Commands
The command surface for deep-interview, ralplan, rlm, team, and ultragoal.
Gajae-Code keeps the public agent surface intentionally small. Instead of a sprawling skill zoo, it ships four default workflow skills and improves by making this one method better. Invoke a skill inside a GJC session with /skill:<name>.
The four workflow skills
| Skill | What it does |
|---|---|
deep-interview | Removes ambiguity before planning or code changes. |
ralplan | Builds and critiques a plan before mutation. |
team | Optionally coordinates tmux-backed parallel execution when the work benefits from multiple workers. |
ultragoal | Tracks durable goals through implementation, revisions, verification, and evidence summaries. |
rlm is separate from the four default workflow skills: start it with gjc rlm when you want a research/REPL session instead of the normal coding-agent loop.
The working loop
The skills compose into one useful loop:
deep-interview -> ralplan -> ultragoal
└─ optional team execution when parallel tmux workers helpUse deep-interview to clarify intent, ralplan to critique the approach, and ultragoal to carry the work through implementation, revision, verification, and an evidence summary. Add team only when the task benefits from coordinated parallel workers — team is an optional execution mode, not a required handoff step.
deep-interview
Clarify the real bug or feature, affected behavior, non-goals, and acceptance checks.
ralplan
Build and critique a plan — the gate before any file mutation.
rlm
Run notebook-style research with gated Python, read, and web search.
team
Coordinate tmux-backed parallel workers when splitting work pays off.
ultragoal
Drive durable goals through implementation, verification, and evidence.
A full operator pass
A concrete bug-fix pass ties the loop together:
/skill:deep-interview clarify the bug, affected behavior, non-goals, and acceptance checks
/skill:ralplan turn the clarified bug report into a reviewed fix plan
gjc ultragoal create-goals --brief-file <approved-plan>
# Optional only for parallel work:
gjc team 2:executor "split implementation and verification for this bug fix"
gjc ultragoal complete-goalsThis describes the operator sequence, not hidden automation: the agent still reports what it changed, what it revised after findings, what checks ran, and what evidence supports the fix.
The agents behind the skills
The workflow skills lean on four bundled role agents:
Memory
How Gajae-Code automatically extracts durable knowledge from past sessions and recalls a compact summary into each new one.
deep-interview
The clarification skill that removes ambiguity before any planning or code change — the real bug or feature, affected behavior, non-goals, and acceptance checks.