ai-image-creator
Generate PNG images using AI (multiple models via OpenRouter including Gemini, FLUX.2, Riverflow, SeedDream, GPT-5 Image, proxied…
Two-stage investigation — causal trace (via @trail-tracer) followed by requirements crystallization (via @echo-analyst + dev-deep-interview). Use when a problem is both unclear in cause AND unclear in scope.
Claude Code
$ npx -y skills add evolution-foundation/evo-nexus --skill dev-deep-dive --agent claude-code
Codex
$ npx skills add evolution-foundation/evo-nexus --skill dev-deep-dive -a codex -y
Cursor
$ npx skills add evolution-foundation/evo-nexus --skill dev-deep-dive -a cursor -y
Gemini CLI
$ npx skills add evolution-foundation/evo-nexus --skill dev-deep-dive -a gemini-cli -y
GitHub Copilot
$ npx skills add evolution-foundation/evo-nexus --skill dev-deep-dive -a github-copilot -y
OpenCode
$ npx skills add evolution-foundation/evo-nexus --skill dev-deep-dive -a opencode -y
Windsurf
$ npx skills add evolution-foundation/evo-nexus --skill dev-deep-dive -a windsurf -y
name: dev-deep-dive description: Two-stage investigation — causal trace (via @trail-tracer) followed by requirements crystallization (via @echo-analyst + dev-deep-interview). Use when a problem is both unclear in cause AND unclear in scope.
Derived from oh-my-claudecode (MIT, Yeachan Heo). Adapted for the EvoNexus Engineering Layer.
A two-stage investigation that combines causal tracing with requirements crystallization. Use when both the cause AND the scope of a problem are ambiguous.
Hand off to `@trail-tracer`:
Hand off to `@echo-analyst` + `dev-deep-interview`:
Generate PNG images using AI (multiple models via OpenRouter including Gemini, FLUX.2, Riverflow, SeedDream, GPT-5 Image, proxied…
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