Alternatives to full-output-enforcement
50 AI Skills apps to use instead, best rated first.
Top picks
- B
batch-grill-me
Getbatch-grill-me is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It interviews you relentlessly about a plan until you share an understanding. It maps decisions as a tree and asks every question it can answer now
- W
webapp-testing
GetNative Python Playwright scripts for testing local web applications with server lifecycle management. Includes with_server.py helper to automatically start and manage single or multiple servers before running automation scripts. Supports re
- C
content-research-writer
GetAssists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on
- O
openhue
Getopenhue is an agent skill from the OpenClaw project, listed on skills.sh. It lets an agent control Philips Hue lights and scenes through a Hue Bridge with the OpenHue CLI: turn lights on and off, dim rooms, set scenes such as movie mode, an
- I
implement
Getimplement is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It implements work from a spec or tickets: it fetches the ticket, works test-first at agreed seams, runs type checks and tests as it goes, reviews the re
- F
frontend-design
GetDistinctive, production-grade frontend interfaces that reject generic AI aesthetics through intentional design choices. Guides aesthetic direction selection (brutalist, maximalist, retro-futuristic, luxury, organic, etc.) before implementat
More AI Skills apps
About full-output-enforcement
full-output-enforcement
Overrides default LLM truncation behavior
full-output-enforcement is an agent skill in the OpenDesign project that overrides an AI model's default tendency to truncate its output. It treats every task as production-critical and says that a partial output is a broken output. It optimizes for completeness rather than brevity: if the user asks for a full file, the full file is delivered, and if the user asks for five components, five components are delivered. The skill lists banned output patterns that count as hard failures. In code, these include placeholder comments such as rest of code, implement here, TODO, and similar to above, and bare ellipses standing in for omitted code. In prose, they include offers to continue, phrases such as for brevity, the rest follows the same pattern, and I'll leave that as an exercise, whenever they replace real content. Structural shortcuts are banned as well: returning a skeleton when a full implementation was requested, showing the first and last sections while skipping the middle, replacing repeated logic with one example and a description, and describing what the code should do instead of writing it.
- Price
- Free
- Made by
- nexu-io
- Category
- AI Skills
- Website
- github.com/nexu-io/open-design/full-output-enforcement