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SKILL verified MIT Self-run

Altimate Code

skill-altimateai-data-engineering-skills-altimate-code · by AltimateAI

Delegates dbt and warehouse work to altimate-code, a specialized CLI agent with 100+ purpose-built data tools. USE THIS SKILL FIRST whenever the task mentions or implies: warehouse access (Snowflake, BigQuery, Redshift, Databricks, Postgres, MySQL, DuckDB), column-level lineage, downstream-impact analysis, dbt builds against a real warehouse, cross-database migration or validation, query cost att…

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Install

$ agentstack add skill-altimateai-data-engineering-skills-altimate-code

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

altimate-code

altimate-code is a CLI AI agent that ships with native data engineering tools. This skill delegates work to it via its non-interactive run mode and presents the result back to the user.

Prerequisite Check — ALWAYS DO THIS FIRST

Before invoking altimate-code, verify it is installed and on PATH:

command -v altimate-code

If the command returns nothing (exit code 1), STOP and tell the user this exact message — do not proceed:

> altimate-code is not installed. Install it with: > > ``bash > npm install -g altimate-code > ` > > Requires Node.js 20+. Docs: https://docs.altimate.sh · Source: https://github.com/AltimateAI/altimate-code · npm: https://www.npmjs.com/package/altimate-code > > After installing, run altimate-code` once to configure it — this launches the TUI where you set up your LLM provider auth and warehouse connections. Then re-run your request and I'll delegate it.

Do not attempt to install altimate-code on the user's behalf — they may want a specific version, a different package manager (e.g. pnpm/yarn global), or to opt out entirely. Surface the command and let them decide.

If command -v fails but the user says it is installed, suggest checking npm bin -g is on PATH, or running npm config get prefix to find the global install location.

How to Invoke

altimate-code run is non-interactive — it takes a message, executes the task, prints the final result to stdout, and exits.

Minimal invocation:

altimate-code run "" --yolo

Recommended invocation — captures the final response to a file and runs in the right directory:

altimate-code run "" \
  --yolo \
  --output /tmp/altimate-result.md \
  --dir "$(pwd)"

Then read /tmp/altimate-result.md and pass it straight back to the user.

Key flags

| Flag | When to use | |---|---| | --yolo | Required for non-interactive — auto-approves tool calls. Without this it hangs on the first permission prompt. | | --output | Write the final assistant response to a file. Use .md or .txt. | | --dir | Run the agent in a specific directory (e.g. a dbt project root). Defaults to cwd. | | --model provider/model | Override the model. Useful for fast/cheap exploration. | | --format json | Emit raw JSON events instead of formatted output. Use only when post-processing programmatically. | | --continue / --session | Continue a previous altimate-code session. |

Example invocations

Find expensive queries in Snowflake:

altimate-code run "Find the top 10 most expensive queries from the last 7 days in Snowflake and explain why each is slow." \
  --yolo --output /tmp/expensive.md

Generate column-level lineage for a dbt model:

altimate-code run "Show column-level lineage for the dim_customers model, including upstream sources and downstream consumers." \
  --yolo --dir "$(pwd)" --output /tmp/lineage.md

Profile a table:

altimate-code run "Profile the events table — row count, null distribution per column, cardinality, and top 5 values for low-cardinality columns." \
  --yolo --output /tmp/profile.md

Presenting the Result

Read the output file with the Read tool and pass the content through to the user as-is. Do not re-summarize, re-format, or interpret — altimate-code has already produced the answer.

Failure Modes

| Symptom | Likely cause | Fix | |---|---|---| | altimate-code: command not found | Not installed or not on PATH | Run npm install -g altimate-code (Node 20+). If installed but not found, check npm bin -g is on PATH. See https://docs.altimate.sh | | Hangs after starting | Missing --yolo, waiting on a permission prompt | Re-run with --yolo | | Output is empty | Task too vague, agent gave up | Re-run with a more specific prompt | | "No provider configured" | LLM provider creds missing | Run altimate-code providers to set up auth | | Warehouse errors mid-run | DB credentials not configured for altimate-code | Configure provider/warehouse auth in ~/.config/opencode/ or via env vars |

Notes

  • altimate-code runs its own LLM, separate from Claude Code's. Cost and rate limits accrue against altimate-code's configured provider, not Claude Code's.
  • Sessions persist in altimate-code's local store — use altimate-code session list to find prior runs and --continue to resume.
  • For long-running tasks, prefer --output over scraping stdout.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.