Grilling
pietheinstrengholt/rssmonster
Grill the user relentlessly about a plan, decision, or idea.
Conducts rigorous, structured interviews to stress-test a plan, design, or idea by walking every branch of the decision tree until reaching shared understanding.
$ npx skills add LeoYeAI/openclaw-master-skills --skill interviewer-claw -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills interviewer-claw --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/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/interviewer-claw .claude/skills/interviewer-claw && 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 "interviewer-claw" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/interviewer-claw into .claude/skills/interviewer-claw/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interviewer-claw", 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/LeoYeAI/openclaw-master-skills/tree/main/skills/interviewer-clawType 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 LeoYeAI/openclaw-master-skills --skill interviewer-claw -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills interviewer-claw --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/interviewer-claw .agents/skills/interviewer-claw && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "interviewer-claw" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/interviewer-claw into .agents/skills/interviewer-claw/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interviewer-claw", 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 LeoYeAI/openclaw-master-skills --skill interviewer-claw -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills interviewer-claw --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/interviewer-claw .cursor/skills/interviewer-claw && 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 "interviewer-claw" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/interviewer-claw into .cursor/skills/interviewer-claw/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interviewer-claw", 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/LeoYeAI/openclaw-master-skills.git --path skills/interviewer-claw--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 LeoYeAI/openclaw-master-skills --skill interviewer-claw -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills interviewer-claw --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/interviewer-claw .gemini/skills/interviewer-claw && 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 "interviewer-claw" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/interviewer-claw into .gemini/skills/interviewer-claw/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interviewer-claw", 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 LeoYeAI/openclaw-master-skills interviewer-clawInstalls 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 LeoYeAI/openclaw-master-skills --skill interviewer-claw -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/interviewer-claw .github/skills/interviewer-claw && 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 "interviewer-claw" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/interviewer-claw into .github/skills/interviewer-claw/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interviewer-claw", 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 LeoYeAI/openclaw-master-skills --skill interviewer-claw -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills interviewer-claw --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/interviewer-claw .opencode/skills/interviewer-claw && 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 "interviewer-claw" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/interviewer-claw into .opencode/skills/interviewer-claw/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interviewer-claw", 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.
interviewer-clawConducts rigorous, structured interviews to stress-test a plan, design, or idea by walking every branch of the decision tree until reaching shared understanding.
Interviewer Claw is an agent skill from LeoYeAI/openclaw-master-skills. Conducts rigorous, structured interviews to stress-test a plan, design, or idea by walking every branch of the decision tree until reaching shared understanding. Use when user says "grill me", "stress-test my plan", "poke holes in this", "interview me about my design", "challenge my assumptions", or "help me think through this".
Its SKILL.md is about 5.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `README.md`, `_meta.json` and `references/speckit.md`).
It sits in Agent Workflows, covering Requirements gathering and Load testing. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.
12 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit e5199b5. 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.
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.
Interviewer Claw loads about 5.2k tokens when it runs, and up to ~7.3k if it reads all its reference files. Until then it costs about 87 tokens; SKILL.md has 2,699 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 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.
The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 2,699 words, ~5,166 tokens.
.claude/skills/interviewer-claw/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.You are a senior discovery interviewer with deep expertise in requirement elicitation, business analysis, and Socratic inquiry. Your job is to relentlessly interrogate the user's plan, design, or idea until every ambiguity is resolved and every branch of the decision tree reaches a concrete conclusion.
references/techniques.md).Embody these mindsets throughout the interview. Rotate between them as needed:
Escalate question sensitivity gradually to build trust before probing hard:
Do not jump to Deep Dive questions before completing Initiation and Discovery for the current topic.
For detailed questioning techniques (Socratic Clarification, Laddering, Five Whys, etc.), consult references/techniques.md.
The default entry point. Run this when the user invokes the skill without arguments, or says "grill me", "stress-test my plan", "interview me about my design", etc.
Parse the user's input to determine what to interview:
Execute phases in order. Do not skip phases. Do not jump ahead.
Identify the scope before asking anything else:
Use the answer to Phase 0 to select the right framing for subsequent phases.
Focus on the core motivation before any technical detail. Use the Jobs-to-be-Done lens:
Capture the functional, social, and emotional dimensions of the need.
When the user states a solution (e.g., "I need a database"), pivot to find the actual need:
Probe the boundaries. Adapt questions to the project type identified in Phase 0.
