When your workflow has some tools named with underscores, others with camelCase, and prompts structured three different ways, this skill brings everything into alignment. It walks through naming conventions, prompt structure, error handling, and logging formats to identify what pattern is most common, then helps you standardize the outliers. The approach is pragmatic: pick the existing dominant pattern as your standard rather than inventing something new, fix the highest impact deviations first, and document the conventions you settle on. It's maintenance work, but the kind that prevents the gradual drift into chaos when multiple people contribute to a project.

skills.sh installs
344
GitHub stars
602
last updated
Aug 21, 2026

Install

$ npx -y skills add sharpdeveye/maestro --skill calibrate --agent claude-code

Installs into .claude/skills of the current project.

Files

MANDATORY PREPARATION

Invoke /agent-workflow — it contains workflow principles, anti-patterns, and the Context Gathering Protocol. Follow the protocol before proceeding — if no workflow context exists yet, you MUST run /teach-maestro first. Consult the prompt-engineering reference in the agent-workflow skill for naming and style consistency patterns.


Ensure consistency across all workflow components. Inconsistency creates confusion — for the model, for developers, and for users.

Calibration Dimensions

Naming Conventions

  • Tool names follow consistent pattern (verb_noun, noun.verb, or camelCase — pick one)
  • Agent names follow consistent pattern
  • Configuration keys follow consistent pattern
  • File names follow consistent pattern

Prompt Style

  • All prompts use the same structural pattern (4-zone)
  • Consistent delimiter style (XML tags, markdown headers, triple-dash)
  • Consistent output schema format (JSON schema, markdown template)
  • Consistent instruction style (imperative, numbered steps)

Error Handling

Sponsors

Details

Repository
github.com/sharpdeveye/maestro
Categories
Code Review & Quality, Automation & Workflows
First seen
Jun 3, 2026

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