agentleFS
gufrancogufranco/claude-engineering-rules/skills/interview-me/SKILL.md

interview-me

Skill3 starsChanged 30 days agoMITView on GitHub

One-question-at-a-time intent clarification for underspecified or ambiguous asks. Drives toward 95%+ intent confidence before any implementation. Use when user says "interview me", "grill me", "are we sure?", "stress-test my thinking", or when the request is too vague to act on without guessing. Use only while the request is underspecified; a concretely specified task proceeds straight to the work.

98 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use constraint-driven-development, idea-refine 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.
  • MrCipherSmithSkill

    constraint-driven-development

    Use when a project needs a persistent, measurable quality bar — starting a project without documented standards, 'set up constraints', or when coverage/perf/a11y thresholds get re-debated per-PR. Produces CONSTRAINTS.md with enforceable numbers, ratchets, and a guard against silent weakening. NOT for throwaway prototypes or a one-off CI setup.

    Also in 16 projects that use this

  • LLl0k0laDSkill

    idea-refine

    Refine ideas through structured divergent and convergent thinking. Use "idea-refine" or "ideate" to trigger.

    Also in 42 projects that use this

  • LLl0k0laDSkill

    using-agent-skills

    Use when starting a session or when you need to discover which skill applies to the current task. This is the meta-skill that governs how all other skills are discovered and invoked.

    Also in 32 projects that use this

  • HK-hubSkill

    observability-and-instrumentation

    Instruments code so production behavior is visible and diagnosable. Use when adding logging, metrics, tracing, or alerting. Use when shipping any feature that runs in production and you need evidence it works. Use when production issues are reported but you can't tell what happened from the available data.

    Also in 32 projects that use this

  • orenluxySkill

    implementation-notes

    Maintain an IMPLEMENTATION_NOTES.md decision log during any multi-step implementation session. Use this in EVERY session that involves writing or modifying code across more than one file, or any session expected to run longer than a few tool calls. Records decisions, deviations from plan, and open questions so nothing is silently guessed.

    Also in 3 projects that use this

  • HK-hubSkill

    deprecation-and-migration

    Manages deprecation and migration. Use when removing old systems, APIs, or features. Use when migrating users from one implementation to another. Use when deciding whether to maintain or sunset existing code.

    Also in 29 projects that use this

  • +6 more from LLl0k0laD

The file

Show its rules and text

We split this skill into the rules it gives an agent

15 rules. 0 are common, 11 are distinctive, and 4 are very specific to this project.

  • 0

    Common

    Most of the 84 edited versions we read keep these.

  • 11

    Distinctive

    This author's own choices. Worth a look.

  • 4

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Before starting non-trivial work where the cost of wrong direction is high

    line 20
  2. Distinctive:

    After a partial implementation, when the user shifts scope mid-task

    line 21
  3. Distinctive:

    Do NOT use when:

    line 23
  4. Distinctive:

    Self-investigate first: Before asking, spend up to one minute on read-only investigation: grep, glob, read named files.

    line 31
  5. Very specific:

    When talk cannot settle the question, as with how a screen should look or how a state model behaves across awkward cases, stop asking and …

    line 34
  6. Distinctive:

    Update confidence: After the answer, restate confidence.

    line 35
  7. Distinctive:

    Summarize: When confidence reaches 9/10 or higher, write a three-sentence task statement: what will be done, what will NOT be done, how …

    line 36
  8. Very specific:

    Before the first question, check for GLOSSARY.md at the project root, or GLOSSARY-INDEX.md pointing at per-context glossaries.

    line 40
  9. Distinctive:

    When a glossary exists:

    line 42
  10. Very specific:

    When the user uses a word listed under Avoid, call it out: "the glossary lists <canonical> for that concept and <word-the-user-said> under …

    line 46
  11. Distinctive:

    When the user's intent contradicts what the code does, surface it: "the glossary and the code both treat X as Y.

    line 48
  12. Distinctive:

    If any one is missing, skip the ADR.

    line 58
  13. Distinctive:

    Every question asked was preceded by at least one read or grep

    line 81
  14. Distinctive:

    No question was bundled with another

    line 82
  15. Very specific:

    Every question carried a recommended option, listed first and labeled (Recommended)

    line 83

“Common” is measured: kept by at least 6 in 10 of the 84 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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Structured intent-clarification interview. Forces one question at a time, with each subsequent question shaped by the previous answer, until the model can describe the work in three sentences without ambiguity.

