Cdk Contribution Skill logo

Cdk Contribution Skill

Organization
cdklabs
cdk-contribution-skill

Guide AWS CDK contributions from GitHub issue analysis to PR-ready code. Use when contributing to aws-cdk repository, analyzing CDK issues, implementing fixes, or preparing pull requests.

Overview

Publishercdklabs
Repositorycdk-contribution-skill
Skill namecdk-contribution-skill
Stars
111
Forks
7
Bundled files
11
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 11 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by cdklabs on GitHub. Read the source before you install it.

Installation

Install the Cdk Contribution Skill AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/cdklabs/cdk-contribution-skill/tree/main/cdk-contribution-skill
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/cdklabs/cdk-contribution-skill.git /tmp/cdk-contribution-skill
mkdir -p .claude/skills
cp -r /tmp/cdk-contribution-skill/cdk-contribution-skill .claude/skills/cdk-contribution-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cdk Contribution Skill in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cdk Contribution Skill on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cdk Contribution Skill is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

CDK Contribution Workflow

Orchestrates specialized phases for AWS CDK contributions with human approval gates.

MANDATORY: Present Workflow Overview FIRST

BEFORE doing ANY work, you MUST present the ASCII workflow diagram below, explain the process, and wait for confirmation — because the user needs visibility into the multi-phase process and an opportunity to opt out before any work begins.

Display this to the user:

text
CDK Contribution Workflow for Issue #<NUMBER>

I'll guide you through a structured process with human approval gates:

+------------------------------------------+
|           MAIN ORCHESTRATOR              |
|         (Me - Coordinates work)          |
+--------------------+---------------------+
                     |
     +---------------+--------------+
     |       PHASE 1: ANALYSIS      |
     +---------------+--------------+
                     |
                     v
     +-------------------------------+
     |        ISSUE ANALYST          |
     |  Analyze issue, classify      |
     |  type, explore code           |
     +---------------+---------------+
                     |
     +---------------+--------------+
     |       PHASE 2: PLANNING      |
     +---------------+--------------+
                     |
                     v
     +-------------------------------+
     |      SOLUTION ARCHITECT       |
     |  Propose solution, tests,     |
     |  and impl approach            |
     +---------------+---------------+
                     |
                     v
     +-------------------------------+
     |      YOUR APPROVAL            |
     |  Issue at a glance (ASCII)    |
     |  Proposed solution (ASCII)    |
     |  Unit + integ test plan       |
     |                               |
     |  Continue? Yes | No |         |
     |             Something Else    |
     +---------------+---------------+
               [YES] |
     +---------------+--------------+
     |    PHASE 3: BUILD & IMPL     |
     +---------------+--------------+
                     |
                     v
     +-------------------------------+
     |   BUILD SETUP + IMPLEMENT     |
     |   Branch, env, write code     |
     +---------------+---------------+
                     |
     +---------------+--------------+
     |   PHASE 4: PARALLEL VALID    |
     +-------+-------+-------+------+
             |       |       |
             v       v       v
         +------+ +-----+ +------+
         | TEST | |  QA | | DOCS |
         +--+---+ +--+--+ +--+---+
            +-------+-------+
                    |
     +--------------+--------------+
     |     PHASE 5: SELF REVIEW    |
     +-------+---------------------+
             |             |
             v             v
     +------------+  +------------+
     |  SECURITY  |  | REGRESSION |
     |   REVIEW   |  |   REVIEW   |
     +------+-----+  +-----+------+
            +----------+---+
                       |
                       v
            +--------------------+
            |    SYNTHESIZE      |
            |   REVIEW REPORT    |
            +--------+-----------+
                     |
                     v
     +-------------------------------+
     |       REVIEW FINDINGS         |
     |   Submit PR or fix issues     |
     +-------------------------------+

Key Points:
- Phase 1 (Analysis) runs first, then Phase 2 (Planning) runs after — sequential, not parallel
- You review and approve the plan before any code is written
- I pause for your input at critical decision points

Should we start? Yes | No

STOP and wait for user response. You MUST NOT proceed until the user confirms — because the user needs to understand the full workflow scope before committing to it.


