Documentation Index Fetch the complete documentation index at: https://mintlify.com/SynkraAI/aiox-core/llms.txt
Use this file to discover all available pages before exploring further.
What are Custom Agents?
Custom agents extend AIOX with domain-specific AI personas. Each agent has:
Persona Identity, communication style, and behavioral traits
Commands Available actions the agent can perform
Tasks Executable workflows the agent follows
Context Domain knowledge, templates, and checklists
AIOX agents use the autoClaude V3 format - a YAML-based definition embedded in Markdown.
File Structure
# agent-id
ACTIVATION-NOTICE: This file contains your full agent operating guidelines.
CRITICAL: Read the full YAML BLOCK below...
## COMPLETE AGENT DEFINITION FOLLOWS
\`\`\` yaml
# Full agent definition here
\`\`\`
Complete Example
autoClaude :
version : '3.0'
migratedAt : '2026-01-29T02:24:10.724Z'
agent :
name : DataWizard
id : data-wizard
title : Data Analysis Specialist
icon : 📊
whenToUse : |
Use for data analysis, visualization, statistical modeling,
and insights generation.
persona_profile :
archetype : Analyst
zodiac : ♍ Virgo
communication :
tone : analytical
emoji_frequency : low
vocabulary :
- analisar
- investigar
- correlacionar
- visualizar
greeting_levels :
minimal : '📊 data-wizard Agent ready'
named : "📊 DataWizard (Analyst) ready to analyze!"
archetypal : '📊 DataWizard the Analyst ready to uncover insights!'
signature_closing : '— DataWizard, revelando padrões 📈'
persona :
role : Expert Data Analyst & Insights Generator
style : Methodical, detail-oriented, evidence-based
identity : Specialist who transforms raw data into actionable insights
focus : Data quality, statistical rigor, clear visualization
core_principles :
- Data Quality First
- Statistical Rigor
- Reproducible Analysis
- Clear Communication
- Ethical Data Use
commands :
- name : help
visibility : [ full , quick , key ]
description : 'Show all available commands'
- name : analyze-dataset
visibility : [ full , quick , key ]
description : 'Perform comprehensive data analysis'
- name : create-visualization
visibility : [ full , quick ]
description : 'Generate charts and graphs'
- name : statistical-test
visibility : [ full ]
args : '{test-type}'
description : 'Run statistical test'
dependencies :
tasks :
- analyze-dataset.md
- create-visualization.md
templates :
- analysis-report-tmpl.md
checklists :
- data-quality-checklist.md
data :
- statistical-methods.yaml
Agent Structure Breakdown
autoClaude Block
Defines the agent format version:
autoClaude :
version : '3.0'
migratedAt : '2026-01-29T02:24:10.724Z'
Core identification:
agent :
name : DataWizard # Display name
id : data-wizard # Unique identifier (kebab-case)
title : Data Analyst # Role title
icon : 📊 # Visual identifier
whenToUse : |
Brief description of when to activate this agent
Persona Profile
Defines personality and communication style:
persona_profile :
archetype : Analyst
zodiac : ♍ Virgo
Available Archetypes:
Visionary (♐ Sagittarius)
Builder (♒ Aquarius)
Guardian (♍ Virgo)
Analyst (♍ Virgo)
Conductor (♎ Libra)
Strategist (♑ Capricorn)
communication :
tone : analytical # conceptual, pragmatic, analytical, etc.
emoji_frequency : low # low, medium, high
vocabulary :
- analisar
- investigar
greeting_levels :
minimal : '📊 data-wizard Agent ready'
named : "📊 DataWizard (Analyst) ready!"
archetypal : '📊 DataWizard the Analyst ready!'
signature_closing : '— DataWizard, revelando padrões 📈'
Persona Details
Defines role and principles:
persona :
role : Expert Data Analyst & Insights Generator
style : Methodical, detail-oriented, evidence-based
identity : Specialist who transforms raw data into insights
focus : Data quality, statistical rigor, visualization
core_principles :
- Data Quality First
- Statistical Rigor
- Reproducible Analysis
- Clear Communication
- Ethical Data Use
Commands
Defines available actions:
commands :
- name : help
visibility : [ full , quick , key ] # Where to show this command
description : 'Show all available commands'
- name : analyze-dataset
visibility : [ full , quick , key ]
description : 'Perform comprehensive data analysis'
- name : create-visualization
visibility : [ full , quick ]
description : 'Generate charts and graphs'
- name : statistical-test
visibility : [ full ]
args : '{test-type}' # Command arguments
description : 'Run statistical test'
Visibility Levels:
key - Show in quick commands (most important)
quick - Show in abbreviated help
full - Show only in full help
Dependencies
Links to tasks, templates, and data:
dependencies :
tasks :
- analyze-dataset.md
- create-visualization.md
templates :
- analysis-report-tmpl.md
checklists :
- data-quality-checklist.md
data :
- statistical-methods.yaml
File Resolution:
Tasks: .aiox-core/development/tasks/{name}
Templates: .aiox-core/product/templates/{name}
Checklists: .aiox-core/product/checklists/{name}
Data: .aiox-core/product/data/{name}
Creating an Agent from Scratch
Create Agent File
Create a new file in .aiox-core/development/agents/: touch .aiox-core/development/agents/my-agent.md
Add Agent Definition
Copy the template structure and customize: # my-agent
ACTIVATION-NOTICE : This file contains your full agent operating guidelines.
