Orchestrate parallel AI agents implementing TDD tasks with quality checks and merging.
npx skills add https://github.com/sam-fakhreddine/wfc --skill wfc-implement
Please help me install this Agent Skill. Skill: wfc-implement Source: https://github.com/sam-fakhreddine/wfc/tree/main/wfc/skills/wfc-implement Command: npx skills add https://github.com/sam-fakhreddine/wfc --skill wfc-implement
This Skill automates the execution of structured development tasks by orchestrating multiple AI agents in parallel, ensuring efficient and consistent code implementation following TDD principles.
wfc-plan. The orchestrator assigns tasks to agents, manages their progress, and ensures all code adheres to quality standards before merging.Use the wfc-implement skill to execute the tasks defined in the plan/TASKS.md file.
High-intent search queries and answers about installing and using this skill.
To orchestrate parallel AI agents for code implementation using TDD, you execute structured tasks defined in a TASKS.md file. Multiple agents work concurrently in isolated environments to implement specific tasks while the system manages dependencies and quality checks.
Managing task dependencies during parallel code generation is handled by an orchestrator that assigns tasks to isolated agents. It tracks progress, enforces quality gates before review, and ensures automated merging with rollback capabilities upon failure.
Yes, you can execute multiple development tasks concurrently while saving review tokens. The system enforces code quality checks before the review phase, ensuring automated merging only occurs when code adheres to predefined quality standards.
Automated merging with rollback for parallel test-driven development integrates with a merge engine to handle auto-merging upon successful quality checks. If a failure occurs during the process, the system executes a rollback to maintain codebase integrity.
Yes, you need a structured task file like plan/TASKS.md to start parallel agent execution. The orchestrator reads this file to break down complex features into specific sub-tasks, assigning each to an isolated agent for concurrent implementation.
Parallel execution for test-driven development ensures efficient and consistent code implementation by allowing multiple agents to work concurrently in isolated environments. This approach automates task execution, manages dependencies, and enforces quality gates before merging.
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