conducting-manager-track-record-analysis

Assesses GP track records for secondary pricing with fund-level attribution, unrealized portfolio assessment, and consistency analysis. Use when evaluating GP track records, analyzing fund performance consistency, or assessing manager quality.

11 stars

Best use case

conducting-manager-track-record-analysis is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Assesses GP track records for secondary pricing with fund-level attribution, unrealized portfolio assessment, and consistency analysis. Use when evaluating GP track records, analyzing fund performance consistency, or assessing manager quality.

Teams using conducting-manager-track-record-analysis 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/conducting-manager-track-record-analysis/SKILL.md --create-dirs "https://raw.githubusercontent.com/CaseMark/skills/main/skills/capital/conducting-manager-track-record-analysis/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/conducting-manager-track-record-analysis/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How conducting-manager-track-record-analysis Compares

Feature / Agentconducting-manager-track-record-analysisStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Assesses GP track records for secondary pricing with fund-level attribution, unrealized portfolio assessment, and consistency analysis. Use when evaluating GP track records, analyzing fund performance consistency, or assessing manager quality.

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

# Conducting Manager Track Record Analysis

Assesses GP track records for secondary pricing with fund-level attribution, unrealized portfolio assessment, and consistency analysis.

## When To Use

- Pricing an LP secondary interest and need to evaluate the underlying GP's performance history
- Conducting diligence on a GP-led continuation vehicle or tender offer
- Comparing multiple managers across a portfolio for LP portfolio optimization
- Assessing whether a GP's unrealized book is credible relative to historical realizations
- Building conviction (or flagging risk) around a GP's ability to generate returns in current and future funds

## Inputs To Gather

- **Fund-level performance data**: Net IRR, net TVPI, DPI, and RVPI for each fund vintage, ideally quarterly
- **Cash flow history**: Capital call and distribution schedules per fund (used for PME and J-curve analysis)
- **Portfolio company detail**: Entry dates, entry multiples, current carrying values, sector, and geography
- **Benchmark data**: Cambridge Associates, Burgiss, or Preqin quartile rankings by vintage and strategy
- **GP-provided materials**: PPMs, annual letters, AGM presentations, prior fund tearsheets
- **Organizational info**: Team tenure, key-person provisions, GP commitment levels, succession plans
- **Market context**: Relevant sector indices and M&A multiples for the deployment periods in question

## Workflow

1. **Build the fund-by-fund performance table**
   - Tabulate net IRR, TVPI, DPI, RVPI for each fund vintage
   - Note the as-of date and whether figures are audited or estimated
   - Flag any restated or reclassified NAVs [VERIFY against audited financials]

2. **Quartile-rank each fund against vintage-year peers**
   - Use at least one recognized benchmark (Cambridge, Burgiss, Preqin)
   - Distinguish between gross and net rankings — secondary pricing relies on net returns
   - Assess whether top-quartile claims hold across multiple benchmark providers [VERIFY benchmark vintage cutoffs]

3. **Analyze DPI progression and realization patterns**
   - Plot DPI over time for each fund to assess pace of capital return
   - Compare DPI at equivalent fund ages across vintages — is the GP accelerating or slowing distributions?
   - Identify funds where TVPI is high but DPI is low (concentration of value in unrealized holdings)

4. **Decompose fund-level returns by deal attribution**
   - Identify top 3–5 contributors and detractors per fund by gross MOIC
   - Calculate loss ratios (percentage of invested capital in deals below 1.0x)
   - Determine whether returns are driven by a single outlier or distributed across the portfolio
   - Flag repeat sector or geographic bets that inflate apparent diversification

5. **Stress-test unrealized portfolio**
   - Compare carrying values to public-market comparables and recent transaction multiples
   - Apply haircuts to positions held above entry multiple for >3 years without a realization event
   - Assess revenue/EBITDA growth in underlying companies relative to the marks being applied
   - Score each material unrealized holding as: conservatively marked / fairly marked / aggressively marked

6. **Evaluate consistency across fund cycles**
   - Determine whether the GP has maintained strategy discipline (check size, sector focus, hold period)
   - Flag style drift — e.g., a lower-middle-market buyout fund doing growth equity or larger deals
   - Assess team continuity: have the same senior partners been responsible for the realized track record?
   - Note any key-person departures and whether they coincided with performance changes

