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AI Coding / Developer Production Agent
Takes software work from coding and debugging through testing, release readiness, deployment verification, and production recovery.
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Sample Input
Inspect this repository and fix the intermittent 500 errors occurring on the
/checkoutAPI after the latest release. Identify the root cause, make the smallest safe change following the existing project patterns, add regression tests, run the relevant tests and type checks, and assess whether the change is ready for production. Also identify any configuration, database, deployment, observability, or rollback implications.
Your agent does
Result
Identified the root cause of the intermittent /checkout 500 errors: the payment-service response can return without a transaction ID during timeout/failure conditions, causing the checkout handler to throw unexpectedly.
Changes Updated the checkout error handling using the repository's existing patterns. Added a regression test for incomplete payment responses. Kept the change narrowly scoped with no unrelated refactoring. Validation Targeted checkout tests: PASS Regression test: PASS Type checking: PASS Lint/static checks: PASS Production Assessment
READY WITH CONDITIONS
No database migration or new dependency is required. The change preserves the existing API contract. Before release, verify the relevant production monitoring and payment-service error signals.
Remaining Risk
Production runtime health cannot be confirmed from repository-level validation alone. Post-deployment verification is required.
What you get
About this skill
AI Coding / Developer Production Agent is a production-focused software engineering skill designed to help developers move beyond basic code generation and manage software work through a structured production workflow.
It transforms development requests into a controlled process covering problem understanding, repository analysis, operational impact assessment, implementation planning, coding, testing, release readiness, deployment verification, observability, incident analysis, and recovery.
Its core methodology, PRODTRACE, follows:
Problem → Repository → Operational Impact → Design → Transform → Run & Verify → Assure Release → Confirm → Recover
The skill helps solve common software-production problems such as unclear implementation scope, fragile code changes, insufficient testing, deployment risk, missing observability, migration failures, production incidents, and unreliable release decisions.
It supports feature development, debugging, refactoring, code review, testing, database migrations, CI/CD troubleshooting, performance optimization, production-readiness assessment, release planning, deployment verification, incident analysis, and rollback/recovery planning.
Unlike a basic coding assistant, it evaluates not only whether code can be written, but whether a change can be tested, released, verified, observed, and safely recovered.
It is designed for developers and engineering teams who want a repeatable, evidence-driven software production workflow rather than disconnected AI-generated code.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Creator
10 skills on Agensi
Creative professional with 20+ years of experience across design, illustration, and game development. I build specialized AI agent skills designed to turn complex creative workflows into efficient, production-ready systems. My focus is creating practical tools that deliver professional results and genuine value for creators and teams.
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