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context-intelligence-eval-design Skill

AI Agent SkillPythonOpen source

Use when designing evaluation scenarios for a context-intelligence tool signal — derives success criteria from domain-concepts.md and produces evaluation-scenarios.md entries and DTU profile templates. Published by microsoft in amplifier-bundle-context-intelligence.

What is context-intelligence-eval-design Skill?

Use when designing evaluation scenarios for a context-intelligence tool signal — derives success criteria from domain-concepts.md and produces evaluation-scenarios.md entries and DTU profile templates. Published by microsoft in amplifier-bundle-context-intelligence. 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
11/100

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
  • Data analysis
  • Design and media
  • Data analysis use cases
  • Design and media use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use context-intelligence-eval-design Skill

  • Use it for data analysis.
  • Use it for design and media.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/amplifier-bundle-context-intelligence
  • Skill file: skills/context-intelligence-eval-design/SKILL.md

What it does

Use when designing evaluation scenarios for a context-intelligence tool signal — derives success criteria from domain-concepts.md and produces evaluation-scenarios.md entries and DTU profile templates.

Skill instructions

Context Intelligence Evaluation Design Phase 3 specialist skill for context-intelligence mode. Called by context-intelligence-tool-designer agent via self-delegation with contextdepth="none", scoped to one concept at a time. --- Scope In scope: - Derive success criteria from domain-concepts.md - Design one evaluation scenario per concept - Populate DTU profile templates including mandatory Gitea URL rewrite block Out of scope: - Investigating signals - Classifying detection strategies - Running evaluations Note: The evaluation runner is amplifier-bundle-evaluation invoked inside a DTU built from this scenario. --- Criteria Derivation Rule Success criteria MUST come from the user-confirmed concept definition in domain-concepts.md — specifically the Agreed definition, Boundary conditions, Data availability, and Explicitly excludes fields. NEVER derive from implementation details. What a detector returns is not the criterion; what correct detection looks like in plain terms from the user'

Explore related resources

Frequently asked questions

What is context-intelligence-eval-design?

context-intelligence-eval-design is a open-source AI agent skill with Copy skill directory. Use when designing evaluation scenarios for a context-intelligence tool signal — derives success criteria from domain-concepts.md and produces evaluation-scenarios.md entries and DTU.

Who is context-intelligence-eval-design best for?

context-intelligence-eval-design is best for reusing agent instructions, scripts, and references, data analysis workflows, design and media workflows.

How do I install context-intelligence-eval-design?

Install or run context-intelligence-eval-design using Copy skill directory. Check context-intelligence-eval-design for the latest setup command.

Is context-intelligence-eval-design actively maintained?

context-intelligence-eval-design may need a closer maintenance check before production use.

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Stars
2
Forks
3
Last commit
9 days ago
Repository age
4 months
License
MIT

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