Enforce evidence-based, direct prose in agent-generated reports and documentation.
npx skills add https://github.com/avelikiy/great_cto --skill prose-style-avelikiy
Please help me install this Agent Skill. Skill: prose-style Source: https://github.com/avelikiy/great_cto/tree/main/skills/prose-style Command: npx skills add https://github.com/avelikiy/great_cto --skill prose-style-avelikiy
This Skill ensures consistency and clarity in human-readable artifacts produced by agents, reducing miscommunication and improving productivity.
Use the prose-style skill when writing reports or documentation for the software release.
High-intent search queries and answers about installing and using this skill.
To enforce consistent writing style across agent-generated reports, apply a contract that mandates direct, concrete prose with evidence. This eliminates hedging and marketing language, ensuring clarity across all agent outputs.
Evidence-based prose in software QA reporting is a writing standard requiring direct, actionable statements backed by concrete evidence. It eliminates hedging and marketing language to reduce confusion during software releases.
Yes, you can apply automated writing standards to security audit documentation. The skill enforces a writing style contract on security audits, ensuring direct, evidence-based prose without hedging across all agent outputs.
Yes, the prose-style skill supports project management reporting tasks. It enforces a clear writing style contract for documentation produced by agents, ensuring evidence-based prose and consistency across project management outputs.
The best way to remove hedging and marketing language from agent outputs is to enforce a writing style contract. This mandates direct, concrete prose with evidence, ensuring actionable writing for reports and documentation.
You need a writing style contract for agent documentation when producing human-readable artifacts like QA or security audit reports. It ensures consistency and clarity, reducing miscommunication and improving productivity across agent outputs.
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