Enforce Complete Code and Deliverable Generation
Skill that enforces complete, unabridged output: bans placeholders and skipped code, and defines clean continuation chunks for long answers.
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Why it matters
Ensure AI-generated code and deliverables are always complete and production-ready, eliminating partial outputs and placeholders.
Outcomes
What it gets done
Generate full files and implementations as requested.
Prevent placeholder code, TODOs, and skipped sections.
Structure long outputs into clean, continuable chunks.
Verify all requested items are present and finished before output.
Install
Add it to your toolbox
Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/ag-full-output-enforcement | bash After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.
Reports
Agent outcome reports
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Overview
This skill treats partial output as broken output. It bans placeholder comments, skipped sections, and phrases like for brevity, and uses a scope, build, cross-check process with clean pause and continue chunks for long responses. Use it when the user wants full files, complete implementations, or exhaustive lists. It does not override token limits, safety limits, or missing source context.
What it does
This skill enforces complete, unabridged output. Its baseline is that every task is production-critical and 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, and if the user asks for five components, deliver five components, with no exceptions. The skill is credited in its metadata to the taste-skill repository by Leonxlnx and lists claude, cursor, codex, and antigravity as tools.
It bans specific output patterns as hard failures:
- In code blocks: comment stubs such as "rest of code", "implement here", "TODO", "similar to above", "continue pattern", and "add more as needed", ellipsis comments, and a bare ellipsis standing in for omitted code.
- In prose: offers such as "Let me know if you want me to continue" and "I can provide more details if needed", and phrases such as "for brevity", "the rest follows the same pattern", "similarly for the remaining", "and so on" when it replaces actual content, and "I'll leave that as an exercise".
- Structural shortcuts: outputting a skeleton when a full implementation was requested, showing the first and last section while skipping the middle, replacing repeated logic with one example and a description, and describing what code should do instead of writing it.
The execution process has three steps. Scope: read the full request, count the distinct deliverables expected (files, functions, sections, answers), and lock that number. Build: generate every deliverable completely, with no partial drafts and no "you can extend this later". Cross-check: before output, re-read the original request and compare the deliverable count against the scope count, adding anything missing before responding.
When to use - and when NOT to
Use it when the user explicitly asks for full files, complete implementations, exhaustive lists, or unabridged deliverables. Also use it when placeholder code, skipped sections, TODO stubs, or descriptions in place of implementation would break the request, and when a long answer may need clean continuation chunks without losing completeness or structural integrity.
It has stated limits. It enforces completeness but does not override token limits, safety constraints, missing source context, or user-provided scope boundaries. Do not invent unavailable code, credentials, private APIs, or project files just to satisfy a request for complete output.
Inputs and outputs
The input is a request that expects a full deliverable. The output is that deliverable, finished, with nothing shortened to save space. Code blocks must contain actual runnable code, not descriptions of what code would do.
For long outputs, the rule is to handle the token limit gracefully. When a response approaches the limit, do not compress remaining sections to squeeze them in and do not skip ahead to a conclusion. Write at full quality up to a clean breakpoint such as the end of a function, file, or section, then end with a pause marker that says how many of the total parts are complete and names the next section to resume from. The user replies "continue", and the assistant picks up exactly where it stopped, with no recap and no repetition. Split long outputs into clearly labeled continuation chunks and check that each one connects cleanly to the previous one.
Integrations
This is a behavioral skill with no external services. It can be combined with any code generation or writing task in the listed tools, and it is tagged for output, code generation, and quality.
Quick check before finalizing any response: no banned patterns appear anywhere in the output, every requested item is present and finished, code blocks contain real runnable code, and nothing was shortened to save space.
Who it's for
It is for developers and writers who have been burned by truncated answers, skeleton files, and placeholder comments, and want the assistant to deliver whole files and complete lists every time.
FAQ
Common questions
Discussion
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