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Piebald-AIPiebald-AI/splitrail/.claude/skills/performance/SKILL.md

performance

Skill228 starsChanged 5 months agoMITView on GitHub

Performance optimization guidelines for Splitrail. Use when optimizing parsing, reducing memory usage, or improving throughput.

78 other projects use a version of this.

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Used with

Projects with it also use app-brief, design-from-app and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • StijnusSkill

    app-brief

    One-page brief (docs/BRIEF.md) for a new macOS app, written before any code. Use when the user has an app idea, wants to replace an app they pay for, or the research and clone skills are done.

    Also in 3 projects that use this

  • StijnusSkill

    design-from-app

    Rebuild the look of an app the user likes as a native SwiftUI design kit, by measuring its screenshots (sizes, spacing, type, colors, icons), building its parts, and comparing pixel by pixel until they match. Use when the user names an app whose look they want, shares screenshots of one, or says "make it look like X".

    Also in 3 projects that use this

  • FlorianBruniauxSkill

    tdd-rust

    Also in 3 projects that use this

  • RodrigoTomeESSkill

    web-quality-audit

    Comprehensive web quality audit covering performance, accessibility, SEO, and best practices. Use when asked to "audit my site", "review web quality", "run lighthouse audit", "check page quality", or "optimize my website".

    Also in 9 projects that use this

  • launchapp-devSkill

    layout-grid

    Define responsive layout grid systems with columns, gutters, margins, and breakpoint behavior.

    Also in 3 projects that use this

  • MohamedAbdallah-14Skill

    app-icon

    Generate an app icon from a single 1024² master and fan out to iOS (AppIcon.appiconset with squircle-ready 1024 opaque), Android (adaptive foreground + background + Android 13 monochrome), PWA (192/512 + 512 maskable with 80% safe zone), and visionOS (3-layer parallax).

    Also in 3 projects that use this

  • +1 more from Stijnus

The file

We split this skill into the rules it gives an agent

4 rules. 0 are common, 2 are distinctive, and 2 are very specific to this project.

  • 0

    Common

    Most of the 52 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Prefer parallel processing for I/O-bound operations

    line 20
  2. Very specific:

    Use parking_lot locks over std::sync for better performance

    line 21
  3. Distinctive:

    Avoid loading all messages into memory when not needed

    line 22
  4. Very specific:

    Use BTreeMap for date-ordered data (sorted iteration)

    line 23

“Common” is measured: kept by at least 6 in 10 of the 52 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Performance Considerations

Techniques Used

  • Parallel analyzer loading - futures::join_all() for concurrent stats loading
  • Parallel file parsing - rayon for parallel iteration over files
  • Fast JSON parsing - simd_json exclusively for all JSON operations (note: rmcp crate re-exports serde_json for MCP server types)
  • Fast directory walking - jwalk for parallel directory traversal
  • Lazy message loading - TUI loads messages on-demand for session view

See existing analyzers in src/analyzers/ for usage patterns.

Guidelines

  1. Prefer parallel processing for I/O-bound operations
  2. Use parking_lot locks over std::sync for better performance
  3. Avoid loading all messages into memory when not needed
  4. Use BTreeMap for date-ordered data (sorted iteration)

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