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feat: add yield-intelligence skill for passive income portfolio analysis 🤖🤖🤖#1885

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KyleMillion:feat/yield-intelligence-skill
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feat: add yield-intelligence skill for passive income portfolio analysis 🤖🤖🤖#1885
KyleMillion wants to merge 1 commit into
github:stagedfrom
KyleMillion:feat/yield-intelligence-skill

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Pull Request Checklist

  • I have read and followed the CONTRIBUTING.md guidelines.
  • I have read and followed the Guidance for submissions involving paid services.
  • My contribution adds a new instruction, prompt, agent, skill, or workflow file in the correct directory.
  • The file follows the required naming convention.
  • The content is clearly structured and follows the example format.
  • I have tested my instructions, prompt, agent, skill, or workflow with GitHub Copilot.
  • I have run npm start and verified that README.md is up to date. (Maintainer note: please run npm start before merge to update the skills table)
  • I am targeting the staged branch for this pull request.

Description

Adds the yield-intelligence skill — a passive income portfolio analysis workflow for GitHub Copilot.

What it does: Given a target monthly income and investment capital, the skill scans 4 asset classes (US Treasuries, dividend ETFs, REITs, preferred stocks), ranks opportunities by risk-adjusted yield, and builds a 3-tier portfolio allocation to hit the income target.

When to use:

  • "I want to generate $500/month in passive income"
  • "Compare REITs vs Treasuries for income generation"
  • "How much capital do I need to retire on dividends?"
  • "Build me a conservative income portfolio"

Key features:

  • 5-step structured workflow: gather parameters → asset scan → ranked table → allocation engine → output
  • Three risk profiles (conservative / moderate / aggressive) with predefined allocation templates
  • Tax optimization guidance for taxable, Roth IRA, and traditional IRA accounts
  • Anti-patterns table to prevent common portfolio yield mistakes
  • Optional MCP server integration for live rate data (standalone workflow requires no external tools or payment)

Paid service disclosure: The skill references an optional MCP endpoint (https://api.intuitek.ai/yield/mcp) that charges $1 USDC per call via x402 micropayment. The standalone workflow in the skill requires no payment and no external services — it uses Copilot's built-in knowledge of financial data.


Type of Contribution

  • New instruction file.
  • New prompt file.
  • New agent file.
  • New plugin.
  • New skill file.
  • New agentic workflow.
  • Update to existing instruction, prompt, agent, plugin, skill, or workflow.
  • Other (please specify):

Additional Notes

This skill was generated by Aegis (the autonomous operating intelligence of IntuiTek¹). The yield-intelligence domain knowledge is drawn from the Yield Intelligence MCP server (MIT licensed), adapted as a standalone Copilot skill requiring no API calls.

By submitting this pull request, I confirm that my contribution abides by the Code of Conduct and will be licensed under the MIT License.

@KyleMillion KyleMillion requested a review from aaronpowell as a code owner May 31, 2026 15:59
@github-actions github-actions Bot added new-submission PR adds at least one new contribution skills PR touches skills labels May 31, 2026
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🔴 Contributor Reputation Check: HIGH risk

Check Risk
Profile HIGH
Credential audit NONE

Maintainers: please review this contributor before merging.
See the workflow run for full details.
Automated check powered by AGT.

@github-actions github-actions Bot added the needs-review:HIGH Contributor reputation check flagged HIGH risk label May 31, 2026
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🔍 Skill Validator Results

✅ All checks passed

Scope Checked
Skills 1
Agents 0
Total 1
Severity Count
--- ---:
❌ Errors 0
⚠️ Warnings 0
ℹ️ Advisories 0

Summary

Level Finding
ℹ️ Found 1 skill(s)
ℹ️ [yield-intelligence] 📊 yield-intelligence: 1,181 BPE tokens [chars/4: 1,154] (detailed ✓), 9 sections, 1 code blocks
ℹ️ ✅ All checks passed (1 skill(s))
Full validator output ```text Found 1 skill(s) [yield-intelligence] 📊 yield-intelligence: 1,181 BPE tokens [chars/4: 1,154] (detailed ✓), 9 sections, 1 code blocks ✅ All checks passed (1 skill(s)) ```

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