A goal-driven command that analyzes, plans, and executes project tasks automatically.
Install
mkdir -p .claude/skills/go-ibrahim-3d && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/10953" && unzip -o skill.zip -d .claude/skills/go-ibrahim-3d && rm skill.zipInstalls to .claude/skills/go-ibrahim-3d
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
The single entry point to the Conductor system - state your goal and everything is handled automaticallyKey capabilities
- →Parses user goals into tasks
- →Detects or initializes work tracks
- →Generates specifications and plans
- →Triggers the conductor orchestrator
How it works
It acts as the primary entry point, analyzing goals to create or resume tracks and delegating execution to the conductor orchestrator.
Inputs & outputs
When to use go
- →Initiating a new feature build
- →Fixing a specific bug
- →Refactoring code modules
- →Generating a project dashboard
About this skill
/go -- Goal-Driven Entry Point
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
- Create track directory:
conductor/tracks/{goal-slug}_{date}/ - Generate
spec.mdfrom the goal - Generate
plan.mdwith DAG - Create
metadata.jsonwith v3 schema AND setsuperpower_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_enhancedflag 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
When not to use it
- →When the user is not initiating a new task or resuming a track
Limitations
- →Requires a defined goal to function
- →Depends on the conductor system structure
How it compares
It provides a single, goal-driven entry point that automates the entire setup and orchestration process.
Compared to similar skills
go side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| go (this skill) | 0 | 4mo | No flags | Beginner |
| autonomous-agents | 10 | 6mo | No flags | Advanced |
| agent-goal-planner | 2 | 6mo | No flags | Advanced |
| planner | 1 | 6mo | No flags | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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