Using Superpowers
farm-fe/farm
A skill your agent uses when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
[omh] Vague, underspecified request: one-question-at-a-time clarification.
The automated check flagged lines worth reading first. See the safety section below.
$ npx skills add rlaope/oh-my-hermes --skill ulw-interview -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install rlaope/oh-my-hermes ulw-interview --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ulw-interview .claude/skills/ulw-interview && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "ulw-interview" agent skill from https://github.com/rlaope/oh-my-hermes/tree/main/skills/ulw-interview into .claude/skills/ulw-interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ulw-interview", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/rlaope/oh-my-hermes/tree/main/skills/ulw-interviewType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add rlaope/oh-my-hermes --skill ulw-interview -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install rlaope/oh-my-hermes ulw-interview --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ulw-interview .agents/skills/ulw-interview && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ulw-interview" agent skill from https://github.com/rlaope/oh-my-hermes/tree/main/skills/ulw-interview into .agents/skills/ulw-interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ulw-interview", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add rlaope/oh-my-hermes --skill ulw-interview -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install rlaope/oh-my-hermes ulw-interview --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ulw-interview .cursor/skills/ulw-interview && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ulw-interview" agent skill from https://github.com/rlaope/oh-my-hermes/tree/main/skills/ulw-interview into .cursor/skills/ulw-interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ulw-interview", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/rlaope/oh-my-hermes.git --path skills/ulw-interview--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add rlaope/oh-my-hermes --skill ulw-interview -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install rlaope/oh-my-hermes ulw-interview --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ulw-interview .gemini/skills/ulw-interview && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ulw-interview" agent skill from https://github.com/rlaope/oh-my-hermes/tree/main/skills/ulw-interview into .gemini/skills/ulw-interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ulw-interview", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install rlaope/oh-my-hermes ulw-interviewInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add rlaope/oh-my-hermes --skill ulw-interview -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ulw-interview .github/skills/ulw-interview && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ulw-interview" agent skill from https://github.com/rlaope/oh-my-hermes/tree/main/skills/ulw-interview into .github/skills/ulw-interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ulw-interview", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add rlaope/oh-my-hermes --skill ulw-interview -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install rlaope/oh-my-hermes ulw-interview --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ulw-interview .opencode/skills/ulw-interview && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ulw-interview" agent skill from https://github.com/rlaope/oh-my-hermes/tree/main/skills/ulw-interview into .opencode/skills/ulw-interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ulw-interview", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
ulw-interview[omh] Vague, underspecified request: one-question-at-a-time clarification.
Ulw Interview is an agent skill from rlaope/oh-my-hermes. [omh] Vague, underspecified request: one-question-at-a-time clarification. Use when the user says: deep-interview, interview me, clarify, feature shaping, ambiguous product request, one question, 要件を詰めて, 曖昧な要求.
Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/ambiguity-taxonomy.md`).
It sits in Agent Workflows, covering Requirements gathering. The repository describes itself as: All in one plugin for Hermes Agent ⚚ the coding intelligence, a long-term memory system and model optimized workflow packages. The licence is MIT.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit f772a94. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Ulw Interview loads about 2.6k tokens when it runs, and up to ~3.9k if it reads all its reference files. Until then it costs about 56 tokens; SKILL.md has 1,470 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found patterns that need a careful read before installing.
from the repository or local artifacts without asking the user.Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from rlaope/oh-my-hermes at commit f772a94, republished under its MIT licence (© rlaope). 1,470 words, ~2,646 tokens.
.claude/skills/ulw-interview/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.This is a Hermes-native deep-interview workflow skill.
deep-interview exists to stop Hermes from guessing through ambiguous product, workflow, or implementation intent; it converts uncertainty into a clarified brief before planning or handoff.
context and its direct-lookup/frontier boundary.decision-prototype.Good example:
Bad example:
oh-my-hermes, meta-router, deep-interview, context, plan, ralplan, adversarial-consensus, codebase-onboarding, +8 more) - clarify, plan, ship, or loop goals.oh-my-hermes or name the adjacent workflow.omh-routing/references/skill-common-rail.md.This interview is bounded: at most 6 rounds, one question per round.
