Identify ambiguities and hidden intents in task descriptions for planning.
npx skills add https://github.com/gujincheng1128/my-awesome-app --skill metis-gujincheng1128
Please help me install this Agent Skill. Skill: metis Source: https://github.com/gujincheng1128/my-awesome-app/tree/main/skills/metis Command: npx skills add https://github.com/gujincheng1128/my-awesome-app --skill metis-gujincheng1128
Metis helps plan before execution by identifying ambiguities, hidden intents, and AI optimization opportunities to reduce waste and miscommunication.
Provide a project brief to Metis and ask it to surface ambiguities and propose AI-enhanced planning steps.
High-intent search queries and answers about installing and using this skill.
To clarify task descriptions and identify hidden intents, you need upfront analysis to surface ambiguities and reveal real goals. This structured planning process reduces miscommunication and flags potential execution risks before development begins.
Risk assessment during requirement clarification involves identifying potential execution risks and proposing mitigation strategies. Evaluating options upfront ensures the planning stage addresses constraints and reduces waste before committing to a specific execution path.
AI-driven planning optimization starts by providing a project brief to surface vague points and hidden intents. The system then proposes AI-enhanced planning steps and execution strategies to align requirements and reduce upfront miscommunication.
Cross-agent coordination aligns task analysis with other planning agents like Sisyphus, Hephaestus, and Argus. This collaboration ensures seamless planning, structured analysis, and clear recommendations across different stages of the project lifecycle.
Requirement clarification works for option evaluation by surfacing vague points in task descriptions and revealing user constraints. This process directly informs solution recommendations and proposes AI-assisted improvements for optimized execution strategies.
You should avoid upfront task analysis for intent discovery when a project brief lacks sufficient detail for requirement clarification. Without baseline descriptions, identifying ambiguities and proposing AI-enhanced planning steps becomes speculative and ineffective.
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