{"repo":"J-Pster/Psters_AI_Workflow","free":true,"listed":false,"github":"https://github.com/J-Pster/Psters_AI_Workflow","clone":"git clone https://github.com/J-Pster/Psters_AI_Workflow.git","description":"An auto-documenting, model-agnostic AI workflow for any project, framework, and language. It reduces hallucination and keeps delivery predictable: the developer controls the path, AI executes the steps, and project standards stay consistent.","language":"JavaScript","stars":291,"topics":["ai","ai-agents","workflow"],"license":"MIT","category":"workflow-automation","readme_excerpt":"Pster's AI Workflow Self-documenting, hallucination-reducing, and predictable AI workflow for software teams. English · Português (PT-BR) An auto-documenting, model-agnostic AI workflow for any project, framework, and language. It reduces hallucination and keeps delivery predictable: the developer controls the path, AI executes the steps, and project standards stay consistent. ⚡ Quick Explanation The default flow is: /pwf-brainstorm (shape feature scope and decisions) - /pwf-plan (turn decisions into phased implementation tasks) - /pwf-work-plan (implement one phase per execution, repeating until all phases are complete). After /pwf-plan , you can run /pwf-checklist , /pwf-clarify , and /pwf-analyze as quality gates before implementation. /pwf-work-plan executes planned phases. /pwf-work executes focused changes outside a formal plan. This workflow prioritizes predictability: commands do not autonomously pick your path. The developer understands each command and explicitly chooses the next step. Predictability and documentation are the two central pillars of this plugin: - /pwf-work and /pwf-work-plan read documentation before implementation and generate/maintain docs automatically during execution. - when you want explicit documentation output, use /pwf-doc (scoped docs), /pwf-doc-foundation (foundation docs like infrastructure/architecture/integrations/environments/glossary), /pwf-doc-runbook (operational runbooks), /pwf-doc-capture (reusable learnings), and /pwf-doc-refres","default_branch":null,"files":null,"tree":[],"storefront":"/r/J-Pster","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/J-Pster/Psters_AI_Workflow/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}