Engineering operating model for teams shipping code with AI-assisted generation.
Works with
Emphasizes planning quality, evaluation coverage, and behavior-focused code review over traditional syntax checking and typing speed
Requires agent-friendly architectures with explicit boundaries, stable contracts, typed interfaces, and deterministic tests to minimize implicit behavior
Shifts review priorities to behavior regressions, security assumptions, data integrity, failure handling, and rollout sa
Use this skill when designing process, reviews, and architecture for teams shipping with AI-assisted code generation.
Prefer architectures that are agent-friendly:
Avoid implicit behavior spread across hidden conventions.
Review for:
Minimize time spent on style issues already covered by automation.
Strong AI-first engineers:
Raise testing bar for generated code:
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionai-first-engineeringExecute the skills CLI command in your project's root directory to begin installation:
Fetches ai-first-engineering from affaan-m/everything-claude-code and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate ai-first-engineering. Access via /ai-first-engineering in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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Run in your terminal
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Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
affaan-m/everything-claude-code
affaan-m/everything-claude-code
affaan-m/everything-claude-code
affaan-m/everything-claude-code
affaan-m/everything-claude-code
gmh5225/awesome-game-security
We added ai-first-engineering from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
I recommend ai-first-engineering for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
ai-first-engineering fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
ai-first-engineering is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
ai-first-engineering is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: ai-first-engineering is the kind of skill you can hand to a new teammate without a long onboarding doc.
Useful defaults in ai-first-engineering — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for ai-first-engineering matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: ai-first-engineering is the kind of skill you can hand to a new teammate without a long onboarding doc.
Keeps context tight: ai-first-engineering is the kind of skill you can hand to a new teammate without a long onboarding doc.
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