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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/maestro星标 591(GitHub 591 + cccskills 0)

实测评分 未实测

查看安装方法

包含的文件(1)

  • SKILL.md2.3 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

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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中文简介正在准备中。当前显示原文说明。

sharpdeveye/maestro5912026年4月29日 更新

Use when any Maestro command is invoked — provides foundational workflow design principles across prompt engineering, context management, tool orchestration, agent architecture, feedback loops, knowledge systems, and guardrails.

中文简介正在准备中。当前显示原文说明。

sharpdeveye/maestro5912026年4月29日 更新

amplify

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Use when the workflow works but needs to handle more complex cases or produce higher-quality output through better tools, context, prompts, or models.

中文简介正在准备中。当前显示原文说明。

sharpdeveye/maestro5912026年4月29日 更新

calibrate

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

中文简介正在准备中。当前显示原文说明。

sharpdeveye/maestro5912026年4月29日 更新

capture

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Capture a session summary — what was done, what decisions were made, and what to do next.

中文简介正在准备中。当前显示原文说明。

sharpdeveye/maestro5912026年4月29日 更新

chain

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Use when the workflow needs multi-step processing with sequential, parallel, or conditional tool compositions and proper data flow.

中文简介正在准备中。当前显示原文说明。

sharpdeveye/maestro5912026年4月29日 更新

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