Convert a user idea into a /goal package with interview and plan files.
npx skills add https://github.com/luan/agents --skill plannotator-setup-goal
Please help me install this Agent Skill. Skill: plannotator-setup-goal Source: https://github.com/luan/agents/tree/main/skills/plannotator-setup-goal Command: npx skills add https://github.com/luan/agents --skill plannotator-setup-goal
It turns an idea or objective into a structured goal package for /goal by gathering user intent, deriving testable facts, and producing an implementation plan grounded in codebase exploration.
Use plannotator-setup-goal to turn your idea into a goal package by guiding an interview and generating goals/<slug>/goal.md, ready to launch with /goal.
High-intent search queries and answers about installing and using this skill.
To turn a feature idea into an executable goal package, this Skill runs a structured interview to collect intent, derives testable facts, and drafts a codebase-informed execution plan. It outputs a structured goal package ready for automated verification and execution.
Requirements decomposition breaks down a broad objective into scoped implementation steps and testable facts. You need structured interviews for this when a feature's scope, success criteria, and constraints must be clarified and grounded in repository evidence before execution.
You can generate an implementation plan grounded in codebase exploration by analyzing the repository to identify involved files and systems. This process produces an ordered plan documenting risks, unknowns, and concrete verification steps for each phase.
Yes, you can automate fact specification by creating a facts review bundle that records automated verification selections. Accepted facts are then written into a human-readable facts.md file to establish verification intent for the goal package.
Goal planning using this workflow relies on codebase exploration to identify risks, unknowns, and documented blockers automatically. It grounds the execution plan in repository evidence, ensuring the final goal.md contains a clear done condition without manual evidence gathering.
The plannotator-setup-goal workflow generates interview.json, facts-review.json, plan.md, and a final goal.md. These files link the testable facts and implementation plan together, providing a clear done condition and next command to launch the goal.
sammyjoyceClarify software feature intent and compare implementation approaches.
chrono-metaEstimate token budgets, alert on thresholds, and verify output quality for /goal sessions.
akiselevOrchestrates codebase exploration to produce evidence-backed findings with file:line references.
marcusgollParse product requirement documents into testable tasks and execute them autonomously.
