omh-deploy-and-monitor
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DevOps & Infrastructure 1,663 stars
142 forks Updated today MIT
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Skill Content
# Deploy And Monitor
This is a Hermes-native `deploy-and-monitor` workflow skill.
## Why This Exists
`deploy-and-monitor` exists to keep `monitoring` work explicit, evidence-backed, and inside the Hermes/executor boundary instead of relying on ad hoc chat narration.
## Do Not Use When
- The request is casual chat, a status-only acknowledgement, or another workflow has stronger routing evidence.
- The user needs implementation, review, CI, merge, or external publishing evidence that has not been delegated or observed.
## Examples
Good example:
- Prompt: deploy-and-monitor: prepare the release monitor, rollback signals, health checks, and post-deploy status card.
- Expected behavior: Create release monitoring guidance with deployment, metric, rollback, and observation boundaries.
- Why: The request is about deploy readiness and monitoring rather than code review alone.
Bad example:
- Prompt: deploy-and-monitor: treat casual chat or unaccepted work as if this workflow already produced verified results.
- Expected behavior: Ask a clarification question or route to a narrower workflow instead of forcing `deploy-and-monitor`.
- Why: The request lacks the required inputs or would overclaim work that Hermes did not observe.
## Completion Checklist
- Confirm the workflow target, evidence boundary, and stop condition are named.
- Report which outputs are prepared, observed, blocked, or missing.
- Name the smallest next verification or handoff instead of claiming completion ...
Details
- Author
- rlaope
- Repository
- rlaope/oh-my-hermes
- Created
- 3 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
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