speed-loop

Systematically optimizes a data processing flow through iterative speed loops. Use when the user wants to improve performance of a data pipeline, query, or processing endpoint. Invoke with the flow to optimize: /speed-loop path/to/file or /speed-loop describe the flow

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Install skill "speed-loop" with this command: npx skills add toomingos/open_speed_optimization_loop/toomingos-open-speed-optimization-loop-speed-loop

Speed Loop

If $ARGUMENTS is empty, stop and ask: "What flow or file do you want to optimize?" Do not proceed until the user provides it.

The flow to optimize is: $ARGUMENTS

Read references/start.md now. The flow above is your [FLOW] throughout that document.


File Locations

Framework (read-only): references/

  • start.md — entry point
  • sacred_rules.md — 7 inviolable rules
  • 10_optimization_commandments_example.md — commandments template
  • phase_rules/01_understand.md06_integrate.md

Working directory (gitignored): speed_loop/ at project root

  • speed_loop/10_optimization_commandments.md — project-specific commandments
  • speed_loop/fundamentals/ — architecture docs, rebuilt each loop
  • speed_loop/loop_01/, loop_02/, ... — one directory per iteration

Loop Directory Structure

loop_XX/
├── README.md               # status + navigation
├── phase1_understand.md
├── phase2_decompose.md
├── phase3_analysis.md
├── phase4_implement.md
├── phase5_results.md       # verification + decision
├── phase6_integrate.md     # only if APPROVED
├── HANDOFF.md
├── benchmarks/
│   ├── baseline.json
│   ├── optimized.json
│   └── comparison.md
└── test_server/

Always lowercase_snake_case. Never ALL_CAPS filenames.

Sacred Rules

See references/sacred_rules.md. Always cite by number when justifying decisions.

  1. Output Integrity — same inputs → identical outputs
  2. Verification Checkpoints — every optimization measured quantitatively
  3. Correctness First — wrong results = failure, regardless of speedup
  4. Test Environment Isolation — changes only in test_server/ until Phase 6
  5. One Optimization Per Iteration — exactly one change per loop
  6. Document Everything — hypothesis, implementation, measurements, decision
  7. Rollback Readiness — every change reversible via git tag

The 10 Commandments

See references/10_optimization_commandments_example.md. These are engineering principles — general best practices for building fast systems on this stack. Always cite by number (#1–#10) when documenting optimization decisions.

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