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claude-codedata

Claude-skill-registry fusion-datamodel

Compare data model designs and pick the best fit; use when modeling new data or refactoring schemas.

install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/fusion-datamodel" ~/.claude/skills/majiayu000-claude-skill-registry-fusion-datamodel && rm -rf "$T"
manifest: skills/data/fusion-datamodel/SKILL.md
tags
#data-modeling#schema-comparison#database-design#model-evaluation
source content

Fusion Data Model

Overview

Use an F-thread: three workers propose different data models. The queen evaluates tradeoffs.

Inputs

  • Entities, relationships, and access patterns

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: normalized relational model
  • Worker B: denormalized or document model
  • Worker C: hybrid or event-based model

Queen Prompt Outline

  • Compare performance, migration cost, and correctness

mprocs Launch

mprocs --config .hive/mprocs.yaml

Output

  • Selected model with rationale and migration notes