跳到正文
cccskills
免费在 GitHub 公开

managing-dbt-cloud

Use when working with Dbt Cloud — dbt Cloud management — monitor projects, environments, job runs, model status, and data freshness. Use when reviewing job run health, debugging failed models, inspecting run artifacts, or auditing project configuration.

中文简介正在准备中。当前显示原文说明。

查看安装方法

包含的文件(1)

  • SKILL.md4.8 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Managing dbt Cloud

Manage and monitor dbt Cloud — projects, environments, jobs, run history, and model artifacts.

Discovery Phase

#!/bin/bash

DBT_API="https://cloud.getdbt.com/api/v2"
AUTH="Authorization: Token $DBT_CLOUD_API_TOKEN"

echo "=== Account Info ==="
curl -s -H "$AUTH" "$DBT_API/accounts/$DBT_CLOUD_ACCOUNT_ID/" \
  | jq '.data | {name: .name, id: .id, plan: .plan, run_slots: .run_slots}'

echo ""
echo "=== Projects ==="
curl -s -H "$AUTH" "$DBT_API/accounts/$DBT_CLOUD_ACCOUNT_ID/projects/" \
  | jq -r '.data[] | [.id, .name, .connection.type, .repository.remote_url] | @tsv' | column -t | head -10

echo ""
echo "=== Environments ==="
curl -s -H "$AUTH" "$DBT_API/accounts/$DBT_CLOUD_ACCOUNT_ID/environments/" \
  | jq -r '.data[] | [.id, .name, .type, .dbt_version, .project_id] | @tsv' | column -t | head -10

echo ""
echo "=== Jobs ==="
curl -s -H "$AUTH" "$DBT_API/accounts/$DBT_CLOUD_ACCOUNT_ID/jobs/" \
  | jq -r '.data[] | [.id, .name, .project_id, .state, .schedule.cron] | @tsv' | column -t | head -15

Analysis Phase

#!/bin/bash

DBT_API="https://cloud.getdbt.com/api/v2"
AUTH="Authorization: Token $DBT_CLOUD_API_TOKEN"
ACCT="accounts/$DBT_CLOUD_ACCOUNT_ID"

echo "=== Recent Runs ==="
curl -s -H "$AUTH" "$DBT_API/$ACCT/runs/?limit=15&order_by=-created_at" \
  | jq -r '.data[] | [.id, .job.name, .status_humanized, .duration_humanized, .created_at] | @tsv' | column -t

echo ""
echo "=== Failed Runs ==="
curl -s -H "$AUTH" "$DBT_API/$ACCT/runs/?limit=10&status=20" \
  | jq -r '.data[] | [.id, .job.name, .created_at, .status_message[:60]] | @tsv' | column -t

echo ""
echo "=== Run Artifacts (latest) ==="
LATEST_RUN=$(curl -s -H "$AUTH" "$DBT_API/$ACCT/runs/?limit=1&status=10&order_by=-finished_at" | jq -r '.data[0].id')
if [ "$LATEST_RUN" != "null" ]; then
  echo "Run ID: $LATEST_RUN"
  curl -s -H "$AUTH" "$DBT_API/$ACCT/runs/$LATEST_RUN/artifacts/" \
    | jq -r '.data[]' | head -10

  echo ""
  echo "=== Run Results Summary ==="
  curl -s -H "$AUTH" "$DBT_API/$ACCT/runs/$LATEST_RUN/artifacts/run_results.json" \
    | jq '{elapsed_time: .elapsed_time, results: [.results[] | {model: .unique_id, status: .status, execution_time: .execution_time}] | sort_by(-.execution_time)[:10]}'
fi

echo ""
echo "=== Model Freshness ==="
curl -s -H "$AUTH" "$DBT_API/$ACCT/runs/$LATEST_RUN/artifacts/sources.json" 2>/dev/null \
  | jq -r '.results[] | [.unique_id, .status, .max_loaded_at, .criteria.warn_after.count // "N/A"] | @tsv' | column -t | head -10

Output Format

ACCOUNT
Name:       <account-name>
Plan:       <plan>
Run Slots:  <n>

JOBS
ID       Name             Project  State    Cron
<id>     <job-name>       <proj>   active   <cron>

RECENT RUNS
ID       Job              Status      Duration     Created
<id>     <job-name>       Success     <duration>   <timestamp>

FAILED RUNS
ID       Job              Created         Error
<id>     <job-name>       <timestamp>     <message>

MODEL PERFORMANCE (latest run)
Model              Status    Execution Time
<model-name>       pass      <seconds>s

Anti-Hallucination Rules

  1. NEVER assume resource names — always discover via CLI/API in Phase 1 before referencing in Phase 2.
  2. NEVER fabricate metric names or dimensions — verify against the service documentation or --help output.
  3. NEVER mix CLI commands between service versions — confirm which version/API you are targeting.
  4. ALWAYS use the discovery → verify → analyze chain — every resource referenced must have been discovered first.
  5. ALWAYS handle empty results gracefully — an empty response is valid data, not an error to retry.

Counter-Rationalizations

ShortcutCounterWhy
"I'll skip discovery and check known resources"Always run Phase 1 discovery firstResource names change, new resources appear — assumed names cause errors
"The user only asked for a quick check"Follow the full discovery → analysis flowQuick checks miss critical issues; structured analysis catches silent failures
"Default configuration is probably fine"Audit configuration explicitlyDefaults often leave logging, security, and optimization features disabled
"Metrics aren't needed for this"Always check relevant metrics when availableAPI/CLI responses show current state; metrics reveal trends and intermittent issues
"I don't have access to that"Try the command and report the actual errorAssumed permission failures prevent useful investigation; actual errors are informative

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Cloudflare GraphQL Analytics for zone traffic, firewall events, Workers metrics, and schema exploration. Use when querying Cloudflare analytics data or exploring the GraphQL API.

中文简介正在准备中。当前显示原文说明。

cloudthinker-ai/CloudSkills62026年4月5日 更新

Use when working with Alloydb — google AlloyDB instance analysis, query insights, columnar engine optimization, maintenance windows, and cluster health.

中文简介正在准备中。当前显示原文说明。

cloudthinker-ai/CloudSkills62026年4月5日 更新

Use when working with Aqua — aqua Security platform analysis. Covers container runtime protection, image assurance policies, compliance frameworks, vulnerability management, workload protection, and registry scanning. Use when analyzing container security posture, reviewing image compliance, investigating runtime alerts, or auditing security policies.

中文简介正在准备中。当前显示原文说明。

cloudthinker-ai/CloudSkills62026年4月5日 更新

Use when working with Bigquery — google BigQuery job analysis, slot utilization, cost analysis, dataset management, and query optimization.

中文简介正在准备中。当前显示原文说明。

cloudthinker-ai/CloudSkills62026年4月5日 更新

Use when working with Cassandra — apache Cassandra keyspace analysis, compaction strategies, repair status, nodetool operations, and cluster health monitoring.

中文简介正在准备中。当前显示原文说明。

cloudthinker-ai/CloudSkills62026年4月5日 更新

Use when working with Checkov — checkov infrastructure-as-code security scanning. Covers Terraform, CloudFormation, Kubernetes, and Dockerfile scanning, policy management, custom checks, compliance frameworks, and suppression management. Use when scanning IaC for security misconfigurations, evaluating compliance, managing custom policies, or reviewing scan results.

中文简介正在准备中。当前显示原文说明。

cloudthinker-ai/CloudSkills62026年4月5日 更新

查看 cloudthinker-ai 的全部技能

报告此技能的问题