jtsang4

38 mods across 2 repositories, 123 stars between them.

jtsang4/efficient-coding

Skill Claude CodeCodex

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

not rated 2 8d ago A 21 tokens copy · 94% MIT

worktree-manager

27

jtsang4/efficient-coding

Skill Claude CodeCodex

Manage Git worktrees. Use when asked to create/switch/list/merge/remove worktrees, to keep multiple branches in parallel directories, or to clean up worktrees safely during development.

not rated 2 8d ago A 41 tokens original MIT

writing-plans

28

jtsang4/efficient-coding

Skill Claude CodeCodex

Use when you have a spec or requirements for a multi-step task, before touching code.

not rated 2 8d ago A 21 tokens copy · 88% MIT

prove-it

29

jtsang4/efficient-coding

Skill Claude CodeCodex

A method for testing whether a proposed idea, design, or technical approach actually works through a falsifiable demonstration. Falsifiable means the test could show that the claim is wrong.

not rated 2 8d ago A 92 tokens original MIT

use-remote-skill

30

jtsang4/efficient-coding

Skill Claude CodeCodex

Load and use remote skills in the current conversation through bunx/npx skills use, from user-specified sources or a declared global/project catalog. Use when the user names a remote skill or catalog alias, asks to match a task against configured remote skills, or wants to view, add, edit, disable, or remove those…

not rated 2 8d ago A 79 tokens original MIT

problem-framing

31

jtsang4/efficient-coding

Skill Claude CodeCodex

Reassess a problem when a solution accumulates branches, special cases, or layers, or discussion repeatedly fails to converge. Use when the user asks to challenge the problem statement, validate the underlying requirement, or reframe a stuck design. Ordinary implementation difficulty alone is insufficient.

not rated 2 8d ago A 59 tokens original MIT

jtsang4/efficient-coding

Skill Claude CodeCodex

Rethink a project, product, workflow, or scenario around abundant AI agent execution capacity. Use when the user wants an AI-native or agent-native redesign, challenges limits inherited from earlier models or human-centered processes, or asks what unlimited agent and token budgets could enable for quality, automation…

not rated 2 8d ago A 79 tokens original MIT

paseo-relay

33

jtsang4/efficient-coding

Skill Claude CodeCodex

Connect to other Paseo hosts through Relay using authorized pairing information; discover projects, workspaces and agents, inspect sessions and timelines, and perform explicitly requested remote operations. Use for cross-host Paseo access, including requests that call Relay “replay”.

not rated 2 8d ago A 56 tokens original MIT

prune

34

jtsang4/efficient-coding

Skill Claude CodeCodex

Periodically slim down and restructure a project built largely by AI agents — remove dead code, duplicate implementations, abandoned approaches, unused features and APIs, over-defensive and over-abstracted code, and drifted docs, and fix the architectural causes that keep regrowing them — while preserving behavior…

not rated 2 8d ago A 118 tokens original MIT

diffusion-map

35

jtsang4/efficient-coding

Skill Claude CodeCodex

A conversation mode that grows a visual map of a topic over time. The map stores ideas and their relationships locally, can continue across sessions, and lets users revisit the conversations behind its nodes.

not rated 2 changed 7d ago A 101 tokens original MIT

better-qdrant-mcp

36

jtsang4/better-qdrant-mcp

MCP server Claude CodeCodexCursor +2

A Python MCP server for Qdrant memory storage and semantic search, compatible with Cursor-like MCP clients. Runs locally from the better-qdrant-mcp Python package.

not rated 1 11mo ago A tokens not measured original MIT

At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: