omh-best-practice-research

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omh

AI & Automation 215 stars 15 forks Updated today MIT

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Quality Score: 86/100

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Skill Content

# Best Practice Research This is a Hermes-native `best-practice-research` workflow skill. ## Why This Exists `best-practice-research` exists to keep `research` 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: best-practice-research: check official docs and upstream examples before we choose the plugin packaging pattern. - Expected behavior: Gather primary-source guidance, compare options, and separate evidence from recommendation. - Why: The request needs citation-backed best-practice research before implementation. Bad example: - Prompt: best-practice-research: 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 `best-practice-research`. - Why: The request lacks the required inputs or would overclaim work that Hermes did not observe. ## Completion Checklist - The research question, source boundaries, recency assumptions, and confidence level are named. - Observed sources, inference, synthesis, and unresolved retrieval gaps are separated. - Follow-up planning or handoff us...

Details

Author
rlaope
Repository
rlaope/oh-my-hermes
Created
1 months ago
Last Updated
today
Language
Python
License
MIT

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