Extract and formalize user intent into structured Markdown and HTML specifications.
npx skills add https://github.com/yes506/ai-driven-items --skill intent-aligner
Please help me install this Agent Skill. Skill: intent-aligner Source: https://github.com/yes506/ai-driven-items/tree/main/skills/intent-aligner Command: npx skills add https://github.com/yes506/ai-driven-items --skill intent-aligner
This skill prevents wasted development effort by ensuring the user's true intent is fully understood, scoped, and verified before any planning or coding begins.
Run the intent-aligner skill to start a new project elicitation session for your feature idea.
High-intent search queries and answers about installing and using this skill.
To formalize a vague feature idea, you can use interactive elicitation loops to surface hidden assumptions, classify goals, and produce a structured project specification. This ensures your intent is aligned before codebase modification.
Extracting user intent before AI planning workflows involves running Socratic loops and 5 Whys analysis to disambiguate goals and constraints. This process prevents wasted development effort by verifying true intent before any coding begins.
Interactive elicitation classifies constraints and success criteria by using example and counter-example disambiguation during dialog sessions. This directly transforms initial thoughts into validated specifications for downstream planning agents.
Yes, you can generate both machine-readable Markdown seeds and human-verifiable HTML reports from project goals. These dual-format artifacts ensure AI-parseable specifications and human alignment before execution.
Yes, you need python3 installed as a dependency to run elicitation sessions and generate specifications. The skill relies on this environment to produce the structured Markdown and HTML outputs.
You should not use intent elicitation if your software engineering task already has a fully scoped, validated specification. This approach is designed specifically for vague ideas needing disambiguation before planning agents can execute confidently.
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