跳到正文
cccskills
免费在 GitHub 公开

managing-cdktf

Use when working with Cdktf — cDK for Terraform (CDKTF) project and stack management. Covers project synthesis, provider generation, stack deployment, output inspection, and diff analysis using TypeScript, Python, Go, Java, or C#. Use when working with CDKTF projects, synthesizing Terraform configurations, deploying stacks, or debugging provider bindings.

中文简介正在准备中。当前显示原文说明。

集成工具Terraform
查看安装方法

包含的文件(1)

  • SKILL.md4.3 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

CDKTF Management Skill

Manage CDK for Terraform projects, synthesize HCL, deploy stacks, and inspect outputs.

MANDATORY: Discovery-First Pattern

Always inspect the CDKTF project structure and synthesized output before deploying.

Phase 1: Discovery

#!/bin/bash
echo "=== CDKTF Version ==="
cdktf --version 2>/dev/null

echo ""
echo "=== Project Structure ==="
cat cdktf.json 2>/dev/null | jq '{language, app, terraformProviders: (.terraformProviders // [] | length), terraformModules: (.terraformModules // [] | length)}'

echo ""
echo "=== Stacks ==="
cdktf list 2>/dev/null | head -15

echo ""
echo "=== Generated Providers ==="
ls .gen/providers/ 2>/dev/null | head -10 || echo "No generated providers found"

echo ""
echo "=== Dependencies ==="
if [ -f package.json ]; then
  jq '.dependencies // {} | keys' package.json 2>/dev/null | head -15
elif [ -f requirements.txt ]; then
  head -15 requirements.txt
fi

Phase 2: Analysis

#!/bin/bash
STACK="${1:-}"

echo "=== Synth Output ==="
cdktf synth 2>&1 | tail -10

echo ""
echo "=== Synthesized Stacks ==="
ls cdktf.out/stacks/ 2>/dev/null

echo ""
if [ -n "$STACK" ]; then
  echo "=== Stack Plan ($STACK) ==="
  cdktf diff "$STACK" 2>&1 | tail -30
else
  echo "=== Default Stack Plan ==="
  cdktf diff 2>&1 | tail -30
fi

Output Rules

  • TOKEN EFFICIENCY: Target <=50 lines per output
  • Always synth before diff or deploy
  • Show resource counts from synthesized output, not full HCL
  • Summarize provider versions rather than listing all bindings

Safety Rules

  • NEVER run cdktf deploy without cdktf diff first
  • Always run cdktf synth to validate before deployment
  • Review generated Terraform in cdktf.out/ before applying
  • Pin provider versions in cdktf.json for reproducibility
  • Use --auto-approve only when explicitly confirmed

Output Format

Present results as a structured report:

Managing Cdktf Report
═════════════════════
Resources discovered: [count]

Resource       Status    Key Metric    Issues
──────────────────────────────────────────────
[name]         [ok/warn] [value]       [findings]

Summary: [total] resources | [ok] healthy | [warn] warnings | [crit] critical
Action Items: [list of prioritized findings]

Target ≤50 lines of output. Use tables for multi-resource comparisons.

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