laconic

Enforce concise, plain-spoken communication across prose and code workflows.

7|Updated May 28, 2026
One-click install
npx skills add https://github.com/zcaceres/skills --skill laconic-zcaceres
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: laconic
Source: https://github.com/zcaceres/skills/tree/main/skills/laconic
Command: npx skills add https://github.com/zcaceres/skills --skill laconic-zcaceres

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires jq, and includes scripts (resource) and assets (resource) components.

What problem does it solve?

This Skill solves the issue of AI verbosity and mid-session drift by enforcing a persistent, plain-spoken register that prioritizes essential information over filler and hedging.

Core Features & Use Cases

  • Configurable Voice Modes: Choose between prose-only, prose+code, or code-first (laconic-code) modes to match your current task.
  • Persistent Context: Uses hooks to inject voice rules at session start and periodically during the conversation to ensure the AI remains concise.
  • Use Case: When debugging complex code, use the laconic-code mode to force the AI to lead with a diff or snippet rather than lengthy explanations, keeping your context window clean and focused.

Quick Start

Enable the laconic voice for your current project by running the command to turn it on.

Frequently Asked Questions about laconic

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I stop AI agents from being verbose and adding filler during long coding sessions?

You can stop AI verbosity by injecting persistent plain-spoken voice rules into the session context via hooks. This enforces a concise communication register that eliminates filler and hedging throughout the workflow.

Can I force an AI agent to lead with code snippets instead of lengthy explanations?

Yes, you can force the AI to lead with code snippets by enabling a code-first mode. This configures the agent to prioritize diffs or snippets over lengthy prose explanations, keeping the context window clean and focused.

Do I need jq installed to manage AI agent voice modes and hooks?

Yes, jq is required for hook management and state persistence within the local configuration directory. It handles the underlying state needed to inject and maintain voice rules at session start and periodically during conversations.

How do hooks keep an AI agent concise throughout a long conversation?

Hooks keep an AI agent concise by injecting voice rules at session start and periodically during the conversation. This persistent context injection prevents mid-session drift, ensuring the AI maintains a plain-spoken register.

What is the best way to prevent mid-session drift when using AI for code debugging?

The best way to prevent mid-session drift is to enforce a persistent, plain-spoken register that prioritizes essential information. Configuring a code-first mode specifically forces the AI to lead with diffs, keeping the context focused.

Does this conciseness tool work for both prose and code-centric workflows?

Yes, it supports configurable voice modes including prose-only, prose and code, or code-first workflows. This allows you to match the AI's communication register to your current task, whether it is writing or debugging.