Engineering operating model for teams shipping code with AI-assisted generation.
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
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add affaan-m/everything-claude-code --skill ai-first-engineeringCompatible with
Supported agents
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
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:
epx add affaan-m/everything-claude-code --skill ai-first-engineeringFetches 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:
.cursor/skills/ai-first-engineering
Restart Cursor to activate ai-first-engineering. Access via /ai-first-engineeringin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
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.
flutter-dart-code-review
affaan-m/everything-claude-code · Productivity · same repo
kotlin-ktor-patterns
affaan-m/everything-claude-code · Productivity · same repo
cpp-coding-standards
affaan-m/everything-claude-code · Productivity · same repo
joke-engineering
jwynia/agent-skills · Productivity · tag: engineering
Backend Architect
msitarzewski/agency-agents · engineering · tag: engineering
Embedded Firmware Engineer
msitarzewski/agency-agents · engineering · tag: engineering
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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