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Skill

/dev-ask

Advisory router — query Claude, Codex, or Gemini for a quick second opinion. Experimental — only Claude is guaranteed available; other models require dev-mcp-setup configuration.

From plugin
evo-nexus
520193 skills38 agents40 commands9 MCP
Install
$ npx -y skills add evolution-foundation/evo-nexus --skill dev-ask --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/dev-ask

Context preview

The summary Claude sees to decide when to auto-load this skill.

Advisory router — query Claude, Codex, or Gemini for a quick second opinion. Experimental — only Claude is guaranteed available; other models require dev-mcp-setup configuration.

SKILL.md

dev-ask.SKILL.md
name: dev-ask
description: Advisory router — query Claude, Codex, or Gemini for a quick second opinion. Experimental — only Claude is guaranteed available; other models require dev-mcp-setup configuration.

Dev Ask

Derived from oh-my-claudecode (MIT, Yeachan Heo). Adapted for the EvoNexus Engineering Layer.

**EXPERIMENTAL.** Quick advisory query to a specific LLM (Claude, Codex, Gemini) for a second opinion. Different from `dev-ccg` which runs all three in parallel — `dev-ask` is single-shot.

Use When

  • You want a fast second opinion from a specific model
  • Comparing how different models approach the same problem
  • Validating Claude's answer against another model

Do Not Use When

  • Need consensus across models → use `dev-ccg`
  • Just need an answer → ask the active session directly
  • Codex/Gemini APIs not configured → only Claude available, fall back

Workflow

1. **Pick the target model:** `claude` | `codex` | `gemini` 2. **Format the question** model-agnostically 3. **Send** via the appropriate API 4. **Return** the answer with the model's name attached 5. Optional: save to `workspace/development/research/[C]ask-{topic}-{date}.md`

Configuration

| Model | Required setup | |---|---| | Claude | Native — always available | | Codex | OpenAI API key configured via `dev-mcp-setup` | | Gemini | Google API key configured via `dev-mcp-setup` |

If a target model isn't configured, the skill warns: > "{model} is not configured. Only Claude is currently available. Configure via `dev-mcp-setup` or use `dev-ccg` to compare available models."

Output Format

## Ask — {target model}

### Question
{question}

### Answer (from {model})
{answer}

### Note
[Any caveats — model version, response time, confidence, etc.]

Pairs With

  • `dev-ccg` (multi-model parallel)
  • `dev-mcp-setup` (configures non-Claude APIs)
  • `@apex-architect` (often the consumer of multi-model perspectives)
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