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fund-impact-report-parser

Parse annual impact reports into structured comparison rows.

Updated May 15, 2026
Search Tags:#impact investing#impact reporting#annual report analysis#comparability analysis#structured data extraction
One-click install
npx skills add https://github.com/TerminalGambit/fof-impact-nature-skills --skill fund-impact-report-parser
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fund-impact-report-parser
Source: https://github.com/TerminalGambit/fof-impact-nature-skills/tree/main/fund-impact-report-parser
Command: npx skills add https://github.com/TerminalGambit/fof-impact-nature-skills --skill fund-impact-report-parser

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, regex, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the analysis of annual impact reports and extracts comparable structured rows for side-by-side comparison across managers, streamlining the process of impact investing diligence.

Core Features & Use Cases

  • Report Parsing: Automatically parse theory of change, IRIS+ metrics, IMP five-dimensions, verification methods, additionality claims, SDG alignment, negative impact disclosure, regen/natural-capital specifics, carbon claims, and verification gaps.
  • Comparison Row Generation: Outputs a structured row per fund for comparison in a table format, supporting both markdown table rows and JSON objects.
  • Use Case: Imagine you have multiple annual impact reports from various funds. Use this Skill to parse the reports and generate a comparison table with rows for each fund, allowing for a side-by-side analysis of the impact metrics.

Quick Start

Use the fund-impact-report-parser skill to parse the impact report for [Fund Name] and generate a comparability row.

Frequently Asked Questions about fund-impact-report-parser

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract IRIS+ metrics and theory of change data from annual impact reports?▼

Impact report analysis automates the extraction of structured data points like IRIS+ metrics, theory of change, and IMP dimensions from annual reports. It parses text to generate comparable rows for side-by-side fund analysis.

What is the best way to compare impact investing metrics across multiple fund managers?▼

Comparability analysis across fund managers is done by generating a structured comparison table. This approach outputs markdown table rows or JSON objects per fund, standardizing theory of change and verification gaps for diligence.

Do I need Python and pandas to parse annual impact reports for structured data?▼

Yes, Python with pandas, numpy, and regex are required dependencies for parsing text and handling data. These libraries enable the extraction of SDG alignment, carbon claims, and additionality data from the reports.

Can I extract regen and natural capital disclosures from unstructured fund reports?▼

Yes, report parsing extracts regen and natural-capital specifics, alongside negative impact disclosures and verification methods. It processes unstructured text to identify and structure these targeted impact investing claims.

How do I generate a comparison table from annual impact reports for LP diligence?▼

To generate a comparison table for LP diligence, parse each annual impact report to output a structured comparability row. This standardizes metrics across managers, streamlining the impact investing evaluation process.

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