analyzing-esg-integration

Integrates ESG factors into investment analysis with scoring methodology and impact measurement. Use when implementing ESG integration, scoring ESG factors, or measuring sustainability impact.

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Best use case

analyzing-esg-integration is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Integrates ESG factors into investment analysis with scoring methodology and impact measurement. Use when implementing ESG integration, scoring ESG factors, or measuring sustainability impact.

Teams using analyzing-esg-integration should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/analyzing-esg-integration/SKILL.md --create-dirs "https://raw.githubusercontent.com/CaseMark/skills/main/skills/finance/analyzing-esg-integration/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/analyzing-esg-integration/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How analyzing-esg-integration Compares

Feature / Agentanalyzing-esg-integrationStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Integrates ESG factors into investment analysis with scoring methodology and impact measurement. Use when implementing ESG integration, scoring ESG factors, or measuring sustainability impact.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Analyzing ESG Integration

## When To Use

- Evaluating a portfolio or individual holding for environmental, social, and governance risk exposure
- Building or refining an ESG scoring methodology for an investment strategy
- Conducting due diligence on ESG claims made by fund managers or issuers
- Measuring portfolio-level sustainability impact against stated objectives (e.g., net-zero alignment, SDG contribution)
- Comparing ESG integration approaches across managers or mandates for asset-owner selection decisions

## Inputs To Gather

- **Investment universe or holdings list** — ticker/ISIN-level with sector, geography, and market cap
- **ESG data sources** — specify providers (e.g., MSCI, Sustainalytics, ISS, Bloomberg ESG, CDP) and vintages; note any proprietary or self-reported data
- **Framework alignment** — which standards apply: SASB materiality map, TCFD pillars, EU SFDR classification (Article 6/8/9), UN PRI integration expectations [VERIFY jurisdiction-specific disclosure regime]
- **Scoring parameters** — weighting scheme (equal-weight, materiality-adjusted, sector-relative), score scale, and handling of missing data (exclude, impute, penalize)
- **Benchmark and peer set** — ESG benchmark index (e.g., MSCI ESG Leaders, S&P Paris-Aligned) and relevant peer portfolios
- **Client or mandate constraints** — exclusion lists (controversial weapons, thermal coal thresholds, tobacco), minimum ESG score floors, impact KPIs

## Workflow

1. **Map material ESG factors to the investment universe**
   - Use the SASB materiality map (or equivalent) to identify the 3–5 most financially material E, S, and G factors per sector
   - For each holding, pull raw indicator data from the designated providers
   - Flag holdings with no coverage or stale data (>12 months) as [VERIFY]

2. **Normalize and score**
   - Convert raw indicators to a common scale (e.g., 0–10 or percentile rank within sector)
   - Apply the agreed weighting scheme — document the rationale for any materiality tilts
   - Calculate pillar scores (E, S, G) and a composite ESG score per holding
   - Handle controversies separately: overlay a controversy adjustment that can downgrade scores regardless of pillar performance

3. **Aggregate to portfolio level**
   - Compute weighted-average ESG scores using portfolio weights
   - Generate distribution analysis: histogram of holding-level scores, identification of bottom-quintile laggards
   - Compare portfolio scores against the benchmark and peer set on each pillar

4. **Assess impact metrics**
   - Map holdings to impact KPIs where applicable (carbon intensity in tCO2e/$M revenue, board gender diversity %, water withdrawal intensity)
   - Calculate portfolio-level impact metrics and year-over-year trajectory
   - For climate-specific mandates, run implied temperature rise (ITR) or Paris-alignment analysis [VERIFY methodology: SBTi, TPI, or proprietary]

5. **Identify risks and engagement opportunities**
   - Flag holdings with high ESG momentum (improving trend) vs. deteriorating profiles
   - Highlight governance red flags: dual-class structures, related-party transactions, auditor qualifications
   - Recommend engagement priorities for holdings where score improvement is achievable and material

6. **Document and deliver**
   - Compile the ESG integration report with executive summary, methodology appendix, and data-source inventory
   - Include limitations: data gaps, provider disagreements, and sectors with weak ESG disclosure

## Output

The deliverable is an **ESG Integration Analysis Report** containing:

- **Executive summary** — portfolio ESG positioning vs. benchmark, key risks, and top engagement targets
- **Scoring methodology** — factor selection, weighting rationale, controversy overlay logic, and missing-data treatment
- **Holding-level scorecards** — composite and pillar scores with underlying indicators for each position
- **Portfolio-level dashboard** — weighted-average scores, distribution charts, sector/geography heatmaps
- **Impact metrics table** — quantified KPIs (carbon intensity, diversity metrics, etc.) with benchmark comparison
- **Risk and opportunity register** — laggards, improvers, exclusion-boundary cases, and engagement recommendations
- **Data quality log** — coverage gaps, provider disagreements, and any [VERIFY] items requiring manual confirmation

## Quality Checks

- Confirm all ESG data vintages are within the agreed staleness threshold; flag any holding where providers materially disagree (>2 quintile spread)
- Verify weighting scheme sums to 100% at each aggregation level and that no single factor dominates due to data availability bias
- Cross-check exclusion screen results against the mandate's negative list — zero tolerance for misclassification on controversial weapons and sanctions [VERIFY applicable exclusion regulations]
- Validate portfolio carbon intensity calculation against a second source or manual spot-check of the top-10 contributors
- Ensure SFDR classification alignment if the product is marketed in the EU — Article 8 requires minimum environmental/social characteristics disclosure; Article 9 requires a sustainable investment objective [VERIFY latest RTS requirements]
- Review for internal consistency: a holding cannot score top-decile on governance while carrying an unresolved major controversy flag without explicit justification

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