Remote OpenClaw

jarvis-persona-style-calibrator-01

Browser & Automation
v1.0.0
Benign

Calibrate assistant personality to voice, boundaries, and audience context.

454 downloads454 installsby @xammarie

Setup & Installation

Install command

clawhub install xammarie/jarvis-persona-style-calibrator-01

If the CLI is not installed:

Install command

npx clawhub@latest install xammarie/jarvis-persona-style-calibrator-01

Or install with OpenClaw CLI:

Install command

openclaw skills install xammarie/jarvis-persona-style-calibrator-01
View on GitHub

or paste the repo link into your assistant's chat

Install command

https://github.com/openclaw/skills/tree/main/skills/xammarie/jarvis-persona-style-calibrator-01

What This Skill Does

Structures personality calibration work into a repeatable workflow with defined inputs, checkpoints, and quality gates. Accepts goals, constraints, and artifacts, then produces ranked findings, action plans, and risk mitigations. Outputs are implementation-ready, not advisory.

Enforces evidence-backed claims and explicit tradeoffs at each step, reducing the drift that comes from informal persona tuning.

When to Use It

  • Converting rough tone notes into a structured persona plan
  • Defining measurable success criteria for assistant voice changes
  • Running risk-first sequencing before deploying a new persona
  • Documenting persona assumptions and tradeoffs for team review
  • Validating personality boundaries against quality gates before launch

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: Converting rough tone notes into a structured persona plan

AGENT
  1. 1Converting rough tone notes into a structured persona plan
  2. 2Defining measurable success criteria for assistant voice changes
  3. 3Running risk-first sequencing before deploying a new persona
  4. 4Documenting persona assumptions and tradeoffs for team review
  5. 5Validating personality boundaries against quality gates before launch
OUTPUT
Calibrate assistant personality to voice, boundaries, and audience context.

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Details

LanguageMarkdown
Last updatedFeb 25, 2026
View on GitHub

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