For software projects -- infrastructure:
For software projects -- design:
For non-software projects:
For all projects:
Systematically surface hidden risks using techniques from references/techniques.md:
Once all branches are resolved:
The interview is complete when ALL of the following are true:
When the user asks for help with this skill or invokes with the help argument, display the following:
Interviewer Claw -- Structured Interview Skill
Usage:
/interviewer-claw Start a new interview from scratch
/interviewer-claw [topic] Interview about a specific topic or idea
/interviewer-claw review Review and refine an existing plan or spec-kit artifacts
/interviewer-claw speckit Generate spec-kit artifacts from interview decisions
/interviewer-claw help Show this help message
What it does:
Walks every branch of your decision tree using Socratic inquiry
until every ambiguity is resolved. Produces a structured summary
of all decisions, open items, and identified risks.
For software projects, can also generate spec-kit-compatible
artifacts (spec.md, data-model.md, contracts, tasks.md).
Interview Phases:
Phase 0: Kick-off Scope, stakeholders, vision
Phase 1: Job Mapping The "what" and "why" (Jobs-to-be-Done)
Phase 2: Constraints Boundaries, feasibility, triple constraint
(software: data model, contracts, acceptance criteria)
Phase 3: Risk Inversion/pre-mortem, Five Whys, blind-spot check
Phase 4: Synthesis Structured summary and validation
Tips:
- Answer one question at a time for best results.
- Say "park it" to defer a question and come back later.
- Say "I don't know yet" -- that is valid, the item gets tracked.
- If you have an existing plan, use "review" to refine it.
- After a software interview, use "speckit" to generate artifacts.When the user says "review my plan", "review this document", or invokes with the review argument. This function reads an existing plan, then conducts a targeted interview to find gaps, strengthen weak points, and refine it.
Locate and read the plan:
Spec-kit detection: If the path contains a spec-kit artifact tree (e.g., specs/###-feature/spec.md, memory/constitution.md), read ALL related artifacts:
spec.md -- feature specificationplan.md -- implementation plandata-model.md -- entity definitionscontracts/ -- interface contractstasks.md -- task breakdownmemory/constitution.md -- project principlesCross-reference artifacts against each other during assessment.
After reading the plan, produce a brief assessment (do NOT show this to the user yet -- use it to guide your questioning):
If reviewing spec-kit artifacts, also assess:
[NEEDS CLARIFICATION] markers unresolved?Before probing weaknesses, build the strongest version of the plan. Follow these steps in order:
For each gap or weak point identified in Step 2, conduct a focused interview:
references/techniques.md as appropriate.Prioritize gaps in this order:
Additional probes for spec-kit artifacts: 7. Cross-artifact contradictions -- "The spec says X, but the data model implies Y. Which is correct?" 8. Constitution violations -- "The plan uses approach X, but your constitution states principle Y. Is this a justified exception?" 9. Missing traceability -- "This user story has no corresponding tasks. Is it deferred or was it overlooked?" 10. Underspecified contracts -- "This API endpoint has no error responses defined. What happens on failure?"
Once all gaps are addressed:
For software projects only. When the user says "generate a spec", "write a spec", "speckit", or asks you to produce spec-kit-compatible output after an interview. This function transforms interview decisions into structured artifacts following the spec-kit spec-driven development standard.
Prerequisite: A completed interview (via start or review) or enough context from the current conversation to populate all required fields. If context is insufficient, run the missing interview phases first.
Confirm that interview decisions cover these areas (if any are missing, ask before proceeding):
If memory/constitution.md does not already exist:
memory/constitution.md following the template in references/speckit.md.If it already exists, run a constitution compliance check against interview decisions.
Create specs/[###-feature-name]/spec.md following the template in references/speckit.md:
[NEEDS CLARIFICATION] (maximum 3).Create the remaining artifacts in the spec directory:
data-model.md -- Entities, fields, relationships, state transitions, and validation rules from Phase 2 design probing.contracts/ -- API surfaces, event formats, or CLI schemas from Phase 2 interface probing. One file per interface.tasks.md -- Dependency-ordered task breakdown with phase grouping, parallelization markers, and user story traceability. Format: - [ ] [T###] [P] [US#] Description \path/to/file``.checklists/requirements.md -- Validation checklist derived from acceptance criteria.For template structures, consult references/speckit.md.
Before presenting output to the user, verify:
[NEEDS CLARIFICATION] count exceeds 3 per artifact.Flag any failures to the user and resolve before finalizing.
Show the user:
[NEEDS CLARIFICATION] items that require resolution before implementation.After confirmation, write the files.
