name: copilot-agents-ff15-openspec-non-mcp-sync
description: Sync GitHub Copilot agents for FF15-inspired OpenSpec workflow (non-MCP version). Team includes Noctis (orchestrator + OpenSpec creator), Iris (issue management), Gladiolus (implementation), Prompto (code quality), Ignis (documentation), and Lunafreya (PR creation). Supports multiple OpenSpec workflows (new, continue, ff, explore, verify).

FF15 Copilot Agents - OpenSpec Edition (Non-MCP)

Manages GitHub Copilot agent definitions and prompts based on Final Fantasy XV team dynamics, optimized for OpenSpec workflow using serena-skills.

Quick Start

Sync all agents, prompts, and docs to a project:

python skills/copilot-agents-ff15-openspec-non-mcp-sync/scripts/sync_agents.py --target /path/to/project

The FF15 Team (OpenSpec Edition)

Workflow

The streamlined workflow minimizes user intervention and supports multiple approaches:

Standard Workflow (New Change)

1. Noctis collaborates with user to create OpenSpec documents (artifact-based: proposal → tasks → design → specs)
2. ⏸️ User approves specification
3. Iris creates GitHub Issue (if requested)
4. Gladiolus implements based on OpenSpec
5. Prompto improves code quality (OpenSpec + review-policy)
6. Ignis updates documentation
7. Noctis verifies tasks completion and archives OpenSpec
8. Lunafreya creates PR
9. Noctis notifies user and requests verification
10. ⏸️ User verifies implementation

Alternative Workflows

• Continue: Resume incomplete change, create next artifact
• Fast-Forward: Create all artifacts at once, skip iterative steps
• Explore: Collaborative exploration before creating change
• Verify: Validate implementation before archiving

Team Philosophy

The FF15 OpenSpec team focuses on autonomous execution with minimal interruptions:
- Noctis creates specifications collaboratively with flexible workflows (new/continue/ff/explore), orchestrates execution, verifies completion, and archives work
- Iris manages the issue lifecycle
- Gladiolus delivers solid implementations
- Prompto ensures quality autonomously
- Ignis keeps documentation current
- Lunafreya completes the journey with pull request creation

Invocation Methods

Slash Command

Individual Agent Calls

Each agent can be invoked directly:
- @Noctis - Create OpenSpec and orchestrate workflow
- @Iris - Create/manage GitHub Issues
- @Gladiolus - Implement features
- @Prompto - Improve code quality
- @Ignis - Update documentation
- @Lunafreya - Create PR

Usage

Sync All (agents, prompts, and docs)

python skills/copilot-agents-ff15-openspec-non-mcp-sync/scripts/sync_agents.py --target /path/to/project

Sync Specific Agents

python skills/copilot-agents-ff15-openspec-non-mcp-sync/scripts/sync_agents.py \
  --target /path/to/project \
  --agents noctis,iris,gladiolus,prompto,ignis,lunafreya

Sync Prompts Only

python skills/copilot-agents-ff15-openspec-non-mcp-sync/scripts/sync_agents.py \
  --target /path/to/project \
  --prompts-only

Script Options

Agent Details

🎯 Noctis (Orchestrator + Spec Creator)

Primary Responsibilities:
- Create OpenSpec documents through user dialogue
- Coordinate implementation workflow
- Notify users at key milestones

When to use:

@Noctis Implement feature: user authentication with JWT

📋 Iris (Issue Management)

Primary Responsibilities:
- Create and manage GitHub Issues
- Refine requirements and specifications

When to use:

@Iris Create issue for the performance optimization we discussed

💪 Gladiolus (Implementation)

Primary Responsibilities:
- Implement features based on OpenSpec
- Follow TDD principles
- Execute until completion

When to use:

@Gladiolus Implement the feature according to OpenSpec change-001

✨ Prompto (Code Quality)

Primary Responsibilities:
- Verify OpenSpec compliance
- Enforce review-policy guidelines
- Refactor for clarity and maintainability

When to use:

@Prompto Improve the code quality of the recent implementation

📚 Ignis (Documentation + Archiving)

Primary Responsibilities:
- Update README and CHANGELOG
- Maintain project documentation
- Document new features and changes
- Archive OpenSpec changes

When to use:

@Ignis Update documentation for the new authentication feature

🌙 Lunafreya (PR Creation)

Primary Responsibilities:
- Create pull requests
- Ensure CI passes
- Finalize implementation delivery

When to use:

@Lunafreya Create a PR for the completed implementation

Serena Skills Integration

Agents can optionally leverage serena-skills for efficient code investigation:

Key Features

• Efficient Code Reading: Use symbolic search instead of reading entire files
• Symbol-level Operations: Find and modify specific code symbols
• Impact Analysis: Understand code dependencies
• Pattern Search: Flexible code searches

Agent-Specific Usage

• Noctis: Workflow coordination with code context
• Gladiolus: Symbol-level editing for implementation
• Prompto: Safe refactoring with impact analysis
• Ignis: Code understanding for documentation

See individual agent files for detailed usage guidelines.

Dependencies

These agents can leverage serena-skills Agent Skill when available:

# Verify serena-skills (optional)
ls skills/serena-skills/SKILL.md

Example Workflows

Simple Workflow - User Describes → Noctis Orchestrates

User: @Noctis Add user profile page with avatar upload

Noctis:
  1. Creates OpenSpec (proposal, tasks, design)
  2. Requests user approval
  3. Delegates to Iris (Issue creation)
  4. Delegates to Gladiolus (Implementation)
  5. Delegates to Prompto (Quality improvement)
  6. Delegates to Ignis (Documentation + Archiving)
  7. Delegates to Lunafreya (PR creation)
  8. Notifies user with PR link

Result: Feature implemented with PR ready for merge

Direct Agent Usage

@Iris Create an issue for the CSV export feature
→ Direct to Iris for issue creation

@Gladiolus Implement according to OpenSpec change-042
→ Direct implementation

@Prompto Review and improve the authentication code
→ Direct quality improvement

Key Differences from Serena-Sync Version

Notes

• Non-MCP version uses serena-skills Agent Skill for code intelligence
• OpenSpec workflow ensures clear specifications before implementation
• Minimal user intervention (approval + verification only)
• Autonomous quality assurance through Prompto
• Complete workflow from specification to PR

Related Files

• agents/ - Agent definitions
• prompts/ - Noctis prompts
• docs/policies/ - Policy documents (deployment, development, review, testing)
• scripts/sync_agents.py - Synchronization script