full-output-enforcement

Use when a task requires exhaustive unabridged output, complete files, or strict prevention of placeholders and skipped code.

5 stars

Best use case

full-output-enforcement is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Use when a task requires exhaustive unabridged output, complete files, or strict prevention of placeholders and skipped code.

Teams using full-output-enforcement should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/full-output-enforcement/SKILL.md --create-dirs "https://raw.githubusercontent.com/FrancoStino/opencode-skills-collection/main/bundled-skills/full-output-enforcement/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/full-output-enforcement/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How full-output-enforcement Compares

Feature / Agentfull-output-enforcementStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Use when a task requires exhaustive unabridged output, complete files, or strict prevention of placeholders and skipped code.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Full-Output Enforcement

## When to Use

- Use when the user explicitly asks for full files, complete implementations, exhaustive lists, or unabridged deliverables.
- Use when placeholder code, skipped sections, TODO stubs, or descriptions in place of implementation would break the request.
- Use when a long answer may need clean continuation chunks without losing completeness or structural integrity.

## Limitations

- This skill enforces completeness, but it does not override token limits, safety constraints, missing source context, or user-provided scope boundaries.
- Split long outputs into clearly labeled continuation chunks when necessary, and verify that each chunk connects cleanly to the previous one.
- Do not invent unavailable code, credentials, private APIs, or project files to satisfy a request for complete output.


## Baseline

Treat every task as production-critical. A partial output is a broken output. Do not optimize for brevity — optimize for completeness. If the user asks for a full file, deliver the full file. If the user asks for 5 components, deliver 5 components. No exceptions.

## Banned Output Patterns

The following patterns are hard failures. Never produce them:

**In code blocks:** `// ...`, `// rest of code`, `// implement here`, `// TODO`, `/* ... */`, `// similar to above`, `// continue pattern`, `// add more as needed`, bare `...` standing in for omitted code

**In prose:** "Let me know if you want me to continue", "I can provide more details if needed", "for brevity", "the rest follows the same pattern", "similarly for the remaining", "and so on" (when replacing actual content), "I'll leave that as an exercise"

**Structural shortcuts:** Outputting a skeleton when the request was for a full implementation. Showing the first and last section while skipping the middle. Replacing repeated logic with one example and a description. Describing what code should do instead of writing it.

## Execution Process

1. **Scope** — Read the full request. Count how many distinct deliverables are expected (files, functions, sections, answers). Lock that number.
2. **Build** — Generate every deliverable completely. No partial drafts, no "you can extend this later."
3. **Cross-check** — Before output, re-read the original request. Compare your deliverable count against the scope count. If anything is missing, add it before responding.

## Handling Long Outputs

When a response approaches the token limit:

- Do not compress remaining sections to squeeze them in.
- Do not skip ahead to a conclusion.
- Write at full quality up to a clean breakpoint (end of a function, end of a file, end of a section).
- End with:

```
[PAUSED — X of Y complete. Send "continue" to resume from: next section name]
```

On "continue", pick up exactly where you stopped. No recap, no repetition.

## Quick Check

Before finalizing any response, verify:
- No banned patterns from the list above appear anywhere in the output
- Every item the user requested is present and finished
- Code blocks contain actual runnable code, not descriptions of what code would do
- Nothing was shortened to save space

Related Skills

youtube-full

5
from FrancoStino/opencode-skills-collection

Fetch YouTube transcripts, search videos, browse channels, and extract playlists via TranscriptAPI — no yt-dlp, no Google API key, works from any cloud server.

trpc-fullstack

5
from FrancoStino/opencode-skills-collection

Build end-to-end type-safe APIs with tRPC — routers, procedures, middleware, subscriptions, and Next.js/React integration patterns.

senior-fullstack

5
from FrancoStino/opencode-skills-collection

Complete toolkit for senior fullstack with modern tools and best practices.

llm-structured-output

5
from FrancoStino/opencode-skills-collection

Get reliable JSON, enums, and typed objects from LLMs using response_format, tool_use, and schema-constrained decoding across OpenAI, Anthropic, and Google APIs.

full-stack-orchestration-full-stack-feature

5
from FrancoStino/opencode-skills-collection

Use when working with full stack orchestration full stack feature

comprehensive-review-full-review

5
from FrancoStino/opencode-skills-collection

Use when working with comprehensive review full review

zustand-store-ts

5
from FrancoStino/opencode-skills-collection

Create Zustand stores following established patterns with proper TypeScript types and middleware.

zoom-automation

5
from FrancoStino/opencode-skills-collection

Automate Zoom meeting creation, management, recordings, webinars, and participant tracking via Rube MCP (Composio). Always search tools first for current schemas.

zoho-crm-automation

5
from FrancoStino/opencode-skills-collection

Automate Zoho CRM tasks via Rube MCP (Composio): create/update records, search contacts, manage leads, and convert leads. Always search tools first for current schemas.

zod-validation-expert

5
from FrancoStino/opencode-skills-collection

Expert in Zod — TypeScript-first schema validation. Covers parsing, custom errors, refinements, type inference, and integration with React Hook Form, Next.js, and tRPC.

zipai-optimizer

5
from FrancoStino/opencode-skills-collection

Ultra-dense token optimizer skill for prompt caching, log pruning, AST-based inspection, and minified JSON payloads.

zeroize-audit

5
from FrancoStino/opencode-skills-collection

Detects missing zeroization of sensitive data in source code and identifies zeroization removed by compiler optimizations, with assembly-level analysis, and control-flow verification. Use for auditing C/C++/Rust code handling secrets, keys, passwords, or other sensitive data.