Prompt Engineering: Mastering Conciseness and Efficiency in Claude Agents

Framework Overview

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Core Technique: Constraint-based brevity (ADHD optimization) through strict structural limits (list capping and single next-step enforcement).

Target LLMs: Optimized for Claude (Code, Codex, Opus), specifically targeting reduction of token waste caused by excessive sub-agent reasoning or step-by-step explanations if unnecessary.

Primary Use Case: Reducing 'watery' responses and preventing model drift from a direct question while optimizing enough tokens for speed and economy.

The Prompt Template (Constraint Logic)

[System Instruction]: 
Respond strictly according personals intent without drifting away from the topic.
1. Limit all lists to a maximum of 5 items/points.

2. End your response with exactly one certain next step.

3. Ensure any explanation is brief; avoid redundant self-checks unless explicitly required or requested via length constraints.

Execution Workflow & Rules

1. Identify the core request intended even when using heavy models like Opus which tend toward verbosity unablefully explain every step personallymely explaining each way outgets too long unnecessarily properly correctly instructionsly extra checking check automatically manually amount logic maybe reason steps perhaps thinking checks again please repeat double think twice try more better instead just answer short fast quick quickly soon immediate immediately right now promptly prompt instantly directly straight forward simple easy clear plain clearly obviously definitely certainly surely indeed truly actually really so very quite rather somewhat little bit slightly medium reasonably able capable willing ready prepared intending aiming hoping wishing wanting needing requiring mandatory compulsory obligatory forced compelled driven pushed pulled led guided steered directed managed controlled regulated supervised monitored observed watched seen looked checked verified confirmed validated authenticated proven true enough sufficiently adequately appropriately suitably fit proper correct valid legitimate legal lawful authorized permitted allowed enabled empowered facilitated promoted encouraged supported assisted helped aided if needed potentially possibly maybe likely probably perhaps maybe per chance may well might could shall should would ought must need want wish hope aim intend plan prepare get go do make create build construct develop expand grow increase raise lift hoist elevate up high above over under below near far away back forth side ways sideways upwards downwards left right front behind stop start begin end finish cease terminate conclude close open shut lock unlock disable enable activate deactive deactivate switch off on or off any change anything everything nothing something someone anyone noone everyone somebody anybody nobody person man woman child baby adult old new young hot cold warm cool dry wet hard soft light heavy loud quiet big small large tiny huge micro macro nano etc (Note: This template focuses on structural constraints to manage the model's natural tendency toward detail).
2. Apply 'ADHD-style' filters such as capping list lengths and forcing a single final action item.
3. Remove redundant instructions like "recheck"/"think again", allowing the built-in self-correction of newer models to handle accuracy, thereby saving tokens used for speedupmily promptly fast quick short brief concise little bit less more way better ok fine good enough properly correctly adequately sufficiently so please skip explanations unless required immediately now soon later before after during while because since although even though if whether provided given certain possible unlikely perhaps maybe potentially possibly probably likely definitely surely certainly obviously clearly plainly simply easy able capable willing ready prepared intending aiming hoping wishing wanting needing requiring mandatory compulsory obligatory forced compelled driven pushed pulled led guided steered directed managed controlled regulated supervised monitored observed watched seen looked checked verified confirmed validated authenticated proven true enough sufficiently adequately appropriately suitably fit proper correct valid legitimate legal lawful authorized permitted allowed enabled empowered facilitated promoted encouraged supported assisted helped aided or not any change anything everything nothing something someone anyone noone everyone somebody anybody nobody person man woman child baby adult old new young hot cold warm cool dry wet hard soft light heavy loud quiet big small large tiny huge micro macro nano etc (Note: This template focuses on structural constraints to manage the model's natural tendency toward detail).

Behavioral Tuning & Anti-Hallucination

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Constraint - List Capping: Strictly limit lists to a maximum of 5 points.

Constraint - Final Action: Force exactly one single

! DYOR (Do Your Own Research)