/go -- Goal-Driven Entry Point

SkillDev tools

The single entry point to the Conductor system - state your goal and everything is handled automatically

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the /go -- Goal-Driven Entry Point skill

What this skill tells your AI

The instructions your AI receives, as published by ibrahim-3d/orchestrator-supaconductor in skills/go/SKILL.md and read by ahel’s review.

The single entry point to the entire Conductor system.

Just state your goal. The system handles everything else.

Usage

/go <your goal>

Examples

/go Add Stripe payment integration
/go Fix the login bug where users get logged out
/go Build a dashboard with analytics
/go Refactor the asset generation to use caching

What Happens

When you invoke /go, follow this process:

1. Goal Analysis

Parse the user's goal from $ARGUMENTS:

  • Identify the type (feature, bugfix, refactor, etc.)
  • Estimate complexity
  • Extract key requirements

2. Track Detection

Check conductor/tracks.md for matching existing tracks:

  • If match found: Resume that track from its current state
  • If no match: Create a new track

3. For New Tracks

  1. Create track directory: conductor/tracks/{goal-slug}_{date}/
  2. Generate spec.md from the goal
  3. Generate plan.md with DAG
  4. Create metadata.json with v3 schema AND set superpower_enhanced: true (new tracks use superpowers by default)

Example metadata.json:

{
  "version": 3,
  "track_id": "goal-slug_20260213",
  "type": "feature",
  "status": "new",
  "superpower_enhanced": true,
  "loop_state": {
    "current_step": "NOT_STARTED",
    "step_status": "NOT_STARTED"
  }
}

4. Run the Evaluate-Loop

Invoke the conductor-orchestrator agent:

Use the conductor-orchestrator agent to run the evaluate-loop for this track.

The orchestrator will:

  • Detect current step from metadata
  • Check superpower_enhanced flag to determine which agents to use:
    • If true (new tracks): Dispatch superpowers (orchestrator-supaconductor:writing-plans, orchestrator-supaconductor:executing-plans, orchestrator-supaconductor:systematic-debugging)
    • If false/missing (legacy): Dispatch legacy loop agents (loop-planner, loop-executor, loop-fixer)
  • Monitor progress and handle failures
  • Complete the track or escalate if blocked

Decision Resolution

Behavior depends on conductor/config.json"mode":

  • "agentic" (default) — Fully autonomous. Never stops to ask the user. All decisions resolved by agents, leads, and board.
  • "human-in-the-loop" — Pauses at decision points (ambiguity, blockers, fix limits, high-impact decisions) to ask the user.

See conductor/config.json for current mode. Edit to switch.

Resume Existing Work

/go                    # Continues the active track
/go continue           # Same as above

Signals

GitHub stars
377
Forks
38
Last commit
Apr 2026
Advanced
Catalog kind
skill
Gateway key
go-ibrahim-3d
Source
github.com/ibrahim-3d/orchestrator-supaconductor