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Investment note management. Record, retrieve, and delete investment theses, concerns, and lessons.
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Baseado na classificação ocupacional SOC
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Detailed report for individual stocks and ETFs. Generates a financial analysis report from a ticker symbol. Individual stocks show valuation, undervaluation score, and shareholder return rate. ETFs show expense ratio, AUM, and fund size.
| name | investment-note |
| description | Investment note management. Record, retrieve, and delete investment theses, concerns, and lessons. |
| argument-hint | [save|list|delete] [--symbol SYMBOL] [--category CATEGORY] [--type TYPE] [--content TEXT] [--id NOTE_ID] |
| allowed-tools | Bash(python3 *) |
Parse $ARGUMENTS and execute the following commands.
python3 /Users/kikuchihiroyuki/stock-skills/.claude/skills/investment-note/scripts/manage_note.py $ARGUMENTS
Display the result as-is.
# Stock note (standard)
python3 .../manage_note.py save --symbol 7203.T --type thesis --content "EV adoption increases parts demand"
# Portfolio-wide note (KIK-429: symbol made optional)
python3 .../manage_note.py save --category portfolio --type review --content "Reduced sector overweight"
# Market note
python3 .../manage_note.py save --category market --type observation --content "BOJ rate hike speculation"
Either --symbol or --category is required (except for journal type). When --symbol is specified, category is automatically set to stock.
# Investment journal / free memo (KIK-473: symbol/category not required)
python3 .../manage_note.py save --type journal --content "NVDA surged. Felt the strength of AI demand"
# → Auto-detects ticker symbols (NVDA) in the body and links to Neo4j
python3 .../manage_note.py list [--symbol 7203.T] [--type concern] [--category portfolio]
python3 .../manage_note.py delete --id note_2025-02-17_7203_T_abc12345
| Type | Meaning | Usage Example |
|---|---|---|
| thesis | Investment thesis | "EV adoption increases parts demand" |
| observation | Observation | "Appeared in top 3 screenings in a row" |
| concern | Concern | "China market slowdown risk" |
| review | Review | "3-month hold, thesis on track" |
| target | Target / exit | "Take profit at P/E 15" |
| lesson | Lesson learned | "It was a value trap" |
| journal | Investment journal / free memo | "NVDA surged. Felt AI demand" (KIK-473: symbol/category not required, auto-detects tickers from body) |
| Category | Meaning | Usage |
|---|---|---|
| stock | Individual stock note | Auto-set when --symbol is specified |
| portfolio | Portfolio-wide note | --category portfolio (PF review, rebalancing rationale, etc.) |
| market | Market note | --category market (macro trends, interest rates, etc.) |
| general | General note | --category general (uncategorized, default) |
For natural language → skill selection, see .claude/rules/intent-routing.md.
When get_context.py output is available, integrate with note operations: