Home / techwolf-ai / ai-first-toolkit · plugins/people-management/skills/setup/SKILL.md · GitHub

setup skillA

setup is agent-read markdown (skill) from techwolf-ai/ai-first-toolkit: Interactive onboarding that discovers team structure, terminology, development goals, performance and management frameworks, organizational values, and ways of working by crawling Slack, Notion, Google Drive, Gmail, and Calendar. Validates everything with the manager before persisting. Run this first before using any other skill. Also handles periodic context refreshes via /setup --refresh..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# Setup

> **Principle: "You are responsible."** This skill discovers and proposes. The manager validates and decides what's accurate.

Interactive onboarding that builds the foundation every other skill relies on. Crawls connected sources, extracts context, and validates with the manager before saving.

If any MCP connector is unavailable, follow the connector unavailability protocol in `references/operating-principles.md`.

## Prerequisites

Ensure these MCP connectors are available:
- **Slack**: team channels, messages, terminology
- **Notion**: performance docs, goals, team pages
- **Google Drive**: 1:1 docs, meeting notes, strategy docs
- **Gmail**: communication patterns
- **Google Calendar**: recurring meetings, team rhythms

If any connector is missing, note it and proceed with what's available. Flag gaps at the end.

## Instructions

Run phases sequentially. Each phase discovers, validates with the manager, then persists. Read `references/discovery-phases.md` for detailed instructions per phase.

### Phase 1: Team Discovery
…

Read the whole file at its exact version.

How to install

Latest version
mdr add techwolf-ai/ai-first-toolkit/setup@git:20260610.38aa811
Exact content
mdr add techwolf-ai/ai-first-toolkit/setup@sha256:7435f8278874eb37

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_ubnmwae5bt34pwa3.svg)](https://markdownregistry.com/a/art_ubnmwae5bt34pwa3)

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Versions

versioncommittedcommitsizeaudit
git:20260610.38aa811 latest2026-06-10 38aa811 4,515 BA view · diff
git:20260410.852272e2026-04-10 852272e 4,539 BA view · diff
git:20260326.c5593b42026-03-26 c5593b4 4,555 BA view · diff
git:20260324.2d534742026-03-24 2d53474 4,563 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (4515 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

techwolf-ai/ai-first-toolkit · 100 stars · license MIT · pushed 2026-09-22 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ubnmwae5bt34pwa3
GET https://markdownregistry.com/api/v1/resolve?ref=techwolf-ai/ai-first-toolkit/setup
GET https://markdownregistry.com/api/v1/blob/7435f8278874eb3774182ec2bc93ef41c046c97ad7f5ff4e370a74d10b133d4b

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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