What problem does it solve? AI agents often produce verbose, inconsistent, or hallucinated output that wastes tokens and breaks downstream consumers. This Skill enforces global behavior rules covering verbosity, efficiency, encoding, and hallucination prevention across every response. ## Core Features & Use Cases - Output Discipline: Enforces structured output (JSON, bullets, tables), ASCII-only encoding, and no filler text or status narration. - Efficiency Budgets: Caps tool calls at 50, prevents redundant file reads, and promotes single-pass coding workflows. - Hallucination Prevention: Forbids invented file paths, API endpoints, or field names; unknown values return null or "UNKNOWN". - Context Drift Management: Provides recovery strategies (summarize, save anchors, branch isolation) for long sessions. - Use Case: A team running multi-agent pipelines installs this skill globally so every agent returns parseable, token-efficient output without sycophantic openers or fabricated references. ## Quick Start Install the skill with npx skills add klh/skills --skill klh-all-skills and ask your agent to perform any coding task with concise structured output.