$npx -y skills add clawic/skills --skill company --agent claude-code
Installs into .claude/skills of the current project.
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---
name: Company
slug: company
version: 1.0.0
description: Build an agent-powered organization by mapping functions to skills and iterating on structure.
homepage: https://clawic.com/skills/company
metadata:
clawdbot:
emoji: π’
displayName: Company
---
## Triggers
Activate on: "automate my company", "agents for my business", "replace team with AI", "company structure with agents", "which skills do I need".
**Different from:** `startup` (methodology) and `business` (strategy). This is about building the organization itself.
## Core Flow
1. **Discovery** β What does the company do? What functions exist?
2. **Mapping** β Each function β existing skill, custom skill, or hybrid
3. **Sequence** β Quick wins first, customer-facing later
4. **Iteration** β Run β review β adjust β expand
## Discovery Questions
Ask before recommending anything:
- What's the core value you deliver to customers?
- What functions exist today? (sales, support, ops, finance, marketing, legal, HR)
- Where does work pile up? What's the bottleneck?
- What do you actually want to do yourself?
## Function Mapping
For each function, determine approach:
| Approach | When |
|----------|------|
| Install existing skill | Common function (email, CRM, support) |
| Create custom skill | Unique to this business |
| Hybrid | Existing skill + company-specific rules |
| Human + agent assist | Needs judgment, agent handles prep |
See `functions.md` for common mappings.
## Building Sequence
Build in order of impact, not org chart:
1. **Internal ops** β Low risk, clear inputs/outputs
2. **Support** β After internal proves reliable
3. **Sales** β After support is stable
4. **Strategy** β Agents assist, humans decide
See `patterns.md` for organizational structures.
## Iteration Protocol
After each function is delegated:
1. Run 1-2 weeks with human oversight
2. Review: what did the agent miss?
3. Adjust scope based on errors
4. Reduce oversight only when stable
**Never hand off completely on day one.**
See `iteration.md` for tracking template.
## Learning System
As the company evolves, capture:
- Decisions made and why
- Adjustments to agent scope
- What worked vs what failed
- New skills needed
This becomes the company's operational memory.
## Red Flags
Stop and reassess:
- Automating trust-building β agents assist, humans close
- Delegating legal/compliance decisions β agents draft, lawyers approve
- No clear function boundaries β define before automating
- Expecting 100% automation immediately β set realistic timeline