laulauland/dotfiles/engineering-principles
Claude Code and agent skill by laulauland/dotfiles
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Execution principles for scoping, sequencing, debugging, and verifying engineering work. Use when planning or sizing a change, driving an autonomous run, deciding what done means, or auditing a codebase for architecture that should be deepened.
Install
npx vskill@latest install laulauland/dotfiles/engineering-principlesSKILL.md
Engineering Principles
These are execution principles: how to drive a piece of work from request to verified result. They are orthogonal to code-design taste. When a decision is about naming, types, modules, parsing, errors, or tests, that is the apply-coding-standards skill, and these files defer to it rather than restating it.
Each principle is one file with one idea. Read the leaf in full when it applies; this index is only the router. They are referenced by name, not invoked as commands, and they apply the same whichever harness is driving (Claude, Pi, Codex, Cursor).
How this relates to apply-coding-standards
apply-coding-standards answers "is this code well-designed?" These principles answer "am I working on it the right way?" Where they touch the same ground, the principle points at the standard:
- Verification of a finished task lives here (
PROVE_IT_WORKS.md); what a good test looks like lives in../apply-coding-standards/TESTING_AND_VERIFICATION.md. - Diff size and deletion bias live here; module and interface design lives in
../apply-coding-standards/DESIGNING_MODULES.md. - Target-state-not-migration sequencing lives here; the no-backwards-compat design rule lives in
apply-coding-standards's non-negotiables.
If a leaf ever duplicates a standard, cut the leaf down to the part the standard does not own.
Principles
Read the matching leaf before applying it.
| When you are... | Read... | |
|---|---|---|
| Refactoring, sizing a diff, or tempted to add a layer or thread a new signal through types | LAZINESS_PROTOCOL.md | |
| Sequencing an addition or rewrite and there is dead weight to remove first | SUBTRACT_BEFORE_YOU_ADD.md | |
| Reviewing code that is hard to trace; counting layers, hidden state, one-caller wrappers | MINIMIZE_READER_LOAD.md | |
| Doing any non-trivial or repeated work that a script, codemod, or generator could do and prove | BUILD_THE_LEVER.md | |
| Finishing a task and about to declare it done | PROVE_IT_WORKS.md | |
| Debugging a symptom and tempted to patch where it surfaced | FIX_ROOT_CAUSES.md | |
| Diagnosing a hard bug or performance regression without a reliable reproduction | DIAGNOSE_HARD_BUGS.md | |
| Stacking commits or PRs across a sweep or migration | SEQUENCE_VERIFIABLE_UNITS.md | |
| Context is filling with large outputs, long files, or fan-out planning | GUARD_THE_CONTEXT_WINDOW.md | |
| Tempted to ask "should I do X?" on reversible work | NEVER_BLOCK_ON_THE_HUMAN.md | |
| Facing a novel decision with no precedent in the codebase | EXHAUST_THE_DESIGN_SPACE.md | |
| About to write logic before settling the core data shapes | FOUNDATIONAL_THINKING.md | |
| Catching yourself writing the same instruction a second time | ENCODE_LESSONS_IN_STRUCTURE.md | |
| Auditing a codebase for shallow modules and deepening opportunities | ARCHITECTURE_AUDIT.md and ARCHITECTURE_REPORT.md |
Every principle in the table has its leaf file.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingshared/.agents/skills/engineering-principles/SKILL.md
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Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
- Claude Code
- Cursor
- GitHub Copilot
- Windsurf
- Codex
- Gemini CLI
- Cline
- Amp
- Roo Code
- Goose
- Continue
- Kilo Code
- Junie
- Trae
- OpenHands
- Qwen Code
- AI Agent
- Tabnine Chat
- Sourcegraph Cody
- Amazon Q
- Firebase Genkit
- Sweep
- Devin
- Phind
- Mentat
- Claude Desktop
- Aider
- GPT Pilot
- Plandex
- bolt.new
- v0
- Replit Agent
- Anse
- TypingMind
- BetterChatGPT
- LibreChat
- Warp AI
- Pieces
- Fig AI
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