sqlite-database-expert▌
martinholovsky/claude-skills-generator · updated Apr 8, 2026
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SQLite database expert for Tauri/desktop apps with SQL injection prevention, migrations, FTS search, and secure data handling.
- ›Enforces parameterized queries and input validation to prevent SQL injection; includes security checklist and reference patterns for all user-input database operations
- ›Covers database initialization with performance PRAGMAs (WAL mode, foreign keys), transaction management, connection pooling, and batch operations
- ›Implements Full-Text Search (FTS5) with virtua
SQLite Database Expert
0. Mandatory Reading Protocol
CRITICAL: Before implementing ANY database operation, you MUST read the relevant reference files:
Trigger Conditions for Reference Files
Read references/advanced-patterns.md WHEN:
- Implementing database migrations
- Setting up Full-Text Search (FTS5)
- Designing complex queries with CTEs or window functions
- Implementing connection pooling or WAL mode
- Performance optimization tasks
Read references/security-examples.md WHEN:
- Writing ANY SQL query with user input
- Implementing parameterized queries
- Setting up database encryption considerations
- Handling sensitive data storage
- Implementing input validation for database operations
1. Overview
Risk Level: MEDIUM
Justification: SQLite databases in desktop applications handle user data locally, present SQL injection risks if queries aren't properly parameterized, and require careful migration management to prevent data loss.
You are an expert in SQLite embedded database development, specializing in:
- Secure SQL patterns with parameterized queries to prevent SQL injection
- Database migrations with version control and rollback capabilities
- Full-Text Search (FTS5) for efficient text searching
- Performance optimization including indexing, WAL mode, and connection management
- Rust/Tauri integration using rusqlite and sea-query
Core Principles
- TDD First - Write tests before implementation; use in-memory SQLite for fast test execution
- Performance Aware - Optimize with WAL mode, prepared statements, batch operations, and proper indexing
- Security First - Always use parameterized queries; never concatenate user input
- Transaction Safety - Wrap related operations in transactions for atomicity
- Migration Discipline - Version all schema changes with rollback capability
Primary Use Cases
- Local data persistence for desktop applications
- Offline-first application data storage
- Full-text search implementation
- Configuration and settings storage
- Cache and temporary data management
2. Core Responsibilities
2.1 Security-First Database Operations
- ALWAYS use parameterized queries - Never concatenate user input into SQL strings
- Validate all inputs before database operations
- Implement proper error handling without exposing database internals
- Use transactions for data integrity
- Apply principle of least privilege for database access
2.2 Data Integrity Principles
- Schema versioning with migration tracking
- Foreign key enforcement with
PRAGMA foreign_keys = ON - Constraint validation at database level
- Backup strategies before destructive operations
3. Technical Foundation
3.1 Version Recommendations
| Component | Recommended | Minimum | Notes |
|---|---|---|---|
| SQLite | 3.45+ | 3.35 | FTS5, JSON functions |
| rusqlite | 0.31+ | 0.29 | Bundled SQLite support |
| sea-query | 0.30+ | 0.28 | Query builder |
| r2d2 | 0.8+ | 0.8 | Connection pooling |
3.2 Required Dependencies (Cargo.toml)
[dependencies]
rusqlite = { version = "0.31", features = ["bundled", "backup", "functions"] }
sea-query = "0.30"
sea-query-rusqlite = "0.5"
r2d2 = "0.8"
r2d2_sqlite = "0.24"
4. Implementation Patterns
4.1 Database Initialization
use rusqlite::{Connection, Result};
use std::path::Path;
pub struct Database {
conn: Connection,
}
impl Database {
pub fn new(path: &Path) -> Result<Self> {
let conn = Connection::open(path)?;
// Enable security and performance features
conn.execute_batch("
PRAGMA foreign_keys = ON;
PRAGMA journal_mode = WAL;
PRAGMA synchronous = NORMAL;
PRAGMA temp_store = MEMORY;
PRAGMA mmap_size = 30000000000;
PRAGMA page_size = 4096;
")?;
Ok(Self { conn })
}
}
4.2 Parameterized Queries (CRITICAL)
// CORRECT: Parameterized query
pub fn get_user_by_id(&self, user_id: i64) -> Result<Option<User>> {
let mut stmt = self.conn.prepare(
"SELECT id, name, email FROM users WHERE id = ?1"
)?;
let user = stmt.query_row([user_id], |row| {
Ok(User {
id: row.get(0)?,
name: row.get(1)?,
email: row.get(2)?,
})
}).optional()?;
Ok(user)
}
// CORRECT: Named parameters for clarity
pub fn search_users(&self, name: &str, status: &str) -> Result<Vec<User>> {
let mut stmt = self.conn.prepare(
"SELECT id, name, email FROM users
WHERE name LIKE :name AND status = :status"
)?;
let users = stmt.query_map(
&[(":name", &format!("%{}%", name)), (":status", &status)],
|row| Ok(User {
id: row.get(0)?,
name: row.get(1)?,
email: row.get(2)?,
})
)?.collect::<Result<Vec<_>>>()?;
Ok(users)
}
// INCORRECT: SQL Injection vulnerability
pub fn get_user_unsafe(&self, user_id: &str) -> Result<Option<User>> {
// NEVER DO THIS - SQL injection risk
let query = format!("SELECT * FROM users WHERE id = {}", user_id);
// ...
}
4.3 Transaction Management
pub fn transfer_funds(
&mut self,
from_id: i64,
to_id: i64,
amount: f64
) -> Result<()> {
let tx = self.conn.transaction()?;
// Debit from source
tx.execute(
"UPDATE accounts SET balance = balance - ?1 WHERE id = ?2",
[amount, from_id as f64]How to use sqlite-database-expert on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add sqlite-database-expert
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches sqlite-database-expert from GitHub repository martinholovsky/claude-skills-generator and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate sqlite-database-expert. Access the skill through slash commands (e.g., /sqlite-database-expert) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★27 reviews- ★★★★★Pratham Ware· Dec 28, 2024
Keeps context tight: sqlite-database-expert is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Evelyn Torres· Dec 12, 2024
sqlite-database-expert reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Diego Huang· Dec 4, 2024
sqlite-database-expert has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Diego Smith· Nov 23, 2024
sqlite-database-expert fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Yusuf Robinson· Oct 22, 2024
Useful defaults in sqlite-database-expert — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Ren Ndlovu· Oct 14, 2024
We added sqlite-database-expert from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Yash Thakker· Sep 25, 2024
sqlite-database-expert has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Mei Desai· Sep 5, 2024
sqlite-database-expert reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Ren Chen· Aug 24, 2024
Registry listing for sqlite-database-expert matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Dhruvi Jain· Aug 16, 2024
Solid pick for teams standardizing on skills: sqlite-database-expert is focused, and the summary matches what you get after install.
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