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compose_multi_topic_queries

Procedural skill synthesized from user workflow

Skill by maThiaslI152

IndexedMIT★ 1
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/mathiasli152-compose-multi-topic-queries

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Procedural skill synthesized from user workflow

Use cases: productivity

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
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Install scripts
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/compose-multi-topic-queries

What's inside

Skill name
compose_multi_topic_queries
Description
Procedural skill synthesized from user workflow
License
MIT
Instructions
7 lines in SKILL.md · view on GitHub

Agent Skills spec issues

  • name: only lowercase letters, digits and single hyphens allowed

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Multi-Topic Query Composition
When a user combines multiple distinct questions into one prompt (e.g., "what is the capital and GDP of Thailand?"), do not concatenate them into a single search query like `"capital city of X — what is its GDP roughly?"`. This muddies results.

**Instead:** Decompose into separate tool calls or sequential searches:
- For simple pairs: run two targeted queries (`search(query="capital of Thailand")`, then `search(query="GDP of Thailand")`).
- For complex multi-part requests: parse the user's intent and generate one search per distinct entity/topic.\n
**Why:** Each query gets a clean result set focused on that topic, rather than a hybrid result set where the second answer is buried or mangled by the first.

From maThiaslI152/OwlynnV2, MIT.

More from maThiaslI152/OwlynnV2

Signals

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Last commit (this folder)
Sep 7, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from maThiaslI152

Cite this page

compose_multi_topic_queries skill. Agent Mart. https://agentmart.dev/skills/mathiasli152-compose-multi-topic-queries (last updated 2026-10-24)