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summationaisummationai/summation-plugin/skills/query/SKILL.md

query

Skill0 starsChanged 3 months agoMITView on GitHub

Answer a data question or run read-only SQL against Summation. Use for quick checks, tables, or open-ended questions.

38 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use attach-db, install-duckdb and 7 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
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The file

We split this skill into the rules it gives an agent

3 rules. 0 are common, 2 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 31 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Prefer the analyst (ask_analyst) for narrative analysis.

    line 19
  2. Distinctive:

    Truncation: if the result row count equals the limit (default 100), say the result may be truncated and offer a higher limit or a tighter …

    line 21
  3. Distinctive:

    Read-only: don’t retry mutations.

    line 22

“Common” is measured: kept by at least 6 in 10 of the 31 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Summation Query

Execute via sumcli when a shell is available (see ../api/references/sumcli.md); the MCP tools below are the shell-less fallback. Sign in first if needed (CLI: sumcli auth login; MCP: whoami / signin skill).

Flow

  1. Ground names: the catalog skill or search_tables — never invent table names.
  2. Open-ended business questions (including “top N”, trends, “why”): prefer ask_analyst. Tell the user it’s working; answers often take a bit.
  3. Explicit SQL the user provided (or a simple lookup): run_query with an explicit limit (default 100; ask before very large pulls).
  4. Render a compact table; show row count and the SQL used when you ran SQL. Spot-check surprising results in plain language.

Rules

  • Prefer the analyst (ask_analyst) for narrative analysis; SQL for precise, user-authored queries.
  • Ranked / top-N SQL needs ORDER BY. Without it, LIMIT N is not “top N” — add an order (with consent) or say the rows are unordered, not a ranking.
  • Truncation: if the result row count equals the limit (default 100), say the result may be truncated and offer a higher limit or a tighter filter. Never present a capped pull as the full set.
  • Read-only: don’t retry mutations.
  • Errors: plain language; permission issues ≠ “not signed in.”
  • No REST helper.

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