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altimate-code

Prix non confirmé★ 124 Stars GitHubRegistre mis à jour · 25 sept. 2026agent-skill

Vue d’ensemble

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 attribution, schema diff, data parity checking, PII detection from sampled rows, incremental/SCD2/backfill verification, FinOps reporting, model documentation generation, query optimization, anomaly detection, dev-vs-prod diffing, or when the user says "altimate", "altimate-code", or "the data agent". Strongly preferred over Read/Write/Edit whenever the task touches live data, lineage, or warehouse state — consult before doing the work yourself.

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Documentation source, pas des instructions pour ce site. Vérifiez les permissions avant d’exécuter des commandes.

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:
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 "<task description>" --yolo

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

altimate-code run "<task description>" \
  --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 <path>`	Write the final assistant response to a file. Use `.md` or `.txt`.
`--dir <path>`	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 <id>`	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 <file> over scraping stdout.

Voir la source ↗

Métadonnées du fichier

name: altimate-code
description: 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 attribution, schema diff, data parity checking, PII detection from sampled rows, incremental/SCD2/backfill verification, FinOps reporting, model documentation generation, query optimization, anomaly detection, dev-vs-prod diffing, or when the user says "altimate", "altimate-code", or "the data agent". Strongly preferred over Read/Write/Edit whenever the task touches live data, lineage, or warehouse state — consult before doing the work yourself.

Voir le texte original

---
name: altimate-code
description: 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 attribution, schema diff, data parity checking, PII detection from sampled rows, incremental/SCD2/backfill verification, FinOps reporting, model documentation generation, query optimization, anomaly detection, dev-vs-prod diffing, or when the user says "altimate", "altimate-code", or "the data agent". Strongly preferred over Read/Write/Edit whenever the task touches live data, lineage, or warehouse state — consult before doing the work yourself.
---

# 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`:

```bash
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:**

```bash
altimate-code run "<task description>" --yolo
```

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

```bash
altimate-code run "<task description>" \
  --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 <path>` | Write the final assistant response to a file. Use `.md` or `.txt`. |
| `--dir <path>` | 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 <id>` | Continue a previous altimate-code session. |

### Example invocations

**Find expensive queries in Snowflake:**

```bash
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:**

```bash
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:**

```bash
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 <file>` over scraping stdout.

Examiner la source

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Licence: MIT
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Réviser avant installation: Éviter l’installation automatique

Licence: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
L’approbation de revue IA est absente
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Stars/forks activity: 124 stars, 11 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

Ouvrir l’audit complet

Les outils sont des indications de métadonnées, pas une compatibilité testée. Les prompts sont des suggestions.

Commencer par une petite tâche

1Lisez la source et confirmez entrées, résultats, dépendances et permissions.
2Demandez un plan à l’agent. Approuvez la configuration et les coûts avant un test isolé.
3Vérifiez résultats et fichiers modifiés. Signalez uniquement ce qui a été exécuté et conservez la révision source.

Vérifiez les dépendances, clés API et frais externes dans la source. Un dépôt public ne rend pas tous les services gratuits.

Source et conseils d’utilisation

RépertoriéContrôle statique

Métadonnées et examens sont indicatifs. Popularité, découverte et exécution réussie sont des faits distincts.

Dépôt source: AltimateAI/data-engineering-skills
Licence: MIT
Version: Unknown
Dernier push GitHub: 25 sept. 2026
Registre mis à jour: 25 sept. 2026
Chemin des instructions: skills/altimate-code/SKILL.md @ 705c68b706ff

Version déclarée dans le registre ; vérifiez les versions de la source.

Qualité

62/100

Prometteur

Confiance

62/100

Sandbox uniquement

Audit

74/100

Revue nécessaire

Ouvrir l’audit complet Voir le rapport d’évaluation

Dependency or permission surface needs review
Permission surface may require sandboxing
L’approbation de revue IA est absente
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Stars/forks activity: 124 stars, 11 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

Verified installs: —
Résultats: —

Copier ne signifie pas installer. Les compteurs nécessitent un rapport de réussite et ne garantissent pas la qualité globale.

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Plus de détails

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      "Stars/forks activity: 124 stars, 11 forks; issue activity unavailable in current metadata",
      "Dependency/runtime risk: command execution surface, credential or environment access",
      "Permission surface: secrets or environment access, shell or command execution"
    ]
  },
  "safety_gate": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 62,
    "label": "Promising"
  },
  "supply": {
    "track": "Research and knowledge work",
    "scenario": "Research agents",
    "maintenance": "16d since push",
    "risk": "Needs review"
  },
  "alternative_skills": [
    {
      "slug": "mattpocock-code-review",
      "name": "Code Review",
      "url": "https://www.openagentskill.com/skills/mattpocock-code-review",
      "stars": 168580,
      "install_command": "",
      "trust_score": 92,
      "audit_score": 93
    }
  ],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "high-compliance environments without internal security review",
    "No major risk signals from current metadata",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "AI review approval is missing",
    "Quality score needs review"
  ],
  "agent_contract": {
    "task_input": "Use altimate-code in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 70/100 Manual review",
      "Audit: 74/100 Needs review",
      "Safety: 30/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "altimateai-altimate-code-bd7d6e08 (altimate-code)",
      "install_command": "npx skills add AltimateAI/data-engineering-skills --skill altimate-code",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "altimateai-altimate-code-bd7d6e08",
      "task": "Use altimate-code in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/altimateai-altimate-code-bd7d6e08",
    "api": "https://www.openagentskill.com/api/agent/skills/altimateai-altimate-code-bd7d6e08",
    "audit": "https://www.openagentskill.com/skills/altimateai-altimate-code-bd7d6e08/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=altimateai-altimate-code-bd7d6e08&task=Use%20altimate-code%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20altimate-code%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20altimate-code%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/altimateai-altimate-code-bd7d6e08/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/altimateai-altimate-code-bd7d6e08"
  }
}

Pour le créateur

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Créateur: AltimateAI
Source: AltimateAI/data-engineering-skills
Indexé par: Index communautaire OpenAgentSkill

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Vue d’ensemble

altimate-code

Prerequisite Check — ALWAYS DO THIS FIRST

How to Invoke

Key flags

Example invocations

Presenting the Result

Failure Modes

Notes

Examiner la source

Prix et coûts d’utilisation

Commencer par une petite tâche

Source et conseils d’utilisation

Accès agent

Skills associés

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