analyzing-claims-trading-dynamics
Evaluates claims trading market with trading levels, holder identification, and blocking position analysis. Use when analyzing claims markets, tracking distressed debt trading, or evaluating ad hoc group dynamics.
Best use case
analyzing-claims-trading-dynamics is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Evaluates claims trading market with trading levels, holder identification, and blocking position analysis. Use when analyzing claims markets, tracking distressed debt trading, or evaluating ad hoc group dynamics.
Teams using analyzing-claims-trading-dynamics 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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/analyzing-claims-trading-dynamics/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How analyzing-claims-trading-dynamics Compares
| Feature / Agent | analyzing-claims-trading-dynamics | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Evaluates claims trading market with trading levels, holder identification, and blocking position analysis. Use when analyzing claims markets, tracking distressed debt trading, or evaluating ad hoc group dynamics.
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
# Analyzing Claims Trading Dynamics ## When To Use - Mapping the secondary market for claims against a debtor in or approaching Chapter 11 - Identifying whether an ad hoc group or single holder is building a blocking position in a particular class - Evaluating trading levels to assess market-implied recovery expectations - Preparing for plan negotiations by understanding creditor composition shifts - Advising a potential claims purchaser on entry pricing, liquidity, and positional risk ## Inputs To Gather - **Claims register / transfer ledger**: Court-filed Rule 3001 claims and any Rule 3001(e) notices of transfer - **Trading desk color / broker runs**: Bid/ask levels, volume indications, and recent prints for traded claims or debt tranches - **Debtor's schedules and statement of financial affairs**: Scheduled claim amounts per creditor, disputed vs. undisputed - **Capital structure and intercreditor documents**: Priorities, subordination, adequate protection terms - **Ad hoc group disclosures**: Rule 2019 statements showing members, economic interests, and acquisition dates/prices - **Plan or term sheet (if filed)**: Proposed treatment by class and any toggle/election mechanisms - **Relevant docket entries**: Objections to claims, estimation motions, DIP financing orders affecting recoveries ## Workflow 1. **Build the claims universe** - Compile all filed proofs of claim by class (secured, priority, general unsecured, intercompany, equity interests) - Cross-reference with debtor's schedules to flag unliquidated, contingent, or disputed claims - Note aggregate face amount per class and the one-third-in-amount blocking threshold [VERIFY: confirm blocking threshold under applicable plan — some plans use two-thirds in amount plus majority in number per §1126(c)] 2. **Map holder positions** - Track Rule 3001(e) transfer notices to identify claims buyers and the chain of ownership - Parse Rule 2019 disclosures for ad hoc group membership, acquisition dates, and cost basis ranges - Flag any single holder or coordinated group approaching or exceeding the blocking position threshold in any class 3. **Assess trading levels and liquidity** - Record recent bid/ask spreads and executed trade prices (cents on the dollar) - Calculate implied recovery at current trading levels versus proposed plan distributions - Note market depth: Is trading thin (occasional BWIC/OWIC) or active with regular two-way flow? - Identify divergence between trading levels across tranches, which may signal differing recovery expectations or information asymmetry 4. **Analyze blocking position dynamics** - Determine if any party holds or is assembling a blocking position in a class needed for confirmation - Evaluate whether the blocking holder's economic incentives align with or oppose the debtor's plan strategy - Consider whether the debtor has a cram-down path under §1129(b) if a class rejects, and assess the fair-and-equitable / unfair-discrimination standards applicable [VERIFY: jurisdiction-specific cram-down precedent] 5. **Evaluate strategic implications** - Assess how claims migration affects negotiation leverage among the debtor, committee, and major holders - Identify potential gift or settlement structures that might unlock support from blocking holders - Flag any claims that are subject to pending objections, estimation, or subordination motions — these affect both trading value and voting power 6. **Synthesize findings** - Produce a claims map showing position sizes, holder identities (where public), and trading levels - Summarize blocking position risk per class - Highlight key uncertainties that could shift the trading or voting landscape ## Output - **Claims Trading Summary**: Table of claim classes with aggregate face amounts, number of holders, and current trading levels (bid/ask/last trade) - **Holder Position Map**: Identification of material holders per class, including known ad hoc group members, with position sizes as a percentage of class - **Blocking Position Analysis**: Per-class assessment of whether any holder or group has or is approaching a blocking position, with strategic commentary on likely negotiation posture - **Recovery Implied by Market**: Comparison of trading-level-implied recoveries against plan-proposed recoveries, with commentary on spread drivers - **Risk Flags**: List of pending claim objections, estimation motions, or equitable subordination actions that could alter the landscape ## Quality Checks - Confirm all Rule 3001(e) transfers referenced are from the official docket — do not rely on broker hearsay for ownership data - Verify blocking threshold math against the specific plan's classification structure and §1126(c)/(d) requirements - Cross-check trading levels against at least two independent sources (broker runs, pricing services) where available - Flag any holder whose position may trigger HSR, beneficial ownership, or securities law disclosure obligations [VERIFY: applicable reporting thresholds under Hart-Scott-Rodino and Exchange Act §13(d)] - Mark all cost-basis and implied-recovery figures as estimates unless sourced from confirmed trade confirmations - Note where the analysis depends on assumptions about claim allowance amounts for disputed or unliquidated claims