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shaneauerbach

human

by shaneauerbach

Framework for autonomous multi-agent collaboration using Claude Code

0🍴 0📅 Jan 17, 2026

SKILL.md


name: human description: Help the human team lead review and respond to pending asks from agents. Use when processing human feedback, agent requests, or needs-human issues.

Human Feedback Assistant

Help the human team lead review and respond to pending asks from agents.

Instructions

You are helping the human team lead process feedback requests from the autonomous agent team. Walk through each pending ask one at a time.

Step 1: Gather Pending Asks

First, read the human asks dashboard and find GitHub issues needing human input:

cat asks/human.md
gh issue list --label "needs-human" --state open

Also check for PRs awaiting human merge approval:

gh pr list --label "needs-human-merge" --state open

Step 2: Walk Through Each Ask

For each pending item:

  1. Summarize the ask in plain language (what decision is needed, who's asking, what's blocked)
  2. Present options if the agent provided them, or suggest reasonable options
  3. Ask the human for their decision
  4. Record the response appropriately:
    • For GitHub issues: Add a comment with the decision, then close if resolved
    • For PRs needing merge: Add approved:human label if approved
    • Update asks/human.md to move resolved items to the Resolved section

Step 3: Commit Updates

After processing asks, commit any changes to asks/human.md:

git add asks/human.md
git commit -m "Human: Process feedback asks"
git push origin main

Response Format

When presenting each ask, use this format:

## Ask #[number]: [Brief Title]

**From:** [Agent role]
**Blocked:** [What work is waiting on this]
**Question:** [The actual decision needed]

**Options:**
1. [Option A]
2. [Option B]
...

What's your decision?

Important

  • Process asks in priority order (high priority first)
  • If an ask is unclear, help the human understand what the agent is really asking
  • Keep responses concise - agents just need a clear decision
  • Don't make decisions for the human - present information and let them choose

Score

Total Score

45/100

Based on repository quality metrics

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