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full-output-enforcement

Enforces complete code generation by banning placeholder patterns and truncation.

Updated Mar 4, 2026
Search Tags:#code generation#token limit#llm behavior#output enforcement#placeholder ban#complete output
One-click install
npx skills add https://github.com/gmolike/Claude-Template --skill full-output-enforcement-gmolike
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: full-output-enforcement
Source: https://github.com/gmolike/Claude-Template/tree/main/.agents/skills/full-output-enforcement
Command: npx skills add https://github.com/gmolike/Claude-Template --skill full-output-enforcement-gmolike

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? LLMs often truncate long outputs, insert placeholder comments like "// rest of code", or skip deliverables to save tokens, leaving users with incomplete and unusable code. This Skill overrides that default behavior so every requested file, function, or section is delivered in full. ## Core Features & Use Cases - Placeholder Ban: Hard-fails on patterns like "// ...", "// TODO", "for brevity", and skeleton-only outputs, forcing real runnable code. - Deliverable Cross-Check: Counts expected deliverables from the request and verifies all are present before responding. - Token-Limit Handling: Splits long outputs at clean breakpoints with a resumable "[PAUSED — X of Y complete]" marker instead of compressing content. - Use Case: When asking an AI to scaffold five React components or generate a full configuration file, this Skill ensures all five components arrive complete rather than two real ones and three stubs. ## Quick Start Ask the AI to generate the complete implementation of all requested files with no placeholders, abbreviations, or omitted sections.

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 instructions that ban placeholder patterns like "// rest of code" and require every requested deliverable to be generated in full. The Skill also cross-checks the deliverable count against the original request 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 "[PAUSED — X of Y complete]" marker. On "continue", resume exactly from that point without recap or repetition.

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

Banned patterns include "// ...", "// TODO", "// implement here", "// similar to above", and prose like "for brevity" or "the rest follows the same pattern". These indicate omitted content and are treated as hard failures.

Does output enforcement work for non-code content?▼

Yes, the same rules apply to prose and structured documents. Every requested section must be delivered completely, and structural shortcuts like showing only the first and last sections are prohibited.

When should I not use full-output enforcement?▼

Avoid it for quick exploratory questions or drafts where brevity is desired. The enforcement treats every task as production-critical, which produces longer responses than needed for casual queries.

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