Before each question, find the most recent round header you emitted in this thread and add 1. If there is no header, you are at Round 1. If you have already asked questions here but cannot recover the number (for example after context compaction), do not restart at Round 1 — run the mid-interview check now and continue from Round 4.
Every question is preceded by this header on its own line, then a blank line, then the question:
Round {n}/6 · Clarity: {percent}% ({resolved}/3) · Targeting: {dimension}{resolved} counts how many you could restate in one sentence
without a qualifier. The denominator is always 3; {percent} is 0, 33, 67, or 100.{dimension} names the unresolved dimension this question targets — the one that most
changes the plan, not the easiest one.Voice — the header is instrumentation; the question is a conversation.
라운드 {n}/6 · 명확도: {percent}% ({resolved}/3) · 확인 중: {목표/제약과 비목표/성공 기준}.
Never mix languages in one message.Answer options — every question ships with candidates.
After the question sentence, offer the likely answers as a short numbered list: two to four
real candidates, then one final free-input entry. Each candidate is an answer the user could
actually pick — drawn from the request, repo evidence, or the tradeoff the question is really
about, never filler to reach a count, and never a candidate whose text is itself a bare number
(it would collide with reply-by-number). The last entry is always the open door, in the user's
language — for example English N) Something else — type your answer, Korean N) 기타 — 직접 입력.
Mid-interview check — this is not a stop rule.
Before asking the question that would be Round 4, offer the choice instead: say where things stand and ask whether to keep going or plan now — your own words, the user's language, one short sentence, with the same option shape: keep going / plan now / free input. The check is not a round: emit it without a header. If the user chooses to continue, the next question is Round 4; if they choose to plan, stop rule 2 applies.
Stop rules — the first match ends the interview.
These are stop rules you follow, not caps OMH enforces. When torn between one more question and stopping, stop and plan.
Use before planning or execution when requirements are materially ambiguous.
Strong routing signals: `deep-interview`, `$deep-interview`, `interview me`, `don't assume`, `clarify`, `feature shaping`, `ambiguous product request`, `one question`, `要件を詰めて`, `曖昧な要求`, `一問一答で確認`, `オンボーディング`, `온보딩`, `부드럽게`, `모호한 제품 요청`, `기획자`, `개발자 사이`, `澄清需求`, `需求不明确`, `一次问一个问题`Category: clarification
Phase: discovery
Hermes role: planner
Quality tier: clarity-gated
Reasoning demand: light
Quality bar:
references/ambiguity-taxonomy.md and score every category Clear/Partial/Missing, then spend the round budget worst-first and write each accepted answer back into the artifact being clarified.Handoff policy:
Run directly in Hermes or the chat wrapper; produce a clarified brief before any coding handoff is prepared.
Required inputs:
Expected outputs:
Artifact expectations:
Safety rules:
Preferred harness for this skill: deep-interview.
omh runtime record --skill deep-interview --harness deep-interview --status startedRecord observed delegation results; otherwise return not_available or not_observed.
Prepared OMH routing is not execution, review, CI, merge-readiness, or merge evidence.
Use Hermes-native subagent/delegation features when available: native subagents -> Hermes delegation when available, otherwise sequential lanes.
Shared product, compatibility, topology, memory, harness, and execution rules: omh-routing/references/skill-common-rail.md. Load it when applicable; otherwise name an unavailable capability.
© rlaope, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (references) in skills/ulw-interview of rlaope/oh-my-hermes.
