Map task unknowns into four quadrants for structured analysis.
npx skills add https://github.com/2lab-ai/soma-work --skill explore-unknowns
Please help me install this Agent Skill. Skill: explore-unknowns Source: https://github.com/2lab-ai/soma-work/tree/main/src/local/skills/explore-unknowns Command: npx skills add https://github.com/2lab-ai/soma-work --skill explore-unknowns
This Skill helps users understand and address unknown factors in tasks, improving planning and reducing surprises during implementation.
Run 'explore unknowns' to start the quadrant walk for task planning.
High-intent search queries and answers about installing and using this skill.
Identify unknown risks in project planning by mapping task scope using a four-quadrant approach that categorizes known knowns, known unknowns, unknown knowns, and unknown unknowns. This structured analysis reveals potential surprises before implementation begins.
The four-quadrant method for task analysis is a structured mapping technique that categorizes project variables into known knowns, known unknowns, unknown knowns, and unknown unknowns to assess scope and reduce planning surprises.
Yes, you can run risk assessment autonomously in automated pipelines. The unknowns mapping supports both interactive user input for manual sessions and autonomous execution for continuous integration workflows.
You need to map unknowns for a new codebase when project scope or requirements are ambiguous. Use unknowns mapping at the beginning of implementation to perform structured analysis of task scope and potential risks.
The best way to assess task scope before implementation is using a four-quadrant map to identify unknown factors. This approach distinguishes between known and unknown variables, improving planning accuracy and reducing unexpected issues.
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