Do not proceed. Restate what you heard and ask for specifics:
Redirect firmly but respectfully:
This is valid. Park the item explicitly:
Flag immediately without judgment:
Step back and reframe:
The user mentions a stakeholder who has been silent but holds decision-making power:
The user (or a described stakeholder) provides only high-level vision without engaging with constraints:
© LeoYeAI, 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 4 other files (references) in skills/interviewer-claw of LeoYeAI/openclaw-master-skills.
Open the folder on GitHubat commit e5199b5
Interviewer Claw 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 |
|---|---|---|---|---|---|---|
| Interviewer Claw this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~5.2k | Automated safety check: Pass | MIT | |
| Grillingpietheinstrengholt/rssmonster | 564 | 32 repos | ~510 | Automated safety check: Pass | MIT | |
| Grill Menateherkai/AIS-OS | 1.6k | — | ~1.8k | Automated safety check: Pass | Custom licence | |
| Grill MeEffect-TS/effect-smol | 782 | 1 repos | ~504 | Automated safety check: Pass | MIT | |
| Grill Mesanity-io/sanity | 6.4k | 40 repos | ~151 | Automated safety check: Pass | MIT | |
| Deep Divebyungjunjang/jangpm-meta-skills | 121 | — | ~2.5k | Automated safety check: Pass | None |
pietheinstrengholt/rssmonster
Grill the user relentlessly about a plan, decision, or idea.
nateherkai/AIS-OS
Interview the user relentlessly about a plan, design, or topic, checkpointing every answer to a brainstorm file so nothing is lost.
Effect-TS/effect-smol
Interview the user about a plan or design until reaching shared understanding, resolving each branch of the decision tree.
sanity-io/sanity
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree.
byungjunjang/jangpm-meta-skills
Socratic interview skill to deepen a spec or refine an existing agent blueprint.
opencrvs/opencrvs-core
Grill the user relentlessly about a plan or design. An agent skill from opencrvs/opencrvs-core.
LeoYeAI/openclaw-master-skills
Manages pipelines on a DevOps quality and efficiency platform through its OpenAPI: list workspaces and templates, create, update, run and cancel pipelines, and read run records.
LeoYeAI/openclaw-master-skills
Patches OpenClaw's Feishu extension so an edited document triggers an isolated agent session that reads the doc and replies inline, turning it into a live chat space.
LeoYeAI/openclaw-master-skills
Multi-context memory management system for OpenClaw agents with group-isolated storage, global shared memory, workspace organization, and group-specific skills isolation.
LeoYeAI/openclaw-master-skills
Runs a brand's AI-search visibility work end to end: diagnosing how AI platforms represent it, repositioning it, producing AI-optimized content and monitoring ongoing mentions.
LeoYeAI/openclaw-master-skills
Installs and authenticates the gws CLI, then automates Gmail, Drive, Sheets, Calendar, Docs, Chat and Tasks with ready-made recipes, persona bundles and security audits.
LeoYeAI/openclaw-master-skills
Runs four advisor roles, a fitness coach, nutritionist, data analyst and TCM practitioner, to build a health profile and track workouts, diet and wellness over time.
Categories
Conducts rigorous, structured interviews to stress-test a plan, design, or idea by walking every branch of the decision tree until reaching shared understanding. Interviewer Claw is an agent skill from LeoYeAI/openclaw-master-skills. Conducts rigorous, structured interviews to stress-test a plan, design, or idea by walking every branch of the decision tree until reaching shared understanding.
Interviewer Claw fits situations like: user says grill me; stress-test my plan; poke holes in this; interview me about my design.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill interviewer-claw -a claude-code`. Or copy the skill folder (skills/interviewer-claw in LeoYeAI/openclaw-master-skills) into .claude/skills/interviewer-claw in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill interviewer-claw -a codex`. Or copy the skill folder (skills/interviewer-claw in LeoYeAI/openclaw-master-skills) into .agents/skills/interviewer-claw 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 LeoYeAI/openclaw-master-skills --skill interviewer-claw -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/interviewer-claw, .gemini/skills/interviewer-claw, .github/skills/interviewer-claw and .opencode/skills/interviewer-claw in your project.
SKILL.md names no scripts, command-line tools or credentials: Interviewer Claw 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 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.
Interviewer Claw is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 5.2k tokens (SKILL.md is roughly 21k 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 2.2k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Interviewer Claw: Grilling (pietheinstrengholt/rssmonster, 564 stars), Grill Me (nateherkai/AIS-OS, 1.6k stars), Grill Me (Effect-TS/effect-smol, 782 stars) and Grill Me (sanity-io/sanity, 6.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,159 GitHub stars. The repository holds 972 skills in this directory. The repository was last updated on July 20, 2026.
Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.