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SKILL verified MIT Self-run

Calibrate

skill-sharpdeveye-maestro-calibrate · by sharpdeveye

Use when workflow components are inconsistent, naming conventions vary, or a new team member's work needs alignment to project standards.

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Install

$ agentstack add skill-sharpdeveye-maestro-calibrate

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

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

  • All tools return errors in the same format
  • Error codes follow consistent scheme
  • Error messages follow consistent tone
  • Retry logic uses consistent strategy

Logging

  • All logs use the same format (JSON structured, text, etc.)
  • Consistent field names across all log entries
  • Consistent log levels (debug, info, warn, error)
  • Consistent PII redaction approach

Calibration Process

  1. Identify the standard: What's the most common pattern in the existing codebase? That's the standard.
  2. List deviations: Find all components that deviate from the standard.
  3. Prioritize: Fix the most impactful deviations first (user-facing > internal).
  4. Apply: Make the changes, ensuring tests still pass.
  5. Document: Update .maestro.md with the established conventions.

Consistency Audit Table

| Dimension | Standard | Deviations Found | Priority | |-----------|----------|------------------|----------| | Tool naming | ? | ? of ? tools | High/Med/Low | | Prompt structure | ? | ? of ? prompts | High/Med/Low | | Error format | ? | ? of ? tools | High/Med/Low | | Log format | ? | ? of ? entries | High/Med/Low |

Calibration Checklist

  • [ ] Convention standard identified for each dimension
  • [ ] All deviations listed with location
  • [ ] Highest impact deviations fixed first
  • [ ] Tests pass after each calibration change
  • [ ] Updated .maestro.md with established conventions

Recommended Next Step

After calibration, run /refine for a final polish pass, or /evaluate to verify consistency improvements.

NEVER:

  • Invent new conventions when existing ones work
  • Calibrate in a way that changes behavior (this is standardization, not refactoring)
  • Skip test verification after calibration
  • Change naming conventions without updating all references

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.