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

connect

Skill0 starsChanged 3 months agoMITView on GitHub

Connect a data source (Postgres, Snowflake, BigQuery, etc.) to Summation. Use when the user wants to add a warehouse or database. Keep secrets out of chat; attach tables with clear names.

64 other projects use a version of this.

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The file

We split this skill into the rules it gives an agent

8 rules. 0 are common, 5 are distinctive, and 3 are very specific to this project.

  • 0

    Common

    Most of the 56 edited versions we read keep these.

  • 5

    Distinctive

    This author's own choices. Worth a look.

  • 3

    Very specific

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

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

    Fetch https://docs.summation.com/llms.txt: before answering which sources are supported.

    line 12
  2. Distinctive:

    Never invent “unsupported” after a failed URL, truncated API dig, or homepage marketing.

    line 17
  3. Distinctive:

    Wait. Do not dig through OpenAPI or guess config key names in chat.

    line 31
  4. Very specific:

    When they say done: MCP list_data_connections → test_data_connection → browse → attach with names (below).

    line 32
  5. Distinctive:

    If they already have a connection: skip create.

    line 34
  6. Distinctive:

    If rename/detach tools exist, use them to fix mistakes.

    line 44
  7. Very specific:

    Verify with list_connection_datasets (friendly names).

    line 45
  8. Distinctive:

    Only then: “Connected X. Tables ready: a, b, c.”

    line 46

“Common” is measured: kept by at least 6 in 10 of the 56 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 Connect

Help the user get a live data source into Summation, then make its tables analyzable under human-readable names.

Product knowledge (required — live, not baked in)

  1. Fetch https://docs.summation.com/llms.txt before answering which sources are supported.
  2. Open the matching connector page from that index (e.g. Postgres, Snowflake, BigQuery).
  3. Hosted multi-engine services (RDS, Cloud SQL, Azure Database, …) are not a connector by themselves — ask which engine (Postgres, MySQL, SQL Server, …) before mapping to the index. Neon and similar Postgres-only hosts can map to Postgres once confirmed.
  4. See ../api/references/product.md for lookup rules only — not a static feature list.

Never invent “unsupported” after a failed URL, truncated API dig, or homepage marketing. If docs can’t be reached, say so and retry — don’t guess.

Customer path for new connections (default)

Passwords and secrets never go in chat or MCP tool arguments.

  1. Confirm the source type (supported list).
  2. Collect non-secret fields only; echo for confirmation.
  3. Guide the user:

    Open Summation → Connections → Add connection → pick <Source>.
    Enter the settings we listed. Put the password only in the browser.
    Click Test, then save. Tell me when it’s done.

  4. Wait. Do not dig through OpenAPI or guess config key names in chat.
  5. When they say done: MCP list_data_connections → test_data_connection → browse → attach with names (below).

If they already have a connection: skip create; go to attach.

(If MCP later exposes a safe create path that never puts secrets in the model transcript, you may use it — still never paste secrets into chat.)

After the connection exists (MCP)

  1. list_data_connections — find by name.
  2. test_data_connection — pass/fail in plain language.
  3. browse_connection_resources — preview of what can be attached.
  4. attach_connection_datasets — always set a clear name (source table name: customers, invoices, …). Never leave auto names like pg_…_dataset_2.
  5. If rename/detach tools exist, use them to fix mistakes; otherwise guide the user in Connections.
  6. Verify with list_connection_datasets (friendly names). Attach to the project catalog when needed.
  7. Only then: “Connected X. Tables ready: a, b, c.”

File / CSV import

Shell available: prefer sumcli tables import (the direct pipeline; needs the CLI session — ../api/references/sumcli.md). Shell-less: import_file_to_table (and related file tools) via MCP. Confirm with catalog/list after import.

If the MCP import fails with 409 "not enabled for this workspace" (feature_not_enabled): that gates only the agent-workflow route. The direct pipeline still works on both surfaces — sumcli tables import, or over MCP: create_asset_upload_url → PUT the bytes to the presigned URL → preview_import_asset → create_table_import. Use whichever surface you are already on; no admin action needed. Other failures: say so plainly and offer to connect a warehouse, or retry after fixing the issue — no internal tool names.

Hard bans (user chat)

  • OpenAPI archaeology or multi-variant key guessing
  • Secrets in MCP args or chat (salvage: web app + rotate if already pasted)
  • Secretless orphan connections
  • Claiming success without a final list/test
  • Dumping paths, schema JSON, or internal tool ids

Auth

MCP auth failure → the signin skill.

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