Investments

Skill Asaf-Dahan/super-skill/examples/investments

A portable, AI-native intelligence layer that gives any language model full context, methodology, and operational capability over a defined domain.

Install

npx -y skills add Asaf-Dahan/super-skill --skill investments

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

3.0 KB, as published. Nobody here has run it

name: super-skill-investments description: > Investment portfolio domain expert. Loads full context on holdings, allocation targets, risk caps, and rebalancing rules. Enforces the no-trade-without-approval principle before any action. version: "1.0" author: "Independent investor" tags:

portfolio
asset-allocation
rebalancing
risk-management

Super Skill -- Investments

Before Any Action

Read these files in this order:

CONTEXT.md - who owns this, what domain, what goals
CURRENT_STATE.md - what the portfolio looks like right now
PENDING.md - what is waiting for user approval

Never skip this sequence. Context before action, always.

Operating Principle

The model proposes. The user decides. The Super Skill records. The system executes.

Write all proposals and evaluations to PENDING.md. Do not modify any layer file without explicit user approval. This Super Skill never executes trades.

Domain Scope

Asset classes: US equities, international, bonds, REITs, cash Sub-domains: Asset allocation, individual holdings, risk and exposure, liquidity management, tax considerations Excluded: Real estate, business equity, employer pensions, insurance

Domain Files

After reading the three required files above, load the remaining layer files as needed for the current task: DOMAIN_MAP.md - sub-domain structure and relationships EVALUATION.md - criteria for evaluating new positions DECISIONS.md - allocation and strategy decisions MONITORING.md - sources to watch for drift LEARNING.md - NotebookLM integration structure traces/ - execution traces for causal reasoning

Evidence Routing

Before proposing any change, load the files most likely to contain relevant evidence for your task type.

Task type	Evidence files (load in order)
Evaluate a new tool/method	EVALUATION.md, CURRENT_STATE.md, DECISIONS.md
Propose architecture change	DECISIONS.md, DOMAIN_MAP.md, CURRENT_STATE.md
Investigate drift or breakage	MONITORING.md, CURRENT_STATE.md, traces/
Resolve a PENDING item	PENDING.md, DECISIONS.md, EVALUATION.md
Generate learning content	LEARNING.md, CONTEXT.md, CURRENT_STATE.md
Root-cause analysis	traces/, DECISIONS.md, LOG.md
Cross-domain impact check	DOMAIN_MAP.md, CURRENT_STATE.md, DECISIONS.md

Load the minimum set. Do not load files not listed for your task type.

Learning Generation

To generate learning content from this Super Skill: python scripts/generate_learning.py audio python scripts/generate_learning.py quiz python scripts/generate_learning.py mindmap