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complexity-analysis Skill

AI Agent SkillCloud & DevOpsOpen source

Complexity analysis for user stories with known work, risks, and scenarios. Use when you need to estimate effort, points, size, or analyze complexity of a user story. Do not use for sprint estimates (use devsquad.sprint) or for artifact quality validation (use quality-gate). Published by microsoft in devsquad-copilot.

What is complexity-analysis Skill?

Complexity analysis for user stories with known work, risks, and scenarios. Use when you need to estimate effort, points, size, or analyze complexity of a user story. Do not use for sprint estimates (use devsquad.sprint) or for artifact quality validation (use quality-gate). Published by microsoft in devsquad-copilot. 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
40/100

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
  • Testing
  • Data analysis
  • Testing use cases
  • Data analysis use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use complexity-analysis Skill

  • Use it for testing.
  • Use it for data analysis.

Built with

Copy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/devsquad-copilot
  • Skill file: .github/plugins/devsquad/skills/complexity-analysis/SKILL.md

What it does

Complexity analysis for user stories with known work, risks, and scenarios. Use when you need to estimate effort, points, size, or analyze complexity of a user story. Do not use for sprint estimates (use devsquad.sprint) or for artifact quality validation (use quality-gate).

Skill instructions

Principle Focus on the unknowns, not the knowns. Unknown work dominates software projects. Evidence Rule Every classification (known/unknown) must cite the evidence that supports it. Reference code, ADR, spec, or absence thereof. If uncertain, say so and indicate what information would resolve the uncertainty. Analysis Structure 1. Known Work Tasks whose effort can be estimated with confidence: - We have done something similar in this project - Established pattern in ADR or existing code - Well-defined scope in the spec - Existing test coverage in the affected area - Localized change (few impacted dependencies) For each item, indicate why it is known (e.g., "CRUD endpoint, same pattern as src/api/users"). 2. Unknown Work (Risks) Signals of uncertainty: - First time (new technology, integration, or pattern) - External dependency (third-party API, another team's service) - Vague requirement ("must be fast", "easy to use") - Pending decision (no ADR exists for technical choice) - Legacy c

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Frequently asked questions

What is complexity-analysis?

complexity-analysis is a open-source AI agent skill with Copy skill directory. Complexity analysis for user stories with known work, risks, and scenarios. Use when you need to estimate effort, points, size, or analyze complexity of a user story.

Who is complexity-analysis best for?

complexity-analysis is best for reusing agent instructions, scripts, and references, testing workflows, data analysis workflows.

How do I install complexity-analysis?

Install or run complexity-analysis using Copy skill directory. Check complexity-analysis for the latest setup command.

Is complexity-analysis actively maintained?

complexity-analysis may need a closer maintenance check before production use.

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39
Forks
7
Last commit
28 days ago
Repository age
4 months
License
MIT

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