Back to list
zlyv587

project-analysis

by zlyv587

0🍴 0📅 Jan 23, 2026

SKILL.md


name: Project Analysis description: This skill should be used when the user asks to "analyze this project", "what type of project is this", "detect project structure", "understand this codebase", or when Claude needs to determine project type for documentation purposes. Provides patterns for identifying project types and analyzing codebase structure. version: 0.1.0

Project Analysis

Analyze codebases to detect project type, structure, and key components for documentation purposes.

Project Type Detection

Identify project type by checking for signature files in priority order:

Infrastructure Projects

Indicator FilesProject Type
argocd/, */Application.yamlArgoCD GitOps
helm/, Chart.yamlHelm Charts
manifests/, *.yaml with kind:Kubernetes
*.tf, terraform/Terraform
ansible/, playbook*.ymlAnsible

Analysis focus: Namespaces, services, deployments, ingress, storage classes, node selectors.

Code Projects

Indicator FilesProject Type
package.jsonNode.js (check for framework: next, react, express)
pyproject.toml, setup.py, requirements.txtPython
go.modGo
pom.xmlJava Maven
build.gradleJava Gradle
Cargo.tomlRust

Analysis focus: Dependencies, scripts, entry points, test configuration.

Monorepo Detection

Indicator FilesMonorepo Type
nx.jsonNx
turbo.jsonTurborepo
lerna.jsonLerna
pnpm-workspace.yamlpnpm Workspaces
packages/, apps/ directoriesGeneric Monorepo

Analysis focus: Workspace packages, shared dependencies, build order.

Analysis Workflow

To analyze a project:

  1. Scan root directory for indicator files using Glob tool
  2. Identify primary type from highest-priority match
  3. Detect secondary characteristics (testing framework, CI/CD, containerization)
  4. Extract key metrics:
    • For infra: service count, namespace count, storage classes
    • For code: dependency count, script count, test coverage config
    • For monorepo: package count, shared dependencies

Detection Commands

Use these Glob patterns for quick detection:

# Infrastructure
**/Chart.yaml
**/Application.yaml
**/*.tf
**/kustomization.yaml

# Code projects
package.json
pyproject.toml
go.mod
pom.xml
Cargo.toml

# Monorepo
nx.json
turbo.json
lerna.json
pnpm-workspace.yaml

Output Format

Report project analysis as structured data:

Project Type: [Primary Type]
Secondary: [Framework, CI/CD, Container]
Key Components:
  - [Component 1]: [Count/Details]
  - [Component 2]: [Count/Details]
Files Analyzed: [Count]

Additional Resources

Reference Files

For detailed analysis patterns per project type:

  • references/infra-analysis.md - Kubernetes, ArgoCD, Helm analysis patterns
  • references/code-analysis.md - Language-specific analysis patterns

Score

Total Score

50/100

Based on repository quality metrics

SKILL.md

SKILL.mdファイルが含まれている

+20
LICENSE

ライセンスが設定されている

0/10
説明文

100文字以上の説明がある

0/10
人気

GitHub Stars 100以上

0/15
最近の活動

3ヶ月以内に更新がある

0/10
フォーク

10回以上フォークされている

0/5
Issue管理

オープンIssueが50未満

+5
言語

プログラミング言語が設定されている

+5
タグ

1つ以上のタグが設定されている

0/5

Reviews

💬

Reviews coming soon