AI Agent Skill
Your AI-powered business operating system. Design, build, and deploy AI agents that handle the work you shouldn't be doing manually.
Commands
| Command | Description |
|---|---|
/agent:audit | Audit your workflow, rank automation opportunities by ROI |
/agent:design | Design an AI agent spec (trigger, workflow, tools, output) |
/agent:build | Step-by-step build guide (n8n + Claude API) |
/agent:leads | Lead qualifier agent recipe |
/agent:support | Customer support agent recipe |
/agent:content | Content repurposing agent recipe |
/agent:inbox | Email triage + draft agent recipe |
/agent:social | Social media scheduling agent recipe |
/agent:onboard | Client onboarding agent recipe |
/agent:invoice | Invoice + payment follow-up agent recipe |
/agent:research | Market/competitor research agent recipe |
/agent:help | Command reference |
Principles
- Automate the repeatable, humanize the valuable. If it takes judgment, taste, or relationship — keep it human.
- Every agent needs a human checkpoint. No fully autonomous agent should touch clients or money without a review gate.
- Start with the highest-ROI automation, not the coolest one. Boring automations that save 5 hours/week beat flashy ones that save 20 minutes.
- An agent that fails silently is worse than no agent. Every agent must alert on failure.
- Cost per automation < cost of your time. If the API bill exceeds the hourly rate you'd pay someone, rethink the approach.
Stage 1: Automation Audit (/agent:audit)
Before building anything, figure out what's worth automating. Most solopreneurs automate the wrong things first.
Step 1: Task Inventory
List everything you do in a typical week. Be honest — include the 10-minute tasks you think don't matter. They add up.
WEEKLY TASK INVENTORY
======================
| # | Task | Category | Frequency | Time/Occurrence | Total hrs/wk |
|---|-----------------------------|---------------|-------------|-----------------|--------------|
| 1 | [e.g., Reply to inquiries] | [Sales] | [Daily] | [15 min] | [1.25] |
| 2 | [e.g., Post on LinkedIn] | [Marketing] | [3x/week] | [30 min] | [1.5] |
| 3 | [e.g., Send invoices] | [Finance] | [Weekly] | [45 min] | [0.75] |
| 4 | [e.g., Onboard new client] | [Operations] | [2x/month] | [2 hours] | [1.0] |
| 5 | | | | | |
|...| | | | | |
Categories: Sales, Marketing, Finance, Operations, Support, Admin, Research
Step 2: Automation Scorecard
Score each task on four dimensions. Be ruthless.
AUTOMATION SCORECARD
=====================
| # | Task | Repetitive | Rule-Based | Error-Prone | Time (hrs/wk) | ROI Score |
|---|-----------------------|------------|------------|-------------|----------------|-----------|
| | | (1-5) | (1-5) | (1-5) | | |
| 1 | Reply to inquiries | 4 | 3 | 2 | 1.25 | 11.25 |
| 2 | Post on LinkedIn | 5 | 4 | 1 | 1.5 | 15.0 |
| 3 | Send invoices | 5 | 5 | 3 | 0.75 | 9.75 |
| 4 | Onboard new client | 4 | 4 | 4 | 1.0 | 12.0 |
ROI Score formula:
ROI Score = (Repetitive + Rule-Based + Error-Prone) x Time (hrs/wk)
Scoring guide:
Repetitive (1-5)
1 = Unique every time, no two instances alike
2 = Some patterns but mostly custom
3 = Half repeatable, half custom
4 = Mostly the same steps, minor variations
5 = Identical every single time
Rule-Based (1-5)
1 = Requires deep judgment, creativity, or intuition
2 = Mostly judgment with some clear rules
3 = Mix of rules and judgment calls
4 = Clear rules with occasional edge cases
5 = Fully deterministic — if X then Y, always
Error-Prone (1-5)
1 = Almost never make mistakes here
2 = Rare errors, low impact
3 = Occasional errors, moderate impact
4 = Frequent small errors or occasional big ones
5 = Regularly make mistakes, high impact when wrong
Step 3: Priority Matrix
Plot your tasks into four quadrants:
HIGH ROI
|
STRATEGIC | QUICK WINS
(plan these) | (do these first)
|
HARD TO ---------------+--------------- EASY TO
AUTOMATE | AUTOMATE
|
SKIP | NICE-TO-HAVE
(don't bother) | (do when bored)
|
LOW ROI
Quick Wins (High ROI + Easy to automate):
- Tasks scoring ROI > 10 that use standard tools (email, spreadsheets, forms)
- Usually: invoice reminders, social posting, email sorting, data entry
Strategic (High ROI + Hard to automate):
- Tasks scoring ROI > 10 that need custom logic or multiple integrations
- Usually: lead qualification, client onboarding, content repurposing
Nice-to-Have (Low ROI + Easy to automate):
- Tasks scoring ROI < 10 that are simple to set up
- Usually: file organization, notification routing, calendar management
Skip (Low ROI + Hard to automate):
- Not worth the effort. Revisit in 6 months.
Step 4: Human-Required Flags
Some tasks should never be fully automated, no matter the ROI score. Flag these:
HUMAN-REQUIRED FLAGS
=====================
[!] Creative work — brand voice, design, strategy
[!] Relationship moments — first client call, conflict resolution, celebrations
[!] High-stakes decisions — pricing, hiring, partnerships, legal
[!] Emotional intelligence — reading tone, detecting frustration, showing empathy
[!] Novel situations — first-time problems, unusual requests
For flagged tasks: automate the preparation, keep the execution human. Example: AI drafts the proposal, you review and send it.
Audit Output
Deliver a ranked list:
AUTOMATION PRIORITIES
======================
Priority 1 (This week): [Quick win with highest ROI score]
Priority 2 (This week): [Second quick win]
Priority 3 (Next week): [Third quick win or first strategic]
Priority 4 (This month): [Strategic automation]
Priority 5 (This month): [Strategic automation]
Estimated time saved: [X] hours/week
Estimated build time: [Y] hours total
Payback period: [Y / X] weeks
Stage 2: Agent Design (/agent:design)
Every agent starts with a spec. No spec, no build. This prevents the most common failure mode: building something that solves the wrong problem.
Agent Spec Template
AGENT SPEC
===========
Name: [Descriptive name — e.g., "Lead Qualifier Bot"]
Owner: [Who maintains this agent]
Version: [Start at 1.0]
TRIGGER
-------
Type: [Schedule / Webhook / Email / Form / Event / Manual]
Source: [Where the trigger comes from]
Frequency: [How often it fires]
Conditions: [Any filters before the agent runs]
INPUT
-----
Data: [What data the agent receives]
Format: [JSON, email body, form fields, etc.]
Required fields: [What must be present or agent should abort]
Optional fields: [Nice-to-have data that improves output]
WORKFLOW
--------
Step 1: [Action — be specific]
Step 2: [Action]
Step 3: [Action]
...
Step N: [Final action]
TOOLS & INTEGRATIONS
---------------------
- [Service/API]: [What it does in this workflow]
- [Service/API]: [What it does in this workflow]
- [Database]: [What it reads/writes]
AI MODEL
--------
Model: [Claude Sonnet for