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Org Health Diagnostic

CommunityPopular
alirezarezvani
org-health-diagnostic

Cross-functional organizational health check combining signals from all C-suite roles. Scores 8 dimensions on a traffic-light scale with drill-down recommendations. Use when assessing overall company health, preparing for board reviews, identifying at-risk functions, or when user mentions org health, health check, or health dashboard.

Overview

Publisheralirezarezvani
Repositoryclaude-skills
Skill nameorg-health-diagnostic
Stars
26.1K
Forks
3.7K
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by alirezarezvani on GitHub. Read the source before you install it.

Installation

Install the Org Health Diagnostic AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/c-level-advisor/skills/org-health-diagnostic .claude/skills/org-health-diagnostic
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Org Health Diagnostic in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Org Health Diagnostic on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Org Health Diagnostic is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Org Health Diagnostic

Eight dimensions. Traffic lights. Real benchmarks. Surfaces the problems you don't know you have.

Keywords

org health, organizational health, health diagnostic, health dashboard, health check, company health, functional health, team health, startup health, health scorecard, health assessment, risk dashboard

Quick Start

bash
python scripts/health_scorer.py        # Guided CLI — enter metrics, get scored dashboard
python scripts/health_scorer.py --json # Output raw JSON for integration

Or describe your metrics in natural language:

"Run an org health check" — paste your key metrics or answer prompts "Score our [financial|revenue|product|engineering|people|ops|security|market] health" — single-dimension deep dive

The 8 Dimensions

1. 💰 Financial Health (CFO)

What it measures: Can we fund operations and invest in growth?

Key metrics:

  • Runway — months at current burn (Green: >12, Yellow: 6-12, Red: <6)
  • Burn multiple — net burn / net new ARR (Green: <1.5x, Yellow: 1.5-2.5x, Red: >2.5x)
  • Gross margin — SaaS target: >65% (Green: >70%, Yellow: 55-70%, Red: <55%)
  • MoM growth rate — contextual by stage (see benchmarks)
  • Revenue concentration — top customer % of ARR (Green: <15%, Yellow: 15-25%, Red: >25%)

2. 📈 Revenue Health (CRO)

What it measures: Are customers staying, growing, and recommending us?

Key metrics:

  • NRR (Net Revenue Retention) — Green: >110%, Yellow: 100-110%, Red: <100%
  • Logo churn rate (annualized) — Green: <5%, Yellow: 5-10%, Red: >10%
  • Pipeline coverage (next quarter) — Green: >3x, Yellow: 2-3x, Red: <2x
  • CAC payback period — Green: <12 months, Yellow: 12-18, Red: >18 months
  • Average ACV trend — directional: growing, flat, declining

3. 🚀 Product Health (CPO)

What it measures: Do customers love and use the product?

Key metrics:

  • NPS — Green: >40, Yellow: 20-40, Red: <20
  • DAU/MAU ratio — engagement proxy (Green: >40%, Yellow: 20-40%, Red: <20%)
  • Core feature adoption — % of users using primary value feature (Green: >60%)
  • Time-to-value — days from signup to first core action (lower is better)
  • Customer satisfaction (CSAT) — Green: >4.2/5, Yellow: 3.5-4.2, Red: <3.5

4. ⚙️ Engineering Health (CTO)

What it measures: Can we ship reliably and sustain velocity?

Key metrics:

  • Deployment frequency — Green: daily, Yellow: weekly, Red: monthly or less
  • Change failure rate — % of deployments causing incidents (Green: <5%, Red: >15%)
  • Mean time to recovery (MTTR) — Green: <1 hour, Yellow: 1-4 hours, Red: >4 hours
  • Tech debt ratio — % of sprint capacity on debt (Green: <20%, Yellow: 20-35%, Red: >35%)
  • Incident frequency — P0/P1 per month (Green: <2, Yellow: 2-5, Red: >5)

5. 👥 People Health (CHRO)

What it measures: Is the team stable, engaged, and growing?

Key metrics:

  • Regrettable attrition (annualized) — Green: <10%, Yellow: 10-20%, Red: >20%
  • Engagement score — (eNPS or similar; Green: >30, Yellow: 0-30, Red: <0)
  • Time-to-fill (avg days) — Green: <45, Yellow: 45-90, Red: >90
  • Manager-to-IC ratio — Green: 1:5–1:8, Yellow: 1:3–1:5 or 1:8–1:12, Red: outside
  • Internal promotion rate — at least 25-30% of senior roles filled internally

6. 🔄 Operational Health (COO)

What it measures: Are we executing our strategy with discipline?

Key metrics:

  • OKR completion rate — % of key results hitting target (Green: >70%, Yellow: 50-70%, Red: <50%)
  • Decision cycle time — days from decision needed to decision made (Green: <48h, Yellow: 48h-1w)
  • Meeting effectiveness — % of meetings with clear outcome (qualitative)
  • Process maturity — level 1-5 scale (see COO advisor)
  • Cross-functional initiative completion — % on time, on scope

7. 🔒 Security Health (CISO)

What it measures: Are we protecting customers and maintaining compliance?

