菜单
Applied to DynamoDB table design, key/index strategy, query patterns, and boto3/aioboto3 connection management. Triggers: DynamoDB table design, PK/SK, GSI, LSI, Single Table Design, access pattern, partition key, sort key, overloading, Query vs Scan, TTL, DynamoDB Streams, boto3, aioboto3, TransactWrite, BatchWrite related tasks.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | dynamodb-guideline |
| description | Applied to DynamoDB table design, key/index strategy, query patterns, and boto3/aioboto3 connection management. Triggers: DynamoDB table design, PK/SK, GSI, LSI, Single Table Design, access pattern, partition key, sort key, overloading, Query vs Scan, TTL, DynamoDB Streams, boto3, aioboto3, TransactWrite, BatchWrite related tasks. |
| origin | custom |
| workloads | ["dynamodb"] |
boto3 4.x (sync) / aioboto3 12.x (async)PAY_PER_REQUEST (default for unpredictable traffic)STANDARDChatHistory, UserSetting, Content)MyApp)userId, createdAt, sk)GSI_{number} or purpose-specific (e.g. GSI_email, GSI_status_created)LSI_{number} or purpose-specific| Attribute | Role | Example Value |
|---|---|---|
pk | Partition Key | USER#user123, CONTENT#abc |
sk | Sort Key | PROFILE, MSG#2024-01-01T00:00:00Z |
gsi1pk | GSI 1 PK | EMAIL#user@example.com |
gsi1sk | GSI 1 SK | USER#user123 |
type | Entity type identifier | "user", "message", "content" |
| Use Case | DynamoDB Type | Notes |
|---|---|---|
| ID / String | S (String) | All IDs are String |
| Number | N (Number) | Both integers and decimals |
| Boolean | BOOL | True/False |
| Timestamp | S (ISO8601) or N (epoch) | Use ISO8601 String if sorting needed |
| Nested object | M (Map) | For embedding |
| Array | L (List) | Ordered array |
| Tags/Set | SS / NS (Set) | Duplicate-free set |
| Binary | B | Binary data |
| Money | N (integer, smallest unit) | Avoid floating-point errors: store as integer cents |
Scan operation: Forbidden (reads entire table, worst cost/performance)FilterExpression on non-key attributes without Query: Same cost as Scandata-modeling.md — Single Table Design, access pattern first design, Entity Overloadingkey-and-index.md — Partition Key / Sort Key design, GSI/LSI strategy, hot partition preventionquery-patterns.md — Query vs Scan, pagination, condition expressions, Batch/Transactionconnection-and-features.md — boto3/aioboto3, TTL, DynamoDB Streams, error handlingCreate professional architecture, workflow, sequence, data-flow, and lifecycle/state diagrams as standalone HTML files with SVG graphics, a built-in dark/light theme toggle, and one-click export to PNG / JPEG / WebP / SVG. Accepts plain-language descriptions or pasted Mermaid code (flowchart, sequenceDiagram, stateDiagram) and lays the diagram out from scratch in archify style. Use when the user asks for system architecture diagrams, infrastructure diagrams, cloud architecture visualizations, security diagrams, network topology, technical workflows, approval flows, runbooks, CI/CD flows, process diagrams, API call sequences, request lifecycles, data pipelines, ETL/ELT maps, PII boundaries, data lineage, state machines, lifecycle diagrams, status transitions, or asks to convert/beautify a Mermaid diagram.
Data analysis methodology — how to frame a question, pick the right technique, avoid statistical traps, and connect results to decisions. NOT a tool tutorial (pandas/polars/duckdb live in python-data-analysis) — this is the judgment layer: problem framing, analysis-type decision tree, experiment/causal design, and domain playbooks (churn, cohort, funnel, anomaly). Trigger: "왜 늘었/줄었지", 이탈 분석, 코호트, 퍼널, A/B 테스트, 인과추론, 상관 vs 인과, 유의성, 세그먼트, 이상 탐지, "이 데이터로 뭘 봐야", 지표 설계, exploratory analysis.
AWS cost management and FinOps practice — Cost Explorer, Budgets, Cost Anomaly Detection, CUR/data exports, cost allocation tags, Cost Categories, Savings Plans vs Reserved Instances, Compute Optimizer / Cost Optimization Hub, rightsizing, unit economics, showback/chargeback. Grounded in the FinOps Foundation Framework (Inform / Optimize / Operate). Trigger: cost anomaly, Savings Plan, Reserved Instance, rightsizing, cost allocation tag, chargeback, showback, unit cost, budget alert, CUR, Cost Explorer, unblended/amortized cost, RI coverage, commitment, "왜 청구서가 늘었지".
Track and report AI model token usage, spending, and budgets from a local cost-tracking database.
Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.
Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.