full-output-enforcement

Enforces complete code generation by banning placeholder patterns and truncation.

1|Updated Feb 22, 2026
One-click install
npx skills add https://github.com/TarunTeja44/portfolio --skill full-output-enforcement-tarunteja44
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: full-output-enforcement
Source: https://github.com/TarunTeja44/portfolio/tree/main/.agents/skills/output-skill
Command: npx skills add https://github.com/TarunTeja44/portfolio --skill full-output-enforcement-tarunteja44

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 results. This Skill overrides that default behavior so every requested file, function, or section is delivered in full. ## Core Features & Use Cases - Placeholder Ban: Hard-blocks patterns such as "// ...", "// TODO", "for brevity", and "the rest follows the same pattern" in both code and prose. - Scope Locking & Cross-Check: Counts expected deliverables before generating and verifies the count again before responding, so nothing is silently dropped. - Token-Limit Handling: Splits long outputs at clean breakpoints with a structured [PAUSED] marker and resumes exactly where it stopped 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?

Apply explicit output-enforcement instructions that ban placeholder patterns like "// rest of code" and require every requested deliverable to be generated in full. 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 [PAUSED — X of Y complete] marker. On "continue", resume exactly from the named next section with no recap or repetition.

What placeholder patterns should be banned in AI code generation?

Ban "// ...", "// TODO", "// implement here", "// similar to above", bare ellipses standing in for code, and prose like "for brevity" or "the rest follows the same pattern". These patterns indicate omitted content and produce broken deliverables.

Why does the AI skip files when generating multi-file projects?

Models optimize for brevity by default and compress or drop deliverables when output grows long. Scope locking, which counts expected deliverables upfront and re-verifies before responding, prevents silent omissions.

When should I not use full-output enforcement?

Avoid it for quick exploratory questions, short snippets, or brainstorming where brevity is appropriate. It is designed for tasks explicitly requiring exhaustive output, such as complete implementations or full document drafts.