Generate structured implementation plans with task breakdowns and custom rules.
npx skills add https://github.com/mkoziy/skills --skill make-mkoziy
Please help me install this Agent Skill. Skill: make Source: https://github.com/mkoziy/skills/tree/main/.claude/skills/planning/make Command: npx skills add https://github.com/mkoziy/skills --skill make-mkoziy
The skill streamlines the creation of detailed implementation plans by guiding you through intent parsing, rule-loading, and task decomposition to produce a ready-to-run docs/plans entry.
Create a new plan by following the guided prompts to generate a dated plan file in docs/plans/.
High-intent search queries and answers about installing and using this skill.
Structured implementation plans are generated through guided prompts that parse project intent, load custom rules, and decompose tasks into a dated file under docs/plans/. This process ensures consistent plan generation across engineering teams.
Rule-aware planning incorporates project-level and local planning rules to customize task breakdowns and milestones. By loading these specific constraints during intent parsing, the generated plan templates align with established engineering workflows.
Reusable plan templates are created by defining your scope, requirements, and milestones through guided prompts. The skill outputs a consistent template file in the docs/plans/ directory that can be applied to future tasks and teams.
Task decomposition and milestone tracking are automated by guiding you through intent parsing and rule-loading to produce structured plan documents. This satisfies requirements for breaking down complex product planning into ready-to-run plan entries.
It eliminates manual documentation formatting by automatically generating dated plan files in the docs/plans/ directory. The skill applies reusable templates and custom rules to ensure every plan document is consistently structured.
Plan generation automation depends on clearly defined scope and requirements provided during the guided prompts, meaning vaguely specified project intent will produce generic task breakdowns. It also relies on properly configured local planning rules to tailor the output effectively.
axivoInitialize AI session state by detecting impulses, caching observations, and activating profiles.
PhucMPhamServe a Kanban dashboard for plan.md-based plans with progress and timelines.
haidonglethqbTrack plan progress and generate status updates across multiple plans.
QunnnnCreate structured implementation plans with file-level task breakdowns before coding.
