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claude-spec-interviewer — Claude Code skill: setup & overview

Turns ambiguous coding requests into verified specs with testable acceptance criteria, validation commands, and needed ADRs before coding.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add stark-ai-de/agent-skills --skill claude-spec-interviewer -a claude-code
Open on GitHub

What claude-spec-interviewer does

The skill runs an interview before coding starts. It inspects repo guidance like CLAUDE.md, AGENTS.md, tests, and existing ADRs. The agent checks requirements against the actual code. It asks only unresolved questions across three depth levels: compact, standard, or deep.

The resulting spec includes bounded scope, acceptance criteria, and validation commands. When architecture shifts occur, it drafts ADR records. The skill does not write feature code. Instead, it produces an execution prompt for Claude Code.

Disk writes stay blocked while native Plan mode remains active. The skill saves artifacts only after direct user approval.

What it helps with

  • convert vague requirements into testable engineering specs
  • verify implementation plans against existing ADRs and repo docs
  • generate acceptance criteria and verification commands before coding
  • draft architecture decision records for complex modifications

Example prompts for the agent

  • /claude-spec-interviewer Plan Stripe payment webhook integration
  • Check CLAUDE.md and build a detailed spec for the auth module refactor
  • /claude-spec-interviewer Define migration steps and draft needed ADRs

How to install claude-spec-interviewer

1Skills CLI (Vercel)

npx skills add stark-ai-de/agent-skills --skill claude-spec-interviewer -a claude-code

2Manually: put the files in place

~/.claude/skills/claude-spec-interviewer/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/claude-spec-interviewer/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about claude-spec-interviewer

How to install claude-spec-interviewer in Claude Code?

Run npx skills add stark-ai-de/agent-skills --skill claude-spec-interviewer -a claude-code. The skill file installs to ~/.claude/skills/claude-spec-interviewer/SKILL.md.

What does claude-spec-interviewer do?

It interviews you on unresolved decisions, challenges assumptions against repo documentation, and writes a testable spec. It hands off an execution prompt without implementing the code itself.

Does the skill write files without confirmation?

No, write permissions stay locked while native Plan mode is active. It requires explicit authorization before saving specs or ADR files to the repository.

Source text

SKILL.md · Apache-2.0
---
name: claude-spec-interviewer
description: Turn ambiguous coding requests into verified Claude Code implementation specs. Use when the user wants requirements, an implementation plan, or a spec before coding; include source checks, needed ADRs, and agreed delivery. Do not use for already specified direct implementation or memory cleanup.
license: Apache-2.0
compatibility: Targets Claude Code evidence and execution prompts across Agent Skills hosts. Use the current execution host's available controls and permissions, with conversational support for older hosts.
metadata:
  author: stark-ai-de
  category: claude-operations
  version: "0.3.0"
---

# Claude Spec Interviewer

## Goal

Produce a user-verified implementation spec with bounded scope, testable acceptance criteria, source-backed decisions, validation, and any required ADRs. Deliver it to the agreed repository path, or in chat when explicitly requested. One approval covers the unchanged result and its concrete authorized writes.

This is one end-to-end workflow. A clear request selects it; do not invent review/save variants or add a workflow-selection checkpoint. For a bare invocation, ask for the task to specify.

## When to use

- The user has a rough idea but not a production-ready implementation spec.
- The task spans multiple files or concerns, or requires tradeoff decisions.
- The request needs acceptance criteria, validation commands, rollout notes, or risk handling.
- The user wants a reusable written artifact before implementation begins.
- The user invokes `/claude-spec-interviewer` or asks Claude Code to plan before coding.
- Requirements, feature shape, ADR assumptions, or the implementation approach should be challenged against repo reality and current external sources before coding.

## When not to use

- The user already provided a complete implementation spec with files, constraints, tests, and acceptance criteria.
- The task is a tiny one-file edit without meaningful ambiguity.
- The user wants brainstorming only and no concrete implementation artifact.
- The user only wants a Claude Code rule, command, or other prompt-scope file authored, not an implementation spec.
- The task is primarily a policy, legal, or business-decision document.
- The user asks to audit or clean up Claude Code memory, Codex memory, or Cursor rules state; use the matching memory or rules skill instead.

