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dag-generation Skill

AI Agent SkillPythonOpen source

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.

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.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
36/100

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 github-copilot-modernization

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use dag-generation Skill

  • Use it for developers using github-copilot-modernization.

Built with

PythonCopy skill directory

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) Decision Procedure Step 1: Determine deepplanning Decide whether the project needs deep planning (two-stage DAG) or can produce a complete DAG upfront. deepplanning: true when: - Multiple modules with cross-module dependencies t

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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.

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Stars
27
Forks
7
Last commit
1 month ago
Repository age
6 months
License
MIT

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