Draft a seven-item problem-definition agreement before planning handoff.
npx skills add https://github.com/kangig94/coral --skill preplan
Please help me install this Agent Skill. Skill: preplan Source: https://github.com/kangig94/coral/tree/main/skills/preplan Command: npx skills add https://github.com/kangig94/coral --skill preplan
Solves misalignment by conducting a structured problem-definition conversation before planning.
Provide a topic to begin the preplan.
High-intent search queries and answers about installing and using this skill.
To secure stakeholder agreement before complex planning, initiate a structured problem-definition conversation that drafts a formal agreement capturing Problem Statement, Success Criteria, Scope, Assumptions, Affected Systems, Constraints, and Approach Direction.
Documenting project scope and constraints across multiple teams is best achieved by autonomously drafting a seven-item agreement file that flags uncertainties, ensuring all affected systems and assumptions are explicitly recorded for iterative correction.
Prepare a pre-planning agreement by providing a topic to start a guided conversation, which drafts a structured markdown file capturing success criteria, constraints, and approach direction to align stakeholders before the feature launch.
Yes, you can iteratively correct assumptions and scope during problem definition through a guided conversation that updates the draft agreement, allowing stakeholders to refine constraints and flag uncertainties continuously.
A structured problem definition workflow is needed for complex initiatives like multi-team feature launches and large planning efforts, where early clarity on problem scope, success criteria, and constraints across stakeholders is essential.
4tikhonovGuide exploratory conversations to capture goals, constraints, and success criteria.
nesihaver-ILClarify goals and analyze codebases before implementation.
commercetoolsClarify user intent and structure design concepts for Nimbus components.
thomfilgAutomate Jira task creation through multi-agent consensus with parallel and sequential iterations.
