rlaope

[omh] Hermes Codebase Onboarding workflow: create a repo map, reading path, glossary, risk map, and first-task runway for unfamiliar codebases. Use when the user says: codebase-onboarding, codebase onboarding, repo onboarding, repository onboarding, codebase…

[omh] Hermes Codegraph Refresh workflow: refresh local code intelligence, summarize repo structure, and prepare task-scoped codegraph handoff context without overclaiming execution. Use when the user says: codegraph-refresh, codegraph refresh, refresh…

[omh] Hermes Plan workflow: structured planning before execution. Use when the user says: plan, implementation plan, task breakdown, safe feature, safely add a feature, add a feature, feature request, new feature.

[omh] Turn product evidence into a decision-ready PRD, prioritization frame, and roadmap brief. Use when the user says: product requirements document, PRD, roadmap prioritization, 제품 요구사항 문서, 제품 기획서, 로드맵 우선순위.

[omh] Router guidance for using oh-my-hermes workflow skills inside Hermes Agent.

[omh] Source candidate inventory - prepare typed source candidates and acquisition status before downstream work; use ulw-research to fetch and cite them, or research-brief to turn them into a decision-ready brief. Use when the user says: source-finder,…

[omh] Hermes Loop workflow: agentic interviewer -> planner -> researcher -> builder -> reviewer cycles until a real gate. Use when the user says: loop, goal loop, long horizon goal, never stop, research plan ultragoal feedback, token exhaustion resume,…

[omh] Hermes Ralplan workflow: consensus planning with review gates. Use when the user says: ralplan, consensus plan, reviewed plan, issue to PR, acceptance criteria, verification command, reviewable PR, risky planning.

Evidence-driven causal tracing — competing hypotheses, falsification, rebuttal round, recommended next probes

Feature validation gate — research, define purpose, stress-test from real user perspective before building

Maximum parallelism burst — all tasks execute simultaneously with no coordination overhead

Persistent completion mode — tasks must finish fully with verify/fix loops until done

Queue and auto-process multiple GitHub issues — each gets its own branch, team, PR, and merge

Execute tasks in parallel with dynamically assigned agents per task

Ask targeted clarifying questions to uncover missed requirements before execution

1000-iteration thought simulation — plan, build, validate, critique, amplify

Aura-field auto-routing — read an incoming request's problem shape and engage the right nen abilities, stacked in dependency order when the work spans more than one discipline. Use when the user says "nen", "use nen", "nen mode", "run this through nen",…

Skill forging — distilling a team's recurring, hard-won practice into a new installable SKILL.md that meets the nen contract. Use when the user says "write a skill", "create a skill for", "turn this workflow into a skill", "codify our process", or "SKILL.md";…

Orchestration engineering for multi-agent and deep-research work — decomposition, routing, prompt design, and verified delegation. Use when the user says "plan this", "break this down", "delegate", "orchestrate", "subagent", "task distribution", "parallel…

Pre-commitment engineering — declare falsifiable vows before the work starts and audit every one before claiming done, discipline pledges distilled from the engaged skills' Done means plus scope pledges bounding the blast radius. Use when the user says "don't…

Failure-mode-driven reliability engineering — enumerate how it breaks, give every mode a verdict, prove every handler with a reproducing test. Use when the user says "flaky", "harden this before launch", "what if this fails", "error handling", "timeout",…

Reverse engineering and mechanism-comparison research — when the docs run out, read the artifact itself and prove how the thing actually works. Use when the user asks "how does <tool> actually do it", says "reverse engineer this", "undocumented behavior",…

Behavior-preserving refactoring under characterization tests, plus severity-rated code review. Use when the user says "refactor", "clean up", "tech debt", "code review", "extract", "rename", "restructure", "this file is a mess", or "impossible to modify";…

Launch, positioning, and promotion — making finished work land with the audience that should care. Use when the user says "launch", "announce", "release notes", "changelog", "blog post", "tweet thread", "X thread", "Show HN", "Hacker News post", "how do I…

Audit and update Argus external distribution surfaces (Spring Boot starter, Helm chart, Docker, install scripts, Homebrew Formula, SDKMAN, GitHub Actions, action.yml) against gradle.properties and known-good upstream versions. Detects version drift, floating…

Audit and update Argus user-facing docs (README, docs/**/*.md, site/*.html) against the code truth. Detects version drift, command-count drift, i18n parity violations, and stale CLI examples. Use before a release, or any time the user asks to "sync docs",…

Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code in this repo to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.

Continuous JVM monitoring + optimization + troubleshooting harness on top of the Argus CLI. Use when the user wants to watch a running JVM for trouble (GC regression, heap leak, thread growth, pause-time spikes) over a window of time and get a single…

Run the recurring repo delivery loop: choose or clarify the next goal, run the real ralplan gate, implement through ultragoal or ultrawork, open a PR, run code review, wait for CI/DCO, fix failures, then ask for human-in-the-loop merge approval before merging…