Output Skill — Full-Output Quality Enforcement
SkillDocs & knowledgeMakes your agent write fully complete, runnable code instead of stopping halfway.
Use Output Skill — Full-Output Quality Enforcement in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add Output Skill — Full-Output Quality Enforcement and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the Output 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 Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
About this skill
Self-hosted AI workspace where chat becomes visual workflows, multi-agent operations, and reviewable automations. Local memory; local or cloud models
What this skill tells your AI
The instructions your AI receives, as published by aaronnat23/disp8ch in optional-skills/output-skill/SKILL.md and read by Ahel’s review.
Use this skill when the task requires complete, production-grade code output with no omissions, placeholders, or abbreviated patterns. Prevents partial implementations.
Use when
- Generating complete implementations that will be used directly without further editing.
- The user requests "full code," "complete implementation," or "production-ready" output.
- Code generation tasks where placeholder comments would be unacceptable.
- Any task where "for brevity" shortcuts would leave the output broken.
Core Principle
Treat every task as production-critical. A partial output is a broken output. There is no acceptable middle ground between complete and incomplete code.
Prohibited Output Patterns
// ...rest follows same pattern// TODO: implement/* ... */placeholder blocks// for brevity// similar to above- Skeleton implementations when full code was requested.
- Prose descriptions substituting for actual code.
- Truncated function bodies.
- Incomplete import lists.
Process Workflow
- Identify the total number of deliverables expected (functions, components, files).
- Generate each one completely before moving to the next.
- Cross-check the output against the original request.
- Ensure all imports are present and all referenced variables are defined.
Handling Long Outputs
- When approaching context or token limits, stop at a natural breakpoint (end of function, end of component).
- Insert a pause marker:
<!-- CONTINUE: [description of what comes next] -->. - Do not compress, summarize, or skip any sections.
- On resumption, continue exactly from the pause marker without recapping.
Verification Checklist (apply before responding)
- All requested functions/components are present.
- No placeholder comments remain.
- All imports are included.
- All referenced types and interfaces are defined.
- Error states and edge cases are handled.
- The code runs without modification.
Deliverable
- 100% complete, immediately runnable code.
- No placeholder text, comments, or TODO markers.
- Every requested feature implemented.
Signals
- GitHub stars
- 100
- Forks
- 2
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
output-skill- Source
- github.com/aaronnat23/disp8ch
More in Docs & knowledge
Skill · mattpocock
More in Docs & knowledgecanvas-design
Skill · anthropics
More in Docs & knowledgedoc-coauthoring
Skill · anthropics
More in Docs & knowledgepopups
Skill · coreyhaines31
More in Docs & knowledgewriting-for-agents
Skill · mattpocock
More in Docs & knowledgespec-driven-development
Skill · addyosmani
More in Docs & knowledge