dwmkerr

ark-analysis

@dwmkerr/ark-analysis
dwmkerr
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Updated 1/6/2026
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Analyze the Ark codebase by cloning the repository to a temporary location. Use this skill when the user asks questions about how Ark works, wants to understand Ark's implementation, or needs to examine Ark source code.

Installation

$skills install @dwmkerr/ark-analysis
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Codex
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Details

Pathexamples/ark/claude-defaults/skills/ark-analysis/SKILL.md
Branchmain
Scoped Name@dwmkerr/ark-analysis

Usage

After installing, this skill will be available to your AI coding assistant.

Verify installation:

skills list

Skill Instructions


name: Ark Analysis description: Analyze the Ark codebase by cloning the repository to a temporary location. Use this skill when the user asks questions about how Ark works, wants to understand Ark's implementation, or needs to examine Ark source code.

Ark Analysis

This skill helps you analyze the Ark codebase by cloning the repository and examining its contents.

When to use this skill

Use this skill when:

  • User asks "how does X work in Ark?"
  • User wants to understand Ark's architecture or implementation
  • User needs to examine Ark source code, CRDs, or controllers
  • User mentions analyzing the Ark repository

Quick start

Clone the Ark repository to a temporary location:

git clone https://github.com/mckinsey/agents-at-scale-ark /tmp/ark-analysis
cd /tmp/ark-analysis

Codebase structure

The Ark repository is organized as follows:

  • ark/ - Kubernetes operator (Go)

    • Controllers managing AI resources
    • Custom Resource Definitions (CRDs)
    • Webhooks for validation
  • services/ - Supporting services (Go, Python, TypeScript)

    • postgres-memory/ - Memory persistence
    • executor-langchain/ - LangChain execution engine
    • ark-api/ - REST API
    • ark-evaluator/ - Model evaluation
  • samples/ - Example configurations (YAML)

    • Agent definitions and queries
    • Multi-agent teams
    • A2A server examples
  • docs/ - Documentation site (Next.js)

Common analysis tasks

Find controllers

ls ark/internal/controller/
grep -r "Reconcile" ark/internal/controller/

Find CRDs

ls ark/config/crd/bases/
grep -r "kind: Agent" samples/

Find A2A implementations

find . -path "*/a2a*" -type f
grep -r "A2AServer" .

Search for specific features

# Use ripgrep or grep to search
rg "query controller" --type go
grep -r "team coordination" --include="*.go"

Best practices

  1. Clone to /tmp: Always clone to /tmp/ark-analysis to avoid cluttering the workspace
  2. Navigate first: cd /tmp/ark-analysis before running analysis commands
  3. Use search tools: Prefer rg (ripgrep) or grep for code searches
  4. Check CLAUDE.md: Look for project-specific guidance in CLAUDE.md files
  5. Clean up: Optionally remove the temp directory when done: rm -rf /tmp/ark-analysis

Example workflows

Analyzing a controller

git clone https://github.com/mckinsey/agents-at-scale-ark /tmp/ark-analysis
cd /tmp/ark-analysis
cat ark/internal/controller/query_controller.go
grep -r "ExecuteQuery" ark/internal/genai/

Understanding A2A integration

cd /tmp/ark-analysis
find samples/a2a -name "*.py"
cat samples/a2a/simple-agent/src/simple_a2a_server/main.py
cat docs/content/developer-guide/building-a2a-servers.mdx

Finding CRD specifications

cd /tmp/ark-analysis
ls ark/api/v1prealpha1/
cat ark/api/v1prealpha1/agent_types.go