lambdamechanic
Official@lambdamechanic
Offers rigorous engineering standards, repository scaffolding, and structural verification for typed Rust, TypeScript, and Python development environments.
Agent Skills by lambdamechanic
Showing 16 vetted skills indexed across 4 GitHub repositories.
lambdamechaniczfc
Orchestrate AI reasoning with structural safety checks and policy enforcement.
lambdamechanicpython
Initialize typed Python Lambda projects with uv, Pydantic, and Hypothesis testing.
lambdamechanicgalahad
Enforce testing discipline and type safety in code reviews and CI gates.
lambdamechanicbd-to-br-migration
Migrate documentation from bd to br workflows with deterministic transforms.
lambdamechanicbeads
Track issues with git-backed persistence and dependency relationships.
lambdamechanictooltest-fix-loop
Run tooltest iteratively against MCP servers until exit code 0.
lambdamechaniclanding-the-plane
Automate verification of code completion and readiness for review in Git-based workflows.
lambdamechanicstarting-the-task
Automate the bd issue kickoff with baseline tests, feature branch, draft PR, and tracker updates.
lambdamechanictypescript
Sets up a TypeScript Lambda monorepo with pnpm workspaces and Turborepo tasks.
lambdamechanicrust-guidelines
Provide pragmatic Rust guidelines for AI-assisted coding and API design.
lambdamechanictesting-patterns
Generate Rust effect abstraction test patterns with injectable traits and proptest.
lambdamechaniclambda-workflow
Automate Lambda repository delivery from task selection through PR merge.
lambdamechanictemplate-skill
Generates scaffolded Skill directories with starter README files.
lambdamechanicdumbwaiter-mcp
Wait for GitHub PR conditions using the Dumbwaiter MCP server.
lambdamechanicbd-workflow
Manage issue tracking with dependency-aware beads and JSON export.
lambdamechanicsk
Install, audit, and sync Claude Skills with the sk CLI.
Frequently Asked Questions About lambdamechanic
FAQPage SchemaWhat specific engineering tasks does lambdamechanic enable?▼
Lambdamechanic enables rigorous project initialization, structural testing, and issue lifecycle management. It provides patterns for Rust effect abstraction, TypeScript monorepo configuration, and Python project setup using uv and Hypothesis, ensuring type safety and consistent repository delivery from task kickoff through pull request verification.
Which personas benefit most from these repository standards?▼
Senior software engineers and technical leads focused on maintaining high-integrity codebases benefit most. These resources are designed for developers who prioritize type safety, deterministic testing patterns, and structured repository management within Rust, TypeScript, and Python ecosystems to reduce technical debt and improve review readiness.
What are the prerequisites for implementing these repository patterns?▼
Implementation requires a Git-based environment and familiarity with modern package managers like pnpm or uv. Users should have existing knowledge of Rust traits, TypeScript monorepo structures, and Pydantic models, as these patterns rely on specific language-level features to enforce the provided testing and structural guidelines.