Orchestrate an iterative multi-agent planning pipeline for complex software features.
npx skills add https://github.com/Bishoni/claude-bishx --skill plan-bishoni
Please help me install this Agent Skill. Skill: plan Source: https://github.com/Bishoni/claude-bishx/tree/main/skills/plan Command: npx skills add https://github.com/Bishoni/claude-bishx --skill plan-bishoni
This Skill tackles the complexity of feature development by ensuring that implementation plans are thoroughly vetted and robust before coding begins, reducing rework and improving quality.
Use the plan skill to generate a bulletproof implementation plan for the new user authentication module.
High-intent search queries and answers about installing and using this skill.
You generate a bulletproof implementation plan by running an automated, iterative pipeline that synthesizes codebase context with external research. This process uses a multi-agent verification loop to ensure the final plan is one-shot-ready and thoroughly vetted before development begins.
The best way to handle ambiguity in iterative software development is through a dedicated interview phase. This resolves unclear requirements upfront, allowing the planning pipeline to synthesize accurate context and produce a comprehensive, TDD-compliant implementation strategy.
Yes, you can use AI agents to review TDD plans through an automated 5-actor verification loop. This loop includes a Researcher, Planner, Skeptic, TDD Reviewer, and Critic, which iteratively refine the plan up to five times to ensure high quality.
Multi-agent code review improves feature development plans by employing a verification loop where actors act as a Skeptic and Critic. They iteratively challenge and refine the plan alongside a Researcher and TDD Reviewer, addressing potential issues upfront to reduce rework.
You need an automated planning pipeline when developing complex new software features that require rigorous upfront vetting. It is essential when you must reduce rework by ensuring implementation plans are comprehensive, TDD-compliant, and one-shot-ready before coding starts.
arroyo2009jose-maxGenerate a PRP with objective, behavior, data model, and phased milestones.
FourthWizConvert development plans into tested code with commits and PRs.
benbrastmckieExecutes implementation tasks by delegating to a subagent and managing postflight metadata.
ollieb89Design LangChain AI applications with agents, memory, and tool integration.
