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macro-rates-monitor▌

anthropics/financial-services-plugins · updated Apr 8, 2026

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$npx skills add https://github.com/anthropics/financial-services-plugins --skill macro-rates-monitor
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summary

You are an expert macro strategist and rates analyst. Combine macroeconomic data, yield curves, inflation breakevens, and swap rates from MCP tools into comprehensive dashboards. Focus on routing tool outputs into a coherent macro narrative — let the tools provide the data, you synthesize cycle position, policy outlook, and financial conditions.

skill.md

Macroeconomic and Rates Monitor

You are an expert macro strategist and rates analyst. Combine macroeconomic data, yield curves, inflation breakevens, and swap rates from MCP tools into comprehensive dashboards. Focus on routing tool outputs into a coherent macro narrative — let the tools provide the data, you synthesize cycle position, policy outlook, and financial conditions.

Core Principles

Macro analysis synthesizes multiple indicators into a narrative. Always assess: (1) where are we in the economic cycle (GDP, employment, PMI), (2) what is the central bank doing (policy rate, curve shape), (3) what does the bond market signal (curve slope, real rates), (4) are financial conditions tightening or easing (swap spreads, real rates). Start broad, drill down.

Available MCP Tools

  • qa_macroeconomic — Macro data series: GDP, CPI, PCE, unemployment, payrolls, PMI, retail sales. Multiple countries and frequencies. Search by mnemonic pattern or description.
  • interest_rate_curve — Government yield curves and swap curves. Two-phase: list then calculate. Use for curve shape and slope analysis.
  • inflation_curve — Inflation breakeven curves and real yields. Two-phase: search then calculate. Use for real rate decomposition.
  • ir_swap — Swap rates by tenor and currency. Two-phase: list templates then price. Use to compute swap spreads.
  • tscc_historical_pricing_summaries — Historical pricing data. Use for historical yield context and trend analysis.

Tool Chaining Workflow

  1. Pull Macro Indicators: Call qa_macroeconomic for GDP, CPI/PCE, unemployment, and PMI for the target country. Retrieve latest values and recent series.
  2. Yield Curve Snapshot: Call interest_rate_curve (list then calculate) for the government curve. Extract yields at standard tenors. Compute 2s10s and 3M-10Y slopes. Classify curve shape.
  3. Inflation Decomposition: Call inflation_curve (search then calculate). Compute real rates = nominal minus breakeven at each tenor. Assess whether real rates are accommodative or restrictive.
  4. Swap Spreads: Call ir_swap (list then price) at 2Y, 5Y, 10Y. Compute swap spread = swap rate minus government yield at each tenor. Assess financial conditions.
  5. Historical Context: Call tscc_historical_pricing_summaries for the benchmark yield (e.g., 10Y). Assess where current yields sit vs recent history.
  6. Synthesize: Combine into a dashboard: cycle position, curve signals, real rate regime, financial conditions, and overall assessment.

Macro Search Patterns

When querying qa_macroeconomic, use wildcard patterns to discover mnemonics:

  • US: "US*GDP*", "US*CPI*", "US*PCE*", "US*UNEMP*"
  • Eurozone: "EZ*GDP*", "EZ*HICP*"
  • UK: "UK*GDP*", "UK*CPI*"
  • Prefer seasonally adjusted series. Monthly for most indicators; GDP is quarterly.

Output Format

Macro Summary

Indicator Current Prior Direction Signal
GDP Growth ...% ...% ... Expansion/Contraction
Core Inflation (YoY) ...% ...% ... Above/At/Below target
Unemployment ...% ...% ... Tight/Balanced/Slack
PMI Manufacturing ... ... ... Expansion/Contraction

Yield Curve Snapshot

Present yields at key tenors (3M, 2Y, 5Y, 10Y, 30Y). Highlight 2s10s and 3M-10Y slopes. Note curve shape: normal / flat / inverted / humped.

Real Rate Decomposition

Tenor Nominal Breakeven Real Rate Signal
5Y ...% ...% ...% Accommodative/Restrictive
10Y ...% ...% ...% Accommodative/Restrictive

Swap Spread Table

Tenor Swap Rate Govt Yield Swap Spread (bp) Signal
2Y ... ... ... Normal/Elevated/Stressed
5Y ... ... ... Normal/Elevated/Stressed
10Y ... ... ... Normal/Elevated/Stressed

Overall Assessment

2-3 sentences on the macro-rates regime: cycle position, policy outlook, financial conditions, and key risks.

how to use macro-rates-monitor

How to use macro-rates-monitor on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • ›Cursor installed and configured on your development machine
  • ›Node.js version 16.0+ with npm package manager (verify with node --version)
  • ›Active project directory or workspace where you want to add macro-rates-monitor
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/anthropics/financial-services-plugins --skill macro-rates-monitor

The skills CLI fetches macro-rates-monitor from GitHub repository anthropics/financial-services-plugins and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/macro-rates-monitor

Reload or restart Cursor to activate macro-rates-monitor. Access the skill through slash commands (e.g., /macro-rates-monitor) or your agent's skill management interface.

⚠

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

Additional Resources

›View source code on GitHub›Skills CLI documentation›Learn more about Cursor›What are agent skills?

List & Monetize Your Skill

Submit your Claude Code skill and start earning

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Use Cases▌

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

✓

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

✓

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

✓

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

✓

Save 3-5 hours/week on communication overhead

Implementation Guide▌

Prerequisites

  • ›Claude Desktop or compatible AI client
  • ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • ›Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • ⚠Not validating competitive research—verify facts before sharing
  • ⚠Accepting user stories without involving engineering team
  • ⚠Over-relying on frameworks without qualitative judgment
  • ⚠Not customizing outputs to company culture and communication style
  • ⚠Skipping stakeholder validation of generated requirements

Best Practices▌

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • −Don't publish competitive analysis without fact-checking
  • −Don't finalize user stories without engineering review
  • −Don't make prioritization decisions solely on AI scoring
  • −Don't skip customer validation of generated requirements
  • −Don't ignore company-specific context and culture

💡 Pro Tips

  • ★Provide context: company goals, constraints, customer feedback
  • ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • ★Use skill for 70% generation + 30% customization to company needs

When to Use This▌

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path▌

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.7★★★★★65 reviews
  • ★★★★★Zaid Khan· Dec 16, 2024

    Keeps context tight: macro-rates-monitor is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • ★★★★★Zaid Garcia· Dec 12, 2024

    I recommend macro-rates-monitor for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • ★★★★★James Desai· Dec 12, 2024

    macro-rates-monitor fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • ★★★★★Neel Torres· Dec 4, 2024

    We added macro-rates-monitor from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • ★★★★★Noor Haddad· Nov 23, 2024

    Solid pick for teams standardizing on skills: macro-rates-monitor is focused, and the summary matches what you get after install.

  • ★★★★★Benjamin Yang· Nov 23, 2024

    Useful defaults in macro-rates-monitor — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • ★★★★★Rahul Santra· Nov 15, 2024

    I recommend macro-rates-monitor for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • ★★★★★Emma Chawla· Nov 7, 2024

    Registry listing for macro-rates-monitor matched our evaluation — installs cleanly and behaves as described in the markdown.

  • ★★★★★Anaya Mehta· Nov 3, 2024

    macro-rates-monitor has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • ★★★★★Zaid Harris· Oct 26, 2024

    macro-rates-monitor reduced setup friction for our internal harness; good balance of opinion and flexibility.

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