Individual skill

omh-llm-app-dev

[omh] LLM-powered feature to build: LLM app development: prepare a build handoff for an LLM-powered feature with a pinned provider boundary, schema-first outputs, versioned prompt files, grounded retrieval, and an eval suite as a shipped deliverable. Use when the user says: llm-app-dev, llm app development, llm application development, build an llm app, build an llm feature, llm feature development, build a rag pipeline, rag pipeline.

skills/omh-llm-app-dev/SKILL.md

Read pinned source

Source commit 98284f305f6a9dce6e36a1580c9f333105f1a950

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
Yes
Repository scan complete
No
Skill scan complete
No
Observed behavior
Network or broad shell
Last checked
Nov 9, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings)
5,325
Repository last updated
Nov 10, 2026
License
MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# Llm App Dev

This is a Hermes-native `llm-app-dev` workflow skill.

## Why This Exists

`llm-app-dev` exists because the failure modes of an LLM feature are not the failure modes of the code around it. A floating model alias, a prompt buried in a string literal, an output scraped out of prose with a regex, and a retrieval layer nobody measured all pass code review and all fail in production, and without a golden set nobody can tell whether the next prompt edit helped or hurt.

## Do Not Use When

- The subject is comparing executors or agent harnesses - Codex against Claude Code against Hermes coding - rather than evaluating the product's own model calls; use `omh-agent-evaluation`.
- An agent run is already stuck, looping, or drifting and needs diagnosis; use `omh-agent-debug`.
- The subject is the harness's own context window, prompt caching, or token budget rather than the application being built; use `omh-context-budget-review`.
- The request is a prompt-injection, secret-handling, or dependency risk gate on work that already exists; use `omh-security-safety-review`.
Back to top