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agents

AI agent design and automation skill for solopreneurs. Use when user needs to audit workflows for automation, design AI agents, or build automation recipes using n8n + Claude API. Triggers on "ai agent", "automation", "workflow automation", "n8n", "agent design", "automate my business", or /agent commands.

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Atualizado há 6 meses

Ver no GitHub ↗ Licença: NOASSERTION

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/plugin marketplace add ORBWEVA/solo-agents

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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

  1. Automate the repeatable, humanize the valuable. If it takes judgment, taste, or relationship — keep it human.
  2. Every agent needs a human checkpoint. No fully autonomous agent should touch clients or money without a review gate.
  3. Start with the highest-ROI automation, not the coolest one. Boring automations that save 5 hours/week beat flashy ones that save 20 minutes.
  4. An agent that fails silently is worse than no agent. Every agent must alert on failure.
  5. 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
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