AI Coding Agent Workflow Builder
Design safe AI coding-agent workflows for planning, repository exploration, implementation, testing, review, and controlled changes.
AI Coding Agent Workflow Builder is a free AI skill for agent systems & llm workflows. Design safe AI coding-agent workflows for planning, repository exploration, implementation, testing, review, and controlled changes. It works with Claude, ChatGPT, Cursor and is ready to use out of the box.
About this skill
AI Coding Agent Workflow Builder creates structured workflows for AI systems that inspect repositories, modify code, run tests, and prepare changes. It defines task boundaries, repository context, tool permissions, planning, change limits, verification, review, rollback, and auditability.
What it does
The skill analyzes the engineering task, repository structure, tools, environments, and risk; defines an agent workflow from issue understanding through implementation and validation; creates prompts and output contracts; adds permission boundaries, change budgets, stop conditions, branch rules, and human review; and produces an evaluation and rollout plan.
What is included
- Agent objective and boundaries
- Repository exploration workflow
- Planning and implementation stages
- Tool and permission model
- Testing and verification gates
- Change and rollback controls
- Human review requirements
- Evaluation and rollout plan
How to use it
1. Download the ai-coding-agent-workflow-builder-SKILL.md file 2. Upload it to your AI or engineering workspace 3. Describe the repository, coding task, tools, and acceptable permissions 4. Add test commands, branch rules, and deployment constraints 5. Use the final workflow to configure and evaluate the coding agent
Examples
Design an AI coding-agent workflow that can fix small GitHub issues in a TypeScript repository, create a branch, modify code, run tests, and prepare a pull request for human review.
A complete agent workflow with issue triage, repository exploration, planning, file-change limits, branch creation, implementation rules, test execution, failure handling, diff review, pull-request content, permissions, stop conditions, and evaluation cases.
FAQ
What is this skill for?
Does it let the agent deploy to production?
Can it limit file changes?
How does it verify code changes?
Can it work with different coding tools?
How is this different from a coding prompt?
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