maestro

In the author's own words, from each skill's SKILL.md.

• accelerate

  Use when the workflow is too slow, too expensive, or both and needs latency, cost, or token usage optimization.

  source/skills/accelerate/SKILL.md on GitHub (opens in a new tab)

• adapt-workflow

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

  source/skills/adapt-workflow/SKILL.md on GitHub (opens in a new tab)

• agent-workflow

  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.

  source/skills/agent-workflow/SKILL.md on GitHub (opens in a new tab)

• amplify

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

  source/skills/amplify/SKILL.md on GitHub (opens in a new tab)

• calibrate

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

  source/skills/calibrate/SKILL.md on GitHub (opens in a new tab)

• capture

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

  source/skills/capture/SKILL.md on GitHub (opens in a new tab)

• chain

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

  source/skills/chain/SKILL.md on GitHub (opens in a new tab)

• compose

  Use when a single agent demonstrably cannot handle the task and multi-agent coordination is justified.

  source/skills/compose/SKILL.md on GitHub (opens in a new tab)

• diagnose

  Use when the user wants to find problems, audit workflow quality, or get a comprehensive health check on their AI workflow.

  source/skills/diagnose/SKILL.md on GitHub (opens in a new tab)

• enrich

  Use when the agent needs access to information beyond its training data — knowledge sources, RAG pipelines, or grounding data.

  source/skills/enrich/SKILL.md on GitHub (opens in a new tab)

• evaluate

  Use when the user wants a quality review, interaction audit, or to test the workflow against realistic scenarios.

  source/skills/evaluate/SKILL.md on GitHub (opens in a new tab)

• extract-pattern

  Use when the user wants to create templates, extract reusable patterns, document solutions, or build a pattern library from working workflows.

  source/skills/extract-pattern/SKILL.md on GitHub (opens in a new tab)

• fortify

  Use when the workflow lacks error handling, has been failing in production, or needs retry logic, fallback strategies, and circuit breakers.

  source/skills/fortify/SKILL.md on GitHub (opens in a new tab)

• guard

  Use when deploying to production, handling sensitive data, or the workflow needs safety constraints, input validation, and security boundaries.

  source/skills/guard/SKILL.md on GitHub (opens in a new tab)

• iterate

  Use when the workflow needs to self-correct, improve over time, or establish feedback loops and evaluation cycles.

  source/skills/iterate/SKILL.md on GitHub (opens in a new tab)

• onboard-agent

  Use when starting a new project, adding a new agent to an existing system, or setting up workflow infrastructure from scratch.

  source/skills/onboard-agent/SKILL.md on GitHub (opens in a new tab)

• recap

  Quick summary of the last session — commands run, files changed, and what to do next.

  source/skills/recap/SKILL.md on GitHub (opens in a new tab)

• refine

  Use when the workflow works but needs polish, or as the final step in a diagnose → fix → refine cycle before shipping.

  source/skills/refine/SKILL.md on GitHub (opens in a new tab)

• reflect

  Analyze command history to identify which skills work, which fail, and where to improve.

  source/skills/reflect/SKILL.md on GitHub (opens in a new tab)

• specialize

  Use when the user wants to tailor a workflow for a specific industry, domain, or vertical with specialized expertise, terminology, and guardrails.

  source/skills/specialize/SKILL.md on GitHub (opens in a new tab)

• streamline

  Use when the workflow feels too complex, has accumulated cruft, or has redundant steps and overlapping tools that need consolidation.

  source/skills/streamline/SKILL.md on GitHub (opens in a new tab)

• teach-maestro

  Use when starting a new project with Maestro or when no .maestro.md context file exists yet. Run once per project.

  source/skills/teach-maestro/SKILL.md on GitHub (opens in a new tab)

• temper

  Use when the workflow feels over-engineered, has premature optimizations, unnecessary abstraction layers, or complexity beyond actual requirements.

  source/skills/temper/SKILL.md on GitHub (opens in a new tab)

• turbocharge

  Use when the user wants to push past conventional workflow limits with advanced performance techniques like parallel orchestration, streaming pipelines, or adaptive routing.

  source/skills/turbocharge/SKILL.md on GitHub (opens in a new tab)

• zero-defect

  Use when you need maximum precision on a critical task — production deployments, security-sensitive code, financial calculations, or any work where mistakes are unacceptable.

  source/skills/zero-defect/SKILL.md on GitHub (opens in a new tab)

No skill matches that filter.

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