Flow Next Interview
Deep AskUserQuestion interview that refines a Flow spec, task, or spec file before you build
Test report
- Verdict
- Works with setup
- Score
- Tested
- Jul 21, 2026
- Environment
- Claude Code 2.x (agent harness)
- Upstream re-checked
- Aug 10, 2026 · 2b8cdb6
⚠ The author changed this skill after we tested it. The verdict below describes the version we ran on Jul 21, 2026; it's queued for a re-test.
Located the canonical SKILL.md at plugins/flow-next/skills/flow-next-interview/ (also mirrored under codex/). Frontmatter parses with name+description; it is user-invocable:false. Spot-checked 4 referenced files via raw fetch — flowctl launcher, questions-shared.md, references/write-back.md, templates/spec.md — all HTTP 200; no security smells (no curl|sh, base64, or exfiltration). I could NOT run the skill end-to-end: it needs the bundled flowctl CLI, a scaffolded .flow/ project (/flow-next:setup), and an interactive human for the 40-question AskUserQuestion loop — none available here, so outputMeasured=false and verdict=setup. I did hand-apply its question contract to one bare spec: versus my baseline flat list, the skill re-classified "what store backs the counters?" as codebase-answerable (resolve by grep, don't ask), rewrote the HTTP-status question to lead with "429 + Retry-After / Confidence: [high]" and per-option consequences, tagged the limit-value question [your-call] instead of inventing a recommendation, and added skip-handling that parks dismissed questions under ## Open Questions rather than writing them as decisions. That is a real methodology improvement, but it is my manual application, not the skill executing.
Scored on four weighted criteria — install, triggering, output vs. baseline, docs. How scoring works
- Installs cleanly 5/5
- Triggers reliably 5/5
- Output vs. baseline 5/10
- Docs & honesty 4/5
What Flow Next Interview does
Part of the flow-next plugin: conducts a thorough (40+ question) requirements interview about a Flow spec ID, task ID, or spec file, then writes the refined details back into the spec via the bundled flowctl CLI. Triggers on /flow-next:interview or when a user wants to flesh out a spec, refine requirements, or clarify a feature before planning. Scope-aware (business/technical/both) and doc-aware; questions lead with a recommendation plus a confidence tier and treat skipped questions as unresolved rather than silent decisions.
How to install Flow Next Interview
git clone --depth 1 https://github.com/gmickel/flow-next.git /tmp/flow-next-interview-src
mkdir -p ~/.claude/skills
cp -R /tmp/flow-next-interview-src/plugins/flow-next/skills/flow-next-interview ~/.claude/skills/flow-next-interview
# WARNING: this standalone copy is NOT functional on its own. The skill is
# user-invocable:false and belongs to the flow-next plugin (v3.0.0). Its body
# calls a BUNDLED CLI resolved via ${CLAUDE_PLUGIN_ROOT}/scripts/flowctl and
# requires a scaffolded .flow/ project. To actually run it:
# 1. Install the plugin from its marketplace:
# /plugin marketplace add gmickel/flow-next then /plugin install flow-next
# 2. In your project run: /flow-next:setup (scaffolds .flow/ + bundles flowctl)
# 3. Invoke: /flow-next:interview fn-1-add-oauth (or a .md spec-file path)
# Requires: python3 (flowctl is a Python-backed bash launcher), jq, and an
# interactive human to answer the AskUserQuestion rounds.
Skills live in ~/.claude/skills/ (global) or .claude/skills/
(per-project). Restart Claude Code after installing.
Commands — how to trigger Flow Next Interview
-
/flow-next-interviewDeep AskUserQuestion interview that refines a Flow spec, task, or spec file before you build
It also activates on plain-language prompts like these:
-
Interview me to flesh out the oauth spec -
Refine requirements for fn-1-add-oauth before building -
Clarify this feature spec through Q&A
Frequently asked questions
- Is the Flow Next Interview skill free?
- Yes. The skill itself is free from gmickel/flow-next. SkillProof publishes the install command and an independent test verdict at no cost.
- Does Flow Next Interview work with Claude Code?
- We tested it with Claude Code 2.x (agent harness) on Jul 21, 2026. Verdict: Works with setup. Located the canonical SKILL.md at plugins/flow-next/skills/flow-next-interview/ (also mirrored under codex/). Frontmatter parses with name+description; it is user-invocable:false. Spot-checked 4 referenced files via raw fetch — flowctl launcher, questions-shared.md, references/write-back.md, templates/spec.md — all HTTP 200; no security smells (no curl|sh, base64, or exfiltration). I could NOT run the skill end-to-end: it needs the bundled flowctl CLI, a scaffolded .flow/ project (/flow-next:setup), and an interactive human for the 40-question AskUserQuestion loop — none available here, so outputMeasured=false and verdict=setup. I did hand-apply its question contract to one bare spec: versus my baseline flat list, the skill re-classified "what store backs the counters?" as codebase-answerable (resolve by grep, don't ask), rewrote the HTTP-status question to lead with "429 + Retry-After / Confidence: [high]" and per-option consequences, tagged the limit-value question [your-call] instead of inventing a recommendation, and added skip-handling that parks dismissed questions under ## Open Questions rather than writing them as decisions. That is a real methodology improvement, but it is my manual application, not the skill executing.
- What is the Flow Next Interview SkillProof Score?
- 7.6/10 — installs cleanly 5/5, triggers reliably 5/5, output vs. baseline 5/10, docs & honesty 4/5.
- How do I install Flow Next Interview?
- Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.
- Can I use Flow Next Interview with Cursor, Copilot, Gemini CLI, Codex or other AI tools?
- The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.