Open the folder on GitHubat commit f772a94
Ulw Interview next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Ulw Interview this skillrlaope/oh-my-hermes | 3.2k | — | ~2.6k | Automated safety check: Warn | MIT | |
| Using Superpowersfarm-fe/farm | 5.6k | 35 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Interview Meaddyosmani/agent-skills | 103k | 6 repos | ~3.8k | Automated safety check: Pass | MIT | |
| Grillingpietheinstrengholt/rssmonster | 564 | 32 repos | ~510 | Automated safety check: Pass | MIT | |
| Agentic Workflow Designerdotnet/Open-XML-SDK | 4.6k | 2 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Ask User QuestionMemTensor/MemOS | 12k | — | ~1k | Automated safety check: Pass | Apache-2.0 |
farm-fe/farm
A skill your agent uses when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
addyosmani/agent-skills
Asks one question at a time, each with a best guess attached, until the agent is about 95 percent sure what you really want, before any plan, spec or code.
pietheinstrengholt/rssmonster
Grill the user relentlessly about a plan, decision, or idea.
dotnet/Open-XML-SDK
Interviews you one question at a time about goal, trigger, permissions and data needs, then drafts a single agentic workflow markdown file.
MemTensor/MemOS
Shows a question as a modal in the interface to clarify a task, collect a preference or get approval, since the user cannot see terminal output.
jnMetaCode/superpowers-zh
Turns a rough idea into an approved design before any code is written, sorting the request into spike, bounded or architectural and enforcing an approval gate.
rlaope/oh-my-hermes
[omh] Screen-reader or keyboard accessibility gaps: prepare WCAG, keyboard, focus, screen-reader, target-size, and reflow evidence gates for UI surfaces.
rlaope/oh-my-hermes
[omh] Choosing between coding agents on evidence: compare executor or agent choices on reproducible tasks using quality, cost, time, tool, and evidence metrics.
rlaope/oh-my-hermes
[omh] Agent instruction file for a repo -- AGENTS.md, CLAUDE.md, a Cursor rule: write or update what an agent cannot derive from the code, inside a marked region, with every command verified or…
rlaope/oh-my-hermes
[omh] AI agent progress for managers: help managers inspect AI-agent progress, blockers, quality gates, and throughput levers.
rlaope/oh-my-hermes
[omh] Messy or AI-generated code to clean up: delete AI-generated slop, dead code, and duplication while observable behavior stays identical.
rlaope/oh-my-hermes
[omh] Application code misbehaves -- a wrong value, a flaky test, a lost update: reproduce it first, form competing hypotheses, discriminate them with the cheapest observation, and only then fix the…
Categories
[omh] Vague, underspecified request: one-question-at-a-time clarification. Ulw Interview is an agent skill from rlaope/oh-my-hermes. [omh] Vague, underspecified request: one-question-at-a-time clarification.
Ulw Interview fits situations like: the user says: deep-interview; feature shaping; ambiguous product request.
Run `npx skills add rlaope/oh-my-hermes --skill ulw-interview -a claude-code`. Or copy the skill folder (skills/ulw-interview in rlaope/oh-my-hermes) into .claude/skills/ulw-interview in your project. Claude Code loads it when a task matches its description.
Run `npx skills add rlaope/oh-my-hermes --skill ulw-interview -a codex`. Or copy the skill folder (skills/ulw-interview in rlaope/oh-my-hermes) into .agents/skills/ulw-interview in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add rlaope/oh-my-hermes --skill ulw-interview -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ulw-interview, .gemini/skills/ulw-interview, .github/skills/ulw-interview and .opencode/skills/ulw-interview in your project.
SKILL.md names no scripts, command-line tools or credentials: Ulw Interview is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md flagged 1 warning(s): tells the agent its actions are pre-authorized / not to stop for confirmation. Read the flagged lines before installing; the check is not a guarantee either way.
Ulw Interview is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.6k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.2k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Ulw Interview: Using Superpowers (farm-fe/farm, 5.6k stars), Interview Me (addyosmani/agent-skills, 103k stars), Grilling (pietheinstrengholt/rssmonster, 564 stars) and Agentic Workflow Designer (dotnet/Open-XML-SDK, 4.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
rlaope (a GitHub user) maintains it in rlaope/oh-my-hermes, which has 3,207 GitHub stars. The repository holds 143 skills in this directory. The repository was last updated on October 8, 2026.
Source: rlaope/oh-my-hermes on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.