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Omh Feedback Triage

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rlaope
omh-feedback-triage

[omh] Hermes Feedback Triage workflow: cluster customer signals and choose the next workflow. Use when the user says: feedback-triage, customer-feedback-triage, feedback triage, customer feedback, feedback cluster, bug or feature, feature request triage, payment failure feedback.

Overview

Publisherrlaope
Repositoryoh-my-hermes
Skill nameomh-feedback-triage
Stars
2.7K
Forks
194
Bundled files
Instructions only
LicenseMIT
Links
  • 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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by rlaope on GitHub. Read the source before you install it.

Installation

Install the Omh Feedback Triage AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

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/rlaope/oh-my-hermes.git /tmp/oh-my-hermes
mkdir -p .claude/skills
cp -r /tmp/oh-my-hermes/agent-skills/omh-feedback-triage .claude/skills/omh-feedback-triage
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Omh Feedback Triage 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 Omh Feedback Triage 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 Omh Feedback Triage 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.

Feedback Triage

This is an OMH feedback-triage workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).

Why This Exists

feedback-triage exists to keep customer and community signals from jumping straight into roadmap or coding; it clusters evidence, ranks signals, and chooses the next workflow.

Do Not Use When

  • The request already contains an accepted product decision and asks for implementation.
  • There are no feedback items, source boundary, or product area to classify.
  • The user wants current market research rather than triage of supplied signals.
  • The triage result asks for a retention or activation intervention rather than another cluster; use lifecycle-growth.
  • The supplied material is opportunity records and the request is portfolio health or forecast review; use sales-pipeline-review.

Examples

Good example:

  • Prompt: Cluster these customer payment failure reports and feature requests before we plan fixes.
  • Expected behavior: Cluster bug signals and feature asks, rank severity or opportunity, and recommend research, planning, or coding as a next workflow.
  • Why: The input is mixed feedback that needs classification before delivery decisions.

Bad example:

  • Prompt: feedback-triage implement the accepted billing fix now.
  • Expected behavior: Route to planning or coding handoff instead of re-triaging.
  • Why: The decision is already accepted, so triage would add delay without improving evidence.

Completion Checklist

  • The source boundary, signal clusters, severity, and follow-up lane are named.
  • Bug, feature, research, strategy, and coding handoff outcomes stay separate.
  • The next workflow is recommended before any implementation claim.

Recovery Notes

  • If feedback lacks source or severity, ask for the missing signal before coding handoff.
  • If the item is actually a plan or research request, route to that workflow instead of triage.

Use When

Use when Hermes should classify feedback, bug reports, and feature asks before deciding whether research, planning, or coding handoff is needed.

Strong routing signals: `feedback-triage`, `customer-feedback-triage`, `feedback triage`, `customer feedback`, `feedback cluster`, `bug or feature`, `feature request triage`, `payment failure feedback`, `feedback trends`, `payment failure`, `payment failure issue`, `payment failure reports`, `고객 피드백`, `피드백`, `피드백 분류`, `피드백을 모아서`, `결제 실패`, `결제 실패 이슈`, `결제 실패 피드백`, `결제 오류`, `고객 불만`, `버그 제보`, `버그 기능 요청`, `기능 요청`

Catalog Metadata

Category: triage Phase: feedback Quality tier: triage-gated Reasoning demand: standard

Quality bar:

  • Name the source boundary before clustering feedback.
  • Classify signals into bug, feature, research, or strategy follow-up without overclaiming evidence.
  • Recommend the next workflow instead of jumping straight to coding.

Required inputs:

  • feedback items or summary
  • source boundary
  • product area

Expected outputs:

  • clusters
  • severity or opportunity ranking
  • next workflow recommendation
  • product_evidence_loop/v1

Artifact expectations:

  • feedback triage record when a wrapper captures it

Safety rules:

  • Do not turn feedback into a roadmap, implementation plan, or coding handoff by default.
  • Separate bug signal, feature ask, severity, opportunity, and missing evidence.
  • Route code changes only after explicit user intent or accepted planning evidence.
  • product_evidence_loop/v1 is prepared-only opaque references, not observed evidence or execution.

Runtime Evidence

Use the current host's own tools and subagent/task mechanism when available; otherwise run the same lanes sequentially or name the unavailable capability. A prepared plan, handoff, checklist, or skill installation is not execution, review, CI, merge-readiness, or merge evidence. Report actual tool results or not_observed / not_available; never invent dispatch or host accounting. Treat supplied context as advisory, not proof of hidden memory reads or writes. State scope, constraints, verification, and the stop condition before work. Supporting paths are relative to this skill directory; sibling skill paths are relative to its parent. Resolve them from the host-provided skill base directory ({baseDir} on hosts that provide it), never a hardcoded install location. A named workflow not installed here is unavailable, not permission to emulate its host-specific capabilities. Verify through the real surface before done.

Frequently asked questions

What does the Omh Feedback Triage AI skill do?

[omh] Hermes Feedback Triage workflow: cluster customer signals and choose the next workflow. Use when the user says: feedback-triage, customer-feedback-triage, feedback triage, customer feedback, feedback cluster, bug or feature, feature request triage, payment failure feedback.

Why use Omh Feedback Triage on TypingMind?

Because you install it once and use it with any model. Omh Feedback Triage 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 Omh Feedback Triage in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rlaope/oh-my-hermes/tree/main/agent-skills/omh-feedback-triage. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Omh Feedback Triage?

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 Omh Feedback Triage?

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

Is the Omh Feedback Triage AI skill free?

Yes. It is published on GitHub by rlaope under the MIT 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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