techwavedev Infinite Gratitude
Source: sstklen/infinite-gratitude
Description
A multi-agent research skill designed for parallel research execution. It orchestrates 10 agents to conduct deep research, battle-tested with real case studies.
When to Use
Use this skill when you need to perform extensive, parallelized research on a topic, leveraging multiple agents to gather and synthesize information more efficiently than a single linear process.
How to Use
This is an external skill. Please refer to the official repository for installation and usage instructions.
git clone https://github.com/sstklen/infinite-gratitude
AGI Framework Integration
Adapted for @techwavedev/agi-agent-kit Original source: antigravity-awesome-skills
Memory-First Protocol
Retrieve prior test strategies, known flaky tests, and coverage gaps. Cache test infrastructure setup to avoid re-configuring test environments.
# Check for prior testing/QA context before starting
python3 execution/memory_manager.py auto --query "test patterns and coverage strategies for Infinite Gratitude"
Storing Results
After completing work, store testing/QA decisions for future sessions:
python3 execution/memory_manager.py store \
--content "Testing strategy: integration tests hit real DB (no mocks), 85% line coverage, mutation testing on critical paths" \
--type technical --project <project> \
--tags infinite-gratitude testing
Multi-Agent Collaboration
Share test results and coverage reports with code review agents so they can verify adequate coverage on changed code.
python3 execution/cross_agent_context.py store \
--agent "<your-agent>" \
--action "QA complete — test suite expanded with 12 new integration tests, all passing" \
--project <project>
TDD Enforcement
This skill integrates with the framework's iron-law RED-GREEN-REFACTOR cycle. No production code without a failing test first.
Agent Team: QA
Dispatch qa_team to generate tests and verify they pass before marking implementation complete.