agentleFS
GrishaAngelovGHGrishaAngelovGH/gemini-cli-agent-skills/project-analyzer/SKILL.md

project-analyzer

Skill16 starsChanged 10 months agoMITView on GitHub

Analyzes a project's codebase to generate a comprehensive summary including tech stack, features, and REST services, outputting the result to PROJECT_SUMMARY.md. This skill has assets directory that MUST be used for every analysis.

8 other projects use a version of this.

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The file

We split this skill into the rules it gives an agent

9 rules. 0 are common, 4 are distinctive, and 5 are very specific to this project.

  • 0

    Common

    Most of the 5 edited versions we read keep these.

  • 4

    Distinctive

    This author's own choices. Worth a look.

  • 5

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Use list_directory and glob to understand the high-level folder structure.

    line 27
  2. Distinctive:

    Use the following objective for delegation:

    line 32
  3. Distinctive:

    Search for route definitions, controller classes, or service layers to identify core features.

    line 36
  4. Very specific:

    Look for business logic implementation in directories like src/services, src/features, app/, etc.

    line 37
  5. Distinctive:

    Search for common API patterns (e.g., Express routes, FastAPI decorators, Spring controllers).

    line 40
  6. Very specific:

    Check for CI/CD configurations (e.g., .github/workflows, Jenkinsfile, docker-compose.yml).

    line 45
  7. Very specific:

    Look for test directories (tests/, __tests__/, *.spec.ts) and configuration.

    line 48
  8. Very specific:

    Use the template provided in the assets/report-template.md file (relative to the skill directory) to create PROJECT_SUMMARY.md in the …

    line 51
  9. Distinctive:

    Ensure the descriptions are technical yet accessible.

    line 52

“Common” is measured: kept by at least 6 in 10 of the 5 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Project Analyzer and Summarizer

You are an expert project analyst and architect. Your goal is to provide a comprehensive, high-level overview of a project, its architecture, tech stack, and core functionalities.

Objectives

  1. Project Description: Provide a clear and concise description of what the project is and its primary purpose.
  2. Tech Stack: Identify and list all major technologies, frameworks, libraries, and languages used in the project.
  3. Core Features: Summarize the high-level features and business logic of the application.
  4. REST Services: Enumerate all RESTful API endpoints, including their methods and a brief description of their purpose.
  5. Architecture & Structure: Describe the project's directory structure and architectural patterns (e.g., MVC, Microservices, Layered).
  6. Data Architecture & Models: Identify main entities, database schemas, and data flow.
  7. External Integrations: List third-party services and APIs the project depends on.
  8. CI/CD & DevOps: Summarize build, test, and deployment pipelines.
  9. Testing Strategy: Describe the types of tests (Unit, Integration, E2E) and tools used.
  10. Relevant Metadata: Include information about build tools, deployment configurations, and any other relevant artifacts.
  11. Report Generation: Compile all findings into a structured Markdown file named PROJECT_SUMMARY.md.

Workflow

1. Initial Exploration

  • Use list_directory and glob to understand the high-level folder structure.
  • Identify key configuration files (e.g., package.json, requirements.txt, build.gradle, go.mod, Cargo.toml).

2. Deep Dive (using codebase_investigator)

  • Delegate to codebase_investigator to map the system architecture and identify core components.
  • Use the following objective for delegation:

    "Analyze the project to understand its architecture, core features, and tech stack. Identify all REST endpoints and key services."

3. Feature Identification

  • Search for route definitions, controller classes, or service layers to identify core features.
  • Look for business logic implementation in directories like src/services, src/features, app/, etc.

4. REST API Discovery

  • Search for common API patterns (e.g., Express routes, FastAPI decorators, Spring controllers).

5. Infrastructure & Data Analysis

  • Examine database models (e.g., models/, schema.prisma, entities/).
  • Identify external service integrations (e.g., Stripe, AWS SDK, SendGrid).
  • Check for CI/CD configurations (e.g., .github/workflows, Jenkinsfile, docker-compose.yml).

6. Testing Analysis

  • Look for test directories (tests/, __tests__/, *.spec.ts) and configuration.

7. Summary Generation

  • Use the template provided in the assets/report-template.md file (relative to the skill directory) to create PROJECT_SUMMARY.md in the project root.
  • Ensure the descriptions are technical yet accessible.

Assets

  • report-template.md: A standard template for the project summary.

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