Reference Files

CRITICAL: The reference files in the references/ folder define the exact structure and content of each deliverable per phase. You MUST read the relevant reference file BEFORE executing each phase:

SOPPhasePurpose
issue-analyst-sop.md1 – AnalysisIssue analysis and classification
solution-architect-sop.md2 – PlanningSolution design and planning
build-engineer-sop.md3 – Build & ImplBuild environment setup
implementation-specialist-sop.md3 – Build & ImplCode implementation
test-engineer-sop.md4 – ValidationUnit and integration testing
quality-assurance-sop.md4 – ValidationLint, build, and quality checks
documentation-specialist-sop.md4 – ValidationREADME and docs updates
security-reviewer-sop.md5 – Self ReviewSecurity review
regression-reviewer-sop.md5 – Self ReviewRegression review
review-report-generator-sop.md5 – Self ReviewFinal review report synthesis

Supplementary references: debug-ci.md (use when debugging GitHub Actions CI failures)

Refer to the Quick Reference — Commands table in AGENTS.md at the aws-cdk repo root for exact commands.

Deliverables

Each phase MUST write its output to markdown files under .contributions/<ISSUE_NUMBER>/:

PhaseOutput file
Phase 1.contributions/<ISSUE_NUMBER>/01-analysis.md
Phase 2.contributions/<ISSUE_NUMBER>/02-solution.md
Phase 3.contributions/<ISSUE_NUMBER>/03-build.md
Phase 4.contributions/<ISSUE_NUMBER>/test-results.md
Phase 4.contributions/<ISSUE_NUMBER>/quality-validation.md
Phase 4.contributions/<ISSUE_NUMBER>/pr.md
Phase 4.contributions/<ISSUE_NUMBER>/04-validation.md
Phase 5.contributions/<ISSUE_NUMBER>/security-review.md
Phase 5.contributions/<ISSUE_NUMBER>/regression-review.md
Phase 5.contributions/<ISSUE_NUMBER>/05-review.md

Each phase is responsible for writing its own deliverable file(s) before completing. The orchestrator reads the file as the handoff input to the next phase.

Deliverable ASCII Diagram Requirement

Every deliverable markdown file MUST include at least one ASCII diagram that visually summarises the key findings or structure of that phase. Examples by phase:

  • Phase 1: module/file dependency map or issue impact diagram
  • Phase 2: solution architecture diagram showing files to change and their relationships
  • Phase 3: branch/build setup flow
  • Phase 4: test coverage map (unit vs integ, pass/fail)
  • Phase 5: review findings summary (security + regression side by side)

Use plain ASCII box-and-arrow style. No emoji. Example:

text
  +----------------+       +------------------+
  |  affected.ts   | ----> |  test/foo.test.ts |
  +----------------+       +------------------+
         |
         v
  +----------------+
  |  features.ts   |  (new feature flag)
  +----------------+

Phase Execution Instructions

When user says "Yes" to start:

IMPORTANT: Phase 1 and Phase 2 are SEQUENTIAL — Phase 2 depends on Phase 1's output. You MUST NOT run them in parallel — because Phase 2 requires the analysis deliverable from Phase 1.

Step A — Execute Phase 1 (Issue Analysis):

MANDATORY PRE-READ: Before executing this phase, you MUST read the instructions in references/issue-analyst-sop.md Do NOT proceed until you have read the file and understand the required deliverables.

Analyze the GitHub issue at <ISSUE_URL>.

To fetch issue data, use the following priority order:

  1. PRIMARY - gh CLI (preferred):
    • gh issue view <NUMBER> --repo aws/aws-cdk --json number,title,body,labels,comments,state
    • gh issue view <NUMBER> --repo aws/aws-cdk --comments for full comment thread
    • gh pr list --repo aws/aws-cdk --search "<issue number>" --json number,title,url for linked PRs
  2. FALLBACK - GitHub MCP server (only if gh CLI is unavailable or fails):
    • Use GitHub MCP tools with perPage: 3 to avoid token overflow

Then explore the aws-cdk codebase to understand the affected module(s), existing patterns, test conventions, and any related code. Classify the issue type (bug, feature, docs, etc.). Produce a structured analysis: issue summary, affected files/modules, root cause or gap, relevant CDK patterns observed, and any constraints or risks.

Write your full analysis to .contributions/<ISSUE_NUMBER>/01-analysis.md before returning.

Step B — WAIT for Phase 1 to complete, then read its output:

Read .contributions/<ISSUE_NUMBER>/01-analysis.md to confirm it was written successfully.

