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fusion-algorithm

Compare multiple algorithm options and pick the best; use when choosing or optimizing an algorithm.

SKILL.md

Full skill instructions

Fusion Algorithm

Overview

Use an F-thread: three workers in separate git worktrees plus a judge queen. Each worker implements the algorithm differently. The queen compares and selects a winner.

Inputs

  • Algorithm description

Workflow

  1. Verify git and mprocs.
  2. Create session variables:
    • SESSION_ID, BASE_BRANCH, PROJECT_ROOT, WORKTREE_ROOT
  3. Create .hive/​sessions/<session-id> and WORKTREE_ROOT.
  4. Create worktrees:
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
  1. Write tasks.json and worker prompts.
  2. Write .hive/​mprocs.yaml and launch mprocs.

tasks.json Template

{
  "session": "{SESSION_ID}",
  "created": "{ISO_TIMESTAMP}",
  "status": "active",
  "thread_type": "F-Thread (Fusion)",
  "task_type": "fusion-algorithm",
  "algorithm": {"description": "{ALGO_DESC}"},
  "base_branch": "{BASE_BRANCH}",
  "worktrees": {
    "impl-a": {"path": "{WORKTREE_ROOT}/​impl-a", "branch": "fusion/​{SESSION_ID}/​impl-a", "worker": "worker-a"},
    "impl-b": {"path": "{WORKTREE_ROOT}/​impl-b", "branch": "fusion/​{SESSION_ID}/​impl-b", "worker": "worker-b"},
    "impl-c": {"path": "{WORKTREE_ROOT}/​impl-c", "branch": "fusion/​{SESSION_ID}/​impl-c", "worker": "worker-c"}
  }
}

Worker Prompt Outline

  • Worker A: clean, readable implementation
  • Worker B: alternative approach or data structure
  • Worker C: performance-focused implementation

Queen Prompt Outline

  • Compare correctness, complexity, readability, and test results
  • Pick a winner or merge best elements

mprocs Launch

mprocs --config .hive/​mprocs.yaml

Output

  • Three implementations in worktrees and a final evaluation