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adapt-workflow

Use when porting a workflow to a different AI provider, deployment environment, model tier, or organizational context.

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sharpdeveye/maestro591 stars(GitHub 591 + cccskills 0)

Run score Not tested

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SKILL.md (original)

Review the instructions the agent will receive before you install.

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. Additionally gather: what the workflow is being adapted to.


Adapt a working workflow for a different context.

Adaptation Assessment

DimensionCurrentTargetImpact
Model provider??Prompt format, capabilities, pricing
Model tier??Context window, reasoning ability
Deployment env??Latency, availability, compliance
Team structure??Monitoring, escalation, ownership
Data sensitivity??Guardrails, logging, access controls

Provider Adaptation

  • Prompt format: Adjust for provider-specific features
  • Context limits: Resize context budget for different window sizes
  • Capability gaps: Identify features available in one provider but not another
  • Pricing model: Recalculate cost estimates
  • API differences: Update tool calling interfaces, error handling, retry logic

Environment Adaptation

  • Latency requirements: Adjust timeout values, caching strategy
  • Compliance: Add or adjust guardrails, logging, and data handling
  • Scale: Adjust concurrency limits, batch sizes
  • Monitoring: Adapt alerting thresholds

Adaptation Checklist

  • All provider-specific APIs updated
  • Context budget recalculated for target model
  • Cost estimates updated with target pricing
  • Guardrails adjusted for target compliance requirements
  • Tests updated and passing in target environment
  • Documentation updated for target team

Recommended Next Step

After adaptation, run /evaluate to verify the workflow performs correctly in the target environment, then /diagnose for a full health check.

NEVER:

  • Assume prompts work identically across providers
  • Copy production config to development without adjusting guardrails
  • Adapt without updating the evaluation suite
  • Skip cost re-estimation

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