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By desplega-ai
Orchestrate an agentic development workflow from brainstorming through implementation, testing, code review, and documentation—with background sub-agents, autonomy modes, and session handoffs.
npx claudepluginhub desplega-ai/ai-toolbox --plugin desplegaA thin wrapper that invokes the `desplega:brainstorming` skill with autonomy controls.
Analyze the codebase and automatically add Business-Use SDK instrumentation to track critical business flows.
You are tasked with creating git commits for the changes made during this session.
Continue work from a saved handoff file
A thin wrapper that invokes the `desplega:planning` skill with autonomy controls.
Analyzes codebase implementation details. Call the codebase-analyzer agent when you need to find detailed information about specific components. As always, the more detailed your request prompt, the better! :)
Locates files, directories, and components relevant to a feature or task. Call `codebase-locator` with human language prompt describing what you're looking for. Basically a "Super Grep/Glob/LS tool" — Use it if you find yourself desiring to use one of these tools more than once.
codebase-pattern-finder is a useful subagent_type for finding similar implementations, usage examples, or existing patterns that can be modeled after. It will give you concrete code examples based on what you're looking for! It's sorta like codebase-locator, but it will not only tell you the location of files, it will also give you code details!
Use this agent when you need to preserve context before running out of context window space, when you want to checkpoint progress on a complex task, when transitioning between sessions, or when explicitly asked to save/store current progress. Examples: <example> Context: The assistant has been working on a complex refactoring task and notices the conversation is getting long. user: "Continue refactoring the authentication module" assistant: "I notice we've been working on this refactoring for a while and the context is getting substantial. Let me use the context-handoff agent to save our progress before continuing." <commentary> The assistant proactively recognizes context accumulation and uses the context-handoff agent to preserve state before it becomes a problem. </commentary> </example> <example> Context: User explicitly wants to save progress. user: "Let's save where we are - I need to take a break" assistant: "I'll use the context-handoff agent to document our current progress and state so we can resume seamlessly later." <commentary> User explicitly requests saving progress, triggering the context-handoff agent. </commentary> </example> <example> Context: Assistant is about to hit context limits on a long debugging session. assistant: "We've made significant progress debugging this issue. Before we potentially lose context, let me use the context-handoff agent to capture everything we've learned and our current state." <commentary> Proactive handoff when approaching context limits during complex work. </commentary> </example> <example> Context: Completing a logical phase of work. user: "Great, the API endpoints are done. Now let's work on the frontend." assistant: "Perfect - the API work is complete. Let me use the context-handoff agent to document what we accomplished before we shift focus to the frontend." <commentary> Using handoff at natural transition points between phases of work. </commentary> </example>
Do you find yourself desiring information that you don't quite feel well-trained (confident) on? Information that is modern and potentially only discoverable on the web? Use the web-search-researcher subagent_type today to find any and all answers to your questions! It will research deeply to figure out and attempt to answer your questions! If you aren't immediately satisfied you can get your money back! (Not really - but you can re-run web-search-researcher with an altered prompt in the event you're not satisfied the first time)
Interactive exploration of ideas through Socratic Q&A. Produces progressive documents that serve as lightweight pre-PRDs feeding into research.
Plan implementation skill. Executes approved technical plans phase by phase with verification checkpoints.
Compounding knowledge across projects and teams. Captures, searches, and promotes institutional learnings via tiered backends (local/qmd/agent-fs).
Execute individual plan phases as background sub-agents for context-efficient implementation.
Implementation planning skill. Creates detailed technical plans through interactive research and iteration.
Modifies files
Hook triggers on file write and edit operations
Uses power tools
Uses Bash, Write, or Edit tools
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Claude Copilot — a framework of specialized agents, skills, commands, and hooks that give Claude persistent memory, expert methodology, and task tracking. Agents cover architecture (ta), engineering (me), QA (qa), design (sd/design), DevOps (do), documentation (doc), and knowledge onboarding (kc).
Structured AI-assisted development with phase workflows, persistent memory, and reusable skills
Core workflow for structured development: Research → Plan → Implement → Validate with thoughts/ management
Agentic engineering done right — 57 structured workflows, 17 specialist agent personas, persistent memory across sessions, integrated learning partner, and impeccable UI design system. Works with Claude Code, Windsurf, Cursor, Gemini CLI, OpenCode, and Codex.
Inter-session communication for Claude Code — session registry, messaging, and coordination
Implementation planning, execution, and PR creation workflows with multi-agent collaboration
Personal knowledge management with brain CLI - capture notes, manage todos, auto-sync, and search your second brain
Inter-session communication for Claude Code — session registry, messaging, and coordination
OpenAPI CLI expert for @desplega.ai/oapi - register specs, execute requests, manage auth
Git worktree management expert for @desplega.ai/wts
Launch file-review GUI for reviewing markdown files with inline comments
Monorepo of AI and developer tools by desplega.ai. Each subdirectory is a standalone tool with its own README.
| 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 |
| dokcli | CLI tool for Dokploy (auto-generated from OpenAPI) | 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 | - |
| meme-gen | Meme generator using Imgflip API | TypeScript, Bun |
| thoughts | Research notes & plans (via /desplega:*) | Markdown |
| willitfront.page | HN analysis with natural language | - |
| wts | Git worktree manager | TypeScript, Bun |
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 fileFrom inside Claude Code:
/plugin marketplace add desplega-ai/ai-toolbox
Or from the terminal:
claude plugin marketplace add desplega-ai/ai-toolbox
| 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
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.
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
Each tool is independent - check its README for specific setup. General pattern:
uv or uvxbun or pnpmcc-plugin/New tools: Create folder with minimal slug, add README.md.