full-output-enforcement

Enforce complete, unabridged outputs without placeholders or truncation.

Updated Jan 12, 2026
One-click install
npx skills add https://github.com/coldter/kuldeep.tech --skill full-output-enforcement-coldter
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: full-output-enforcement
Source: https://github.com/coldter/kuldeep.tech/tree/main/.agents/skills/full-output-enforcement
Command: npx skills add https://github.com/coldter/kuldeep.tech --skill full-output-enforcement-coldter

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill overrides truncated or partial outputs by enforcing complete, production-grade results. It treats any partial delivery as unacceptable and ensures full files, sections, and components are delivered when requested.

Core Features & Use Cases

  • Enforces complete code and content delivery without omissions.
  • Bans placeholder patterns and disallowed truncation phrases.
  • Handles token-limit splits cleanly and deterministically for long tasks.

Quick Start

Provide a full, unabridged version of the requested output without any truncation, even for large deliverables.

Frequently Asked Questions about full-output-enforcement

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

FAQPage Schema
How do I prevent LLM code generation from outputting partial or truncated files?

To prevent partial LLM code generation, enforce complete, unabridged output delivery by banning truncation phrases and placeholder patterns, ensuring full files and components are delivered without omissions.

What is deterministic token-limit splitting for long LLM outputs?

Deterministic token-limit splitting is a mechanism that handles long multi-part deliverables by cleanly segmenting outputs across token limits, ensuring complete and unabridged results for large code or documentation tasks.

How do I enforce a no-placeholder policy for generated documentation and code?

Enforce a no-placeholder policy by treating partial deliveries as unacceptable and applying output enforcement rules that ban placeholder patterns, ensuring production-grade results for all requested sections.

Can I use output enforcement for multi-part deliverables across diverse domains?

Yes, output enforcement applies to multi-part deliverables across diverse domains, handling code, documentation, and any multi-part content by enforcing complete results and deterministic token-limit splits.

Why does my prompt output truncate before finishing the full file?

Prompt output truncates due to token limits or disallowed truncation prompts; applying deterministic output enforcement prevents this by cleanly handling token-limit splits and banning truncation phrases.