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autolab-hermes-delegation Skill

AI Agent SkillPythonOpen source

Use Hermes delegatetask cleanly in this repo for planner, reviewer, researcher, reporter, experiment-worker, and memory-keeper roles. Published by huggingface in context-course.

What is autolab-hermes-delegation Skill?

Use Hermes delegatetask cleanly in this repo for planner, reviewer, researcher, reporter, experiment-worker, and memory-keeper roles. Published by huggingface in context-course. 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
45/100

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
  • Documentation
  • Documentation use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use autolab-hermes-delegation Skill

  • Use it for documentation.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: huggingface
  • Repository: huggingface/context-course
  • Skill file: projects/pre-training/.agents/skills/autolab-hermes-delegation/SKILL.md

What it does

Use Hermes delegatetask cleanly in this repo for planner, reviewer, researcher, reporter, experiment-worker, and memory-keeper roles.

Skill instructions

Use this when Hermes is the parent control plane for this repo. Hermes children get a fresh context, cannot ask the user for clarification, cannot delegate again, and only return their final summary to the parent. Pass the full role contract in every delegatetask(...) call. Parent Rules - Keep AGENTS.md as the only checked-in rulebook. Do not add .hermes.md. - Launch the parent with toolsets: terminal,file,web,skills,delegation,clarify - Leave Hermes memory out of the default toolsets so repo markdown stays the durable record. - Keep Hermes child concurrency at min(gpuslots, 3) per parent session. - If you need more than 3 parallel workers, use multiple top-level Hermes sessions or stay on OpenCode. Role Defaults - planner - toolsets: ["file"] - focus: fresh, non-duplicate single-change ideas only - reviewer - toolsets: ["file"] - focus: hard-rule checks, stale-master risk, duplicates, multi-change patches - researcher - toolsets: ["web", "file", "skills", "terminal"] - focus: paper-de

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Frequently asked questions

What is autolab-hermes-delegation?

autolab-hermes-delegation is a open-source AI agent skill with Copy skill directory. Use Hermes delegatetask cleanly in this repo for planner, reviewer, researcher, reporter, experiment-worker, and memory-keeper roles.

Who is autolab-hermes-delegation best for?

autolab-hermes-delegation is best for reusing agent instructions, scripts, and references, documentation workflows.

How do I install autolab-hermes-delegation?

Install or run autolab-hermes-delegation using Copy skill directory. Check autolab-hermes-delegation for the latest setup command.

Is autolab-hermes-delegation actively maintained?

autolab-hermes-delegation may need a closer maintenance check before production use.

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Forks
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Last commit
2 months ago
Repository age
3 months
License
Unknown

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