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manage-tcg-collection

pjt222
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Esta habilidad ayuda a los desarrolladores a construir herramientas para organizar, rastrear y valorar colecciones de juegos de cartas coleccionables de Pokémon, MTG y otros TCG. Proporciona funcionalidades para la gestión de inventario, mejores prácticas de almacenamiento, valoración basada en grados y análisis de colecciones. Úsala al crear aplicaciones para catalogar colecciones, evaluar el valor con fines de seguro o venta, o gestionar envíos para calificación.

Instalación rápida

Claude Code

Recomendado
Principal
npx skills add pjt222/agent-almanac -a claude-code
Comando PluginAlternativo
/plugin add https://github.com/pjt222/agent-almanac
Git CloneAlternativo
git clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/manage-tcg-collection

Copia y pega este comando en Claude Code para instalar esta habilidad

Documentación

Manage TCG Collection

Organize, inventory, value card collection. Structured tracking, proper storage, data-driven valuation.

When Use

  • Start new collection, set up tracking from beginning
  • Catalog existing collection grown beyond casual knowledge
  • Value collection for insurance, sale, estate
  • Manage want-lists, trade binders for target cards
  • Decide which cards send for pro grading based on value

Inputs

  • Required: Card game(s) in collection (Pokemon, MTG, FaB, Kayou, etc.)
  • Required: Collection scope (whole, specific sets, specific cards)
  • Optional: Current inventory system (spreadsheet, app, binder org)
  • Optional: Goal (complete sets, competitive play, investment, nostalgia)
  • Optional: Budget for storage + grading supplies

Steps

Step 1: Set Inventory System

Pick tracking system to match collection size.

  1. Choose method by size:
Collection Size Guide:
+-----------+-------+-------------------------------------------+
| Size      | Cards | Recommended System                        |
+-----------+-------+-------------------------------------------+
| Small     | <200  | Spreadsheet (Google Sheets, Excel)         |
| Medium    | 200-  | Dedicated app (TCGPlayer, Moxfield,        |
|           | 2000  | PokeCollector, Collectr)                   |
| Large     | 2000+ | Database + app combo with barcode scanning |
+-----------+-------+-------------------------------------------+
  1. Define data fields per card:
    • Identity: Set, card number, name, variant (holo, reverse, full art)
    • Condition: Raw grade estimate (NM, LP, MP, HP, DMG) or numeric grade
    • Quantity: Copies owned
    • Location: Where stored (binder page, box label, graded slab)
    • Acquisition: Date, price paid, source (pack, purchase, trade)
    • Value: Current market value at condition, last update date
  2. Set up system with these fields
  3. Set update cadence (weekly active, monthly stable)

Got: Functional inventory system, fields defined, ready for entry. Matches scale — not over-engineered for small, not under-powered for large.

If fail: Ideal app missing for game/platform? Use spreadsheet. Format matters less than consistency. Simple spreadsheet kept current beats fancy app abandoned in week.

Step 2: Catalog Collection

Enter cards into system.

  1. Sort physically before digital entry:
    • By set (one set together)
    • Within set, by card number ascending
    • Variants grouped with base card
  2. Enter cards:
    • Use bulk entry where available (barcode, set checklists)
    • Record condition honest — over-grading own cards causes valuation errors
    • Note special provenance (signed, first edition, tournament prizes)
  3. Large collections, work in sessions:
    • One set or one box per session
    • Mark progress (which boxes/binders done)
    • Verify random sample each session for accuracy
  4. Cross-reference set checklists, find completion percentages

Got: Every card entered with accurate condition + location. Completion known per set.

If fail: Too large for manual entry? Prioritize: rare/valuable cards first, bulk-enter commons by set with estimated quantities. 80% accurate inventory beats none.

Step 3: Organize Physical Storage

Store cards by value + use.

