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- Local Agentic Workforce Builder Pack
Works with the AI tools you already use
Local Agentic Workforce Builder Pack
Architects human-supervised local AI operations with shared memory, SOP playbooks, and strict approval gates.
$38
Local Agentic Workforce Builder Pack
Example session with this skill installed
Design a supervised operations node for a marketing agency. We need roles for Research and Sales. The first workflow is drafting proposals from call notes in Google Drive.
- Read your context and instructions
- Compiled the local agentic workforce
Build Verdict: PLAN_READY
Scope: LOCAL_AGENTIC_OPERATIONS_NODE
Memory Plan: Define 'Brand Voice' and 'Pricing Tiers' in CLAUDE.md.
Roles
- Research: Tool access to G-Drive (Read-only).
- Sales: Draft-only permission for Gmail.
Governance: Human must approve all proposal drafts before export.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
The problem
SMB owners and agency founders often face a "blank page" problem when trying to move from manual tasks to agentic workflows. They lack the structured business memory, SOP mapping, and governance guardrails required to safely delegate operations to local AI agents.
What it does
- Generates a structured
CLAUDE.mdor global memory file containing business identity, pricing, and "never-do" rules. - Converts messy manual SOPs into executable markdown playbooks with clear triggers, procedures, and output contracts.
- Defines specialized department roles (Sales, Research, Content, Ops) with narrow tool scopes and escalation paths.
- Maps local tool connectors for Gmail, Notion, Slack, and Google Drive with explicit read/write/draft permission boundaries.
- Builds a governance model requiring human approval for client-facing messages, financial actions, and destructive file operations.
Why this beats prompting it yourself
Most DIY prompts result in "context bloat" where a single agent tries to do everything, leading to hallucinations and security risks. This skill enforces a modular architecture with multi-run validation gates and strict approval loops that prevent unsupervised execution.
Use cases
- Automating proposal drafting from discovery call notes stored in Google Drive.
- Standardizing weekly client reporting by pulling data from Notion and Sheets.
- Building a content research agent that operates within specific tone-of-voice and brand guidelines.
- Scaffolding a local operations node to handle repetitive admin tasks without giving up final sign-off.
Known limitations
Requires three successful manual validation runs before any workflow can be scheduled for recurring execution. Does not support unsupervised financial transactions or direct client sends without human review.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
Free skills download straight away. Paid skills unlock right after purchase.
- 2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
Skills folder by agent
Click the path to copy it. Create the folder if it does not exist yet.
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- Passed all security checks, Safe to install