Step C — Only AFTER Phase 1 is complete, execute Phase 2 (Solution Planning):

Pass the content of 01-analysis.md as context to Phase 2:

MANDATORY PRE-READ: Before executing this phase, you MUST read the instructions in references/solution-architect-sop.md Do NOT proceed until you have read the file and understand the required deliverables.

Using the analysis provided in the context, propose a concrete solution for the CDK contribution. Include: the implementation approach, which files need to change and how, required unit tests (what to test and why), required integ tests (which integ test file, what scenario to cover), and any breaking change considerations. Be specific about CDK patterns to follow.

Write your full proposal to .contributions/<ISSUE_NUMBER>/02-solution.md before returning.

You MUST NOT ask the user for input between Phase 1 and Phase 2 — because the analysis-to-planning handoff is fully automated and interrupting it adds no value.


After both phases complete, present this proposal to the user:

ISSUE AT A GLANCE
=================

Issue:   #<NUMBER> - <TITLE>
Type:    <bug | feature | docs | ...>
Module:  <e.g. aws-lambda, aws-s3, ...>
Impact:  <one line>

Affected files:
  - <file 1>
  - <file 2>
  - ...

Root cause / gap:
  <2-3 sentence summary>

Constraints / risks:
  - <item>
  - ...


PROPOSED SOLUTION
=================

Approach:
  <concise description of the fix or feature>

Files to change:
  +---------------------------+----------------------------------+
  | File                      | Change                           |
  +---------------------------+----------------------------------+
  | <path/to/file.ts>         | <what changes>                   |
  | <path/to/other.ts>        | <what changes>                   |
  +---------------------------+----------------------------------+

Unit tests:
  File: <test file path>
  +------------------------------------------+
  | Test case                                |
  +------------------------------------------+
  | <describe what is tested>                |
  | <describe what is tested>                |
  +------------------------------------------+

Integ tests:
  File: <integ test file path>
  Scenario: <what the integ test exercises>
  Snapshot update required: Yes | No

Breaking changes: Yes | No
  <if yes, explain>


Continue with this plan? Yes | No | Something Else

Phases 3-5 (after plan approval)

Phase 3: Build & Implementation

STEP 0 — READ SOPs (non-negotiable, do this FIRST):

You MUST read BOTH of these files before ANY other action in this phase:

  1. references/build-engineer-sop.md - provides instructions for the build phase
  2. references/implementation-specialist-sop.md - provides instructions for the implementation phase

After reading, confirm you understand the required deliverables and procedures.

STEP 1

Before doing anything, present this summary to the user:

text
PHASE 3: BUILD & IMPLEMENTATION
================================

Here's what I'm about to do:

  1. Create local branch   fix/issue-<NUMBER>-<slug>
  2. Sync with upstream    fetch and rebase onto upstream/main
  3. Assess build need     read 02-solution.md to decide if build is required
  4. Implement             apply all changes from the approved plan

Kicking off now...

Then proceed immediately without waiting for a response.

Steps (in order, no skipping) — see references/build-engineer-sop.md for exact commands:

  1. Create a local PR branch named fix/issue-<NUMBER>-<short-description> from current HEAD
  2. Sync with upstream main (add upstream remote if missing, then fetch and rebase)
  3. Assess whether a build is required:
    • Read 02-solution.md — if changes touch generated code, L1 constructs, or cross-package imports that require compilation, build the affected package(s)
    • If changes are purely in .ts source + tests with no codegen dependency, skip the build and go straight to implementation
    • Document the decision in 03-build.md
  4. Implement all changes from the approved plan in 02-solution.md.
  5. Write deliverable to .contributions/<ISSUE_NUMBER>/03-build.md (with ASCII diagram)

Phase 4: Parallel Validation

STEP 0 — READ SOPs (non-negotiable, do this FIRST):

You MUST read ALL THREE of these files before ANY other action in this phase:

  1. references/test-engineer-sop.md - provides instructions for the testing task. Required deliverable: test-results.md.
  2. references/quality-assurance-sop.md - provides instructions for the QA task. Required deliverable: quality-validation.md
  3. references/documentation-specialist-sop.md - provides instructions for the documentation task. Required deliverable: pr.md

After reading, confirm you understand the required deliverables and procedures.

