full-output-enforcement

Enforces complete, unabridged LLM output by banning placeholder patterns and truncation.

Updated Aug 25, 2026
One-click install
npx skills add https://github.com/KlyrhonMiko/kly-skills --skill full-output-enforcement-klyrhonmiko
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: full-output-enforcement
Source: https://github.com/KlyrhonMiko/kly-skills/tree/main/data/skills/output-skill
Command: npx skills add https://github.com/KlyrhonMiko/kly-skills --skill full-output-enforcement-klyrhonmiko

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? LLMs often truncate long responses, insert placeholder comments like "// rest of code", or ask "want me to continue?" instead of delivering complete work. 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 "the rest follows the same pattern" in both code and prose. - Scope Locking: Counts distinct deliverables in the request up front and cross-checks the output against that count before responding. - Token-Limit Handling: Splits long outputs at clean breakpoints with a structured [PAUSED — X of Y complete] marker and resumes exactly on "continue". - Use Case: Ask for a full multi-file project scaffold or five complete React components, and receive every file and component fully implemented with no skeletons or omitted sections. ## 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 LLM from truncating code output?▼

Use explicit output-enforcement instructions that ban placeholder patterns like "// rest of code" and require every requested deliverable to be generated fully. This Skill locks the deliverable count before generating and cross-checks it before responding.

How to handle token limits when generating long code files?▼

Write at full quality up to a clean breakpoint such as the end of a function or file, then emit a structured pause marker like "[PAUSED — X of Y complete]". On "continue", resume exactly from the named next section without recap or repetition.

What placeholder patterns should be banned in AI code generation?▼

Ban patterns like "// ...", "// TODO", "// implement here", "// similar to above", and prose phrases like "for brevity" or "the rest follows the same pattern". These indicate omitted content and produce non-runnable skeletons instead of complete implementations.

Does output enforcement work for non-code writing tasks?▼

Yes, the same rules apply to prose deliverables such as documentation, reports, and multi-section articles. The Skill counts requested sections, generates each fully, and forbids summarizing or skipping middle content to save space.

When should I not use full-output enforcement?▼

Avoid it for quick exploratory questions, brainstorming, or when you explicitly want a brief summary or skeleton. Enforcing exhaustive output on simple queries wastes tokens and slows down iterative discussion.