SEO Sxo
AgriciDaniel/codex-seo
Search Experience Optimization: reads Google SERPs backwards to detect page-type mismatches, derives user stories from search intent signals, and scores pages from multiple persona perspectives.
Gather missing product, UX, technical, and delivery constraints before planning or coding.
Install Requirement Interviewer
$ npx skills add ceilf6/FrontAgent --skill requirement-interviewer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ceilf6/FrontAgent requirement-interviewer --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/ceilf6/FrontAgent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/requirement-interviewer .claude/skills/requirement-interviewer && 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 "requirement-interviewer" agent skill from https://github.com/ceilf6/FrontAgent/tree/develop/skills/requirement-interviewer into .claude/skills/requirement-interviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "requirement-interviewer", 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/ceilf6/FrontAgent/tree/develop/skills/requirement-interviewerType 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 ceilf6/FrontAgent --skill requirement-interviewer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ceilf6/FrontAgent requirement-interviewer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ceilf6/FrontAgent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/requirement-interviewer .agents/skills/requirement-interviewer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "requirement-interviewer" agent skill from https://github.com/ceilf6/FrontAgent/tree/develop/skills/requirement-interviewer into .agents/skills/requirement-interviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "requirement-interviewer", 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 ceilf6/FrontAgent --skill requirement-interviewer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ceilf6/FrontAgent requirement-interviewer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ceilf6/FrontAgent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/requirement-interviewer .cursor/skills/requirement-interviewer && 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 "requirement-interviewer" agent skill from https://github.com/ceilf6/FrontAgent/tree/develop/skills/requirement-interviewer into .cursor/skills/requirement-interviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "requirement-interviewer", 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/ceilf6/FrontAgent.git --path skills/requirement-interviewer--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 ceilf6/FrontAgent --skill requirement-interviewer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ceilf6/FrontAgent requirement-interviewer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ceilf6/FrontAgent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/requirement-interviewer .gemini/skills/requirement-interviewer && 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 "requirement-interviewer" agent skill from https://github.com/ceilf6/FrontAgent/tree/develop/skills/requirement-interviewer into .gemini/skills/requirement-interviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "requirement-interviewer", 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 ceilf6/FrontAgent requirement-interviewerInstalls 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 ceilf6/FrontAgent --skill requirement-interviewer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ceilf6/FrontAgent.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/requirement-interviewer .github/skills/requirement-interviewer && 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 "requirement-interviewer" agent skill from https://github.com/ceilf6/FrontAgent/tree/develop/skills/requirement-interviewer into .github/skills/requirement-interviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "requirement-interviewer", 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 ceilf6/FrontAgent --skill requirement-interviewer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ceilf6/FrontAgent requirement-interviewer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ceilf6/FrontAgent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/requirement-interviewer .opencode/skills/requirement-interviewer && 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 "requirement-interviewer" agent skill from https://github.com/ceilf6/FrontAgent/tree/develop/skills/requirement-interviewer into .opencode/skills/requirement-interviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "requirement-interviewer", 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.
Facts
- Skill name
requirement-interviewer- GitHub stars
- 120
- Token cost
- ~476 tokens
- SKILL.md length
- 183 words
- Files
- 5 (incl. references)
- Skills in repo
- 4
- Repo updated
- First seen
- Licence
- MIT
At a glance
Gather missing product, UX, technical, and delivery constraints before planning or coding.
- Works in 6 steps: Read references/question-flow.md. → Ask only the next unanswered question… → Read references/answer-completeness.md… → …
- A request is underspecified
- SKILL.md covers Workflow, Interview Contract and Guardrails
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Requirement Interviewer is an agent skill from ceilf6/FrontAgent. Gather missing product, UX, technical, and delivery constraints before planning or coding. Use when a request is underspecified, when several implementations are plausible, when frontend work needs explicit acceptance criteria, or when the agent must ask structured questions before acting.
Its SKILL.md is about 480 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `agents/openai.yaml`, `references/answer-completeness.md` and `references/gating-rules.md`).
It sits in Product & Project Management, covering User stories. The repository describes itself as: Frontend AI coding agent platform with CLI, VS Code extension, desktop app, MCP server, RAG planning, Skills, SDD guardrails, browser automation, and LoRA planner models |…. The licence is MIT.
When your agent uses it
- A request is underspecified
- Several implementations are plausible
- Frontend work needs explicit acceptance criteria
- The agent must ask structured questions before acting
Example prompts
- “/requirement-interviewer”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Read references/question-flow.md.
- Ask only the next unanswered question cluster, not the whole interview at once.
- Read references/answer-completeness.md to decide whether the reply is sufficient or needs follow-up.
- Read references/gating-rules.md before moving from clarification into planning.
- After each phase, summarize confirmed facts, explicit assumptions, and open questions.
- Only when all mandatory gates pass, hand off a concise, execution-ready brief or plan.
What it can do on your machine
Read from SKILL.md and the folder at commit e78cbed. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Requirement Interviewer loads about 476 tokens when it runs, and up to ~1.2k if it reads all its reference files. Until then it costs about 79 tokens; SKILL.md has 183 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.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
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.
