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iterative-retrieval Skill

AI Agent SkillShellOpen source

Max-3-cycle protocol for agent sub-tasks with WHY context and coordinator validation. Use when spawning sub-agents to complete scoped work. Published by microsoft in frontier-agentic-devops-rvas.

What is iterative-retrieval Skill?

Max-3-cycle protocol for agent sub-tasks with WHY context and coordinator validation. Use when spawning sub-agents to complete scoped work. Published by microsoft in frontier-agentic-devops-rvas. 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.

Trust signal
95/100
Maintenance signal
90/100

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 frontier-agentic-devops-rvas

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use iterative-retrieval Skill

  • Use it for developers using frontier-agentic-devops-rvas.

Built with

ShellCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/frontier-agentic-devops-rvas
  • Skill file: .squad/templates/skills/iterative-retrieval/SKILL.md

What it does

Max-3-cycle protocol for agent sub-tasks with WHY context and coordinator validation. Use when spawning sub-agents to complete scoped work.

Skill instructions

Iterative Retrieval Skill Squad agents frequently spawn sub-agents to complete scoped work. Without structure, these handoffs become vague, cycles multiply, and outputs land without being checked. The Iterative Retrieval Pattern caps cycles at 3, mandates WHY context in every spawn, and requires the coordinator to validate agent output before closing an issue. --- Spawn Prompt Template Every agent spawn must include the following four sections. Copy and fill in the template: Task {What you need done — concrete and bounded} WHY this matters {The motivation and context. What system or user goal does this serve? What breaks if skipped?} Success criteria {How you will know the output is correct. Be explicit — list acceptance criteria, not vibes.} Example: - [ ] File X exists and contains Y - [ ] No regressions in existing tests - [ ] PR is open targeting main with description matching the issue Escalation path {What the agent should do if uncertain or stuck. "Stop and ask me" is valid.} Ex

Explore related resources

Frequently asked questions

What is iterative-retrieval?

iterative-retrieval is a open-source AI agent skill with Copy skill directory. Max-3-cycle protocol for agent sub-tasks with WHY context and coordinator validation. Use when spawning sub-agents to complete scoped work.

Who is iterative-retrieval best for?

iterative-retrieval is best for reusing agent instructions, scripts, and references.

How do I install iterative-retrieval?

Install or run iterative-retrieval using Copy skill directory. Check iterative-retrieval for the latest setup command.

Is iterative-retrieval actively maintained?

iterative-retrieval may need a closer maintenance check before production use.

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Last commit
12 days ago
Repository age
1 month
License
MIT

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