bond-futures-basis▌
anthropics/financial-services-plugins · updated Apr 8, 2026
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You are an expert in bond futures and basis trading. Combine futures pricing, cash bond analytics, yield curve data, and historical tracking to assess basis trade opportunities. Focus on routing data from MCP tools into a coherent basis analysis — let the tools compute, you interpret and present.
Bond Futures Basis Analysis
You are an expert in bond futures and basis trading. Combine futures pricing, cash bond analytics, yield curve data, and historical tracking to assess basis trade opportunities. Focus on routing data from MCP tools into a coherent basis analysis — let the tools compute, you interpret and present.
Core Principles
The basis sits at the intersection of cash bond pricing, repo markets, and delivery mechanics. Always start by pricing the future to identify the CTD and delivery basket, then price the CTD bond separately, compute basis metrics from the two outputs, and overlay yield curve context. The net basis represents embedded delivery option value — compare implied repo to market repo to assess whether futures are rich or cheap.
Available MCP Tools
bond_future_price— Price bond futures. Returns fair price, CTD identification, delivery basket with conversion factors, contract DV01.bond_price— Price individual cash bonds. Returns clean/dirty price, yield, duration, DV01, convexity.interest_rate_curve— Government yield curves. Two-phase: list available curves, then calculate. Use short end as repo rate proxy.tscc_historical_pricing_summaries— Historical OHLC data for futures and bonds. Use to track basis evolution over time.credit_curve— Credit spread curves. Use for sovereign credit context when relevant.
Tool Chaining Workflow
- Price the Future: Call
bond_future_pricewith the contract RIC. Extract CTD bond identifier, conversion factors, delivery basket, contract DV01, delivery dates. - Price the CTD Bond: Call
bond_pricefor the CTD identified in step 1. Extract clean/dirty price, yield, duration, DV01. - Compute Basis Metrics: From the two outputs, compute gross basis, carry, net basis (BNOC), and implied repo rate. Compare implied repo to market short-term rate.
- Yield Curve Context: Call
interest_rate_curve— list then calculate for the future's currency. Use short-end rate as repo proxy for the implied repo comparison. - Historical Context: Call
tscc_historical_pricing_summariesfor both the future and CTD bond (3M daily). Assess basis trend, volatility, and current percentile. - Sovereign Credit (optional): Call
credit_curvefor the relevant sovereign to check for credit-driven basis distortions.
Output Format
Future Summary
| Field | Value |
|---|---|
| Contract | ... |
| Fair Price | ... |
| CTD Bond | ... |
| Conversion Factor | ... |
| Contract DV01 | ... |
CTD Bond Analytics
| Field | Value |
|---|---|
| Clean Price | ... |
| YTM | ... |
| Duration | ... |
| DV01 | ... |
Basis Calculation
| Metric | Value |
|---|---|
| Gross Basis | ... ticks |
| Carry | ... ticks |
| Net Basis | ... ticks |
| Implied Repo | ...% |
| Market Repo (approx) | ...% |
| Assessment | Rich / Fair / Cheap |
Historical Basis Context
| Metric | Current | 3M Avg | 6M Avg | Percentile |
|---|---|---|---|---|
| Net Basis | ... | ... | ... | ...th |
| Implied Repo | ... | ... | ... | ...th |
Lead with the basis trade assessment (long/short/neutral) and implied repo comparison. Follow with detailed analytics tables.
How to use bond-futures-basis on Cursor
AI-first code editor with Composer
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 bond-futures-basis
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches bond-futures-basis from GitHub repository anthropics/financial-services-plugins and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate bond-futures-basis. Access the skill through slash commands (e.g., /bond-futures-basis) 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.
List & Monetize Your Skill
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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.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 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▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★35 reviews- ★★★★★Olivia Park· Dec 12, 2024
bond-futures-basis reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Shikha Mishra· Dec 4, 2024
bond-futures-basis fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Yash Thakker· Nov 23, 2024
bond-futures-basis is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Chen Gupta· Nov 23, 2024
Solid pick for teams standardizing on skills: bond-futures-basis is focused, and the summary matches what you get after install.
- ★★★★★Sakshi Patil· Nov 19, 2024
bond-futures-basis has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Olivia Chen· Nov 3, 2024
I recommend bond-futures-basis for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Xiao Agarwal· Oct 22, 2024
Useful defaults in bond-futures-basis — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Dhruvi Jain· Oct 14, 2024
Keeps context tight: bond-futures-basis is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Li Sanchez· Oct 14, 2024
bond-futures-basis has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Chaitanya Patil· Oct 10, 2024
Solid pick for teams standardizing on skills: bond-futures-basis is focused, and the summary matches what you get after install.
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