managing-long-term-investment-policy

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Defines and maintains long-term investment policy guardrails. Use when the user asks for portfolio discipline, rebalancing rules, risk limits, or decision frameworks for multi-year investing.

Alanlee0323 By Alanlee0323 schedule Updated 5/7/2026

name: managing-long-term-investment-policy description: Defines and maintains long-term investment policy guardrails. Use when the user asks for portfolio discipline, rebalancing rules, risk limits, or decision frameworks for multi-year investing.

Managing Long-Term Investment Policy

When to use this skill

  • When the user wants a long-horizon investing framework.
  • When decisions need consistency across market cycles.
  • When emotion-driven decision risk needs guardrails.

Workflow

  1. Plan
  • Define objective, time horizon, liquidity needs, and risk tolerance.
  • Define policy structure before discussing specific securities.
  1. Validate
  • Confirm constraints are explicit (drawdown tolerance, max position size, diversification rules).
  • Confirm assumptions are realistic for the stated horizon.
  1. Execute
  • Draft a policy checklist and decision rubric.
  • Define rebalancing and monitoring cadence.
  • Define "do not violate" rules.

Instructions

  • Prioritize process quality over short-term prediction.
  • Require decision logs for thesis changes.
  • Include base rules:
    • Position sizing limits
    • Rebalance bands and cadence
    • Thesis invalidation criteria
    • Maximum leverage or debt exposure constraints
  • Force pre-mortem and downside scenarios before large allocation changes.

Policy checklist

  • Time horizon defined
  • Risk budget defined
  • Allocation rules defined
  • Rebalancing rules defined
  • Thesis update protocol defined
  • Behavioral guardrails defined

Output template

## Long-Term Investment Policy

### Objective and Horizon
- Objective: ...
- Horizon: ...

### Risk and Allocation Rules
- Max position size: ...
- Target allocation bands: ...
- Max drawdown tolerance: ...

### Rebalancing Rules
- Cadence: ...
- Trigger bands: ...

### Thesis Governance
- Required evidence to add/increase: ...
- Invalidation triggers: ...
- Exit or reduce rules: ...

Error handling

  • If objectives and risk tolerance conflict, stop and request prioritization.
  • If user asks for policy-breaking action, flag violation and present compliant alternative.
  • If data quality is weak, defer action and state required evidence.

Resources

  • valuing-company
  • analyzing-macro-regime
  • analyzing-business-quality
Install via CLI
npx skills add https://github.com/Alanlee0323/my-agent-skills --skill managing-long-term-investment-policy
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