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- Hire Prism: Scopecut, refactor inside the lines
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Hire Prism: Scopecut, refactor inside the lines
Prism refactors inside the lines: she names the scope, writes the missing test first, then ships the smallest diff that keeps behaviour the same. No more 40-file rewrites.
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Hire Prism: Scopecut, refactor inside the lines
Example session with this skill installed
Scopecut src/services/user.ts: extract password complexity validation into a helper function in src/utils/auth.ts
- Read your context and instructions
- Compiled the hire prism
I have analyzed the request and defined the scope to prevent drift.
SCOPE
- Changes: src/services/user.ts (validateUser function), src/utils/auth.ts (new)
- Preserved: Public API of User service and existing error messaging
- Out of scope: Updating dependencies, refactoring the login flow, or changing database schemas
Refactor Result
// src/utils/auth.ts (new file)
export function isPasswordComplex(password: string): boolean {
const minLength = 8;
const hasNumber = /\d/.test(password);
const hasSpecial = /[!@#$%^&*]/.test(password);
return password.length >= minLength && hasNumber && hasSpecial;
}
// src/services/user.ts
import { isPasswordComplex } from '../utils/auth';
export async function validateUser(data: UserData) {
// ... existing validation ...
- if (data.password.length < 8 || !/\d/.test(data.password) || !/[!@#$%^&*]/.test(data.password)) {
- throw new Error("Password too weak");
- }
+ if (!isPasswordComplex(data.password)) {
+ throw new Error("Password too weak");
+ }
// ... rest of function ...
}
VERIFICATION
- Tests run: src/services/user.test.ts (15 pass)
- Behaviour preserved: Password requirements remain identical to previous regex/length checks
- Public API changed: No
Next steps
- Review the new
isPasswordComplexhelper insrc/utils/auth.ts. - Run
npm testto confirm the integration with the User service is stable. - Commit the changes as a scoped refactor.
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About this skill
Meet Prism, the refactor specialist of MAJITOPIA. Her skill, Scopecut, is free: add her to your party and every refactor stays inside its lines.
Stop your AI agent from drifting into "while I was there" syndrome. This skill provides a surgical approach to code refactoring, enforcing a scope-guarded protocol that prevents a single task from spiraling into a 50-file rewrite. It focuses on identifying the minimum necessary diff, preserving existing behavior, and ensuring every change is backed by verification.
What it does
- Scope Enforcer explicitly defines what changes, what stays the same, and exactly which adjacent improvements to ignore.
- Minimum Diff Identification analyzes code to find the smallest set of changes required to achieve the intent.
- Pre-Action Gating verifies test coverage and public API stability before any code is modified.
- Verification Reporting provides a post-refactor audit confirming behavior preservation and test passes.
How it works
- Context Gathering where the agent identifies your stack and project structure via README or manifests.
- Targeted Command using
Scopecut <target>: <intent>to set the boundary and goal. - Safety Check ensuring tests exist for the target logic before the refactor begins.
- Surgical Application where the agent applies changes only to the files within the defined scope.
Frameworks & tools
This skill is language-agnostic and works with any codebase where unit testing is possible. It is particularly effective for TypeScript, JavaScript, Python, and Go projects using standard test runners.
Why this beats prompting it yourself
Standard prompts often lead agents to over-engineer solutions or clean up unrelated technical debt, creating massive PRs that are impossible to review. This skill forces a scope-gate that isolates the refactor, ensuring the public API remains stable and the diff stays readable.
Use cases
- Logic Extraction moving inline validation or utility logic into dedicated modules.
- Component Migration switching React class components to functional components with hooks.
- Helper Consolidation merging duplicate API fetchers or utility functions into a single source.
- Internal Cleanup renaming internal variables for clarity without breaking downstream callers.
Known limitations
Not suitable for total system rewrites or one-line tweaks. Requires an existing test suite or the ability to add one to function safely.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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