Overview

When a task is underspecified, the cost of one clarifying question is near zero compared to the cost of wrong-direction work. This skill formalizes the interview: it caps questions per turn at one, requires self-investigation between turns, and exits only when a Confidence Score reaches 9/10 or higher.

When to Use

  • User says "interview me", "grill me", "stress-test", "are we sure?"
  • The ask uses vague verbs: "improve", "clean up", "fix", "simplify", "modernize"
  • Multiple plausible interpretations exist and the model is about to guess
  • Before starting non-trivial work where the cost of wrong direction is high
  • After a partial implementation, when the user shifts scope mid-task

Do NOT use when:

  • The user has named specific files, functions, or behavior
  • The task is small enough that exploratory implementation is cheaper than clarification
  • A /plan is already approved (use the plan, not the interview)

Process

  1. Confidence baseline. State current confidence as a number from 1 to 10 with one sentence each on what is known and what is unknown.
  2. Self-investigate first. Before asking, spend up to one minute on read-only investigation: grep, glob, read named files. Resolve anything that can be resolved without the user.
  3. Ask one question. First line is the question, worded so that "yes" accepts the recommended option. Second block names what was investigated, with paths. Third block lists 2 to 3 options with one decisive trade-off each; the recommended option comes first, its label ends with (Recommended), and one sentence gives the decisive reason. Use AskUserQuestion for the question, not free-text prose.
    • When the question tests a domain term or a relationship between concepts, ground it in a concrete edge-case scenario invented for the purpose, such as "an order is half shipped when the customer cancels: is that one cancellation or two?" A scenario forces the boundary between concepts into the open where a definition lets it blur.
    • When talk cannot settle the question, as with how a screen should look or how a state model behaves across awkward cases, stop asking and call the Skill tool with spike, passing the question. Its verdict becomes the answer, and the interview resumes from step 4.
  4. Update confidence. After the answer, restate confidence. If still below 9/10, repeat from step 2.
  5. Summarize. When confidence reaches 9/10 or higher, write a three-sentence task statement: what will be done, what will NOT be done, how done will be verified. Wait for explicit "yes" before any implementation.

When the project has a glossary

Before the first question, check for GLOSSARY.md at the project root, or GLOSSARY-INDEX.md pointing at per-context glossaries. See ../../rules/project-glossary.md.

When a glossary exists:

  • Load every term and its Avoid clause before asking anything.
  • Phrase every question using the glossary's canonical terms.
  • When the user uses a word listed under Avoid, call it out: "the glossary lists <canonical> for that concept and <word-the-user-said> under Avoid. Are we talking about the same thing, or has the meaning shifted?".
  • When the user introduces a new term that has no entry, propose adding it inline. Update GLOSSARY.md with the Edit tool before continuing, creating it with Write on the first real term. Glossary edits are the only writes this skill makes before the task statement is approved.
  • When the user's intent contradicts what the code does, surface it: "the glossary and the code both treat X as Y. You described it as Z. Which is the truth now?".

When to offer an ADR

Offer to record an Architecture Decision Record only when all three are true:

  1. The decision is hard to reverse. Switching it later would cost real time.
  2. The decision will look surprising without context. A future reader will ask "why did they do it this way?".
  3. The decision is the result of a real trade-off. There were genuine alternatives and the user picked one for specific reasons.

If any one is missing, skip the ADR. Do not bury easy-to-change calls in the ADR record. Do not record the obvious.

Common Rationalizations

  • "The ask is clear enough": restate it in three sentences. If two are about what the user did NOT say, it is not clear.
  • "I will figure it out as I go": wrong-direction work is the most expensive mistake. The interview costs minutes; a refactor costs hours.
  • "Asking too many questions is annoying": one well-formed question is not annoying. Five rapid-fire questions are. This skill caps at one per turn.
  • "The user said just do it": that triggers execute-mode per CLAUDE.md, NOT this skill. Honor the directive.

Red Flags

  • About to invoke Write or Edit without a confidence score
  • About to ask two questions in one turn
  • Offering options with no recommendation, or a recommendation that is not listed first
  • Asking a question whose answer is in the first file the user named
  • Skipping the self-investigation step because "the user knows"
  • Writing implementation code while confidence is below 8/10
  • Restating the user's words back as a question instead of resolving them

Verification

  • Final task statement is three sentences: what, what-not, how-verified
  • User has answered "yes" to the statement, not "ok" or "sure"
  • Every question asked was preceded by at least one read or grep
  • No question was bundled with another
  • Every question carried a recommended option, listed first and labeled (Recommended)
  • Confidence score documented before and after each round

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.