Refines draft facts into actionable specifications by resolving ambiguities, gaps, and contradictions.
npx skills add https://github.com/av/harbor --skill facts-refine
Please help me install this Agent Skill. Skill: facts-refine Source: https://github.com/av/harbor/tree/main/.agents/skills/facts-refine Command: npx skills add https://github.com/av/harbor --skill facts-refine
This Skill helps in transforming draft facts into clear, actionable specifications by resolving ambiguities, filling gaps, and eliminating contradictions.
@draft to @spec with clear instructions.Start refining draft facts by running 'facts list' to identify @draft facts and then proceed with the defined process.
High-intent search queries and answers about installing and using this skill.
To refine draft facts into precise specifications, this process identifies and resolves structural issues like vagueness, gaps, and contradictions. It requires collaborative discussion with you to apply changes and transition facts from draft status to spec.
When writing fact specifications, you should look for vagueness, gaps, contradictions, compound facts, domain vocabulary issues, and missing validation. Identifying these issues ensures your draft facts become clear and actionable.
To transition facts from draft to spec status, you run a fact listing command to identify draft facts, collaboratively discuss identified issues, apply changes, and verify the updates. This process ensures a clear transition to actionable specifications.
No, fact validation and refinement cannot be fully automated without user collaboration. The process requires interactive discussion with you to resolve ambiguities, fill gaps, and apply changes to transition facts effectively.
The best way to resolve compound facts in specification writing is to scan for them during refinement, discuss the overlapping elements collaboratively, and split them into distinct, actionable specifications through user-confirmed changes.
avManage and validate .facts files for project truth statements.
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rortan134Convert conversation context and codebase understanding into a project specification document.
reason-healthcareIdentify underspecified areas in feature specifications and log clarifications.