polyglot-test-agent▌
github/awesome-copilot · updated May 27, 2026
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Multi-agent pipeline that generates compilable, passing unit tests across eight programming languages.
- ›Orchestrates a Research → Plan → Implement workflow: researcher analyzes the codebase, planner creates phased test strategy, implementer writes and validates tests across phases
- ›Supports C#, TypeScript, JavaScript, Python, Go, Rust, Java, and more; auto-detects language, testing framework, build commands, and project structure
- ›Includes builder, tester, fixer, and linter subagents th
Polyglot Test Generation Skill
An AI-powered skill that generates comprehensive, workable unit tests for any programming language using a coordinated multi-agent pipeline.
When to Use This Skill
Use this skill when you need to:
- Generate unit tests for an entire project or specific files
- Improve test coverage for existing codebases
- Create test files that follow project conventions
- Write tests that actually compile and pass
- Add tests for new features or untested code
How It Works
This skill coordinates multiple specialized agents in a Research → Plan → Implement pipeline:
Pipeline Overview
┌─────────────────────────────────────────────────────────────┐
│ TEST GENERATOR │
│ Coordinates the full pipeline and manages state │
└─────────────────────┬───────────────────────────────────────┘
│
┌─────────────┼─────────────┐
▼ ▼ ▼
┌───────────┐ ┌───────────┐ ┌───────────────┐
│ RESEARCHER│ │ PLANNER │ │ IMPLEMENTER │
│ │ │ │ │ │
│ Analyzes │ │ Creates │ │ Writes tests │
│ codebase │→ │ phased │→ │ per phase │
│ │ │ plan │ │ │
└───────────┘ └───────────┘ └───────┬───────┘
│
┌─────────┬───────┼───────────┐
▼ ▼ ▼ ▼
┌─────────┐ ┌───────┐ ┌───────┐ ┌───────┐
│ BUILDER │ │TESTER │ │ FIXER │ │LINTER │
│ │ │ │ │ │ │ │
│ Compiles│ │ Runs │ │ Fixes │ │Formats│
│ code │ │ tests │ │ errors│ │ code │
└─────────┘ └───────┘ └───────┘ └───────┘
Step-by-Step Instructions
Step 1: Determine the User Request
Make sure you understand what user is asking and for what scope. When the user does not express strong requirements for test style, coverage goals, or conventions, source the guidelines from unit-test-generation.prompt.md. This prompt provides best practices for discovering conventions, parameterization strategies, coverage goals (aim for 80%), and language-specific patterns.
Step 2: Invoke the Test Generator
Start by calling the polyglot-test-generator agent with your test generation request:
Generate unit tests for [path or description of what to test], following the [unit-test-generation.prompt.md](unit-test-generation.prompt.md) guidelines
The Test Generator will manage the entire pipeline automatically.
Step 3: Research Phase (Automatic)
The polyglot-test-researcher agent analyzes your codebase to understand:
- Language & Framework: Detects C#, TypeScript, Python, Go, Rust, Java, etc.
- Testing Framework: Identifies MSTest, xUnit, Jest, pytest, go test, etc.
- Project Structure: Maps source files, existing tests, and dependencies
- Build Commands: Discovers how to build and test the project
Output: .testagent/research.md
Step 4: Planning Phase (Automatic)
The polyglot-test-planner agent creates a structured implementation plan:
- Groups files into logical phases (2-5 phases typical)
- Prioritizes by complexity and dependencies
- Specifies test cases for each file
- Defines success criteria per phase
Output: .testagent/plan.md
Step 5: Implementation Phase (Automatic)
The polyglot-test-implementer agent executes each phase sequentially:
- Read source files to understand the API
- Write test files following project patterns
- Build using the
polyglot-test-buildersubagent to verify compilation - Test using the
polyglot-test-testersubagent to verify tests pass - Fix using the
polyglot-test-fixersubagent if errors occur - Lint using the
polyglot-test-lintersubagent for code formatting
Each phase completes before the next begins, ensuring incremental progress.
Coverage Types
- Happy path: Valid inputs produce expected outputs
- Edge cases: Empty values, boundaries, special characters
- Error cases: Invalid inputs, null handling, exceptions
State Management
All pipeline state is stored in .testagent/ folder:
| File | Purpose |
|---|---|
.testagent/research.md |
Codebase analysis results |
.testagent/plan.md |
Phased implementation plan |
.testagent/status.md |
Progress tracking (optional) |
Examples
Example 1: Full Project Testing
Generate unit tests for my Calculator project at C:\src\Calculator
Example 2: Specific File Testing
Generate unit tests for src/services/UserService.ts
Example 3: Targeted Coverage
Add tests for the authentication module with focus on edge cases
Agent Reference
| Agent | Purpose | Tools |
|---|---|---|
polyglot-test-generator |
Coordinates pipeline | runCommands, codebase, editFiles, search, runSubagent |
polyglot-test-researcher |
Analyzes codebase | runCommands, codebase, editFiles, search, fetch, runSubagent |
polyglot-test-planner |
Creates test plan | codebase, editFiles, search, runSubagent |
polyglot-test-implementer |
Writes test files | runCommands, codebase, editFiles, search, runSubagent |
polyglot-test-builder |
Compiles code | runCommands, codebase, search |
polyglot-test-tester |
Runs tests | runCommands, codebase, search |
polyglot-test-fixer |
Fixes errors | runCommands, codebase, editFiles, search |
polyglot-test-linter |
Formats code | runCommands, codebase, search |
Requirements
- Project must have a build/test system configured
- Testing framework should be installed (or installable)
- VS Code with GitHub Copilot extension
Troubleshooting
Tests don't compile
The polyglot-test-fixer agent will attempt to resolve compilation errors. Check .testagent/plan.md for the expected test structure.
Tests fail
Review the test output and adjust test expectations. Some tests may require mocking dependencies.
Wrong testing framework detected
Specify your preferred framework in the initial request: "Generate Jest tests for..."
How to use polyglot-test-agent on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add polyglot-test-agent
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches polyglot-test-agent from GitHub repository github/awesome-copilot and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate polyglot-test-agent. Access the skill through slash commands (e.g., /polyglot-test-agent) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★51 reviews- ★★★★★Dhruvi Jain· Dec 28, 2024
Registry listing for polyglot-test-agent matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Anaya Menon· Dec 24, 2024
polyglot-test-agent has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Kwame Ghosh· Dec 8, 2024
polyglot-test-agent fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Pratham Ware· Dec 4, 2024
polyglot-test-agent has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Evelyn Sanchez· Dec 4, 2024
Keeps context tight: polyglot-test-agent is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Anika Menon· Dec 4, 2024
Registry listing for polyglot-test-agent matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Kabir Bhatia· Nov 27, 2024
We added polyglot-test-agent from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Lucas Wang· Nov 23, 2024
Useful defaults in polyglot-test-agent — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Kabir Flores· Nov 23, 2024
I recommend polyglot-test-agent for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Layla Jackson· Nov 23, 2024
polyglot-test-agent reduced setup friction for our internal harness; good balance of opinion and flexibility.
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