SKILL.md
The full file from ceilf6/FrontAgent at commit e78cbed, republished under its MIT licence (© ceilf6). 183 words, ~476 tokens.
Download SKILL.mdSave it as
.claude/skills/requirement-interviewer/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- requirement-interviewer
- description
- Gather missing product, UX, technical, and delivery constraints before planning or coding. Use when a request is underspecified, when several implementations are plausible, when frontend work needs explicit acceptance criteria, or when the agent must ask structured questions before acting.
- triggers.keywords
- clarify requirements, requirements interview, ask questions first, need requirements, 需求澄清, 先问问题, 先澄清, 采访需求
Requirement Interviewer
Collect missing constraints through phased questioning. Refuse to plan, code, or propose irreversible implementation details until the required answers are complete.
Workflow
- Read
references/question-flow.md. - Ask only the next unanswered question cluster, not the whole interview at once.
- Read
references/answer-completeness.mdto decide whether the reply is sufficient or needs follow-up. - Read
references/gating-rules.mdbefore moving from clarification into planning. - After each phase, summarize confirmed facts, explicit assumptions, and open questions.
- Only when all mandatory gates pass, hand off a concise, execution-ready brief or plan.
Interview Contract
- Ask 1-3 short questions at a time.
- Prefer constrained choices when possible.
- Keep questions ordered: objective first, implementation later.
- If the user says "you decide", record the default explicitly as an assumption.
- Separate confirmed requirements from inferred assumptions.
Guardrails
- Do not generate code, file edits, or architecture proposals before gates pass.
- Do not ask duplicate questions.
- Do not jump into low-level implementation details before product intent is clear.
- Do not silently fill critical gaps with guesses.
- Stop and ask for explicit approval when the decision changes scope, cost, or stack direction.
© ceilf6, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 4 other files (references) in skills/requirement-interviewer of ceilf6/FrontAgent.
- SKILL.md
- agents/openai.yaml
- references/answer-completeness.md
- references/gating-rules.md
- references/question-flow.md
Open the folder on GitHubat commit e78cbed
Compare with similar skills
Requirement Interviewer 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 |
|---|---|---|---|---|---|---|
| Requirement Interviewer this skillceilf6/FrontAgent | 120 | — | ~476 | Automated safety check: Pass | MIT | |
| SEO SxoAgriciDaniel/codex-seo | 791 | 2 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Add Customer To User Listlangfuse/langfuse-docs | 246 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Create StoriesDonchitos/Claude-Code-Game-Studios | 26k | — | ~7.2k | Automated safety check: Pass | MIT | |
| Harness Plan BriefChachamaru127/claude-code-harness | 3.2k | — | ~2.2k | Automated safety check: Notes | MIT | |
| Sveltekit WebappLeoYeAI/openclaw-master-skills | 2.2k | — | ~5.2k | Automated safety check: Notes | MIT |
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Related
Questions about Requirement Interviewer
What does Requirement Interviewer do?
Gather missing product, UX, technical, and delivery constraints before planning or coding. Requirement Interviewer is an agent skill from ceilf6/FrontAgent. Gather missing product, UX, technical, and delivery constraints before planning or coding.
When should I use Requirement Interviewer?
Requirement Interviewer fits situations like: A request is underspecified; several implementations are plausible; frontend work needs explicit acceptance criteria; the agent must ask structured questions before acting.
How do I install Requirement Interviewer in Claude Code?
Run `npx skills add ceilf6/FrontAgent --skill requirement-interviewer -a claude-code`. Or copy the skill folder (skills/requirement-interviewer in ceilf6/FrontAgent) into .claude/skills/requirement-interviewer in your project. Claude Code loads it when a task matches its description.
How do I install Requirement Interviewer in Codex?
Run `npx skills add ceilf6/FrontAgent --skill requirement-interviewer -a codex`. Or copy the skill folder (skills/requirement-interviewer in ceilf6/FrontAgent) into .agents/skills/requirement-interviewer in your project. Codex loads it when a task matches its description.
Can I use Requirement Interviewer in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ceilf6/FrontAgent --skill requirement-interviewer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/requirement-interviewer, .gemini/skills/requirement-interviewer, .github/skills/requirement-interviewer and .opencode/skills/requirement-interviewer in your project.
What does Requirement Interviewer need to run?
SKILL.md names no scripts, command-line tools or credentials: Requirement Interviewer is instructions for the agent only.
Does Requirement Interviewer access the network?
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.
Is Requirement Interviewer safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Requirement Interviewer use?
Requirement Interviewer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Requirement Interviewer use?
About 476 tokens (SKILL.md is roughly 1.9k 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 746 tokens, read only when the agent opens those files.
What are the alternatives to Requirement Interviewer?
Skills that share tags, products or a category with Requirement Interviewer: SEO Sxo (AgriciDaniel/codex-seo, 791 stars), Add Customer To User List (langfuse/langfuse-docs, 246 stars), Create Stories (Donchitos/Claude-Code-Game-Studios, 26k stars) and Harness Plan Brief (Chachamaru127/claude-code-harness, 3.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Requirement Interviewer?
ceilf6 (a GitHub user) maintains it in ceilf6/FrontAgent, which has 120 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on September 30, 2026.
Source: ceilf6/FrontAgent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.