Agent skill · Data & Analytics

institutional-flow-tracker

Use this skill to track institutional investor ownership changes and portfolio flows using 13F filings data. Analyzes hedge funds, mutual funds, and other institutional holders to identify stocks with significant smart money accumulation or distribution. Helps discover stocks before major moves by following where sophisticated investors are deploying capital.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill institutional-flow-tracker --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 13 KB
Bundled scripts: none
Path: skills/analysis/institutional-flow-tracker/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Institutional Flow Tracker ## Overview This skill tracks institutional investor activity through 13F SEC filings to identify "smart money" flows into and out of stocks. By analyzing quarterly changes in institutional ownership, you can discover stocks that sophisticated investors are accumulating before major price moves, or identify potential risks when institutions are reducing positions. **Key Insight:** Institutional investors (hedge funds, pension funds, mutual funds) manage trillions of dollars and conduct extensive research. Their collective buying/selling patterns often precede significant price movements by 1-3 quarters. ## When to Use This Skill Use this skill when: - Validating investment ideas (checking if smart money agrees with your thesis) - Discovering new opportunities (finding stocks institutions are accumulating) - Risk assessment (identifying stocks institutions are exiting) - Portfolio monitoring (tracking institutional support for your holdings) - Following specific investors (tracking Warren Buffett, Cathie Wood, etc.) - Sector rotation analysis (identifying where institutions are rotating capital) **Do NOT use when:** - Seeking real-time intraday signals (

What's inside
Steps it walks through
  1. Overview
  2. When to Use This Skill
  3. Data Sources & Requirements
  4. Required: FMP API Key
  5. Analysis Workflow
  6. Step 1: Identify Stocks with Significant Institutional Changes
  7. Step 2: Deep Dive on Specific Stocks
  8. Step 3: Track Specific Institutional Investors
  9. Step 4: Interpretation and Action
  10. Step 5: Portfolio Application
  11. Output Format
  12. Limitations and Caveats
  13. Advanced Use Cases
  14. References
Ships with 1 file
  • metadata.json
Commands it runs
Set environment variable (preferred)
export FMP_API_KEY=your_key_here
Or provide when running scripts
python3 scripts/track_institutional_flow.py --api-key YOUR_KEY
python3 institutional-flow-tracker/scripts/track_institutional_flow.py \
python3 institutional-flow-tracker/scripts/analyze_single_stock.py AAPL
Track Warren Buffett's Berkshire Hathaway
python3 institutional-flow-tracker/scripts/track_institution_portfolio.py \
Track Cathie Wood's ARK Investment Management
More from claude-skill-registry
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About this skill
What does the institutional-flow-tracker skill do?

Use this skill to track institutional investor ownership changes and portfolio flows using 13F filings data. Analyzes hedge funds, mutual funds, and other institutional holders to identify stocks with significant smart money accumulation or distribution. Helps discover stocks before major moves by following where sophisticated investors are deploying capital.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill institutional-flow-tracker --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going