 mods across 1 repository, 23 stars between them.

lukas-grigis/ralphctl

Skill Claude CodeCodex

Domain-modelling skill — align code with the business domain through ubiquitous language, bounded contexts, small aggregates, domain events, and core-domain focus. Use when naming concepts, drawing module or service boundaries, deciding entity vs value object, integrating external systems, or when the code no longer…

23 2d ago A 71 tokens original MIT

lukas-grigis/ralphctl

Skill Claude CodeCodex

Ideation skill — refine a raw, unshaped idea into a sharp, buildable concept through divergent expansion (variation lenses like inversion, simplification, audience shift) followed by convergent stress-testing (user value, feasibility, differentiation), ending in a one-pager with explicit assumptions and a "Not Doing"…

23 2d ago A 121 tokens original MIT

lukas-grigis/ralphctl

Skill Claude CodeCodex

Cross-phase skill — treat AI output as a controlled feedback loop, not a one-shot generation. Run the cheap check after each meaningful change; re-read your own output before signalling completion. For the fuller session workflow — plan-first sequencing plus durable learning capture — see the opt-in…

23 2d ago A 73 tokens original MIT

lukas-grigis/ralphctl

Skill Claude CodeCodex

Behavioural guardrails against four empirical LLM coding failure modes — silent assumptions, over-complication, orthogonal damage to code you don't fully understand, and declaring done without verification. Use when writing, reviewing, or refactoring code to surface assumptions early, keep changes proportionate to the…

23 2d ago A 115 tokens original MIT

lukas-grigis/ralphctl

Skill Claude CodeCodex

Cross-phase skill — question every piece of AI-workflow scaffolding on every model upgrade; remove non-load-bearing pieces one at a time with measurement. Complexity drifts upward by default; subtraction requires discipline. Governs scaffolding built around AI usage (prompts, wrapper scripts, guardrails, validation…

23 2d ago A 118 tokens original MIT

ralphctl-ponytail

30

lukas-grigis/ralphctl

Skill Claude CodeCodex

Anti-over-engineering ladder for choosing HOW to implement something — before writing custom code, climb the rungs in order and stop at the first that holds. Does this need to exist at all (YAGNI) → already in the codebase → standard library → native platform feature → already-installed dependency → one line → minimum…

23 2d ago A 116 tokens original MIT

lukas-grigis/ralphctl

Skill Claude CodeCodex

Execute-phase scope-containment checklist — write the minimum code the task needs and touch only the files and lines the task requires; surface out-of-scope findings as notes rather than fixing them inline. Governs the footprint of a change whose approach is already decided; for choosing that implementation approach…

23 2d ago A 82 tokens original MIT

lukas-grigis/ralphctl

Skill Claude CodeCodex

Execute-phase skill — write the failing test before the code that makes it pass; for bug fixes, this is the reproduction test itself. Use for any logic change, bug fix, or behavioural modification; for the full root-cause triage pipeline around an unexpected failure, see ralphctl-debugging-and-error-recovery.

23 2d ago A 72 tokens original MIT