Chain hyper-plan-loop into hyper-implement-loop for end-to-end code execution.
npx skills add https://github.com/zeikar/hyperclaude --skill hyper-auto
Please help me install this Agent Skill. Skill: hyper-auto Source: https://github.com/zeikar/hyperclaude/tree/main/skills/hyper-auto Command: npx skills add https://github.com/zeikar/hyperclaude --skill hyper-auto
It removes the friction of manually coordinating a two-phase workflow where a generated plan must be hardened and then executed safely into working code.
Run /hyperclaude:hyper-auto with your task description to complete plan-harden and implement-harden in a single go.
High-intent search queries and answers about installing and using this skill.
Automating the plan review and code implementation workflow involves chaining the plan-harden and implement-harden phases into a single pipeline. This Skill runs a plan loop until it converges and then immediately executes the implementation loop on the produced plan.
To run end-to-end code implementation without manual re-invocation, use a chained agent pipeline. It automatically transitions from hardening a generated plan to executing reviewed, updated code in a single gesture.
Yes, the orchestrated pipeline stops without proceeding if the plan review hits a cap or terminal failure. This safety boundary prevents wasting the implementation budget on a known-broken plan.
Yes, you must enable agent teams to run the chained loops. The environment requires setting CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 before execution.
You should not use an automated two-phase developer workflow if you need to inspect the generated plan before execution. This pipeline is designed for scenarios where users want full end-to-end execution and either do not need to inspect the plan or want to avoid manual steps.
The automated pipeline reports terminal facts by returning the final terminal states from both phases. It uses a composed-flow exception to avoid duplicate next step guidance, ensuring audit-friendly reporting.
alinaqiOrchestrate AI agents through a strict TDD pipeline to create pull requests.
langwatchCoordinate plan, code, and review phases by delegating tasks to agents with issue tracking.
lanejConvert Markdown files into interactive terminal presentations with themes, diagrams, and exports.
gmliaoExecute Swift StateTree implementation plans with prerequisite validation and parallel task execution.
