manage-tcg-collection
정보
이 스킬은 개발자가 포켓몬, 매직 더 개더링 등 트레이딩 카드 게임 컬렉션을 정리, 추적, 평가하는 도구를 구축하도록 지원합니다. 인벤토리 관리, 보관 모범 사례, 등급 기반 가치 평가, 컬렉션 분석 기능을 제공합니다. 컬렉션 목록화 애플리케이션 제작, 보험이나 판매를 위한 가치 평가, 등급 제출 관리를 할 때 활용하세요.
빠른 설치
Claude Code
추천npx skills add pjt222/agent-almanac -a claude-code/plugin add https://github.com/pjt222/agent-almanacgit clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/manage-tcg-collectionClaude Code에서 이 명령을 복사하여 붙여넣어 스킬을 설치하세요
문서
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.
- 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 |
+-----------+-------+-------------------------------------------+
- 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
- Set up system with these fields
- 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.
- Sort physically before digital entry:
- By set (one set together)
- Within set, by card number ascending
- Variants grouped with base card
- 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)
- 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
- 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.
- 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.|
+----------+---------------+----------------------------------------------+
- Environment controls:
- Cool, dry, dark place (not attic, not basement)
- Avoid direct sun, humidity, temperature swings
- Silica gel packets in boxes for moisture
- 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
- 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.
- 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
- Update values for Standard + Premium tier cards
- Bulk cards: use per-set bulk pricing not individual lookup
- Calculate summary:
Collection Value Summary:
+------------------+--------+--------+
| Category | Count | Value |
+------------------+--------+--------+
| Graded cards | | $ |
| Premium ungraded | | $ |
| Standard cards | | $ |
| Bulk cards | | $ |
+------------------+--------+--------+
| TOTAL | | $ |
+------------------+--------+--------+
- 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.
- Regular updates (cadence from Step 1):
- Enter new acquisitions immediately
- Premium tier values quarterly, Standard semi-annually
- Re-assess storage tier when values change
- Want-list management:
- List desired cards with max prices
- Cross-reference want-list vs trade binder
- Price alerts where app supports
- Collection analytics:
- Track total value over time (monthly snapshots)
- Monitor set completion percentages
- Find concentration risk (too much value in one card/set)
- 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-cardfor 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 assessmentbuild-tcg-deck— Deck construction from collection inventory
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