init-mode Skill
Team initialization flow (Phase 1 proposal + Phase 2 creation) Published by microsoft in aitour26-BRK445-building-enterprise-ready-ai-agents-with-microsoft-foundry.
What is init-mode Skill?
Team initialization flow (Phase 1 proposal + Phase 2 creation) Published by microsoft in aitour26-BRK445-building-enterprise-ready-ai-agents-with-microsoft-foundry. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Developers using aitour26-BRK445-building-enterprise-ready-ai-agents-with-microsoft-foundry
Technical details
- Install or run with Copy skill directory
When to use init-mode Skill
- Use it for developers using aitour26-brk445-building-enterprise-ready-ai-agents-with-microsoft-foundry.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/aitour26-BRK445-building-enterprise-ready-ai-agents-with-microsoft-foundry
- Skill file: .squad/templates/skills/init-mode/SKILL.md
What it does
Team initialization flow (Phase 1 proposal + Phase 2 creation)
Skill instructions
Context Init Mode activates when .squad/team.md does not exist, or exists but has zero roster entries under Members. The coordinator proposes a team (Phase 1), waits for user confirmation, then creates the team structure (Phase 2). Patterns Phase 1: Propose the Team No team exists yet. Propose one — but DO NOT create any files until the user confirms. 1. Identify the user. Run git config user.name to learn who you're working with. Use their name in conversation (e.g., "Hey Brady, what are you building?"). Store their name (NOT email) in team.md under Project Context. Never read or store git config user.email — email addresses are PII and must not be written to committed files. 2. Ask: "What are you building? (language, stack, what it does)" 3. Cast the team. Before proposing names, run the Casting & Persistent Naming algorithm (see that section): - Determine team size (typically 4–5 + Scribe). - Determine assignment shape from the user's project description. - Derive resonance signals
Explore related resources
Frequently asked questions
What is init-mode?
init-mode is a open-source AI agent skill with Copy skill directory. Team initialization flow (Phase 1 proposal + Phase 2 creation)
Who is init-mode best for?
init-mode is best for reusing agent instructions, scripts, and references.
How do I install init-mode?
Install or run init-mode using Copy skill directory. Check init-mode for the latest setup command.
Is init-mode actively maintained?
init-mode may need a closer maintenance check before production use.
Auto-fetched from GitHub.
