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rpi-quick Skill

AI Agent SkillPowerShellOpen source

Sequence Research, Plan, Implement, Review, and Follow-up for an RPI task. Use when one workflow should coordinate the full delivery lifecycle. Published by microsoft in hve-core.

Decision snapshot

Is this a fit?

Best for

Research, Includes SKILL.md, Reusable instructions

Works with

Compatibility not yet detected.

Access

Permission behavior not yet detected.

Setup

Copy skill directory

Project health

2 months ago · MIT license

Considerations

No specific cautions were detected. Review the source and requested permissions before installing.

What is rpi-quick Skill?

Sequence Research, Plan, Implement, Review, and Follow-up for an RPI task. Use when one workflow should coordinate the full delivery lifecycle. Published by microsoft in hve-core. 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
Adoption signal
77/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Research
  • Research use cases

Declared skill metadata

  • Declared license: MIT
  • Source file: .github/skills/rpi/rpi-quick/SKILL.md

These fields retain source and confidence evidence from the indexed SKILL.md.

Compatibility and setup

Copy skill directory
  • Install or run with Copy skill directory

When to use rpi-quick Skill

  • Use it for research.

Built with

PowerShellCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/hve-core
  • Skill file: .github/skills/rpi/rpi-quick/SKILL.md

What it does

Sequence Research, Plan, Implement, Review, and Follow-up for an RPI task. Use when one workflow should coordinate the full delivery lifecycle.

Skill instructions

RPI Goal Coordinate one task through evidence, planning, execution, review, and explicit follow-up without duplicating the phase skills' detailed responsibilities. Flow 1. Assess research readiness from caller-supplied research, task details, decisions, and plan inputs. 1. Activate rpi-research only when evidence is missing, stale, contradictory, insufficient for planning, or when complexity, uncertainty, dependencies, risk, or a decision-critical question warrants investigation. Record Research disposition executed and consume the primary artifact's Planning Readiness. 2. When evidence is adequate, record disposition reused or satisfied-and-skipped with the evidence that supports it. 3. Apply the rpi-research continuation contract. Continue to Plan without another stage-start command only when either an executed Research primary artifact records Planning Readiness Ready, or reused or satisfied-and-skipped evidence is adequate, and all applicable gates pass, blockers clear, and require

Verified compatibility and discovery

Frequently asked questions

What is rpi-quick?

rpi-quick is a open-source AI agent skill with Copy skill directory. Sequence Research, Plan, Implement, Review, and Follow-up for an RPI task. Use when one workflow should coordinate the full delivery lifecycle.

Who is rpi-quick best for?

rpi-quick is best for reusing agent instructions, scripts, and references, research workflows.

How do I install rpi-quick?

Install or run rpi-quick using Copy skill directory. Check rpi-quick for the latest setup command.

Is rpi-quick actively maintained?

rpi-quick may need a closer maintenance check before production use.

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Stars
1,263
Forks
229
Last commit
2 months ago
Last verified
Aug 27, 2026
Metadata fetched
Aug 27, 2026
Repository age
10 months
License
MIT

Project health auto-fetched from the source repository.

Maintain this resource?

Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.

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