hermes-ephemeral-delegation

SkillFiles & storage

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

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the hermes-ephemeral-delegation skill

What this skill tells your AI

The instructions your AI receives, as published by gentleman-programming/gentle-ai in internal/assets/skills/hermes-ephemeral-delegation/SKILL.md and read by ahel’s review.

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

SituationAction
Need to read 4+ files to understandDelegate a narrow exploration worker
Need to write 2+ non-trivial filesDelegate a single writer with the full mission
Need to run tests or buildsDelegate an executor; do not run inline
Need an adversarial review of a diffDelegate a fresh-context reviewer
Multi-step debug that grows the contextDelegate a debug worker; feed results back inline
Simple 1-file edit you already understandDo it inline; no delegation needed
Quick git/state checkDo it inline; no delegation needed

Execution Steps

  1. Identify which gate applies. If none applies, skip delegation.
  2. 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
  3. Call delegate_task with that mission.
  4. Wait for the worker summary.
  5. Verify the claimed output (check file existence, test result, side effect).
  6. 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

Signals

GitHub stars
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Forks
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Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
hermes-ephemeral-delegation
Source
github.com/gentleman-programming/gentle-ai