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By Terryc21
After you fix a bug, find and rate other instances of the same pattern in the codebase. Two modes: inferred from your recent fix (self-validates the constructed pattern against the pre-fix file before scanning) or user-described. Each match is read in context and classified individually as BUG / WATCH / OK / REVIEW with severity, fix effort, and blast-radius columns. Pattern matching after a real fix is dramatically more accurate than pattern matching from a theoretical catalog.
npx claudepluginhub terryc21/bug-echo --plugin bug-echoShare bugs, ideas, or general feedback.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Plugin-safe Claude Code distribution of Antigravity Awesome Skills with 1,443 supported skills.
Core skills library for Claude Code: TDD, debugging, collaboration patterns, and proven techniques
Tools to maintain and improve CLAUDE.md files - audit quality, capture session learnings, and keep project memory current.
Reliable automation, in-depth debugging, and performance analysis in Chrome using Chrome DevTools and Puppeteer
Claude Code skills for Godot 4.x game development - GDScript patterns, interactive MCP workflows, scene design, and shaders
SwiftUI workflow audit — find dead ends, broken promises, and UX friction. Bundled with a phased plan generator.
Use when reviewing a Claude Code skill, auditing skill quality before publish, or asking "is this skill any good?". Produces structured reports with file:line citations, severity-rated findings cards, and an optional second-opinion pass. Lens variants: full (default), safety, discoverability, architecture, parseability, tests, quick.
Six-skill audit suite for iOS/Swift codebases: data models, UI paths, data round-trips, time bombs, visual quality, and capstone grading. As of v2.0 every finding is classified on a 3-axis framework (real bug / scatter / dead code) with mandatory coaching citations to patterns in the audited codebase.
Mine for hidden bugs that pattern-based auditors miss — logic errors, broken assumptions, state machine gaps, and semantic fragility
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