managing-liquidity-risk

Structures liquidity risk management with cash flow projections, stress testing, and contingency planning. Use when managing liquidity risk, projecting cash needs, or developing liquidity contingency plans.

11 stars

Best use case

managing-liquidity-risk is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Structures liquidity risk management with cash flow projections, stress testing, and contingency planning. Use when managing liquidity risk, projecting cash needs, or developing liquidity contingency plans.

Teams using managing-liquidity-risk should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/managing-liquidity-risk/SKILL.md --create-dirs "https://raw.githubusercontent.com/CaseMark/skills/main/skills/finance/managing-liquidity-risk/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/managing-liquidity-risk/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How managing-liquidity-risk Compares

Feature / Agentmanaging-liquidity-riskStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Structures liquidity risk management with cash flow projections, stress testing, and contingency planning. Use when managing liquidity risk, projecting cash needs, or developing liquidity contingency plans.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Managing Liquidity Risk

## When To Use

- Building or updating a liquidity risk management framework for a fund, bank, or corporate treasury
- Projecting cash flow needs across operating, investing, and financing activities over 30/60/90/180/360-day horizons
- Designing stress test scenarios (market-wide, idiosyncratic, or combined) for liquidity adequacy
- Developing or revising a contingency funding plan (CFP)
- Preparing liquidity coverage ratio (LCR) or net stable funding ratio (NSFR) reporting [VERIFY: applicable regulatory framework — Basel III, local banking regulator, or internal policy]
- Responding to a liquidity event, margin call acceleration, or counterparty credit deterioration

## Inputs To Gather

- **Cash flow data**: Operating receipts/disbursements, scheduled debt maturities, committed credit facility terms, and capital expenditure pipeline
- **Asset inventory**: Unencumbered high-quality liquid assets (HQLA) with haircut assumptions, repo-eligible collateral, and time-to-monetize estimates
- **Funding sources**: Committed vs. uncommitted lines, deposit composition (sticky vs. hot money), wholesale funding maturities, and intercompany lending arrangements
- **Counterparty exposure**: Margin call triggers, collateral substitution rights, and cross-default/cross-acceleration clauses
- **Regulatory parameters**: Applicable LCR/NSFR thresholds, intraday liquidity requirements, and internal risk appetite limits [VERIFY: jurisdiction-specific minimums]
- **Historical data**: Prior stress episodes, seasonal cash flow patterns, and drawdown experience on credit facilities

## Workflow

1. **Map the liquidity position**
   - Aggregate all cash inflows and outflows by time bucket (overnight, 1–7 days, 8–30 days, 31–90 days, 91–180 days, 181–360 days)
   - Classify assets by liquidity tier: Tier 1 (cash, central bank reserves, sovereign bonds), Tier 2A (agency MBS, high-grade corporates), Tier 2B (lower-grade corporates, equities) [VERIFY: HQLA classification per applicable regime]
   - Identify concentration risks — single-counterparty funding, currency mismatches, or maturity cliffs

2. **Build cash flow projections**
   - Construct a base-case projection using contractual maturities and expected behavioral cash flows
   - Layer in behavioral assumptions for non-maturity deposits, prepayments, and drawdown rates on revolving facilities
   - Flag any bucket where cumulative net cash flow turns negative as a gap requiring action

3. **Design and run stress scenarios**
   - **Idiosyncratic scenario**: Credit downgrade (1–3 notches), loss of unsecured wholesale funding, accelerated deposit outflows (10–30% runoff over 30 days), collateral margin calls
   - **Market-wide scenario**: Credit spread widening (e.g., +200–500 bps), repo market disruption, central bank facility access constraints, asset price declines (20–40% on equities, 5–15% on fixed income)
   - **Combined scenario**: Simultaneous idiosyncratic and market stress; assume no access to unsecured markets for 30–90 days
   - For each scenario, calculate the survival horizon — the number of days the entity can meet all obligations without external support

4. **Develop the contingency funding plan**
   - Rank liquidity actions by speed and cost: (a) draw on committed facilities, (b) sell HQLA, (c) repo unencumbered collateral, (d) reduce discretionary outflows, (e) negotiate liability extensions
   - Assign trigger levels (early warning, escalation, crisis) tied to specific metrics — e.g., available liquidity buffer falling below 120% of 30-day stressed outflows
   - Define governance: who declares each trigger level, communication protocols (board, regulators, counterparties), and decision authority for asset sales

5. **Compile the liquidity risk report**
   - Present current liquidity ratios (LCR, NSFR, internal metrics) against limits
   - Summarize stress test results with survival horizons and buffer adequacy
   - Highlight top 3–5 risk concentrations and recommended mitigants
   - Include an action tracker for open items from prior reviews

## Output

The deliverable is a **Liquidity Risk Management Report** containing:

- **Executive summary**: Current liquidity posture, key ratios vs. thresholds, and overall risk rating (green/amber/red)
- **Cash flow projection tables**: Base-case and stressed, by time bucket, with cumulative net position
- **Stress test dashboard**: Scenario assumptions, impact on liquid asset buffer, and survival horizon per scenario
- **Contingency funding plan**: Trigger framework, ranked action list with estimated capacity and mobilization time, and governance matrix
- **Risk concentration map**: Funding source concentration, maturity cliff analysis, and currency mismatch summary
- **Recommendations and action items**: Prioritized list with owners and deadlines

## Quality Checks

- All cash flow buckets reconcile to general ledger or treasury management system totals
- Stress scenario assumptions are documented and internally consistent — no double-counting of asset liquidation and repo capacity for the same collateral
- Survival horizons are calculated net of contingent outflows (margin calls, commitment drawdowns)
- Trigger levels in the CFP align with the institution's risk appetite statement and board-approved limits
- HQLA classifications and haircuts match the applicable regulatory framework [VERIFY: confirm against current regulatory guidance]
- Report distinguishes between contractual and behavioral cash flows with explicit disclosure of behavioral assumptions
- All [VERIFY] items are flagged for subject-matter expert review before distribution

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