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Portfolio Monitoring

OrganizationPopular
anthropics
portfolio-monitoring

Track and analyze portfolio company performance against plan. Ingests monthly/quarterly financial packages (Excel, PDF), extracts KPIs, flags variances to budget, and produces summary dashboards. Use when reviewing portfolio company financials, preparing board materials, or monitoring covenant compliance. Triggers on "review portfolio company", "monthly financials", "how is [company] performing", "covenant check", or "portfolio update".

Overview

Publisheranthropics
Repositoryfinancial-services
Skill nameportfolio-monitoring
Stars
38.4K
Forks
5.5K
Bundled files
Instructions only
LicenseApache-2.0
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Portfolio Monitoring 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.
    https://github.com/anthropics/financial-services/tree/main/plugins/agent-plugins/valuation-reviewer/skills/portfolio-monitoring
  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/anthropics/financial-services.git /tmp/financial-services
mkdir -p .claude/skills
cp -r /tmp/financial-services/plugins/agent-plugins/valuation-reviewer/skills/portfolio-monitoring .claude/skills/portfolio-monitoring
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Portfolio Monitoring 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 Portfolio Monitoring 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 Portfolio Monitoring 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.

Portfolio Monitoring

Workflow

Step 1: Ingest Financial Package

  • Accept the user's portfolio company financial package (Excel workbook, PDF, or CSV)
  • Extract key financials: Revenue, EBITDA, cash balance, debt outstanding, capex, working capital
  • Identify the reporting period and compare to prior period and budget/plan

Step 2: KPI Extraction & Variance Analysis

Key metrics to track (adapt to the company's sector):

Financial KPIs:

  • Revenue vs. budget ($ and %)
  • EBITDA and EBITDA margin vs. budget
  • Cash balance and net debt
  • Leverage ratio (Net Debt / LTM EBITDA)
  • Interest coverage ratio
  • Capex vs. budget
  • Free cash flow

Operational KPIs (ask user or infer from data):

  • Customer count / revenue per customer
  • Employee headcount / revenue per employee
  • Backlog / pipeline
  • Churn / retention rates

Step 3: Flag & Summarize

  • Green: Within 5% of plan
  • Yellow: 5-15% below plan — flag for discussion
  • Red: >15% below plan or covenant breach risk — immediate attention

Output a concise summary:

  1. One-paragraph executive summary ("Company X is tracking [ahead/behind/on] plan...")
  2. KPI table with actual vs. budget vs. prior period
  3. Red/yellow flags with context
  4. Covenant compliance status (if applicable)
  5. Questions for management

Step 4: Trend Analysis

If multiple periods are provided:

  • Chart key metrics over time (revenue, EBITDA, cash)
  • Identify trends — accelerating, decelerating, or stable
  • Compare vs. underwriting case

Important Notes

  • Always ask for the budget/plan to compare against if not provided
  • Don't assume sector-specific KPIs — ask what matters for this company
  • If covenant levels aren't known, ask the user for the credit agreement terms
  • Output should be board-ready — concise, factual, no fluff

Frequently asked questions

What does the Portfolio Monitoring AI skill do?

Track and analyze portfolio company performance against plan. Ingests monthly/quarterly financial packages (Excel, PDF), extracts KPIs, flags variances to budget, and produces summary dashboards. Use when reviewing portfolio company financials, preparing board materials, or monitoring covenant compliance. Triggers on "review portfolio company", "monthly financials", "how is [company] performing", "covenant check", or "portfolio update".

Why use Portfolio Monitoring on TypingMind?

Because you install it once and use it with any model. Portfolio Monitoring 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 Portfolio Monitoring in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/anthropics/financial-services/tree/main/plugins/agent-plugins/valuation-reviewer/skills/portfolio-monitoring. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Portfolio Monitoring?

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 Portfolio Monitoring?

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

Is the Portfolio Monitoring AI skill free?

Yes. It is published on GitHub by anthropics under the Apache-2.0 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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