mcpbeat Sign in

Llmquant Credit Agent Skill

Router skill for LLMQuant credit workflows. Use when the user needs issuer credit review, spread regime analysis, high-yield stress monitoring, default risk, debt maturity, or covenant context.

2k tokens
context cost
the whole folder, loaded on every use
6
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
183
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/LLMQuant/skills --skill llmquant-credit

The instruction itself

4 sections, as written by the author

LLMQuant Credit

This category routes credit research workflows for issuer risk, spread regimes, and high-yield stress.

Routing Rules

  • Identify issuer, ticker, bond, index, sector, maturity bucket, credit rating, and horizon.
  • Select the closest workflow below.
  • Open only that workflow and any referenced local resources.
  • Use LLMQuant Data for filings, debt schedule, fundamentals, rates, spreads, ratings, equity prices, CDS, and macro context.
  • Report filing dates, market timestamps, rating dates, observation windows, stale notices, and missing inputs.

Workflow Index

| User intent | Workflow |

|---|---|

| Review an issuer's balance-sheet, cash-flow, maturity, and covenant credit risk. | workflows/issuer-credit-risk-review.md |

| Diagnose credit-spread regime, risk appetite, and sector pressure. | workflows/credit-spread-regime.md |

| Monitor high-yield stress, refinancing risk, fallen angels, and default pressure. | workflows/high-yield-stress-monitor.md |

LLMQuant Data Contract

Prefer LLMQuant Data when available. The workflows may need these data capabilities:

  • Retrieve issuer filings, financial statements, debt schedules, maturity ladders, segment exposure, and risk factors.
  • Retrieve bond, CDS, spread, rating, recovery, default, and sector credit data when available.
  • Retrieve rates, yield curves, equity prices, volatility, liquidity, macro, commodity, and FX context.
  • Retrieve ETF holdings or fund-flow data for credit ETFs and crowded exposures when available.

Fallback:

  • If bond-level, CDS, or rating data is unavailable, use filings, equity, rates, and macro evidence while naming missing credit-market inputs.
  • Do not estimate covenant headroom or default probability without required terms and market data.

Other skills for the same job

different authors, same section of the catalogue
Workflow Automation
by ComeOnOliver
×3

Workflow automation is the infrastructure that makes AI agents reliable. Without durable execution, a network hiccup during a 10-step payment flow means lost money and angry customers. With it, workflows resume exactly where they left off. This skill covers the platforms (n8n, Temporal, Inngest) and patterns (sequential, parallel, orchestrator-worker) that turn brittle scripts into production-grade automation. Key insight: The platforms make different tradeoffs. n8n optimizes for accessibility

3k tokens
Cloudinary Automation
by christophacham
×2

Automate Cloudinary media management including folder organization, upload presets, asset lookup, transformations, and usage monitoring through natural language commands

2k tokens needs MCP
Cicd Automation Workflow Automate
by ComeOnOliver
×2

You are a workflow automation expert specializing in creating efficient CI/CD pipelines, GitHub Actions workflows, and automated development processes. Design automation that reduces manual work, improves consistency, and accelerates delivery while maintaining quality and security.

13k tokens
Server Management
by ComeOnOliver
×2

Server management principles and decision-making. Process management, monitoring strategy, and scaling decisions. Teaches thinking, not commands.

3k tokens
Create Github Action Workflow Specification
by github
vendor ×1

Create a formal specification for an existing GitHub Actions CI/CD workflow, optimized for AI consumption and workflow maintenance.

2k tokens
Dnanexus Integration
by K-Dense-AI
×1

Build and operate reproducible genomics workloads on DNAnexus with the dx CLI, dxpy, apps/applets, native workflows, dxCompiler, and Nextflow. Use for DNAnexus data transfers, dxapp.json development, execution monitoring, workflow import, and project automation.

37k tokens scripts
Search Company Knowledge
by openai
vendor ×1

Search across company knowledge bases (Confluence, Jira, internal docs) to find and explain internal concepts, processes, and technical details. When an agent needs to: (1) Find or search for information about systems, terminology, processes, deployment, authentication, infrastructure, architecture, or technical concepts, (2) Search internal documentation, knowledge base, company docs, or our docs, (3) Explain what something is, how it works, or look up information, or (4) Synthesize information from multiple sources. Searches in parallel and provides cited answers.

4k tokens
Deployment Procedures
by lingxling
×1

Production deployment principles and decision-making. Safe deployment workflows, rollback strategies, and verification. Teaches thinking, not scripts.

2k tokens

How to use it

Copy the folder

Take llmquant/llmquant-credit from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.