interview
Skill2 starsChanged 10 days agoMITView on GitHub
Interview the user in short rounds of up to four questions on a design tree until every decision is settled, and keep a decisions log. Use when the user says \"grill me\" or wants to stress-test a plan or decision, and when /spec interviews for a spec.
94 other projects use a version of this.
Adopted by
Most recently taken up by
- chrisdesmondSML/chris-skillstheir own version, first seen Nov 8, 2026
- Firzus/agent-skillstheir own version, first seen Nov 8, 2026
- claude-code-hardened/claude-code-hardenedtheir own version, first seen Nov 8, 2026
- MMACABRE/SKILLStheir own version, first seen Nov 8, 2026
- yuri-xyz/skillstheir own version, first seen Nov 8, 2026
- codewhale-hq/codewhale-plugin-marketplacetheir own version, first seen Nov 8, 2026
Used with
Projects with it also use fetch-library-docs, contributor and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
Rehan-Ul-HaqSkillfetch-library-docs
Fetches official documentation for external libraries and frameworks (React, Next.js, Prisma, FastAPI, Express, Tailwind, MongoDB, etc.) with 60-90% token savings via content-type filtering. Use this skill when implementing features using library APIs, debugging library-specific errors, troubleshooting configuration issues, installing or setting up frameworks, integrating third-party packages, upgrading between library versions, or looking up correct API patterns and best practices. Triggers automatically during coding work - fetch docs before writing library code to get correct patterns, not after guessing wrong.
Also in 4 projects that use this
NimbleBrainIncSkillcontributor
Get started contributing to NimbleBrain open source — find an integration to build, set up your environment, propose an idea, or check on your work. Use when onboarding as a contributor. Triggers include "I'm a new contributor", "what should I build", "show me open issues", "file an issue".
Also in 3 projects that use this
mjunaidcaSkillbrowsing-with-playwright
Browser automation using Playwright MCP. Navigate websites, fill forms, click elements, take screenshots, and extract data. Use when tasks require web browsing, form submission, web scraping, UI testing, or any browser interaction. NOT when only fetching static content (use curl/wget instead).
Also in 4 projects that use this
qa-amanSkillteach-me
Teach a topic, video, article, codebase change, spec, or transcript until the user demonstrably understands it, using staged instruction, a running checklist doc, and quizzes. Use whenever the user says "teach me", "explain this in detail", "help me understand X", "/teach-me", "walk me through this", "I want to learn X", "understand this deeply", or pastes a YouTube URL, article, paper, PR, or spec and asks to understand it rather than summarize it. Also use when the user wants study notes or raw material from a source they are learning. Do NOT use for a quick factual lookup, a summary request, or when the user just wants the answer.
Also in 8 projects that use this
trebaudSkillfind-unknowns
Workflow for surfacing a task's unknowns before, during, and after implementation — blind spot pass, brainstorm/prototype, interview, references, implementation plan, deviation notes, quiz. Use when starting work in an unfamiliar domain or codebase, when a task feels underspecified, when the user says "find my unknowns", "blindspot pass", "what am I missing", "help me scope this", or when a long task came back wrong.
Also in 3 projects that use this
donatassimkusSkilloffer
Offer design, pricing strategy, and business model architecture. Invoke when asked about making an offer better, pricing a product or service, naming an offer, raising prices, generating fast cash, increasing lifetime value, finding the right customer, qualifying buyers, or designing a business model where customers pay for their own acquisition. Use when someone says their offer isn't converting, they need to charge more, they want to add bonuses or guarantees, or they need a money model for their business.
Also in 3 projects that use this
Other versions94 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 94
- claude-code-best/claude-code★ 23ksame name
- Q00/ouroboros★ 6.3ksame name
- Hisn00w/ASu-skills★ 6.1ksame name
- boshu2/agentops★ 453same name
- genkovich/sdd★ 187same name
- jvm-skills/jvm-skills★ 140same name
- kv0906/pm-kit★ 138same name
- tobieapb/claude-interactive-documentation-workflow★ 105same name
- panaversity/claude-code-skills-lab★ 57same name
- roman01la/skills-agents★ 48same name
84 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository22 other files it gives its agents.
