EarthChen

EarthChen/ai-assets

Skill Claude CodeCodex

Repo-wide entropy reclamation — prove and safely remove dead code, duplicate representations, speculative generality, and over-engineering.

EarthChen/ai-assets

Skill Claude CodeCodex

Ship each project's feature branch in a multi-project workspace to a test-environment branch — commit and push the feature branch, merge into the target branch (test by default), push it (triggers CI/CD), switch back. Manual invocation.

EarthChen/ai-assets

Skill Claude CodeCodex

Create new skills, improve existing skills, and measure skill performance with evals and benchmarks. Use when creating, editing, optimizing, or evaluating a skill.

EarthChen/ai-assets

Agent

Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.

EarthChen/ai-assets

Agent

Compare two outputs WITHOUT knowing which skill produced them.

EarthChen/ai-assets

Agent

Evaluate expectations against an execution transcript and outputs.

EarthChen/ai-assets

Skill Claude CodeCodex

Cross-stack testing principles — unit/integration/E2E boundaries, sociable vs solitary unit tests, narrow integration tests, isolation rules, F.I.R.S.T, naming, mocking schools, flaky prevention. Reference material consumed by the language development skills.

EarthChen/ai-assets

Skill Claude CodeCodex

TypeScript/Node backend development conventions — testing conventions (vitest/jest, supertest, testcontainers-node), mock boundaries. Use when writing or reviewing TypeScript backend code.

EarthChen/mcp-feedback-enhanced

Instructions file CodexOpenCode

AGENTS.md instructions for EarthChen/mcp-feedback-enhanced, covering agents.md, 项目, 技术栈, 命令 and 架构.

EarthChen/mcp-feedback-enhanced

Instructions file

Claude Code instructions for EarthChen/mcp-feedback-enhanced, a project described as: Enhanced MCP server for interactive user feedback and command execution in AI-assisted development, featuring dual interface support (Web UI and Desktop Application) with intelligent environment detection and cross-platform…

EarthChen/mcp-feedback-enhanced

MCP server Claude CodeCodexCursor

Enhanced MCP server for interactive user feedback and command execution in AI-assisted development, featuring dual interface support (Web UI and Desktop Application) with intelligent environment detection and cross-platform compatibility. Runs locally from the mcp-feedback-pro Python package.