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dT-Tb-labs

@dt-tb-labs source repo

3 published skills

  1. Agy · dt-tb-labs bundle
    Use when user invokes /agy or asks for a second-opinion code review via Google Antigravity CLI (`agy`). Cross-review sibling skill.
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  2. Babel · dt-tb-labs bundle
    Use when the user invokes /babel, or asks to orchestrate multiple models for a dev task ("多モデルで開発", "develop with multiple models", "5モデルで", "with 5 models", "複数AIでレビューさせて", "have multiple AIs review it"), or asks for a measured improvement loop ("ループエンジニアリング", "loop engineering", "スコアを上げるまで回して", "iterate until the benchmark improves", "optimize against a metric"). Orchestrates 5 models (Fable5/Opus/Sonnet/GPT-5.6-SOL/agy) across the superpowers pipeline (brainstorm→plan→implement→review), injecting multi-model debate/build-debug/acceptance-gate into each phase to exceed single-frontier-model quality (multi-model ensemble pattern). Routes measurable search tasks into a multi-model optimization loop against an automated oracle, and proposes a Workflow fan-out when the task is many independent sites. Not for JavaScript Babel transpiler tasks.
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  3. Cdx Sol · dt-tb-labs bundle
    Use when the user invokes /cdx-sol or wants to send a task to GPT-5.6-SOL (OpenAI's Codex model) from Claude Code stably and token-efficiently. Wraps codex-companion via cdx-sol.mjs — background+poll for 120s-timeout safety, read-only by default, effort-tier + terse-output token control. Runs on the ChatGPT subscription (no per-token API billing).
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