lading-optimize-review
OfficialRigorous, benchmark-backed optimization reviews.
AuthorDataDog
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a formal framework for reviewing and validating optimization patches to lading. It ensures changes go through a deterministic, multi-persona evaluation process with mandatory benchmark data and logging into a central db.yaml.
Core Features & Use Cases
- Five-persona review workflow: Duplicate Hunter, Skeptic, Conservative, Rust Expert, Greybeard collaborate to approve or reject optimizations.
- Mandatory preflight and validation gates: Preflight checks, ci/validate, and measurement requirements are enforced.
- Structured recording: All outcomes are recorded in assets/db.yaml and assets/db/ entries for traceability and learning.
- Real-world use case: When optimizing a lading performance path, submit the patch for review with benchmark data to determine approval.
Quick Start
Run the review workflow to assess an optimization patch. For example: /lading-optimize-review
Dependency Matrix
Required Modules
None requiredComponents
assets
💻 Claude Code Installation
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Please help me install this Skill: Name: lading-optimize-review Download link: https://github.com/DataDog/lading/archive/main.zip#lading-optimize-review Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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