STEP 1

Before doing anything, present this summary to the user:

text
PHASE 4: PARALLEL VALIDATION
==============================

Here's what I'm about to do (all three run in parallel):

  +---------------------+   +------------------+   +------+
  |        TEST         |   |        QA        |   | DOCS |
  +---------------------+   +------------------+   +------+
  | - Run unit tests    |   | - Lint with fix  |   | Check|
  |   for affected pkgs |   | - Build affected |   | README|
  | - Verify integ test |   |   packages       |   | needs|
  |   files exist and   |   |                  |   | update|
  |   are well-formed   |   |                  |   |      |
  | - Dry-run integ     |   |                  |   |      |
  |   snapshot check    |   |                  |   |      |
  +---------------------+   +------------------+   +------+
        |                  |                  |
        +------------------+------------------+
                           |
                    04-validation.md

Kicking off now...

Then proceed immediately without waiting for a response.

Run all three tasks in parallel. You MUST NOT wait for one to finish before starting the next — because they are independent and running them concurrently reduces wall-clock time.

  • TEST task (see references/test-engineer-sop.md for exact commands):
    • Run unit tests for all affected packages
    • Integ tests:
      1. Check if new or updated integ test files exist (compare against 02-solution.md plan)
      2. If YES — deploy and regenerate snapshots on those files
      3. If NO — run integ on the relevant module to confirm existing snapshots are intact
  • QA checks (see references/quality-assurance-sop.md for lint and build commands)
  • Documentation updates

When all three tasks have succeeded, summarize the testing, QA and documentation details in .contributions/<ISSUE_NUMBER>/04-validation.md.

Phase 5: Self Review

STEP 0 — READ SOPs (non-negotiable, do this FIRST):

You MUST read ALL THREE of these files before ANY other action in this phase:

  1. references/security-reviewer-sop.md - provides instructions for the security review task. Required deliverable: security-review.md.
  2. references/regression-reviewer-sop.md - provides instructions for the regression review task. Required deliverable: regression-review.md
  3. references/review-report-generator-sop.md - provides instructions for creating the final review report. Required deliverable: 05-review.md

After reading, confirm you understand the required deliverables and procedures.

STEP 1

Before doing anything, present this summary to the user:

text
PHASE 5: SELF REVIEW
=====================

Here's what I'm about to do (both run in parallel):

  +------------------+     +------------------+
  |    SECURITY      |     |   REGRESSION     |
  |     REVIEW       |     |     REVIEW       |
  +------------------+     +------------------+
  | - IAM/policy     |     | - Snapshot diff  |
  |   impact check   |     | - API surface    |
  |   check          |     |   breaking change|
  | - Secrets/creds  |     | - Existing test  |
  |   exposure check |     |   coverage gaps  |
  | - CDK nag rules  |     | - CloudFormation |
  +------------------+     |   drift risk     |
           |               +------------------+
           +--------+--------+
                    |
             05-review.md
                    |
                    v
          SYNTHESIZE GO/NO-GO

Kicking off now...

Then proceed immediately without waiting for a response.

Run both tasks in parallel. You MUST NOT wait for one to finish before starting the next — because security and regression reviews are independent analyses.

Synthesize findings into a go/no-go report in .contributions/<ISSUE_NUMBER>/05-review.md and present to user before PR submission.

Phase 6: PR Submission

After the user approves the go/no-go report, commit and create the PR.

MANDATORY: Every PR description body MUST end with this marker line:

[comment]: <> (by cdk-contribution-skill)

This is a hidden Markdown comment that identifies PRs created via this workflow. It MUST be the last line of the PR body. Do NOT omit it.


Prerequisites

  • Local clone of aws-cdk repository
  • Node.js v18+, Yarn
  • gh CLI (preferred for issue analysis) — gh auth login must be completed
  • GitHub MCP server (fallback if gh CLI is unavailable)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Cdk Contribution Skill AI skill do?

Guide AWS CDK contributions from GitHub issue analysis to PR-ready code. Use when contributing to aws-cdk repository, analyzing CDK issues, implementing fixes, or preparing pull requests.

Why use Cdk Contribution Skill on TypingMind?

Because you install it once and use it with any model. Cdk Contribution Skill is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cdk Contribution Skill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cdklabs/cdk-contribution-skill/tree/main/cdk-contribution-skill. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Cdk Contribution Skill?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cdk Contribution Skill?

As many as you like. As long as a model supports skills, you can use Cdk Contribution Skill with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cdk Contribution Skill AI skill free?

Yes. It is published on GitHub by cdklabs under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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