Facilitate iterative project planning with annotation cycles and todo list generation.
npx skills add https://github.com/isihigameKoudai/utils --skill plan-isihigamekoudai
Please help me install this Agent Skill. Skill: plan Source: https://github.com/isihigameKoudai/utils/tree/main/.opencode/skills/plan Command: npx skills add https://github.com/isihigameKoudai/utils --skill plan-isihigamekoudai
This Skill addresses the challenge of creating detailed project plans with iterative refinement, ensuring that every aspect of the project is thoroughly considered before implementation.
Create a plan for a new feature by running the plan skill and following the guided steps to document the approach, code snippets, and trade-offs.
High-intent search queries and answers about installing and using this skill.
Iterative project planning involves collaborative annotation cycles where you add inline notes to a plan, and the AI refines the details until the implementation approach is thoroughly documented and ready for execution.
Yes, you can automatically generate a todo list from a project plan. The planning process creates a granular todo checklist directly based on your refined and annotated implementation plans.
To enforce project coding constraints during implementation planning, the system validates your plan against specific rules, ensuring requirements like explicit exports and designated validation libraries are respected.
The best way to document code snippets and trade-offs before implementation is through guided planning steps that facilitate detailed user-agent collaboration to capture the approach, constraints, and technical considerations.
Yes, this iterative planning approach supports multiple annotation cycles for feature planning. You can repeatedly add inline notes and have the AI refine the plan to ensure every aspect is thoroughly considered.
shiroginCapture project identity, principles, stakeholders, boundaries, and success criteria.
abrahamgreysonMonitor and report the status of a user's todo list.
heyAyushhGuide LLM coding with minimal changes and explicit success criteria.
d-o-hubOrchestrate workflow agents in iterative refinement loops with configurable termination modes.
