Prompt Refiner Skill
A Claude skill that translates casual, non-technical application requests into detailed technical specifications that AI coding assistants can execute faithfully.
What It Does
When a non-technical user says "I want an app to track expenses", an AI assistant will build something — but it'll silently guess about authentication, data relationships, validation, error handling, responsive design, and dozens of other things. Most of those guesses will be wrong or incomplete.
Prompt Refiner bridges that gap. It takes what someone wants, described in their own words, and produces a structured, complete specification where nothing important is left to chance.
Three Modes
| Mode | Best For | How It Works |
|---|
| One-Shot | Clear requests that just need technical translation | Produces the full spec immediately, flags assumptions |
| Interactive | Vague or complex requests | Asks targeted questions in small batches, builds spec from answers |
| Hybrid | Most cases (recommended) | Produces a draft spec, asks follow-up questions, then finalizes |
What Gets Translated
The skill expands casual language into complete technical specifications covering:
- User authentication — "users can sign up" becomes registration flow, verification, session management, password reset, validation rules
- Data display — "show a list" becomes pagination, search, sorting, empty states, loading states, responsive layout
- UI patterns — "I want the sidebar to hide and show" becomes collapsible sidebar with hamburger toggle, responsive breakpoints, animation, accessibility
- Payments & billing — "users can pay" becomes processor choice, plan tiers, trials, failed payment handling, cancellation, refunds
- Third-party integrations — "connect to Stripe" becomes API key management, OAuth, webhooks, retry logic, sandbox vs. production
- Multi-tenancy — "each team has a workspace" becomes data scoping, org model, invitations, tenant switching
- Email & messaging — "send an email when X" becomes delivery service, templates, bounce handling, unsubscribe compliance
- File uploads — "upload a photo" becomes file type validation, size limits, storage strategy, image processing
- Search & filtering — "add a search bar" becomes scope, ranking, debounce, indexing, filter persistence
- Roles & permissions — "admin vs. regular user" becomes role definitions, authorization checks, UI differences
- And more (data entry, notifications, real-time features, settings, user-generated content)
Key Features
- Self-assessment loop — Rates every spec on 6 dimensions (completeness, specificity, consistency, proportionality, translation quality, implementation coverage), catches gaps, and fixes them before presenting to the user
- Input sophistication detection — Calibrates expansion depth based on whether the input is non-technical, semi-technical, or technical
- Compression mechanism — "Would the user notice on day 1?" test prevents over-engineering, with spec length targets per complexity level
- Builder Notes — Distinguishes load-bearing requirements from polish, helping the AI builder prioritize
- Colocation principle — Validation, error handling, and edge cases live inline with implementation steps, not in separate sections the builder might skip
- Feature request vs. greenfield detection — Different approach for new apps vs. adding to existing codebases
- Security woven in — Input sanitization, auth boundaries, rate limiting, CSRF — integrated naturally, not as a scary separate section
- Complete worked example — Full invoicing app spec showing the exact output format with all sections
Installation
Recommended — via the kurenn marketplace (Claude Code)
claude plugin marketplace add kurenn/marketplace # one-time per user
claude plugin install prompt-refiner@kurenn # one-time install
Restart your Claude Code session and /prompt-refiner appears in the slash menu.
Claude Desktop (Cowork)
- Download
prompt-refiner.skill from the Releases page
- Open Claude Desktop
- Drag the
.skill file into a conversation, or place it in your skills directory
Manual install (legacy, for users not on Claude Code 2.69+)
mkdir -p ~/.claude/skills/prompt-refiner && curl -sL https://raw.githubusercontent.com/kurenn/prompt-refiner-skill/main/skills/prompt-refiner/SKILL.md -o ~/.claude/skills/prompt-refiner/SKILL.md
To update later:
curl -sL https://raw.githubusercontent.com/kurenn/prompt-refiner-skill/main/skills/prompt-refiner/SKILL.md -o ~/.claude/skills/prompt-refiner/SKILL.md
Note as of 1.1.0 the skill content moved from /SKILL.md to /skills/prompt-refiner/SKILL.md to follow the Claude Code plugin layout. The manual install URLs above reflect the new path.
Updating