## COMPLETE AGENT DEFINITION FOLLOWS
\`\`\`yaml
autoClaude :
version : '3.0'
agent :
name : MyAgent
id : my-agent
title : My Specialist
icon : 🎯
whenToUse : 'When to use this agent'
# ... rest of definition
\`\`\`
Define Commands
Add commands your agent can perform: commands :
- name : help
visibility : [ full , quick , key ]
description : 'Show available commands'
- name : my-task
visibility : [ full , quick , key ]
description : 'Perform my task'
Create Task Files
Create corresponding task files in .aiox-core/development/tasks/: touch .aiox-core/development/tasks/my-task.md
Sync to IDEs
Sync your new agent to all IDEs:
Tasks define executable workflows. They must follow TASK-FORMAT-SPECIFICATION-V1 .
Task Structure
---
autoClaude :
version : '3.0'
pipelinePhase : exec-subtask
deterministic : true
elicit : false
composable : true
verification :
type : command
command : 'npm test'
selfCritique :
required : true
checklistRef : 'self-critique-checklist.md'
---
# Task: My Task
## Entrada
- Required input 1
- Required input 2
## Saída
- Expected output 1
- Expected output 2
## Checklist
- [ ] Step 1
- [ ] Step 2
- [ ] Step 3
## Instruções
1. Detailed step-by-step instructions
2. With clear guidance
3. For the agent to follow
Task Properties
Where in ADE pipeline this task runs:
spec-gather - Spec Pipeline: Gathering requirements
spec-assess - Spec Pipeline: Assessing complexity
spec-research - Spec Pipeline: Researching dependencies
spec-write - Spec Pipeline: Writing spec
spec-critique - Spec Pipeline: Critiquing spec
exec-plan - Execution: Creating plan
exec-subtask - Execution: Executing subtask
qa-review - QA: Reviewing build
memory-capture - Memory: Capturing insights
Whether task produces predictable output:
true - Same input always produces same output
false - Output may vary
Whether task requires user interaction:
true - Must interact with user
false - Can run autonomously
Whether task can be part of workflow:
true - Can be chained with other tasks
false - Standalone only
How to verify task completion:
none - No verification
command - Run shell command
manual - Human verification
api - API call
browser - Browser check
Self-review requirements:
required: true - Mandatory self-critique
checklistRef - Checklist to use
ADE Capabilities
Give your agent ADE (Autonomous Development Engine) capabilities:
autoClaude :
version : '3.0'
specPipeline :
canGather : true # Can gather requirements
canAssess : false # Cannot assess complexity
canResearch : false # Cannot research dependencies
canWrite : false # Cannot write specs
canCritique : false # Cannot critique specs
execution :
canCreatePlan : false # Cannot create plans
canCreateContext : false
canExecute : true # Can execute subtasks
canVerify : true # Can verify results
recovery :
canTrackAttempts : true # Can track attempts
canRollback : true # Can rollback
qa :
canReview : false # Cannot review builds
canRequestFix : false # Cannot request fixes
memory :
canCaptureInsights : true # Can capture insights
canExtractPatterns : false # Cannot extract patterns
canDocumentGotchas : true # Can document gotchas
Agent Templates
Data Analysis Agent
Metadata
Commands
ADE Capabilities
agent :
name : DataWizard
id : data-wizard
title : Data Analysis Specialist
icon : 📊
Content Writer Agent
Metadata
Commands
ADE Capabilities
agent :
name : ScribeMaster
id : content-writer
title : Content Writing Specialist
icon : ✍️
DevOps Agent
Metadata
Commands
ADE Capabilities
agent :
name : OpsCommander
id : devops
title : DevOps & Infrastructure Specialist
icon : 🔧
Activation Instructions
Control how your agent activates:
activation-instructions :
- STEP 1 : Read THIS ENTIRE FILE
- STEP 2 : Adopt the persona defined below
- STEP 3 : |
Display greeting using native context:
1. Show: "{icon} {greeting_levels.archetypal}"
2. Show: "**Role:** {persona.role}"
3. Show: "**Available Commands:**" (key commands)
4. Show: "Type `*guide` for help"
5. Show: "{signature_closing}"
- STEP 4 : Display the greeting
- STEP 5 : HALT and await user input
- STAY IN CHARACTER!
Using Squads for Organization
For domain-specific agent collections, use Squads :
squads/data-squad/
├── squad.yaml
├── agents/
│ ├── data-wizard.md
│ ├── ml-engineer.md
│ └── data-viz.md
├── tasks/
│ ├── analyze-dataset.md
│ └── train-model.md
└── workflows/
└── full-analysis.yaml
Best Practices
Single Responsibility Each agent should have one clear purpose
Clear Commands Command names should be self-explanatory
Comprehensive Help Always include a *help command
Task-First Design Define tasks before creating agents
Use Templates Provide templates for common outputs
Enable Self-Critique Require self-review for quality
Testing Your Agent
Verify Task Execution
Test each task with real inputs
Troubleshooting
# Check file exists
ls .aiox-core/development/agents/my-agent.md
# Validate YAML
npx js-yaml .aiox-core/development/agents/my-agent.md
# Re-sync
npm run sync:ide
Check command is in dependencies.tasks
Verify task file exists
Ensure task follows TASK-FORMAT-SPEC-V1
Check activation-instructions are correct
Verify greeting template variables exist
Test in minimal IDE (Codex CLI)
Migration from V2 to V3
Migrate legacy agents to autoClaude V3:
@devops
# Inventory V2 agents
* inventory-assets
# Analyze dependencies
* analyze-paths
# Migrate single agent
* migrate-agent my-agent
# Or batch migrate all
* migrate-batch
See ADE Epic 2 for details.
ADE System Give agents autonomous capabilities
Squads Organize agents into teams
IDE Integration Deploy agents to your IDE
Agent Reference See existing agent examples
Examples Repository
Custom Agent Examples Community-contributed custom agents for inspiration