dag-generation Skill
Generate task DAGs for modernization projects — select fragments from task catalog, produce initial DAG (Stage 1), and execute/validate DAG from plan artifacts (Stage 2). Published by microsoft in github-copilot-modernization.
Decision snapshot
Is this a fit?
Developers using github-copilot-modernization, Includes SKILL.md, Reusable instructions
Compatibility not yet detected.
Permission behavior not yet detected.
Copy skill directory
3 months ago · MIT license
No specific cautions were detected. Review the source and requested permissions before installing.
What is dag-generation Skill?
Generate task DAGs for modernization projects — select fragments from task catalog, produce initial DAG (Stage 1), and execute/validate DAG from plan artifacts (Stage 2). Published by microsoft in github-copilot-modernization. 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. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Developers using github-copilot-modernization
Declared skill metadata
- Source file: plugins/github-copilot-modernization/skills/dag-generation/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use dag-generation Skill
- Use it for developers using github-copilot-modernization.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/github-copilot-modernization
- Skill file: plugins/github-copilot-modernization/skills/dag-generation/SKILL.md
What it does
Generate task DAGs for modernization projects — select fragments from task catalog, produce initial DAG (Stage 1), and execute/validate DAG from plan artifacts (Stage 2).
Skill instructions
DAG Generation Two-stage DAG generation for modernization projects: 1. Stage 1 (§1.4) — select fragments from task-catalog, determine deepplanning, produce DAG JSON 2. Stage 2 (§3.2.2) — when deep planning, read plan artifacts, produce execute+validate DAG Reference Files - references/task-catalog.md — fragment library with when/skip-when/after/scope - references/dag-rules.md — DAG construction rules (dependencies, compression, sizing) Stage 1: Initial DAG Select fragments from the task catalog and produce a DAG. Inputs 1. Project profile — read from {{BASEPATH}}/artifacts/project-profile.yaml (project.loc, project.languages, project.modules, assessment.changetype, assessment.groupingneeded) 2. userask — natural-language migration target (passed by coordinator) If userask names an explicit target stack or version, preserve it verbatim in every selected task. Do not replace, downgrade, or reinterpret the requested version based on model familiarity or LTS defaults. Decision Procedure St
Verified compatibility and discovery
Frequently asked questions
What is dag-generation?
dag-generation is a open-source AI agent skill with Copy skill directory. Generate task DAGs for modernization projects — select fragments from task catalog, produce initial DAG (Stage 1), and execute/validate DAG from plan artifacts (Stage 2).
Who is dag-generation best for?
dag-generation is best for reusing agent instructions, scripts, and references.
How do I install dag-generation?
Install or run dag-generation using Copy skill directory. Check dag-generation for the latest setup command.
Is dag-generation actively maintained?
dag-generation may need a closer maintenance check before production use.
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.