Key metrics:

  • Security incidents (last 90 days) — Green: 0, Yellow: 1-2 minor, Red: 1+ major
  • Compliance status — certifications current/in-progress vs. overdue
  • Vulnerability remediation SLA — % of critical CVEs patched within SLA (Green: 100%)
  • Security training completion — % of team current (Green: >95%)
  • Pen test recency — Green: <12 months, Yellow: 12-24, Red: >24 months

8. 📣 Market Health (CMO)

What it measures: Are we winning in the market and growing efficiently?

Key metrics:

  • CAC trend — improving, flat, or worsening QoQ
  • Organic vs paid lead mix — more organic = healthier (less fragile)
  • Win rate — % of qualified opportunities closed-won (Green: >25%, Yellow: 15-25%, Red: <15%)
  • Competitive win rate — against primary competitors specifically
  • Brand NPS — awareness + preference scores in ICP

Scoring & Traffic Lights

Each dimension is scored 1-10 with traffic light:

  • 🟢 Green (7-10): Healthy — maintain and optimize
  • 🟡 Yellow (4-6): Watch — trend matters; improving or declining?
  • 🔴 Red (1-3): Action required — address within 30 days

Overall Health Score: Weighted average by company stage (see references/health-benchmarks.md for weights).


Dimension Interactions (Why One Problem Creates Another)

If this dimension is red...Watch these dimensions next
Financial HealthPeople (freeze hiring) → Engineering (freeze infra) → Product (cut scope)
Revenue HealthFinancial (cash gap) → People (attrition risk) → Market (lose positioning)
People HealthEngineering (velocity drops) → Product (quality drops) → Revenue (churn rises)
Engineering HealthProduct (features slip) → Revenue (deals stall on product)
Product HealthRevenue (NRR drops, churn rises) → Market (CAC rises; referrals dry up)
Operational HealthAll dimensions degrade over time (execution failure cascades everywhere)

Dashboard Output Format

ORG HEALTH DIAGNOSTIC — [Company] — [Date]
Stage: [Seed/A/B/C]   Overall: [Score]/10   Trend: [↑ Improving / → Stable / ↓ Declining]

DIMENSION SCORES
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
💰 Financial    🟢 8.2  Runway 14mo, burn 1.6x — strong
📈 Revenue      🟡 5.8  NRR 104%, pipeline thin (1.8x coverage)
🚀 Product      🟢 7.4  NPS 42, DAU/MAU 38%
⚙️  Engineering  🟡 5.2  Debt at 30%, MTTR 3.2h
👥 People       🔴 3.8  Attrition 24%, eng morale low
🔄 Operations   🟡 6.0  OKR 65% completion
🔒 Security     🟢 7.8  SOC 2 Type II complete, 0 incidents
📣 Market       🟡 5.5  CAC rising, win rate dropped to 22%
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

TOP PRIORITIES
🔴 [1] People: attrition at 24% — engineering velocity will drop in 60 days
   Action: CHRO + CEO to run retention audit; target top 5 at-risk this week
🟡 [2] Revenue: pipeline coverage at 1.8x — Q+1 miss risk is high
   Action: CRO to add 3 qualified opps within 30 days or shift forecast down
🟡 [3] Engineering: tech debt at 30% of sprint — shipping will slow by Q3
   Action: CTO to propose debt sprint plan; COO to protect capacity

WATCH
→ People → Engineering cascade risk if attrition continues (see dimension interactions)

Graceful Degradation

You don't need all metrics to run a diagnostic. The tool handles partial data:

  • Missing metric → excluded from score, flagged as "[data needed]"
  • Score still valid for available dimensions
  • Report flags which gaps to fill for next cycle

References

  • references/health-benchmarks.md — benchmarks by stage (Seed, A, B, C)
  • scripts/health_scorer.py — CLI scoring tool with traffic light output

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Org Health Diagnostic AI skill do?

Cross-functional organizational health check combining signals from all C-suite roles. Scores 8 dimensions on a traffic-light scale with drill-down recommendations. Use when assessing overall company health, preparing for board reviews, identifying at-risk functions, or when user mentions org health, health check, or health dashboard.

Why use Org Health Diagnostic on TypingMind?

Because you install it once and use it with any model. Org Health Diagnostic is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Org Health Diagnostic in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/alirezarezvani/claude-skills/tree/main/c-level-advisor/skills/org-health-diagnostic. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Org Health Diagnostic?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Org Health Diagnostic?

As many as you like. As long as a model supports skills, you can use Org Health Diagnostic with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Org Health Diagnostic AI skill free?

Yes. It is published on GitHub by alirezarezvani under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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