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firm-data-querying

Use when the member asks a question about the firm's Torq data that no specific Torq tool answers, such as counts, totals, trends or rankings across leads…

Skill by Torq-Legal-Labs

IndexedMIT
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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/torq-legal-labs-firm-data-querying

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

Use when the member asks a question about the firm's Torq data that no specific Torq tool answers, such as counts, totals, trends or rankings across leads, cases, opportunities or other firm datasets.

Use cases: data

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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
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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/firm-data-querying

What's inside

Skill name
firm-data-querying
Description
Use when the member asks a question about the firm's Torq data that no specific Torq tool answers, such as counts, totals, trends or rankings across leads, cases, opportunities or other firm datasets.
License
MIT
Instructions
15 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Firm Data Querying

Use this skill when no curated Brain tool directly answers the question or the user asks for aggregation over raw firm datasets.

Workflow:
1. Call describe_dataset for the target dataset before composing a query.
2. Push filtering, grouping, and aggregation into query_firm_data; do not fetch broad rows and aggregate in model context.
3. Select only fields needed for the answer. Keep limits tight unless the user explicitly needs a sample.
4. Prefer aggregate rows for trends, counts, sums, averages, and rankings.
5. total counts every row the query matches. When nextCursor is set, pass it back as cursor with the same arguments for the next page, or issue a narrower query; never treat one page as the complete result.
6. The synced datasets lag Salesforce by up to ~15 minutes. ONLY when a lead/case/client/opportunity was created or changed in the last few minutes and the synced row is missing or stale, use sf_live_lookup for a live read. Treat verified=false (no items) as "could not confirm" — not as "no such record".

Torq tools this guide uses: `describe_dataset`, `query_firm_data`, `sf_live_lookup`. They come from the Torq connector. If they are not available, Torq is not connected or the member's Torq permissions do not include them; setup is at https://torqlegallabs.com/ai-assistants.

From Torq-Legal-Labs/torq-claude-plugin, MIT.

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Last commit (this folder)
Oct 17, 2026 (14 days ago)

From GitHub (fetched Oct 24, 2026).

Details

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

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firm-data-querying skill. Agent Mart. https://agentmart.dev/skills/torq-legal-labs-firm-data-querying (last updated 2026-10-24)