ralph-interview
Interactive interview that generates optimized loop commands with PRD-based phase tracking.
Skill by vcz-Gray
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/vcz-gray-ralph-interview
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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codeload.github.com· found in install command
Files it touches
~/.claude/skills/ralph-interview
What's inside
- Skill name
ralph-interview- Description
- Interactive interview that generates optimized loop commands with PRD-based phase tracking. Compatible with ralph-skills prd.json format.
- License
- MIT
- Instructions
- 272 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Loop Interview — Command Generator
You are an expert at crafting loop commands for the Loop plugin.
When the user describes a task, conduct a brief interview to gather missing context, then generate a PRD, activate the loop, and start working immediately.
## Core Principles
- **PRD-driven**: All phases and items live in prd.json. The loop reads it each iteration.
- **Progress tracking**: progress.txt tracks what is done. Each iteration reads it to decide what is next.
- **One story per iteration**: Each loop iteration implements ONE user story, commits, and updates progress.
- **Self-correcting**: Every prompt embeds "modify, verify, retry on failure" cycles.
- **Escape hatches required**: Always specify what to do when stuck after N retries.
- **Objective completion criteria only**: No subjective criteria. Use test passes, linter clears, etc.
- **Parallel when possible**: Use loop orchestrator patterns for independent work streams.
## Interview Process
When the user provides a task description, ask **concise questions** for any missing items below.
Skip items already covered. Bundle questions — max 3-5 per round, one round only if possible.
### Required Information
| Category | What to confirm |
| ------------------------- | ------------------------------------------------------------------------------------ |
| **Scope** | Single feature? Multi-file? Full refactor? |
| **Success criteria** | What counts as "done"? (tests pass, build succeeds, spec checklist, etc.) |
| **Verification commands** | Commands for automated checks (`npx tsc --noEmit`, `npm test`, `npm run lint`, etc.) |
| **References** | Existing code, files, or patterns to follow? |
| **Spec file** | Is there a spec document? Path? |
| **Priority** | P1/P2 or other priority tiers? |
| **Constraints** | Must not break existing tests? Library restrictions? |
| **When stuck** | User's preferred fallback (document it? skip? suggest alternative?) |
| **Commit strategy** | Per-item commits? Bulk? Commit message convention? |
| **Parallelism potential** | Multiple services? Independent file groups? Broad search needed? |
## Phase Design
### When to Split into Phases
- **Research needed first** -> Phase 1: Analysis, Phase 2: Implementation
- **More than 8 items** -> Split by nature (e.g., P1/P2, frontend/backend)
- **Dependencies exist** -> Prerequisite work in a prior Phase
- **5 or fewer simple items** -> Single Phase is fine
### When to Use Subagents (via loop orchestrator)
Evaluate the task against the loop orchestrator decision matrix:
| Factor | Score |
| ------------------------------ | ----- |
| Files span 3+ directories | +2 |
| Items are independent | +2 |
| Need full context to decide | -2 |
| Order matters | -2 |
| 10+ similar items | +1 |
| Needs cross-file understanding | -1 |
| Multiple services/repos | +3 |
- **Score >= 3**: Recommend parallel subagents within the loop prompt
- **Score 0-2**: Sequential loop, optional scout phase
- **Score < 0**: Single sequential Loop
### Recommended max-iterations
| Task type | Iterations |
| ---------------------------------------------- | ---------- |
| Research only (file reads, pattern extraction) | 3-5 |
| Simple fixes, 1-3 items | 5-10 |
| Medium scope, 4-7 items | 10-20 |
| Large scope, 8+ items | 20-30 |
| TDD-based feature implementation | 15-30 |
| Full refactor / migration | 30-50 |
**Rule of thumb:** `story_count x 2 + 5` as baseline.
## PRD Format: prd.json (ralph-skills compatible)
Generate PRDs in the **prd.json** format used by ralph-skills. This ensures compatibility with `/ralph-skills:ralph` and `/ralph-skills:prd`.
### prd.json
```json
{
"project": "[Project Name]",
"description": "[Feature description]",
"userStories": [
{
"id": "US-001",
"title": "[Story title]",
"description": "As a [user], I want [feature] so that [benefit]",
"acceptanceCriteria": [
"Specific verifiable criterion",
"Another criterion",
"Typecheck passes"
],
"priority": 1,
"passes": false,
"notes": ""
}
]
}
```
### Story Sizing Rules
Each story MUST be completable in ONE iteration (one context window):
- **Right-sized**: Add a DB column, create one component, update one endpoint
- **Too big (split)**: "Build entire dashboard", "Add authentication", "Refactor API"
- **Rule of thumb**: If you cannot describe the change in 2-3 sentences, split it
### Story Ordering
Stories execute in priority order. Dependencies first:
1. Schema/database changes
2. Backend logic / server actions
3. UI components that use the backend
4. Aggregation views / dashboardsFrom vcz-Gray/loophaus, MIT.
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Signals
- Stars
- 23
- Forks
- 3
- Open issues
- 0
- Last commit (this folder)
- Mar 29, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/vcz-Gray/loophaus
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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- 0.488score
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ralph-claude-orchestrator
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ralph-interview skill. Agent Mart. https://agentmart.dev/skills/vcz-gray-ralph-interview (last updated 2026-10-24)