Score pending tasks with WSJF-adapted metrics and rank a backlog.
npx skills add https://github.com/ddaanet/edify-plugin --skill prioritize-ddaanet
Please help me install this Agent Skill. Skill: prioritize Source: https://github.com/ddaanet/edify-plugin/tree/main/skills/prioritize Command: npx skills add https://github.com/ddaanet/edify-plugin --skill prioritize-ddaanet
Pending task backlogs often drift without a clear, objective prioritization strategy, leading to wasted effort and delayed outcomes.
Run the prioritize skill on your current backlog to generate a ranked task list.
High-intent search queries and answers about installing and using this skill.
WSJF scoring prioritizes a backlog by evaluating pending tasks across multiple dimensions like Workflow Friction, Decay Pressure, Compound Risk Reduction, Marginal Effort, and Context Recovery Cost to compute a ranked list.
You can rank pending tasks by running the prioritize skill, which reads task data from agents/session.md, applies WSJF-adapted metrics, and outputs a prioritized backlog as a JSON array and ranked table.
Yes, WSJF task-management scoring applies to software product backlogs, design sprints, and runbook planning where multiple tasks compete for scarce resources and require objective prioritization.
Scoring tasks with WSJF-adapted metrics is the best way to address compound risk and workflow friction, calculating decay pressure and marginal effort to optimize your backlog objectively.
You need to format your task data within agents/session.md and ensure plans/prototypes/score.py is available to compute the scoring and generate the prioritized backlog outputs.
Backlogs drift without objective prioritization, leading to wasted effort and delayed outcomes; using WSJF scoring establishes a clear strategy to rank work based on friction, risk, and effort.
valegrajalesParse backlog tasks and classify them as actionable, blocked, or in-progress.
Open330Orchestrate multi-LLM agents for parallel planning and implementation tasks.
GrinRusSynchronize roadmap and backlog documents across task hierarchies.
jerelvelardeScore and rank backlog items using RICE, ICE, or custom dimensions.
