/dev-deep-dive
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.
$ npx -y skills add evolution-foundation/evo-nexus --skill dev-deep-dive --agent claude-codeHow 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-deep-dive
Context preview
The summary Claude sees to decide when to auto-load this skill.
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.
SKILL.md
dev-deep-dive.SKILL.mdname: 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.
Dev Deep Dive
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.
Use When
- Production issue with unclear cause AND unclear scope of fix
- Bug report that needs both root cause analysis and clarification of "what does fixed look like?"
- Strategic problem where you don't know what to build OR why the current state isn't working
Workflow
Stage 1 — Causal trace
Hand off to `@trail-tracer`:
- Generate competing hypotheses
- Collect evidence FOR and AGAINST each
- Apply lenses (systems / premortem / science)
- Identify the discriminating probe
- Save report to `workspace/development/debug/[C]trace-{topic}-{date}.md`
Stage 2 — Requirements crystallization
Hand off to `@echo-analyst` + `dev-deep-interview`:
- Surface unstated assumptions
- Define scope boundaries
- Identify missing acceptance criteria
- Save spec to `workspace/development/specs/[C]spec-{topic}-{date}.md`
Stage 3 — Synthesis
- Combine the trace report and the requirements spec
- Output: a unified understanding of "what's broken AND what done looks like"
- Hand off to `@compass-planner` to plan the actual fix
Pairs With
- `@trail-tracer` (Stage 1)
- `@echo-analyst` (Stage 2)
- `dev-deep-interview` (Stage 2)
- `@compass-planner` (Stage 3 handoff)
Read more
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.
Dev Deep Dive
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.
Use When
- Production issue with unclear cause AND unclear scope of fix
- Bug report that needs both root cause analysis and clarification of "what does fixed look like?"
- Strategic problem where you don't know what to build OR why the current state isn't working
Workflow
Stage 1 — Causal trace
Hand off to `@trail-tracer`:
- Generate competing hypotheses
- Collect evidence FOR and AGAINST each
- Apply lenses (systems / premortem / science)
- Identify the discriminating probe
- Save report to `workspace/development/debug/[C]trace-{topic}-{date}.md`
Stage 2 — Requirements crystallization
Hand off to `@echo-analyst` + `dev-deep-interview`:
- Surface unstated assumptions
- Define scope boundaries
- Identify missing acceptance criteria
- Save spec to `workspace/development/specs/[C]spec-{topic}-{date}.md`
Stage 3 — Synthesis
- Combine the trace report and the requirements spec
- Output: a unified understanding of "what's broken AND what done looks like"
- Hand off to `@compass-planner` to plan the actual fix
Pairs With
- `@trail-tracer` (Stage 1)
- `@echo-analyst` (Stage 2)
- `dev-deep-interview` (Stage 2)
- `@compass-planner` (Stage 3 handoff)
Other skills on evo-nexus.
- /ai-image-creator
Generate PNG images using AI (multiple models via OpenRouter including Gemini, FLUX.2, Riverflow, SeedDream, GPT-5 Image, proxied through Cloudflare AI Gateway BYOK). Also analyze/describe existing images using multimodal AI vision. Use when user asks to "generate an image",
Open skill - /create-agent
Create a new custom agent for the workspace. Guides the user through defining agent name, domain, personality, skills, model, and memory folder. Use when the user says 'create an agent', 'new agent', 'add an agent', 'I need a custom agent', or wants to create a specialized agent
Open skill - /create-command
Create a new slash command for Claude Code. Guides the user through defining the command name, what it does, and generates the markdown file in .claude/commands/. Use when the user says 'create a command', 'new command', 'add a slash command', 'I want a shortcut for', or wants
Open skill - /create-goal
Create a Mission, Project, or Goal (Mission → Project → Goal → Task hierarchy) in EvoNexus. Guides the user through picking a mission, choosing or creating a project, defining a measurable goal with metric_type and target_value. Writes to the SQLite goals tables via POST
Open skill - /create-heartbeat
Create a new heartbeat (proactive agent scheduled with a decision prompt) for EvoNexus. Guides the user through picking an agent, setting interval, wake triggers, and the decision prompt that governs when the agent acts. Writes to config/heartbeats.yaml with pydantic validation.
Open skill - /create-integration
Create a new custom integration (API/service wrapper) for the workspace. Guides the user through defining the integration's slug, display name, description, category, and required env keys. Writes .claude/skills/custom-int-{slug}/SKILL.md via POST /api/integrations/custom. Use
Open skill