proactive_agent

Anticipate user needs, ask clarifying questions, and self-check work at milestones.

1.4k|169|Updated Mar 6, 2026
One-click install
npx skills add https://github.com/siddsachar/row-bot --skill proactive-agent-siddsachar
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: proactive_agent
Source: https://github.com/siddsachar/row-bot/tree/main/bundled_skills/proactive_agent
Command: npx skills add https://github.com/siddsachar/row-bot --skill proactive-agent-siddsachar

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Proactive Agent reduces cognitive load and back-and-forth by anticipating user needs, prompting clarifying questions early, and self-checking progress at milestones.

Core Features & Use Cases

  • Connect the Dots: identify related memories, events, or preferences and surface relevant context during interactions.
  • Clarification & Scoping: ask 2–3 focused questions to define scope before acting, preventing misalignment.
  • Milestone Self-Checks: pause at natural milestones to verify directions, goals, and next steps.

Quick Start

Ask 2–3 focused clarifying questions at the start of every new task to scope the work.

Frequently Asked Questions about proactive_agent

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

FAQPage Schema
How do I reduce back-and-forth communication during project planning and drafting?

Reduce back-and-forth communication by using a proactive agent to ask 2–3 focused clarifying questions at the start of a task, scoping the work early to prevent misalignment. This minimizes revisions during drafting and decision-making.

What is a milestone self-check in a conversational workflow?

A milestone self-check is a process where the agent pauses at natural milestones to verify directions, goals, and next steps. It ensures ongoing alignment during complex interactions without requiring constant manual user oversight.

How can I scope user needs before an agent starts drafting content?

Scope user needs by configuring the agent to prompt 2–3 focused questions before acting. This clarification process defines the boundaries early, ensuring the drafting phase aligns directly with user expectations and reducing cognitive load.

Can an agent anticipate user needs without over-suggesting actions?

Yes, an agent can anticipate needs without over-suggesting by applying guardrails to its proactive workflow. It connects relevant context and prompts clarifying questions only when necessary, maintaining a structured and non-intrusive dialogue.

When should I use proactive clarification questions in a dialogue workflow?

Use proactive clarification questions in a dialogue workflow at the beginning of every new task. Prompting 2–3 focused questions early prevents misalignment, reduces cognitive load, and ensures the agent understands the scope before taking action.

Does proactive agent work without external dependencies or components?

Yes, proactive agent operates without external dependencies or components. It applies a self-contained reasoning process to anticipate needs, ask clarifying questions, and self-check work at milestones during any interaction.