Generate structured task-driven development plans with risk-tiered decision documentation for HarnessFlow.
npx skills add https://github.com/hujianbest/harness-flow --skill hf-plan
Please help me install this Agent Skill. Skill: hf-plan Source: https://github.com/hujianbest/harness-flow/tree/main/skills/hf-plan Command: npx skills add https://github.com/hujianbest/harness-flow --skill hf-plan
The Skill unit "hf-plan" addresses the need for producing clear, actionable plans in AI-driven code development workflows, streamlining the planning process for software projects.
Execute the command to generate a plan for the current project stage.
High-intent search queries and answers about installing and using this skill.
Project planning for AI coding workflows involves creating task-driven plans with risk-tiered decision documentation. This approach captures all tasks and key decisions, making the plan executable and reviewable at every development stage.
Risk-tiered decision documentation categorizes project decisions by risk level to streamline software development planning. It captures tasks and key choices, ensuring the plan remains executable and reviewable at every project stage.
Yes, creating multi-level plans for software development is supported, ranging from basic documentation to detailed design and spec documentation. This ensures every project stage has an appropriately detailed and actionable plan.
Yes, integrating gate mechanisms ensures an AI-driven software project moves forward without missteps. These mechanisms validate the comprehensive plan at each stage, preventing errors before development proceeds.
The best way to integrate decision documentation with gate mechanisms is through a unified workflow framework. This connects task documentation with gate checks, ensuring the software project moves forward without missteps.
You should avoid automated plan generation when a project requires highly customized, non-standard documentation outside predefined risk tiers. It is designed for structured, task-driven AI coding workflows rather than ad-hoc planning needs.
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