accelerate
FreeUse when the workflow is too slow, too expensive, or both and needs latency, cost, or token usage optimization.
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Use when you need maximum precision on a critical task — production deployments, security-sensitive code, financial calculations, or any work where mistakes are unacceptable.
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Run score Not tested
See how to installReview the instructions the agent will receive before you install.
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.
Activate maximum precision mode for the current session. This command establishes execution-time discipline — not for the workflow design, but for how the agent itself operates. Every response, every code change, every claim must pass the zero-defect gate.
This is model-agnostic. It works with Claude, Gemini, GPT, Codex, or any AI agent.
Follow these for the entire session after this command is invoked:
| # | Rule | Why |
|---|---|---|
| 1 | Read before writing — Re-read the relevant code/context before every modification | Prevents edits based on stale mental models |
| 2 | Verify before claiming — Run verification before any success claim | Prevents false completion reports |
| 3 | One logical change at a time — Avoid sprawling multi-file edits that compound errors | Reduces cascading failures |
| 4 | State uncertainty explicitly — Say "I'm not sure about X" instead of guessing | Prevents confident hallucination |
| 5 | Check every import and reference — Verify that every function, variable, and module exists | Prevents "symbol not found" errors |
| 6 | Dry-run mentally before committing — Trace the code path for both happy path and edge cases | Catches logic errors before they ship |
| 7 | Never hallucinate APIs — Only use functions, methods, and parameters that exist in the codebase or documentation | Prevents non-existent API calls |
| 8 | Re-derive, don't recall — For math, logic, or complex reasoning, work it out fresh instead of from memory | Prevents confident but wrong answers |
Before claiming ANY work is complete, pass every item:
| Sloppy pattern | What to do instead |
|---|---|
| "This should work" without testing | Run the test, show the output |
| Editing code without re-reading the file first | View the file, then edit |
| Assuming a function exists because it sounds right | Grep the codebase to confirm |
| Making 5+ file changes in one shot | Break into sequential, verifiable steps |
| Saying "Done!" before verification | Run build/test, paste the result |
| Guessing at API parameters | Read the actual function signature |
| Fixing a bug by changing something nearby | Trace the actual root cause first |
| "I'm confident this is correct" | Confidence is not evidence — verify |
This command applies to every interaction for the remainder of the session. There are no exceptions. The rules apply to:
If you catch yourself about to violate a rule, stop and correct course before responding.
After the critical work is done, run /evaluate to review the output quality, or /refine for a final polish pass.
NEVER:
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Use when the workflow is too slow, too expensive, or both and needs latency, cost, or token usage optimization.
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Use when porting a workflow to a different AI provider, deployment environment, model tier, or organizational context.
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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.
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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.
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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.
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Capture a session summary — what was done, what decisions were made, and what to do next.
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