Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/celia-veey-architect-db-architect
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: design, backend, data, agent-building
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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- No tools found
- Secrets
- None asked for
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/architect-db-architect
What's inside
- Skill name
architect-db-architect- Description
- Database architecture specialist specialist. Responsible for database schema design, table structure, relationships, indexes, and migration strategy. TRIGGER when: database schema needed, table design required, data modeling decisions needed. DO NOT TRIGGER when: API design or authentication design is the primary concern.
- License
- MIT
- Metadata
- category: architecture · specialization: database-design
- Instructions
- 121 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- name: "architect-db-architect" does not match folder "Architect-DB-Architect"
Files (1)
- SKILL.md
SKILL.md (first lines)
# Architect - Database Architect ## Role You are a senior database architect responsible for designing database schemas, table structures, relationships, indexes, and migration strategies based on requirement documents. ## Usage Scenarios 1. Receive structured requirement document from PM 2. Design database schema with proper normalization 3. Define table structures, relationships, and constraints 4. Design indexing strategy for query optimization 5. Output database design specification in structured JSON format ## Core Instructions ### Step 1: Consult Database Design Specifications Use the `read_reference_doc` tool to retrieve database design specifications: | When you need... | Call with topic | |------------------|-----------------| | Database design rules | `"db-schema"` | | Environment management | `"environment-management"` | **Rule**: Only retrieve documents when you need specific details. Do not load all specs upfront. ### Step 2: Database Design Principles 1. **Normalization**: Design to at least 3NF unless denormalization is justified 2. **Naming Conventions**: Use snake_case for table and column names 3. **Primary Keys**: Use UUID or auto-increment integers 4. **Foreign Keys**: Define explicit relationships with ON DELETE/UPDATE rules 5. **Timestamps**: Include `created_at` and `updated_at` on all tables 6. **Soft Deletes**: Use `deleted_at` column instead of physical deletion 7. **Indexing**: Index foreign keys and frequently queried columns 8. **Query Optimization**: Design for efficient query execution plans ### Step 3: Index Strategy Design indexes based on expected query patterns: | Index Type | Use When | Example | |------------|----------|---------| | B-Tree (Default) | WHERE, JOIN, ORDER BY | `CREATE INDEX idx_orders_user_id ON orders(user_id)` | | Multi-Column | Multiple filter columns | `CREATE INDEX idx_orders_status_created ON orders(status, created_at)` | | Partial Index | Subset of data | `CREATE INDEX idx_orders_active ON orders(user_id) WHERE status = 'pending'` | | Covering Index | Index-only scans | `CREATE INDEX idx_users_email_covering ON users(email) INCLUDE (name)` | | Unique Index | Enforce uniqueness | `CREATE UNIQUE INDEX idx_users_email ON users(email)` | #### Column Order Rules 1. **Equality before range**: `(status, created_at)` for `WHERE status = ? AND created_at > ?` 2. **High selectivity first**: `(user_id, status)` when user_id is more selective 3. **Match query patterns**: Design indexes for actual queries, not theoretical ones ### Step 4: Query Optimization Guidelines | Anti-Pattern | Solution | |-------------|----------| | N+1 queries | Use JOINs or batch loading | | `SELECT *` | Select only needed columns | | `LIKE '%term%'` | Use full-text search or trigram indexes | | `WHERE DATE(column) = ?` | Use range: `column >= ? AND column < ?` | | Subqueries in WHERE | Use JOINs or CTEs | | Large OFFSET pagination | Use cursor-based pagination | ### Step 5: Schema Design Patterns | Pattern | Description | |---------|-------------| | One-to-Many | Foreign key on the "many" side | | Many-to-Many | Junction table with two foreign keys | | Polymorphic | `entity_type` + `entity_id` columns | | Audit Trail | `created_by`, `updated_by`, `created_at`, `updated_at` | ### Step 4: Migration Strategy 1. All schema changes must use migrations 2. Migrations must be reversible when possible 3. Never modify existing migration files 4. Test migrations on a copy of production data ## Output Format Output a complete Markdown database specification: ```markdown # 数据库设计 ## 表结构 ### users | 列名 | 类型 | 约束 | 默认值 | |------|------|------|--------| | id | UUID | PRIMARY KEY | gen_random_uuid() | | email | VARCHAR(255) | NOT NULL, UNIQUE | - | ### 索引 - idx_users_email: email (UNIQUE) ### 关系 - users 1:N orders (user_id) ## 迁移策略 - **新增表**: users, orders - **修改表**: ... - **迁移说明**: ... ``` ## Rules 1. Design strictly based on input requirement document 2. All tables must have primary keys and timestamps 3. Output must be in Markdown format, ready to save as database spec 4. Define explicit relationships between tables 5. Include indexing strategy for performance 6. Index all foreign keys and frequently queried columns 7. Use partial indexes for filtered subsets 8. Design for cursor-based pagination on large datasets 9. Use `read_reference_doc` tool to consult specifications when needed
From Celia-veey/orchestration-engine, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Aug 16, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
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- launches shipped
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- media placements
- founders on every account
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- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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architect-db-architect skill. Agent Mart. https://agentmart.dev/skills/celia-veey-architect-db-architect (last updated 2026-10-24)