  1. Apply storage tier system:
Storage Tiers:
+----------+---------------+----------------------------------------------+
| Tier     | Card Value    | Storage Method                               |
+----------+---------------+----------------------------------------------+
| Premium  | >$50          | Top-loader + team bag, or penny sleeve in    |
|          |               | magnetic case. Stored upright in a box.       |
| Standard | $5-$50        | Penny sleeve + top-loader or binder with      |
|          |               | side-loading pages.                          |
| Bulk     | <$5           | Row box (BCW 800-count or similar), sorted    |
|          |               | by set. No individual sleeves needed.         |
| Graded   | Any (slabbed) | Upright in graded card box. Never stack heavy.|
+----------+---------------+----------------------------------------------+
  1. Environment controls:
    • Cool, dry, dark place (not attic, not basement)
    • Avoid direct sun, humidity, temperature swings
    • Silica gel packets in boxes for moisture
  2. Label everything:
    • Each box: contents (set name, card range, date)
    • Each binder page matches inventory location codes
    • Graded cards labeled with inventory ID matching digital system
  3. Update inventory with storage locations

Got: Every card stored proper for value, location data in inventory. Premium protected, bulk organized + accessible.

If fail: Premium supplies missing now? Penny sleeves + top-loaders always minimum for any card worth >$10. Upgrade as supplies arrive — priority is valuable cards in some protection.

Step 4: Value Collection

Calculate current market values.

  1. Pick pricing source:
    • TCGPlayer Market Price: Common US market (MTG, Pokemon)
    • CardMarket: Standard EU market
    • eBay Sold Listings: Best for rare/unique without standard pricing
    • PSA/BGS Price Guide: Graded cards specifically
  2. Update values for Standard + Premium tier cards
  3. Bulk cards: use per-set bulk pricing not individual lookup
  4. Calculate summary:
Collection Value Summary:
+------------------+--------+--------+
| Category         | Count  | Value  |
+------------------+--------+--------+
| Graded cards     |        | $      |
| Premium ungraded |        | $      |
| Standard cards   |        | $      |
| Bulk cards       |        | $      |
+------------------+--------+--------+
| TOTAL            |        | $      |
+------------------+--------+--------+
  1. Find grading candidates: cards where grade-premium > grading cost
    • Rule of thumb: grade if (expected graded value - raw value) > 2x grading cost

Got: Current valuation, per-card values for significant cards, aggregate values for bulk. Grading candidates found.

If fail: Pricing data stale or missing? Note pricing date + source. Very rare cards: check multiple sources, use median. Never trust single outlier sale.

Step 5: Maintain + Optimize

Set ongoing routines.

  1. Regular updates (cadence from Step 1):
    • Enter new acquisitions immediately
    • Premium tier values quarterly, Standard semi-annually
    • Re-assess storage tier when values change
  2. Want-list management:
    • List desired cards with max prices
    • Cross-reference want-list vs trade binder
    • Price alerts where app supports
  3. Collection analytics:
    • Track total value over time (monthly snapshots)
    • Monitor set completion percentages
    • Find concentration risk (too much value in one card/set)
  4. Periodic audit (annually):
    • Physical count vs inventory count for random sample
    • Verify storage conditions (humidity, pest damage)
    • Review + update grading candidates by current values

Got: Living management system stays current. Supports informed decisions on buy, sell, grade, trade.

If fail: Maintenance lapses? Prioritize: Premium tier values first, then catch up on new acquisitions. Most important: know what most valuable cards worth today.

Checks

  • Inventory system set with proper data fields
  • All cards cataloged with condition + location
  • Physical storage matches value tiers
  • Environment controls in place (cool, dry, dark)
  • Collection valued with current prices + dates
  • Grading candidates found with cost/benefit
  • Maintenance cadence set + followed
  • Want-list maintained for acquisition targets

Pitfalls

  • Over-grading own cards: Collectors rate own cards 1-2 grades higher than reality. Be honest or use grade-tcg-card for structured assessment
  • Ignoring bulk: Bulk cards stack value. Box of 800 commons at $0.10 each = $80 — worth tracking
  • Poor storage environment: Humidity + temperature swings damage cards faster than handling. Environment matters more than sleeves
  • Stale valuations: Card markets move. Valuation from 6 months ago wildly inaccurate, especially around set releases or ban announcements
  • No backup: Digital inventory without backup is fragile. Export CSV monthly. Photograph premium cards for insurance

See Also

  • grade-tcg-card — Structured grading for accurate condition assessment
  • build-tcg-deck — Deck construction from collection inventory

Repositorio GitHub

pjt222/agent-almanac
Ruta: i18n/caveman/skills/manage-tcg-collection
0
agentsagentskillsai-assisted-developmentclaude-codeskillsteams

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