fastopt-extreme

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Use when optimizing estimated hot and complexity-neutral cold paths while refusing complexity theater. Not for measured-floor rebuilds: use extremely-optimize. Not for hypothesis-only: use fastopt.

AI & Automation 38 stars 0 forks Updated yesterday Apache-2.0

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Skill Content

# Fastopt extreme ## Contract | Field | Bound contract | |---|---| | Trigger | User wants to optimize estimated hot paths and complexity-neutral cold paths while refusing complexity theater. | | Authority | Read-only. No file, VCS, credential, paid, published, deployed, or remote mutation. | | Side effect | Chat output only: hypotheses and benchmark designs for estimated hot paths; simplification proposals for complexity-neutral cold paths. | | Done | Hot-path hypotheses with benchmark designs and cold-path simplification proposals are emitted; complexity theater is refused. | ## Inputs The target code region or module to analyze. Optional: known call frequencies, profiling data, or prior benchmark results that sharpen hot-path estimates. If no code is supplied, request it before proceeding. ## Procedure 1. Bound scope to the named code region or module. Do not widen to unrelated code. Done when: the scope is bounded to the named region or module. 2. Estimate hot paths from call frequency, loop depth, allocation density, and I/O or syscall blocking. Label every estimate as a hypothesis, not a measured fact. Done when: every hot-path estimate is labeled as a hypothesis with its basis stated. 3. Identify complexity-neutral cold paths: paths whose optimization adds no new abstraction, wrapper, configuration flag, caching layer, or indirection. The change must be simpler than or equal in complexity to the original. Done when: every cold-path candidate is classified as compl...

Details

Author
OutlineDriven
Repository
OutlineDriven/odin-claude-plugin
Created
10 months ago
Last Updated
yesterday
Language
Python
License
Apache-2.0

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