GitHub - CamjamPNG/skills: An agent skill that stops AI models from drowning complex tasks in words · GitHub
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efficient-semantic-thinking
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.
Who it's for: anyone building or running agents that handle multi-step planning, comparing options, or juggling lots of constraints.
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.
Install
npx skills add CamjamPNG/skills
What the skill does
When active, the model:
Extracts the real goal, entities, hard requirements, preferences, conditions, and uncertainty from the task
Represents them compactly — e.g. PRICE, RAM>=16GB, BEST=B
Reasons over that compressed state instead of restating prose
Preserves specificity — never swaps a specific fact for a generic label
Expands back into natural language when it talks to you
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.
Example
A user asks to compare three laptops. The model internally works with:
=16GB, STORAGE>=512GB<br>PREF: PERFORMANCE > BATTERY<br>VALID: A, B REJECT: C (RAMREQ: PRICE=16GB, STORAGE>=512GB<br>PREF: PERFORMANCE > BATTERY<br>VALID: A, B REJECT: C (RAM
...then answers in plain English: "I'd pick B — it meets every requirement and has 32GB RAM and 1TB storage."
Repository structure
efficient-semantic-thinking/<br>└── SKILL.md
About<br>An agent skill that stops AI models from drowning complex tasks in words<br>Topics<br>agentagent-skillagent-skillsaiai-agentai-agentsai-skillskillskill-md<br>Resources<br>Readme<br>Activity<br>Stars<br>0 stars<br>Watchers<br>0 watching<br>Forks<br>0 forks<br>Report repository
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