wsauret/flywheel

A greatest-hits coding agent in a beautiful terminal UI

14Stars on the repository
33Mods indexed here, across every type
4d agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

analyzer-codebase

01

wsauret/flywheel

Agent

Understand HOW code works. Reads specific files (from locator results) and documents implementation details. Documentarian mode - no suggestions.

14 4d ago A 30 tokens original MIT

analyzer-docs

02

wsauret/flywheel

Agent

Extract insights from documentation. Given paths from locator-docs, reads and synthesizes key information.

14 4d ago A 24 tokens original MIT

wsauret/flywheel

Agent

Analyze git history to understand code evolution, trace origins of patterns, identify contributors, and extract development insights. Documentarian mode - no suggestions.

14 4d ago A 34 tokens original MIT

analyzer-patterns

04

wsauret/flywheel

Agent

Extract code examples with context. Given file:line references from locator-patterns, reads and documents the patterns.

14 4d ago A 27 tokens original MIT

analyzer-web

05

wsauret/flywheel

Agent

Fetch and analyze web content deeply. Given URLs from locator-web, retrieves and extracts relevant information.

14 4d ago A 23 tokens original MIT

locator-codebase

06

wsauret/flywheel

Agent

Find WHERE files and components live in the codebase. Returns paths only - no file contents. Use for initial discovery before deep analysis.

14 4d ago A 31 tokens original MIT

locator-docs

07

wsauret/flywheel

Agent

Find WHERE documentation lives. Searches README, CLAUDE.md, docs/, and inline comments.

14 4d ago A 23 tokens original MIT

locator-patterns

08

wsauret/flywheel

Agent

Find WHERE specific patterns exist in the codebase. Returns file:line references without reading full contents.

14 4d ago A 24 tokens original MIT

locator-web

09

wsauret/flywheel

Agent

Find relevant URLs and summaries from web search. Returns URLs with descriptions - does not fetch full content.

14 4d ago A 23 tokens original MIT

wsauret/flywheel

Agent

Use this agent when you need to analyze code changes from an architectural perspective, evaluate system design decisions, or ensure that modifications align with established architectural patterns. This includes reviewing pull requests for architectural compliance, assessing the impact of new features on system…

14 4d ago A 239 tokens original MIT

wsauret/flywheel

Agent

Reviews code with an extremely high quality bar. Invoke after implementing features, modifying existing code, or creating new modules/components to ensure code meets exceptional standards for type safety, patterns, and maintainability. Loads language-specific standards (Python, TypeScript, SQL) on demand via the…

14 4d ago A 66 tokens original MIT

wsauret/flywheel

Agent

Use this agent when you need to review database migrations, data models, or any code that manipulates persistent data. This includes checking migration safety, validating data constraints, ensuring transaction boundaries are correct, and verifying that referential integrity and privacy requirements are maintained.…

14 4d ago A 253 tokens original MIT

reviewer-elegance

13

wsauret/flywheel

Agent

Use this agent to review plans or code for design elegance: single source of truth, working with the grain of the tools, no ceremony, no indirection without depth. For plans, evaluates whether the design is the simplest, most natural solution before code is written. TDD, SOLID, and DRY are heuristics in service of…

14 4d ago A 178 tokens original MIT

reviewer-patterns

14

wsauret/flywheel

Agent

Checks whether code follows the project's established conventions, matches codebase norms, and avoids duplicating existing utilities. Use after implementing features to verify consistency with the rest of the codebase. Context: After implementing a new feature, the user wants to ensure it follows established…

14 4d ago A 137 tokens original MIT

wsauret/flywheel

Agent

Use this agent when you need to analyze code for performance issues, optimize algorithms, identify bottlenecks, or ensure scalability. This includes reviewing database queries, memory usage, caching strategies, and overall system performance. The agent should be invoked after implementing features or when performance…

14 4d ago A 345 tokens original MIT