ark-analysis
Clones and provides structural analysis of the Ark project codebase.
Install
mkdir -p .claude/skills/ark-analysis && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/9393" && unzip -o skill.zip -d .claude/skills/ark-analysis && rm skill.zipInstalls to .claude/skills/ark-analysis
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
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.Key capabilities
- →Clone Ark repository to temporary environments
- →Navigate Kubernetes operator and executor source code
- →Search for CRD definitions and controller logic
- →Examine A2A protocol implementations
- →Analyze component services like API and broker
How it works
The skill clones the Ark repository into a temporary directory and provides search and navigation commands to explore the codebase structure, controllers, and CRDs.
Inputs & outputs
When to use ark-analysis
- →Understand Ark architecture
- →Find controllers in Ark
- →Examine CRD definitions
About this skill
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 [email protected]:mckinsey/agents-at-scale-ark.git /tmp/ark-analysis
cd /tmp/ark-analysis
Codebase structure
The Ark repository is organized as follows:
-
ark/- Kubernetes operator and default executor (Go)- Controller dispatches queries to executors via A2A protocol
- CRDs: Agent, Model, Query, Team, MCPServer, ExecutionEngine, A2AServer
executors/completions/- Built-in default execution engine
-
lib/ark-sdk/- Python SDK (generated + overlay)BaseExecutorABC andExecutorAppfor pluggable executor interface
-
services/- Component servicesark-api/- REST API gateway (Python/FastAPI)ark-broker/- In-memory event bus (Node.js/Express)ark-dashboard/- Web UI (Next.js/React)
-
samples/- Example YAML configurations -
docs/- Documentation site (Next.js/MDX)
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
- Clone to /tmp: Always clone to
/tmp/ark-analysisto avoid cluttering the workspace - Navigate first:
cd /tmp/ark-analysisbefore running analysis commands - Use search tools: Prefer
rg(ripgrep) orgrepfor code searches - Check CLAUDE.md: Look for project-specific guidance in
CLAUDE.mdfiles - Clean up: Optionally remove the temp directory when done:
rm -rf /tmp/ark-analysis
Example workflows
Analyzing a controller
git clone [email protected]:mckinsey/agents-at-scale-ark.git /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/v1alpha1/
cat ark/api/v1alpha1/agent_types.go
When not to use it
- →When the user does not need to examine Ark source code
- →When working with non-Ark Kubernetes operators
Limitations
- →Requires cloning the repository to a temporary location
- →Limited to the Ark codebase
How it compares
Instead of manual repository exploration, this provides a standardized workflow for analyzing specific Ark components and patterns.
Compared to similar skills
ark-analysis side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| ark-analysis (this skill) | 0 | 4mo | Review | Beginner |
| architecture-patterns | 55 | 2mo | No flags | Advanced |
| backend-expert | 0 | 1mo | No flags | Advanced |
| temporal | 0 | 3mo | Review | Advanced |
Try saying
Example prompts that trigger this skill in your AI assistant.
More by mckinsey
View all by mckinsey →You might also like
architecture-patterns
wshobson
Implement proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design. Use when architecting complex backend systems or refactoring existing applications for better maintainability.
backend-expert
FlavioProgramador
Advanced backend engineering guidelines focusing on clean architecture, API standards, performance, asynchronous jobs, and clean code principles.
temporal
TerminalSkills
>-
auth-http-api-cloudbase
TencentCloudBase
Use when you need to implement CloudBase Auth v2 over raw HTTP endpoints (login/signup, tokens, user operations) from backends or scripts that are not using the Web or Node SDKs.
generating-grpc-services
jeremylongshore
Generate gRPC service definitions, stubs, and implementations from Protocol Buffers. Use when creating high-performance gRPC services. Trigger with phrases like "generate gRPC service", "create gRPC API", or "build gRPC server".
API service
TheBearIsOne
Use this skill when: - adding HTTP endpoints; - defining request and response models; - wiring document generation into an API surface; - shaping controller, route, or handler behavior.