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Tri-model orchestration — run the same task through Claude + Codex + Gemini in parallel and synthesize the best answer.
Passed 21 of 22 test cases with the skill, and 9 of 22 without it.
and 9 more in the full report
12 fixed9 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are saving a CCG research summary for a topic named 'service-mesh' evaluated on date 2026-03-30. What exact filename pattern should be used inside the workspace research directory?
| Checked | Without skill | With skill |
|---|---|---|
| The filename follows the pattern `[C]ccg-service-mesh-2026-03-30.md`. | Missed | Passed |
The instructions your model reads when the skill loads.
Derived from oh-my-claudecode (MIT, Yeachan Heo). Adapted for the EvoNexus Engineering Layer.
EXPERIMENTAL. Tri-model orchestration: run the same prompt through Claude, Codex (OpenAI Codex / GPT-Code), and Gemini in parallel, then synthesize the best answer.
Note: This skill assumes external API access to Codex and Gemini, which may or may not be configured in EvoNexus. If only Claude is available, the skill degrades to single-model mode and warns the user.
workspace/development/research/[C]ccg-{topic}-{date}.md## CCG Synthesis — {topic}
### Models Consulted
- ✅ Claude (Opus 4.6)
- ✅ Codex (gpt-code-X)
test cases passed, vs 9 / 22 without
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