llmquant-commodities
Router skill for LLMQuant commodities workflows. Use when the user needs commodity spot, futures curve, inventory, roll yield, or…
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.
$ npx -y skills add LLMQuant/skills --skill llmquant-credit --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/llmquant-creditContext preview
The summary Claude sees to decide when to auto-load this 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.
name: llmquant-credit description: 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. input_data_source: LLMQuant Data category: credit
This category routes credit research workflows for issuer risk, spread regimes, and high-yield stress.
1. Identify issuer, ticker, bond, index, sector, maturity bucket, credit rating, and horizon. 2. Select the closest workflow below. 3. Open only that workflow and any referenced local resources. 4. Use LLMQuant Data for filings, debt schedule, fundamentals, rates, spreads, ratings, equity prices, CDS, and macro context. 5. Report filing dates, market timestamps, rating dates, observation windows, stale notices, and missing inputs.
| User intent | Workflow | |---|---| | Review an issuer's balance-sheet, cash-flow, maturity, and covenant credit risk. | [`workflows/issuer-credit-risk-review.md`](workflows/issuer-credit-risk-review.md) | | Diagnose credit-spread regime, risk appetite, and sector pressure. | [`workflows/credit-spread-regime.md`](workflows/credit-spread-regime.md) | | Monitor high-yield stress, refinancing risk, fallen angels, and default pressure. | [`workflows/high-yield-stress-monitor.md`](workflows/high-yield-stress-monitor.md) |
Prefer LLMQuant Data when available. The workflows may need these data capabilities:
Fallback:
Reusable Skills for LLMQuant Agent, Claude Code, Claude.ai, Cursor, Hermes Agent, OpenClaw and Codex, grounded in LLMQuant Data
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