full-output-enforcement

Enforces complete code generation by banning placeholder patterns and truncation.

Updated May 2, 2026
One-click install
npx skills add https://github.com/FadhilAlif/jejak_karier --skill full-output-enforcement-fadhilalif
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: full-output-enforcement
Source: https://github.com/FadhilAlif/jejak_karier/tree/main/.agents/skills/full-output-enforcement
Command: npx skills add https://github.com/FadhilAlif/jejak_karier --skill full-output-enforcement-fadhilalif

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? LLMs often truncate long outputs, insert placeholder comments like "// rest of code", or ask "want me to continue?" instead of delivering complete results. This Skill overrides that default behavior so every requested deliverable is generated in full. ## Core Features & Use Cases - Placeholder Ban: Hard-fails on patterns like // ..., // TODO, "for brevity", and skeleton-only outputs, forcing real runnable code. - Scope Locking: Counts expected deliverables before generating and cross-checks the count before responding, so nothing is silently dropped. - Clean Token-Limit Handling: When output approaches the token limit, it pauses at a clean breakpoint with a resumable marker instead of compressing or skipping content. - Use Case: Ask for five React components or a full configuration file, and receive all five components or the entire file with no omissions, even across multiple continuation messages. ## Quick Start Apply the full-output-enforcement skill and generate the complete implementation of all requested files with no placeholders or omissions.

Frequently Asked Questions about full-output-enforcement

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I stop an AI from truncating code output?

Apply explicit output-enforcement rules that ban placeholder patterns like "// rest of code" and "for brevity". This Skill locks the expected deliverable count before generation and cross-checks it before responding, so nothing is silently omitted.

How to get complete code instead of skeleton implementations?

Instruct the model to treat partial output as failure and forbid structural shortcuts like first-and-last-section patterns. This Skill enforces full implementations with runnable code rather than descriptions of what the code would do.

What happens when generated output hits the token limit?

The output stops at a clean breakpoint such as the end of a function or file, then emits a "[PAUSED — X of Y complete]" marker. Sending "continue" resumes exactly from that point with no recap or repetition.

Which placeholder patterns are banned in code generation?

Banned patterns include "// ...", "// TODO", "// implement here", "// similar to above", bare ellipses, and prose like "the rest follows the same pattern" or "let me know if you want me to continue". Any of these counts as a hard failure.

When should I not use full-output enforcement?

Avoid it for quick exploratory questions, brainstorming, or when a short summary is genuinely what you want. The enforcement optimizes for completeness over brevity, which adds unnecessary length to simple conversational answers.