Streamline AI with mission-control
Manage and govern your AI agents from a central dashboard.
"A founder like you can use this to automate data import from Amazon to Notion by setting up an AI agent in this mission control dashboard, then create a trigger for new products, and finally have the data synced within a few minutes."
- •You have multiple AI models or agents that need to work together to accomplish a task
- •You want to monitor and control the cost of running AI workflows and operations
- •You need to manage complex AI workflows and want a centralized platform to do so
dispatch task 'sentiment-analysis' to agent ' transformer-model' with input '{"text": "This is a sample text"}'Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/mission-control && curl -fsSL https://workflowstacks.com/api/skills/mission-control/claude-skill -o ~/.claude/skills/mission-control/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Streamline AI with mission-control is a very large TypeScript project (~109k lines across 425 code files, plus 246 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, MIT license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2CLAUDE.mdThe instructions the AI actually follows
- 3src/index.tsWhere the program starts running
- 4package.jsonDependencies and the commands it exposes
- 5.env.exampleThe API keys and settings you must provide
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/mission-control && curl -fsSL https://workflowstacks.com/api/skills/mission-control/claude-skill -o ~/.claude/skills/mission-control/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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