Hermes Ephemeral Delegation

OrganizationPopular

Gentleman-Programming

hermes-ephemeral-delegation

Trigger: broad exploration, multi-file reads, tests/builds, fresh review, or multi-step debug. Orchestrate complex work via delegate_task to protect context.

Overview

Publisher	Gentleman-Programming
Repository	`gentle-ai`
Skill name	`hermes-ephemeral-delegation`
Stars	7K
Forks	760
Bundled files	1
License	Apache-2.0
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by Gentleman-Programming on GitHub. Read the source before you install it.

Installation

Install the Hermes Ephemeral Delegation AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/Gentleman-Programming/gentle-ai/tree/main/internal/assets/skills/hermes-ephemeral-delegation

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/Gentleman-Programming/gentle-ai.git /tmp/gentle-ai
mkdir -p .claude/skills
cp -r /tmp/gentle-ai/internal/assets/skills/hermes-ephemeral-delegation .claude/skills/hermes-ephemeral-delegation

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hermes Ephemeral Delegation in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Hermes Ephemeral Delegation on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Hermes Ephemeral Delegation is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Activation Contract

Load this skill when you are acting as the parent orchestrator and the work ahead falls into any of these categories:

Broad exploration (4+ files to understand, codebase mapping, approach comparison)
Multi-file implementation (touching 2+ non-trivial files)
Test or build execution
Fresh adversarial review (diffs, PR readiness, incident audit)
Multi-step debugging that would flood the parent context

Do NOT load this skill if you are already inside a delegated child task — you are the executor, not the orchestrator.

Hard Rules

Use delegate_task for all complex work listed above. Do NOT execute it inline.
Workers are EPHEMERAL: each delegate_task call creates a fresh context. Do NOT request persistent agent files or profiles.
Pass a self-contained mission. Workers have no memory of the parent conversation.
Treat worker output as self-report: verify file writes, test pass/fail, URLs, and IDs before reporting success to the user.
Batch parallel calls only for INDEPENDENT workstreams. Sequential dependencies must run sequentially.

Decision Gates

Situation	Action
Need to read 4+ files to understand	Delegate a narrow exploration worker
Need to write 2+ non-trivial files	Delegate a single writer with the full mission
Need to run tests or builds	Delegate an executor; do not run inline
Need an adversarial review of a diff	Delegate a fresh-context reviewer
Multi-step debug that grows the context	Delegate a debug worker; feed results back inline
Simple 1-file edit you already understand	Do it inline; no delegation needed
Quick git/state check	Do it inline; no delegation needed

Execution Steps

Identify which gate applies. If none applies, skip delegation.
Draft a self-contained mission for the worker — include:
- Exact goal (one sentence)
- File paths or targets to act on
- Relevant prior context the worker needs (decisions, conventions, prior findings)
- Constraints (style, test runner, budget)
- Expected evidence to return (e.g., file written, test output, URL found)
- Allowed toolsets/MCP/skills the worker should use
- Any SKILL.md paths to load before work
Call delegate_task with that mission.
Wait for the worker summary.
Verify the claimed output (check file existence, test result, side effect).
Synthesize the verified result into your orchestrator reply.

Output Contract

After synthesizing worker results, return:

What was delegated and to how many workers
What each worker returned (verified, not just claimed)
Any discrepancy between worker self-report and verified evidence
Final answer or next step for the user

References

references/tuning-knobs.md — Full table of delegate_task configuration parameters and the explicit toolset/MCP/skill checklist for worker missions.
../../hermes/sdd-orchestrator.md — SDD orchestrator protocol that uses this delegation standard for SDD phase work.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

references/tuning-knobs.md1 KB

Frequently asked questions

What does the Hermes Ephemeral Delegation AI skill do?

Trigger: broad exploration, multi-file reads, tests/builds, fresh review, or multi-step debug. Orchestrate complex work via delegate_task to protect context.

Why use Hermes Ephemeral Delegation on TypingMind?

Because you install it once and use it with any model. Hermes Ephemeral Delegation is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Hermes Ephemeral Delegation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Gentleman-Programming/gentle-ai/tree/main/internal/assets/skills/hermes-ephemeral-delegation. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Hermes Ephemeral Delegation?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Hermes Ephemeral Delegation?

As many as you like. As long as a model supports skills, you can use Hermes Ephemeral Delegation with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Hermes Ephemeral Delegation AI skill free?

Yes. It is published on GitHub by Gentleman-Programming under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Activation Contract

Hard Rules

Decision Gates

Execution Steps

Output Contract

References

Bundled files

Frequently asked questions

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