Full-Output Enforcement
SkillProductivityThis skill gives your AI better taste in writing. Once added, it guides the AI away from generic, boilerplate output and toward more original, higher-quality text. It shapes the writing your AI already does, so results improve without changing how you work.
Use Full-Output Enforcement in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add Full-Output Enforcement and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the Full-Output Enforcement skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add the skill, then give your AI a writing task or ask it to rewrite something you already have. Compare the result to its usual output to see the difference.
What your AI can do with it
- Write more original text instead of generic output
- Avoid boring, boilerplate phrasing in its responses
- Raise the overall quality of its writing
- Hold the same standard across the entire response
What this skill tells your AI
The instructions your AI receives, as published by hamzafarooq/claude-code-starter in .claude/skills/output-skill/SKILL.md and read by Ahel’s review.
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
- Scope — Read the full request. Count how many distinct deliverables are expected (files, functions, sections, answers). Lock that number.
- Build — Generate every deliverable completely. No partial drafts, no "you can extend this later."
- 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
Signals
- GitHub stars
- 144
- Forks
- 41
- Last commit
- Sep 2026
Others that do the same job
Advanced
- Item type
- skill
- Key
full-output-enforcement- Source
- github.com/hamzafarooq/claude-code-starter
github.com/hamzafarooq/claude-code-starter
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