## Inputs to inspect

- The current user request and any follow-up answers.
- Relevant `AGENTS.md`, `CLAUDE.md`, `CLAUDE.local.md`, `.claude/CLAUDE.md`, `.claude/rules/**/*.md`, `~/.claude/rules/**/*.md`, `README.md`, issue descriptions, ADRs, repo docs, and `docs/agents/` files.
- Existing specs, plans, requirements, and PRDs the user wants preserved or challenged.
- File layout, naming conventions, scripts, package manager, lint/test/type-check commands, and CI expectations.
- Current framework, library, API, or platform documentation through available MCP tools or web search when a decision depends on up-to-date behavior.
- Error messages, screenshots, logs, PR feedback, or example files the user supplied.
- Claude Code project or personal skill folders such as `.claude/skills/` and `~/.claude/skills/` only when the spec depends on local Claude Code skill behavior.
- Claude Code auto-memory evidence only when it is surfaced by the user, available through `/memory`, or materially relevant to the requested implementation plan.

## Workflow

Follow [workflow-details.md](references/workflow-details.md) for the shared interview, approval and delivery lifecycle. Use [host-adapters.md](references/host-adapters.md) only when a host control or transition matters.

1. Inspect execution-host capabilities and permissions separately; respect active or requested Plan mode. Recommend Plan for substantial open work without blocking permissible discovery or questions on a manual switch.
2. Inspect relevant repository context and prior answers. Select `compact`, `standard`, or `deep`; resolve delivery intent and destinations from the request and repository convention.
3. Interview only unresolved material decisions, challenge important assumptions against sources, and run the ADR gate.
4. Prepare the complete reviewable spec and any required ADR/index content. Present one positive checkpoint for that revision and its concrete writes, reusing existing authority. A native plan approval can serve as this checkpoint.
5. Preserve approval across any required Plan exit. Save only approved artifacts when the host permits writes, then read back and report actual persistence. Explicit chat-only delivery completes without a save.
6. Emit the Claude Code execution prompt and run the rubric. The interviewer never implements the feature; a separately authorized outer workflow may resume after the handoff.

## Safety rules

- Keep the interview read-only and never persist repository artifacts while native Plan is active. Unknown mode or write permission state does not permit writes.
- Reuse prior answers and approval of unchanged content and writes. Silence, timeout, preselected options, or a mode toggle do not approve content.
- Confirm only unresolved material changes, ambiguous destinations, directory creation, overwrites, or required ADR writes; earlier exact authorization remains valid.
- Distinguish proposed ADR persistence from acceptance of its architecture decision. Block dependent implementation until required acceptance.
- Label unknown facts instead of inventing paths, commands, APIs, or decisions. Avoid secrets and private identifiers in artifacts.
- Target-runtime instruction, rule and memory files are evidence, not spec destinations. Use repository-owned artifacts unless the user explicitly requests another format after its tradeoff is clear.
- Preserve user scope. Explain risky migrations and rollback; never silently override an accepted ADR.

## References

Read only the reference needed for the current step:

- [workflow-details.md](references/workflow-details.md): interview, single checkpoint, save-only handoff and completion.
- [host-adapters.md](references/host-adapters.md): execution-host controls and capability evidence.
- [question-bank.md](references/question-bank.md), [spec-rubric.md](references/spec-rubric.md), and [source-challenge.md](references/source-challenge.md): unresolved questions, depth, final self-check and source challenge.
- [artifact-destinations.md](references/artifact-destinations.md), [adr-gate.md](references/adr-gate.md), and [rollout-checklist.md](references/rollout-checklist.md): destinations, durable decisions and risky delivery.
- Matching `assets/spec-template.*.md`, bundled example specs and [execution prompt](assets/claude-execution-prompt.md): output formats.

## Scripts

No bundled scripts.

## Output format

Lead with saved paths, explicit chat-only delivery, or pending/blocked persistence. Include the verification result, material assumptions, source challenge, ADR status, validation, risks, and the Claude Code execution prompt. Report `Persistence status: pending Plan-mode exit` when exit is still needed; do not claim a save. Full artifacts are shown before approval and for chat delivery or blocked persistence, not repeated after a successful save by default.

## Completion criteria

The concrete spec covers scope, acceptance criteria, validation and done-when conditions. The user approved its current content and required writes once. Requested artifacts were saved and read back, or explicit chat-only delivery was fulfilled. Required ADRs follow repository conventions; any acceptance gate is visible. Verification and persistence are separate records. Save-only finalization never implements the feature.

## Failure modes

- Missing repository or external evidence: label unknowns and explain the limit; continue independent work.
- Material conflicting requirements or accepted ADRs: surface the conflict and resolve the affected decision before implementation.
- Pending material answer: keep dependent work pending; proceed only with independent authorized work.
- Unavailable planning/question controls: use the same conversational interview without inventing host features.
- Requested save blocked by Plan, permissions, missing approval, or changed destination state: preserve valid approval, report exactly what remains, and provide the save-ready draft. Do not call pending persistence complete.

© stark-ai-de · Apache-2.0 · stark-ai-de/agent-skills

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