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Skill

/planner_skill

Decomposes a research question into a structured investigation plan with sub-questions, search angles, and output format requirements.

@simranjeet97simranjeet97@simranjeet97
From plugin
awsome-ai-agents
2084 skills
Install
$ npx -y skills add simranjeet97/Awsome_AI_Agents --skill planner_skill --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/planner_skill

Context preview

The summary Claude sees to decide when to auto-load this skill.

Decomposes a research question into a structured investigation plan with sub-questions, search angles, and output format requirements.

SKILL.md

planner_skill.SKILL.md
name: research-planner
description: >
  Decomposes a research question into a structured investigation plan with
  sub-questions, search angles, and output format requirements.

Instructions

When given a research question:

1. Identify the 3-5 core sub-questions that must be answered 2. For each sub-question, suggest a search angle and expected source type 3. Define the output format: [Executive Summary, Key Findings, Sources] 4. Write the plan to session state under key "research_plan"

Keep the plan concise — one paragraph per sub-question maximum.

Read it on GitHub ↗
Ships withawsome-ai-agents

Welcome to the Awesome AI Agents repository! This is a comprehensive collection of autonomous AI agents built using cutting-edge frameworks like Agno, Microsoft AutoGen, and OpenAI Swarm.

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Apache-2.0
License
4mo ago
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1y ago
Created

Repo: simranjeet97/Awsome_AI_Agents

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