The file
We split this skill into the rules it gives an agent
10 rules. 0 are common, 9 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 80 edited versions we read keep these.
9
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 8
Run the interview until you both share one understanding of the plan.
- Distinctive: line 14
Read what already bears on the plan: the code in the area, the glossary, the ADRs, and the issue or text the user gave.
- Distinctive: line 29
Write the question in one sentence that stands on its own text.
- Distinctive: line 31
Use text in place of the tool only for an open question, and ask it alone.
- Distinctive: line 35
When the caller names required decisions, each one gets its own question.
- Very specific: line 36
When the user asks to file a follow-up, call the Skill tool with issue for it.
- Distinctive: line 37
Facts are your job. Decisions are the user's: When a question needs a fact from the code, the tracker or the docs, look it up, and put it …
- Distinctive: line 45
Write each settled decision to the log, in one sentence, with the reason when the user gave one.
- Distinctive: line 55
When the frontier is empty and a skill called you, return the log and stop.
- Distinctive: line 57
When the user called you, show the log, one line per decision, and ask the user to confirm it.
“Common” is measured: kept by at least 6 in 10 of the 80 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Interview
Run the interview until you both share one understanding of the plan. Map the plan as a design tree: each decision branches into the decisions that depend on it. The frontier is every open decision whose prerequisites are settled.
The user's attention is the scarce resource, and each wait for an answer costs the most time: plan questions cost about 40 hours of waiting in one month. Ask in rounds: one question tool call with four questions or fewer. Spend each question on a decision that unblocks the tree.
1. Prepare
- Read what already bears on the plan: the code in the area, the glossary, the ADRs, and the issue or text the user gave.
- Open the decisions log. In a git repo, write it to
.scratch/interview/<slug>.md, and add.scratch/to.git/info/excludewhen git does not already ignore it. Outside a repo, keep the log in the conversation. The log has four sections: Decisions, Terms, ADR candidates, Out of scope.
Completion: you can name the root of the design tree, and the log exists.
2. Ask
Take the frontier decisions that the most open decisions depend on, four or fewer. Before the round, write one line in your message:
Recorded: <each decision settled by the last round, a few words each> · about <k> questions leftThen ask the round in one question tool call. For each question:
- Write the question in one sentence that stands on its own text. Add one line of context only when the user cannot answer without it.
- Give two to four options, with your recommendation first, and the cost of each other option in its description.
- Use text in place of the tool only for an open question, and ask it alone.
A question earns its place only when the answer changes the plan. <k> is your estimate: answers can open new branches, so the count can go up.
- When the caller names required decisions, each one gets its own question. Ask about decisions, such as what a user can do, and never about the wording of content, such as user story text. The caller writes the content from the log.
- When the user asks to file a follow-up, call the Skill tool with
issuefor it. Then ask the open questions again. - Facts are your job. Decisions are the user's. When a question needs a fact from the code, the tracker or the docs, look it up, and put it in the log. For a wide search, send a subagent.
Completion: one round is sent, and you wait for the answers.
3. Record
After each round:
- Write each settled decision to the log, in one sentence, with the reason when the user gave one.
- A word whose meaning got settled goes under Terms. A decision that is hard to reverse, surprising to a newcomer, and the result of a real choice goes under ADR candidates. Anything the user excluded goes under Out of scope.
- Recompute the frontier. An answer can close a branch, open a branch, or reverse an earlier decision. When it reverses one, update the log entry and say so in the next Recorded line.
Listen for should-want answers: best-practice words with no specifics, such as "scalable", "clean" or "the standard way". Ask what the user would choose if nobody would see the reason. Then record that answer.
Completion: the log matches every answer so far. Go back to step 2 while the frontier has a decision.
4. Close
When the frontier is empty and a skill called you, return the log and stop. The caller shows one approval of its own, so a second confirmation here only repeats it.
When the user called you, show the log, one line per decision, and ask the user to confirm it. "Sounds good" or "whatever you think" is not a confirmation. Ask what they would change.
Completion: the frontier is empty, and the log went to the caller, or the user confirmed it with an explicit yes. Then stop. The caller, or the user, decides what happens next.
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