Four Powerful Projects to Supercharge Your Claude Code

Everything Claude Code – Anthropic Hackathon Champion Bundle

Repository: https://github.com/affaan-m/everything-claude-code

Provides a full‑featured Claude Code operating system refined over ten months of daily use. Core capabilities include:

48 production‑ready agents

183 skills covering code review, security scanning, brand marketing, video creation, etc.

79 commands that span typical development workflows

Six guide modules teach token optimization, memory persistence, continuous learning, verification loops, parallelization, and sub‑agent orchestration.

Installation (two steps):

# Step 1: add marketplace and install plugin
/plugin marketplace add https://github.com/affaan-m/everything-claude-code
/plugin install everything-claude-code@everything-claude-code

# Step 2: install rules (required)
git clone https://github.com/affaan-m/everything-claude-code.git
cd everything-claude-code
npm install
./install.sh --profile full

Compatible with Claude Code, Codex, Cursor, OpenCode, and Gemini. Version v1.10.0 adds ECC 2.0 alpha (Rust control layer), brand‑marketing workflow, and video‑creation capabilities.

GacUI CLAUDE.md – Keyword‑Driven Workflow Engine

Repository: https://github.com/vczh-libraries/GacUI/blob/master/CLAUDE.md

Core idea: the first word of the user input selects a prompt file, which determines Claude’s behavior.

first‑word → load corresponding prompt → execute defined flow

Keyword table (keyword → action → typical scenario): scrum – load agile process – project management, sprint planning design – load design patterns – architecture or UI design plan – load planning flow – task breakdown, scheduling execute – load execution flow – write code, implement features verify – load verification flow – testing, code review investigate – load investigation flow – debugging, log analysis code – direct code writing – default mode kb – knowledge‑base query – documentation lookup

Combination inputs are supported, e.g.: scrum learn – loads scrum flow with theme “Learn” design problem next – loads design flow, theme “Problem”, adds “next” execute and verify – executes then verifies

For voice‑input scenarios without line breaks or punctuation, Claude automatically corrects phonetically similar misspellings.

Waza – Engineer Skill Pack

Repository: https://github.com/tw93/waza

Provides eight curated skills, each triggered by a specific command: /think – before coding: challenge the problem, stress‑test design, validate architecture /design – when building UI: produce styled UI, avoid default blandness /check – before merging: diff review, auto‑fix security issues, flag dangerous commands /hunt – when encountering bugs: systematic debugging, confirm root cause before fixing /write – writing docs or copy: rewrite text for natural bilingual flow /learn – entering a new domain: six‑stage research (collect → digest → outline → fill → polish → self‑review) /read – reading any URL or PDF: smart routing for GitHub, PDF, WeChat, Feishu, etc. /health – auditing Claude Code config: check CLAUDE.md, rules, skills, hooks, MCP; report by severity

Two bundled tools:

Status bar – a single command monitors Claude Code resources (context window usage, 5‑hour quota, 7‑day quota, reset countdown):

curl -sL https://raw.githubusercontent.com/tw93/Waza/main/scripts/setup-statusline.sh | bash

English Coach – corrects English during collaboration (illustrated in the original article).

Installation commands:

# Claude Code
npx skills add tw93/Waza -a claude-code -g -y
# Codex
npx skills add tw93/Waza -a codex -g -y

Ars Contexta – Persistent Memory for Agents

Repository: https://github.com/agenticnotetaking/arscontexta

Addresses the “blank‑slate” problem where each new AI session starts without memory. Generates a personalized knowledge system that provides Claude Code with persistent memory.

Key features:

Knowledge base – pure Markdown with Wiki links; no database or cloud lock‑in.

Processing pipeline – auto‑extract insights, discover relations, update old notes.

Automation hooks – structure validation on write, auto git‑commit, session‑state saving.

Navigation system – multi‑level Maps of Content (MOC).

Template system – note templates with _schema validation.

User manual – seven‑page domain‑specific documentation.

Setup consists of six conversational stages:

Detect – detect Claude Code environment and capabilities.

Understand – 2–4 dialogue rounds to describe the user’s work domain.

Infer – map signals to eight configuration dimensions.

Propose – show generated content and rationale.

Generate – create all files (context, templates, skills, hooks, manual).

Validate – check 15 core primitives and run pipeline smoke tests.

Architecture follows a “Three‑Space” model: self/ – persistent mind of the agent (identity, methodology, goals); growth slow (tens of files). notes/ – knowledge graph explaining why the system exists; growth stable (10–50 weekly). ops/ – operational coordination (queue status, sessions); growth fluctuating.

The project cites 249 interconnected research statements covering Zettelkasten, Cornell notes, Evergreen notes, PARA, GTD, cognitive science, network theory, etc. Users can query the system for rationale, e.g. /arscontexta:ask "Why does my system use atomic notes?".

Installation commands:

# Add marketplace
/plugin marketplace add agenticnotetaking/arscontexta
# Install
/plugin install arscontexta@agenticnotetaking
# Restart Claude Code then run
/arscontexta:setup