Automate end-to-end implementation tasks with a state-machine workflow and quality gates.
npx skills add https://github.com/phj128/autoworker --skill autoworker
Please help me install this Agent Skill. Skill: autoworker Source: https://github.com/phj128/autoworker/tree/main/skills/autoworker Command: npx skills add https://github.com/phj128/autoworker --skill autoworker
Autoworker automates non-trivial implementation tasks end-to-end, handling planning, decomposition, coding, testing, and iterative verification until quality gates pass.
Invoke /autoworker to start the end-to-end task loop from planning through quality gates.
High-intent search queries and answers about installing and using this skill.
You can automate end-to-end implementation tasks by invoking the /autoworker trigger to initiate a deterministic state-machine workflow that orchestrates planning, coding, testing, and iterative quality gate checks until verification passes.
A state-machine workflow for automated coding and testing is a deterministic execution chain that enforces sequential phases—subtask-init, subtask-plan, dispatch, code, test, checkpoint, and gate-check—to prevent skipping critical steps.
To enforce quality gates in an automated development workflow, you use a deterministic execution chain that applies progressive gate checks and multi-layer testing (L1-L4) after coding and testing phases to verify quality before proceeding.
Yes, you can use automated task execution for complex development tasks requiring multi-layer testing (L1-L4) and progressive gate checks because it decomposes tasks into subtasks and runs repeatable checks across an automated execution chain.
The best way to prevent skipping steps in an automated coding workflow is to implement a deterministic state-machine that coordinates planning, execution, and verification, requiring successful checkpoint completion before advancing.
Your automated workflow needs subtask decomposition before coding to break down non-trivial implementation tasks into manageable phases, enabling automatic plan generation and repeatable iterative verification across the execution chain.
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