{"slug": "why-your-llm-ignores-what-you-asked-for", "title": "Why your LLM ignores what you asked for", "summary": "A new open-source agent skill, 'efficient-semantic-thinking' from CamjamPNG, helps AI models compress complex tasks into compact semantic representations instead of verbose prose, reducing token usage and drift while preserving specificity. The skill, installable via 'npx skills add CamjamPNG/skills', extracts goals, requirements, and preferences into a structured form (e.g., 'PRICE<=500', 'RAM>=16GB') and expands back to natural language when responding. It is designed for developers building agents that handle multi-step planning, comparisons, or constraint-heavy tasks.", "body_md": "An agent skill that stops AI models from drowning complex tasks in words — it thinks in compact meaning, not prose, and only talks normally when it needs to.\n\n**Who it's for:** anyone building or running agents that handle multi-step planning, comparing options, or juggling lots of constraints.\n\n**Why it exists:** natural language is verbose. When an agent restates requirements as prose over and over, it burns tokens, repeats itself, and drifts. This skill gives the model a compressed \"mental workspace\" — the same information, less overhead.\n\n```\nnpx skills add CamjamPNG/skills\n```\n\nWhen active, the model:\n\n- Extracts the real goal, entities, hard requirements, preferences, conditions, and uncertainty from the task\n- Represents them compactly — e.g.\n`PRICE<=500`\n\n,`RAM>=16GB`\n\n,`BEST=B`\n\n- Reasons over that compressed state instead of restating prose\n- Preserves specificity — never swaps a specific fact for a generic label\n- Expands back into natural language when it talks to you\n\n**The point is not fewer words.** The point is more meaning per word — a representation that stays compact, precise, and reversible, and that never loses information to sound shorter.\n\nA user asks to compare three laptops. The model internally works with:\n\n```\nREQ:  PRICE<=700USD, OS=WINDOWS, RAM>=16GB, STORAGE>=512GB\nPREF: PERFORMANCE > BATTERY\nVALID: A, B      REJECT: C (RAM<16)\nBEST: B\n```\n\n...then answers in plain English: *\"I'd pick B — it meets every requirement and has 32GB RAM and 1TB storage.\"*\n\n```\nefficient-semantic-thinking/\n└── SKILL.md\n```\n\n", "url": "https://wpnews.pro/news/why-your-llm-ignores-what-you-asked-for", "canonical_source": "https://github.com/CamjamPNG/skills", "published_at": "2026-08-13 01:46:20+00:00", "updated_at": "2026-08-13 02:11:03.041547+00:00", "lang": "en", "topics": ["artificial-intelligence", "ai-agents", "ai-tools", "developer-tools"], "entities": ["CamjamPNG", "efficient-semantic-thinking"], "alternates": {"html": "https://wpnews.pro/news/why-your-llm-ignores-what-you-asked-for", "markdown": "https://wpnews.pro/news/why-your-llm-ignores-what-you-asked-for.md", "text": "https://wpnews.pro/news/why-your-llm-ignores-what-you-asked-for.txt", "jsonld": "https://wpnews.pro/news/why-your-llm-ignores-what-you-asked-for.jsonld"}}