Skill

ai-first-engineering

From ecc

Provides process, architecture, review, hiring, and testing guidelines for engineering teams relying on AI code generation.

ai-ml

code-quality

testing

npx claudepluginhub jevonthompsonx/todo.tsx

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This skill uses the workspace's default tool permissions.

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Use this skill when designing process, reviews, and architecture for teams shipping with AI-assisted code generation.

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Audits, re-engineers, or bootstraps projects to align with AI-first design principles across 7 dimensions. Triggers on review, ai-firstify, improve, or new project requests.

10 files

ai-firstify

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Last CommitApr 11, 2026

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AI-First Engineering

Use this skill when designing process, reviews, and architecture for teams shipping with AI-assisted code generation.

Process Shifts

Planning quality matters more than typing speed.

Eval coverage matters more than anecdotal confidence.

Review focus shifts from syntax to system behavior.

Architecture Requirements

Prefer architectures that are agent-friendly:

explicit boundaries

stable contracts

typed interfaces

deterministic tests

Avoid implicit behavior spread across hidden conventions.

Code Review in AI-First Teams

Review for:

behavior regressions

security assumptions

data integrity

failure handling

rollout safety

Minimize time spent on style issues already covered by automation.

Hiring and Evaluation Signals

Strong AI-first engineers:

decompose ambiguous work cleanly

define measurable acceptance criteria

produce high-signal prompts and evals

enforce risk controls under delivery pressure

Testing Standard

Raise testing bar for generated code:

required regression coverage for touched domains

explicit edge-case assertions

integration checks for interface boundaries