7. **Synthesize into a manager quality score or narrative**
   - Summarize realized vs. unrealized performance split
   - State whether the GP is a repeat top-quartile performer, a median manager, or inconsistent
   - Highlight the 2–3 strongest positives and 2–3 key risks for secondary pricing purposes
   - Recommend a NAV discount or premium adjustment supported by the analysis

## Output

A structured track record memorandum containing:

- **Performance summary table**: Fund-by-fund net IRR, TVPI, DPI, RVPI with quartile rankings
- **Attribution analysis**: Top/bottom deals per fund, loss ratios, concentration metrics
- **Unrealized portfolio assessment**: Marking credibility scores, key holdings, and haircut recommendations
- **Consistency analysis**: Strategy adherence, team stability, cross-vintage performance trends
- **Pricing implications**: Recommended NAV adjustment range (discount or premium) with supporting rationale
- **Risk flags**: Itemized list of concerns (e.g., key-person risk, concentrated unrealized book, style drift)

## Quality Checks

- Every net IRR and TVPI figure traces to a sourced document (GP report, audited statement, or data provider)
- Quartile rankings are dated and benchmark-provider-specific — do not blend providers
- Unrealized marks are cross-referenced against at least one external valuation indicator
- Loss ratios are calculated on invested capital, not committed capital
- Any performance figures predating the current team or strategy are clearly segregated
- [VERIFY] vintage year classifications match the benchmark provider's definition (first close vs. first draw)
- [VERIFY] GP-reported net returns are net of management fees, carried interest, and fund-level expenses
- Analysis distinguishes between flagship strategy performance and ancillary/co-investment vehicles

Related Skills

tracking-treatment-response

11
from CaseMark/skills

Monitors treatment response using imaging criteria, biomarkers, and clinical assessment with documentation. Use when assessing treatment response, documenting disease status, or tracking progression.

tracking-incidental-findings

11
from CaseMark/skills

Manages incidental finding follow-up using ACR White Paper recommendations. Use when tracking incidentalomas, scheduling follow-up imaging, or managing unexpected findings.

tracking-hospital-acquired-conditions

11
from CaseMark/skills

Monitors and documents hospital-acquired infections, pressure injuries, and other preventable conditions. Use when tracking HACs, documenting nosocomial events, or reporting patient safety indicators.

tracking-developmental-milestones

11
from CaseMark/skills

Applies ASQ and CDC milestone tracking with referral criteria for developmental delays. Use when tracking development, screening for delays, or documenting milestone achievement.

tracking-clinical-deterioration

11
from CaseMark/skills

Implements early warning score monitoring (NEWS, MEWS) with escalation criteria. Use when monitoring clinical deterioration, calculating early warning scores, or triggering rapid response criteria.

performing-frozen-section-analysis

11
from CaseMark/skills

Guides intraoperative frozen section evaluation with rapid diagnostic protocols and communication. Use when performing frozen sections, providing intraoperative diagnoses, or communicating preliminary results.

managing-medical-records-compliance

11
from CaseMark/skills

Evaluates medical records practices against retention, access, and amendment requirements. Use when auditing medical records, managing record retention, or processing amendment requests.

conducting-surgical-time-outs

11
from CaseMark/skills

Structures WHO surgical safety checklist completion with sign-in, time-out, and sign-out documentation. Use when performing surgical time-outs, completing safety checklists, or documenting pre-incision verification.

conducting-stress-test-interpretation

11
from CaseMark/skills

Interprets exercise and pharmacologic stress tests with Duke treadmill score and nuclear findings. Use when reading stress tests, interpreting nuclear perfusion, or documenting exercise tolerance.

conducting-stark-law-analysis

11
from CaseMark/skills

Evaluates physician self-referral arrangements against Stark Law exceptions with documentation. Use when analyzing Stark compliance, evaluating referral arrangements, or documenting exception applicability.

conducting-psychiatric-evaluations

11
from CaseMark/skills

Structures comprehensive psychiatric evaluation with MSE, diagnostic formulation, and risk assessment. Use when performing psychiatric assessments, documenting mental status exams, or creating diagnostic formulations.

conducting-program-evaluation-public-health

11
from CaseMark/skills

Structures program evaluation using CDC framework with process, outcome, and impact assessment. Use when evaluating public health programs, measuring program effectiveness, or conducting logic model analysis.