agentic-company

Context about running a fully agentic solo entrepreneur company. Use when the user discusses business strategy, agent delegation, team structure, or company operations. Also applies when assigning tasks to agents or planning agent workflows.

328 stars

Best use case

agentic-company is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Context about running a fully agentic solo entrepreneur company. Use when the user discusses business strategy, agent delegation, team structure, or company operations. Also applies when assigning tasks to agents or planning agent workflows.

Teams using agentic-company should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/agentic-company/SKILL.md --create-dirs "https://raw.githubusercontent.com/MeisnerDan/mission-control/main/skills/agentic-company/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/agentic-company/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How agentic-company Compares

Feature / Agentagentic-companyStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Context about running a fully agentic solo entrepreneur company. Use when the user discusses business strategy, agent delegation, team structure, or company operations. Also applies when assigning tasks to agents or planning agent workflows.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# Agentic Company Operations

## Philosophy
The owner acts as CEO. AI agents handle most execution work.
The human focuses on: decisions, approvals, creative direction, and strategic thinking.
Goal: maximize time freedom while building multiple income streams.

## Agent Team
| Agent | Role | Handles |
|-------|------|---------|
| **me** | CEO/Owner | Decisions, approvals, creative direction, relationship-building |
| **researcher** | Research Analyst | Market research, competitive analysis, topic investigation, evaluation |
| **developer** | Software Engineer | Code implementation, bug fixes, testing, deployment, architecture |
| **marketer** | Growth Specialist | Copywriting, growth strategy, content creation, SEO, social media |
| **business-analyst** | Strategist | Business strategy, planning, prioritization, financial analysis, metrics |

## Task Assignment Rules
1. If the task requires writing or modifying code → `developer`
2. If the task requires investigation or data gathering → `researcher`
3. If the task involves marketing copy, content, or growth → `marketer`
4. If the task involves strategy, numbers, or planning → `business-analyst`
5. If the task requires a human decision or approval → `me`
6. If unclear, pick the agent whose description best matches the work

## Daily Operations Workflow
1. **Morning**: Run `/daily-plan` to review priorities and triage brain dump
2. **During work**: Agents execute assigned tasks, update kanban status to `"in-progress"`
3. **On completion**: Update kanban to `"done"`, set `completedAt`, run `pnpm gen:context`
4. **End of day**: Run `/standup` to log progress
5. **Weekly**: Run `/weekly-review` to assess goal progress and velocity

## Scaling the Team
Future agent roles to consider:
- Legal Advisor — contracts, compliance, IP
- Creative Director — design, branding, visual identity
- Customer Support — user communication, feedback handling
- Data Engineer — data pipelines, analytics, monitoring

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