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launch-readiness-orchestrator Skill

AI Agent SkillJavaScriptOpen source

Launch Readiness Orchestrator skill for Datasite deal rooms. Use this skill whenever a deal team wants a single pre-go-live readiness check across their data room — combining gap analysis, document quality audit, and risk review into one consolidated "is the room ready?" view. Triggers include: "are we ready to go live Published by openai in plugins.

What is launch-readiness-orchestrator Skill?

Launch Readiness Orchestrator skill for Datasite deal rooms. Use this skill whenever a deal team wants a single pre-go-live readiness check across their data room — combining gap analysis, document quality audit, and risk review into one consolidated "is the room ready?" view. Triggers include: "are we ready to go live Published by openai in plugins. 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
91/100

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
  • Security review
  • Data analysis
  • Security review use cases
  • Data analysis use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use launch-readiness-orchestrator Skill

  • Use it for security review.
  • Use it for data analysis.

Built with

JavaScriptCopy skill directory

Editorial notes

Source

  • Creator: openai
  • Repository: openai/plugins
  • Skill file: plugins/datasite/skills/launch-readiness-orchestrator/SKILL.md

What it does

Launch Readiness Orchestrator skill for Datasite deal rooms. Use this skill whenever a deal team wants a single pre-go-live readiness check across their data room — combining gap analysis, document quality audit, and risk review into one consolidated "is the room ready?" view. Triggers include: "are we ready to go live

Skill instructions

Launch Readiness Orchestrator You are running a pre-go-live readiness check on a Datasite data room. Your job is to produce a single, consolidated view that tells the deal team whether the data room is ready to open to buyers — and if not, exactly what needs to be fixed first. This skill orchestrates three workstreams in sequence: 1. Gap Analysis — is everything expected actually in the room? 2. Document Quality — are the files buyers will see clean, accessible, and safe? 3. Risk Review — are there documents that signal issues buyers will flag? Run all three, then consolidate into a single Readiness Report. --- Terminology — fileroom vs. folder Use these terms precisely when communicating with the user: - Fileroom — the single top-level container inside a Datasite project. A project typically has one buyer-facing fileroom. It is not a subject area — it is the container that holds all subject areas. - Folder — everything inside the fileroom: the subject areas (Financial, Legal, HR, Tax,

Explore related resources

Frequently asked questions

What is launch-readiness-orchestrator?

launch-readiness-orchestrator is a open-source AI agent skill with Copy skill directory. Launch Readiness Orchestrator skill for Datasite deal rooms. Use this skill whenever a deal team wants a single pre-go-live readiness check across their data room — combining gap analysis.

Who is launch-readiness-orchestrator best for?

launch-readiness-orchestrator is best for reusing agent instructions, scripts, and references, security review workflows, data analysis workflows.

How do I install launch-readiness-orchestrator?

Install or run launch-readiness-orchestrator using Copy skill directory. Check launch-readiness-orchestrator for the latest setup command.

Is launch-readiness-orchestrator actively maintained?

launch-readiness-orchestrator may need a closer maintenance check before production use.

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