askill
fusion-perf

fusion-perfSafety 85Repository

Compare performance optimization options and choose the most effective; use when tuning or speeding up a system.

0 stars
1.2k downloads
Updated 2/5/2026

Package Files

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SKILL.md

Fusion Performance

Overview

Use an F-thread: three workers implement different optimizations in separate worktrees. The queen compares results.

Inputs

  • Performance problem and metrics

Workflow

  1. Verify git and mprocs.
  2. Create session variables and worktrees.
  3. Write tasks.json, worker prompts, and queen prompt.
  4. Launch mprocs.

Worktree Commands

git worktree add "{WORKTREE_ROOT}/impl-a" -b fusion/{SESSION_ID}/impl-a
git worktree add "{WORKTREE_ROOT}/impl-b" -b fusion/{SESSION_ID}/impl-b
git worktree add "{WORKTREE_ROOT}/impl-c" -b fusion/{SESSION_ID}/impl-c

Worker Prompt Outline

  • Worker A: algorithmic improvements
  • Worker B: caching or batching
  • Worker C: concurrency or IO tuning

Queen Prompt Outline

  • Compare benchmarks, complexity, and regression risk

mprocs Launch

mprocs --config .hive/mprocs.yaml

Output

  • Selected optimization strategy with benchmarks

Install

Download ZIP
Requires askill CLI v1.0+

AI Quality Score

63/100Analyzed 2/18/2026

A moderately useful performance optimization skill with a clear F-thread methodology but lacking complete implementation details. The skill provides good structural guidance (workflow, commands, prompts outline) but requires the user to fill in significant content like actual prompts, benchmark tools, and metric definitions. The .codex path and project-specific config references indicate internal-only design, reducing reusability. Tags don't directly relate to the skill content (github-actions, observability, prompting seem mismatched)."

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Metadata

Licenseunknown
Version-
Updated2/5/2026
Publisherrdfitted

Tags

github-actionsobservabilityprompting