foundry-works
Official@foundry-works
Offers structured engineering oversight, implementation planning, and code quality analysis through LSP-based reference tracking and specification fidelity verification.
Agent Skills by foundry-works
Showing 9 vetted skills indexed across 1 GitHub repositories.
foundry-worksfoundry-implement
Generate auditable implementation plans from specifications using Foundry MCP tooling.
foundry-worksfoundry-test
Guide debugging of failing tests through a five-phase investigation workflow across pytest, Go test, and jest suites.
foundry-worksfoundry-note
Capture ideas and issues into a persistent intake queue via MCP-based actions.
foundry-worksfoundry-pr
Generate PR descriptions from spec metadata, tasks, and git history.
foundry-worksfoundry-review
Identify implementation deviations from specifications using LSP and MCP fidelity analysis.
foundry-worksfoundry-spec
Manage your to-do list with voice commands, reminders, and smart scheduling.
foundry-worksfoundry-setup
Automate initial Foundry plugin configuration for Claude Code.
foundry-worksfoundry-research
Run structured research workflows with persistent threads and auditable decision journaling.
foundry-worksfoundry-refactor
Refactor code across files using LSP-based reference analysis.
Frequently Asked Questions About foundry-works
FAQPage SchemaWhat specific engineering tasks does foundry-works enable?▼
Foundry-works enables auditable implementation planning, automated pull request description generation, and systematic debugging of test suites. It facilitates code refactoring through reference analysis and ensures implementation consistency by comparing source code against defined technical specifications using fidelity analysis.
Which technical personas benefit most from these capabilities?▼
Software engineers, quality assurance leads, and technical project managers benefit from these capabilities. The system is designed for developers managing complex codebases who require structured debugging, consistent documentation of changes, and rigorous adherence to technical specifications during the development lifecycle.
What are the primary dependencies for running these implementations?▼
The system requires an environment configured for Claude Code and support for Language Server Protocol (LSP) integration. It relies on existing test frameworks including pytest, Go test, and jest to perform its diagnostic and debugging functions across multi-language repositories.