Strip anthropomorphic framing from assistant responses using prompt-level voice rules.
npx skills add https://github.com/summerscope/unmask --skill unmask
Please help me install this Agent Skill. Skill: unmask Source: https://github.com/summerscope/unmask/tree/main Command: npx skills add https://github.com/summerscope/unmask --skill unmask
This Skill removes anthropomorphic framing from assistant responses so instructions are easier to read, less emotionally softened, and more operationally precise.
Ask the assistant to apply unmask voice rules to its responses.
High-intent search queries and answers about installing and using this skill.
To make assistant responses blunt and precise, apply voice normalization rules that strip first-person pronouns, apologies, and persona-like language, forcing machine-like voice and grounded claims.
Remove anthropomorphic framing by enforcing prompt-level rules that deflect emotional attributions, decline motive-based requests, and replace personal self-reference with non-personal, tool-like phrasing.
Yes, you can force confidence labeling by applying rules that require confidence statements, self-reference, and evaluations to be explicitly tagged or omitted unless supported by context or tools.
The best way to stop apologies in technical support is to enforce voice normalization rules that remove emotionally softened language and replace it with terse, operationally precise responses.
Use a de-personalized assistant style for technical support, analysis, and instruction following when you need terse, high-stakes communication where the assistant functions as a tool rather than a character.
missuoConfigure Koe voice input for macOS with Volcengine ASR and OpenAI LLM settings.
profmikegreeneParses pilot plans and hypotheses into structured JSON or tabular data for downstream analysis.
francomascareloaiTriangulate claims across academic, GitHub, and empirical sources with confidence levels.
blicktzDeliver blunt, numbers-driven business guidance for early-stage startups.
