Use AI coding agents and exploration mode to generate TestDriver tests
npx skills add https://github.com/testdriverai/testdriverai --skill testdriver:generating-tests
<!-- Generated from generating-tests.mdx. DO NOT EDIT. -->
We recommend starting with our quickstart then supplying your coding agent with our agent instructions file.
<Card title="TestDriver Agent Instructions" icon="link" arrow="true" horizontal href="https://github.com/testdriverai/testdriverai/blob/main/ai/agents/testdriver.md?plain=1">
Copy the current version of our agent instructions to provide your coding agent with up-to-date instructions on how to generate TestDriver tests.
</Card>
Then, you can prompt your coding agent to generate tests. Here is an example prompt:
Make me a TestDriver test that does the following steps:
Navigate to practicetestautomation.com
Type username student into Username field
Type password Password123 into Password field
Push Submit button
Verify new page contains expected text 'logged in'
Multi-agent autonomous startup system for Claude Code. Triggers on "Loki Mode". Orchestrates 100+ specialized agents across engineering, QA, DevOps, security, data/ML, business operations, marketing, HR, and customer success. Takes PRD to fully deployed, revenue-generating product with zero human intervention. Features Task tool for subagent dispatch, parallel code review with 3 specialized reviewers, severity-based issue triage, distributed task queue with dead letter handling, automatic deployment to cloud providers, A/B testing, customer feedback loops, incident response, circuit breakers, and self-healing. Handles rate limits via distributed state checkpoints and auto-resume with exponential backoff. Requires --dangerously-skip-permissions flag.
Use when working with error debugging multi agent review
Build evaluation frameworks for agent systems. Use when testing agent performance systematically, validating context engineering choices, or measuring improvements over time.
Diagnoses and debugs A2A agent communication issues including agent status, message routing, transport connectivity, and log analysis. Use when agents aren't responding, messages aren't being delivered, routing is incorrect, or when debugging orchestrator, coder-agent, tester-agent communication problems.
Use when working with error debugging multi agent review
Rapidly creates atomic, focused skills optimized with evidence-based prompting, specialist agents, and systematic testing. Each micro-skill does one thing exceptionally well using self-consistency, program-of-thought, and plan-and-solve patterns. Enhanced with agent-creator principles and functionality-audit validation. Perfect for building composable workflow components.
Ultimate multi-agent framework for Google Antigravity. Orchestrates specialized domain agents (PM, Frontend, Backend, Mobile, QA, Debug) via Serena Memory.
This skill should be used when the user asks to "evaluate agent performance", "build test framework", "measure agent quality", "create evaluation rubrics", or mentions LLM-as-judge, multi-dimensional evaluation, agent testing, or quality gates for agent pipelines.
Take testdriverai/testdriverai-testdriver:generating-tests from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.