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

team-health skillA

team-health is agent-read markdown (skill) from techwolf-ai/ai-first-toolkit: Periodic check on team dynamics, engagement signals, and development trajectory for all direct reports. Surfaces patterns across the team: who might need more challenge, who might need more support, who hasn't had a 1:1 recently. Uses two universal lenses: performance & growth, and wellbeing & connection. Outputs are prompts for reflection, not diagnoses..

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

# Team Health Check

> **Two lenses, always.** "Development" asks: is this person growing and performing? "Wellbeing" asks: is this person thriving, connected, and energised? Great managers hold both.

A periodic overview of team dynamics, engagement signals, wellbeing, and development trajectory across all direct reports.

## When to Use

- Weekly or biweekly team health review
- Before calibration or planning meetings
- When the manager says "how's my team doing?", "team health check", "anyone I should check in with?"
- When preparing for skip-level conversations

## Instructions

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

### 1. Load Team Context

Read from `manager-context/`:
- `manager-profile.md`: full list of direct reports
- `team/`: individual profiles with goals, projects, last review dates
- `sources.md`: channels and data locations per team member

If context is missing, note it and work with available sources.

### 2. Scan Per Team Member

For each direct report, gather data from the last 14 days (or since last health check):

**Activity & Engagement (Slack):**
…

Read the whole file at its exact version.

How to install

Latest version
mdr add techwolf-ai/ai-first-toolkit/team-health@git:20260610.38aa811
Exact content
mdr add techwolf-ai/ai-first-toolkit/team-health@sha256:7391ba7ee72bc4e0

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

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Versions

versioncommittedcommitsizeaudit
git:20260610.38aa811 latest2026-06-10 38aa811 7,149 BA view · diff
git:20260410.852272e2026-04-10 852272e 7,161 BA view · diff
git:20260326.c5593b42026-03-26 c5593b4 7,211 BA view · diff
git:20260324.2d534742026-03-24 2d53474 7,236 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 (7149 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_7vd3o23elavaqvlf
GET https://markdownregistry.com/api/v1/resolve?ref=techwolf-ai/ai-first-toolkit/team-health
GET https://markdownregistry.com/api/v1/blob/7391ba7ee72bc4e0e32a5f085e96d8bdf50d201b531a249f70584c8c2b31ce6d

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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