Convert change proposals into runnable code and tests.
npx skills add https://github.com/ponsde/multi-agent-workflow --skill coder-ponsde
Please help me install this Agent Skill. Skill: coder Source: https://github.com/ponsde/multi-agent-workflow/tree/main/skills/coder Command: npx skills add https://github.com/ponsde/multi-agent-workflow --skill coder-ponsde
Coders translate change proposals into concrete code and tests, reducing manual handoffs and speeding delivery while maintaining quality.
Read AI-CONTEXT.md and the change outputs, then implement code and tests to meet the specs.
High-intent search queries and answers about installing and using this skill.
Converting change proposals into working code and tests requires reading project conventions from AI-CONTEXT.md and change outputs like specs and tasks, then implementing and validating the code directly in the project.
Automating code generation for software development involves applying a structured workflow where task details are provided and the system writes code and tests directly in the project, adhering to established conventions and verifying functionality.
Ensuring generated code follows project conventions requires the implementation process to read an AI-CONTEXT.md file, which aligns the automated code generation and testing with your specific software project standards.
Yes, an AI-CONTEXT.md file is required to define project conventions and guide the automation process when converting change proposals into runnable code and tests within a software project.
Validating generated code within a software project is done by running tests immediately after implementation to verify functionality and ensure all tests pass according to the provided specs.
A limitation of automating software development from specs is that it requires a Leader to provide explicit task details and a Coder to implement results, meaning it cannot autonomously design changes without prior proposal outputs.
zb-ssGenerate project-specific SKILL.md files from git commit history.
SeemSeamAdd and run tests for affected code behaviors to prevent regressions.
safzanpiraniRemove redundant and suboptimal code sections from AI-generated source files.
insightwavesmithAnalyze code changes to identify those meeting evidence-shape-check criteria.
