Stripping AI Clichés from LLM Outputs with Stop-Slop Skill Files

One of the biggest telltale signs of automated copy is the reliance on repetitive, overly polite, or corporate-sounding transition words. Phrases like "delve," "testament," "in today's digital landscape," and "it is important to note" make generated code comments and system documentation instantly recognizable as AI-generated. Stop Slop addresses this by offering a standardized markdown system prompt rule. You can import this markdown directly into your Cursor system settings, Claude Code configuration, or custom LLM system prompts to enforce high-quality, human-like editorial standards. Under the hood, the skill file leverages negative prompting and explicit vocabulary blacklists combined with few-shot examples of direct, active-voice writing. This forces the model to choose simpler, punchier verbs and nouns during token generation. If you're auto-generating release notes, user documentation, or commit messages directly inside your CI/CD pipelines, integrating this rule significantly improves the professional tone of your output. However, forcing strict negative vocabulary lists can occasionally increase token output generation latency or lead to awkward phrasing in highly technical contexts. Even with this caveat, integrating Stop Slop is a simple, high-reward upgrade for your daily writing workflows.