💡 Summary
AI Toolbox offers a suite of tools for AI and developer productivity, including plugins for various tasks.
🎯 Target Audience
🤖 AI Roast: “Powerful, but the setup might scare off the impatient.”
Risk: Medium. Review: shell/CLI command execution; outbound network access (SSRF, data egress); filesystem read/write scope and path traversal; dependency pinning and supply-chain risk. Run with least privilege and audit before enabling in production.
AI Toolbox
Monorepo of AI and developer tools by desplega.ai. Each subdirectory is a standalone tool with its own README.
Repository Structure
| Tool | Description | Stack | |------|-------------|-------| | ai-tracker | Track AI vs human code contributions | Python, uv, SQLite | | brain | Personal knowledge management with semantic search | TypeScript, Bun, SQLite | | cc-hooks | macOS notifications for Claude Code | Bash | | cc-notch | Menu bar cost tracker (SwiftBar) | Shell | | cc-plugin | Claude Code plugins | YAML/Markdown | | cc-what | SDK & CLI for analyzing Claude Code usage data | TypeScript, Bun | | dns | DNS TXT record query utility | - | | file-review | File review tool | - | | hive | macOS app for Claude Code sessions | TypeScript, Electron, Vite | | hn-sql | HN data with Parquet + SQL | - | | invoice-cli | Invoice email fetcher | - | | thoughts | Research notes & plans (via /desplega:*) | Markdown | | willitfront.page | HN analysis with natural language | - | | wts | Git worktree manager | TypeScript, Bun |
Thoughts
The thoughts directory contains research notes and implementation plans generated via Claude Code skills from the base plugin:
/desplega:research- Document codebase state with research notes/desplega:create-plan- Create detailed implementation plans/desplega:implement-plan- Execute plans from a plan file
Claude Plugins
Installation
From inside Claude Code:
/plugin marketplace add desplega-ai/ai-toolbox
Or from the terminal:
claude plugin marketplace add desplega-ai/ai-toolbox
Available Plugins
| Plugin | Description |
|--------|-------------|
| desplega | Base agentic coding patterns (research, planning, implementation) |
| agent-swarm | Multi-agent coordination |
| wts | Git worktree manager |
| brain | Personal knowledge management integration |
| file-review | File review with inline comments |
| remarkable | reMarkable tablet integration (get, put, ls) |
/plugin install desplega@desplega-ai-toolbox /plugin install agent-swarm@desplega-ai-toolbox /plugin install wts@desplega-ai-toolbox /plugin install brain@desplega-ai-toolbox /plugin install file-review@desplega-ai-toolbox /plugin install remarkable@desplega-ai-toolbox
Bash Install
You can also install from the terminal:
# Scope can be 'user' (default), 'project' or 'local' claude plugin install desplega@desplega-ai-toolbox --scope user claude plugin install agent-swarm@desplega-ai-toolbox --scope user claude plugin install wts@desplega-ai-toolbox --scope user claude plugin install brain@desplega-ai-toolbox --scope user claude plugin install file-review@desplega-ai-toolbox --scope user claude plugin install remarkable@desplega-ai-toolbox --scope user
Plugin structure: cc-plugin/{base,swarm,wts,brain,file-review,remarkable}/ with hooks, skills, and agents.
Key Tools
ai-tracker (Python):
uvx cc-ai-tracker install # Install hooks uvx cc-ai-tracker stats # View AI/human contribution stats
brain (TypeScript/Bun):
npm install -g @desplega.ai/brain brain init && brain add "My first note" brain search "ideas" # Semantic search
cc-what (TypeScript/Bun):
npm install -g @desplega.ai/cc-what cc-what # Summary of Claude Code usage cc-what stats --daily # Daily activity stats cc-what costs --models # Cost breakdown by model
wts (TypeScript/Bun):
npm install -g @desplega.ai/wts wts init && wts create feature --new-branch
Development
Each tool is independent - check its README for specific setup. General pattern:
- Python tools:
uvoruvx - TypeScript tools:
bunorpnpm - Plugins: YAML/Markdown configs in
cc-plugin/
New tools: Create folder with minimal slug, add README.md.
Pros
- Diverse set of tools for various tasks
- Supports both AI and developer needs
- Easy installation via command line
Cons
- Documentation could be more detailed
- Tools are independent, requiring separate setups
- Limited information on some plugins
Related Skills
pytorch
S“It's the Swiss Army knife of deep learning, but good luck figuring out which of the 47 installation methods is the one that won't break your system.”
agno
S“It promises to be the Kubernetes for agents, but let's see if developers have the patience to learn yet another orchestration layer.”
nuxt-skills
S“It's essentially a well-organized cheat sheet that turns your AI assistant into a Nuxt framework parrot.”
Disclaimer: This content is sourced from GitHub open source projects for display and rating purposes only.
Copyright belongs to the original author desplega-ai.
