microsoft / microsoft/hve-core

feat: Create core skill-bench collection with orchestrator agent and SKILL.md

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agents feature needs-triage skills
Dominant language
Python
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Description

Part of the skill-bench integration epic: #1504

Depends on #1509 (critical blockers resolved).

Create the skill-bench collection at experimental maturity, implementing the 5-mode lifecycle (CREATE → EVAL → IMPROVE → COMPARE → ASSESS) with a parent orchestrator dispatching specialized subagents.

Scope:

  • Parent orchestrator .agent.md with mode-dispatch logic
  • Subagents for each lifecycle mode
  • SKILL.md describing the bench's own conventions
  • collection.yml manifest at experimental maturity

Acceptance criteria:

  • Collection passes validate:skills
  • Orchestrator correctly dispatches to each subagent mode
  • All frontmatter fields (name:, agents:, description:) present and valid
  • collection.yml lists the collection at experimental maturity

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Review the skill-bench integration epic (#1504) and confirm the dependency on #1509 before starting. Use the requested .agent.md files, SKILL.md, and collection.yml as the implementation map, then run validate:skills. Done means all five modes dispatch correctly, required frontmatter validates, and the collection is listed at experimental maturity.

Written by the indexing model from the issue text.

Assessment

Domain
ai-infra-agents, tooling
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Quiet
Clarity
Mostly clear
Newbie friendliness
35/100

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