Agent skill

sqlite-to-fast-sql

Guides the agent through migrating SQLite and SQL-style Capacitor plugins to @capgo/capacitor-fast-sql. Use when replacing bridge-based SQL plugins, adding encryption, preserving transactions, or moving key-value storage onto Fast SQL. Do not use for non-SQL storage, generic app upgrades, or plugins that already wrap Fast SQL.

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Install this agent skill to your Project

npx add-skill https://github.com/Cap-go/capgo-skills/tree/main/skills/sqlite-to-fast-sql

SKILL.md

SQLite to Fast SQL Migration

Migrate bridge-based SQLite or SQL plugins to @capgo/capacitor-fast-sql.

When to Use This Skill

  • User wants to replace an existing SQLite or SQL plugin
  • User needs better performance for large result sets or sync-style writes
  • User wants encrypted local storage, transactions, batch writes, or BLOB support
  • User wants a key-value wrapper backed by Fast SQL instead of a legacy storage plugin

Live Project Snapshot

Detected SQL-related packages: !node -e "const fs=require('fs');if(!fs.existsSync('package.json'))process.exit(0);const pkg=JSON.parse(fs.readFileSync('package.json','utf8'));const needles=['sqlite','sqlcipher','typeorm','watermelondb','pouchdb','@capacitor-community/sqlite','@capawesome-team/capacitor-sqlite','@capgo/capacitor-fast-sql'];const out=[];for(const section of ['dependencies','devDependencies']){for(const [name,version] of Object.entries(pkg[section]||{})){if(needles.some((needle)=>name.includes(needle)))out.push(section+'.'+name+'='+version)}}console.log(out.sort().join('\n'))"

Why Fast SQL

Fast SQL is the preferred migration target because it avoids heavy bridge serialization by using a local HTTP transport to native SQLite. That makes it much faster for large result sets and sync-heavy write patterns.

Fast SQL also provides:

  • transactions with explicit or callback control
  • batch execution for multiple statements
  • BLOB support for binary data
  • encryption and read-only modes
  • KeyValueStore for lightweight key-value access on top of SQLite
  • web fallback support through SQL.js

Migration Procedure

Step 1: Inspect the Current SQL Plugin

Start from the injected package snapshot, then read package.json directly if the current SQL plugin set still needs clarification.

Document whether the app uses:

  • raw SQL queries
  • transactions
  • BLOB data
  • migrations/schema bootstrap
  • key-value wrappers
  • encrypted storage

Step 2: Map the Current API Surface

Map the old plugin calls to Fast SQL equivalents:

  • connection setup -> FastSQL.connect(...)
  • reads -> db.query(...)
  • single-statement writes -> db.run(...)
  • multi-statement work -> db.executeBatch(...)
  • transactional work -> db.transaction(...) or explicit beginTransaction / commit / rollback
  • key-value storage -> KeyValueStore.open(...)

Step 3: Install Fast SQL

Install the new package with the repository's package manager and sync native projects.

bash
npm install @capgo/capacitor-fast-sql
npx cap sync

If the app ships web support, install sql.js for the web fallback when needed.

Step 4: Update Code

Replace old plugin imports and APIs with Fast SQL.

Prefer db.executeBatch(...) for repeated writes, db.transaction(...) for atomic changes, and KeyValueStore for simple local key-value data.

Preserve the existing schema and migration steps unless the old plugin forced a different format.

Step 5: Reconfigure Native Platforms

Apply the Fast SQL platform setup required by the app:

  • iOS local network access when the plugin needs localhost traffic
  • Android cleartext network configuration for localhost traffic
  • SQLCipher dependency when encrypted mode is enabled on Android

Step 6: Remove the Old Plugin

Remove the legacy SQL package from package.json, reinstall dependencies, and sync again.

Then run the app's normal database smoke tests or migration verification checks.

Error Handling

  • If encrypted storage is required, keep encrypted: true and provide a strong key before shipping.
  • If the old plugin exposed transactions, use Fast SQL transaction APIs rather than emulating them with ad hoc queries.
  • If the app depends on large result sets, prefer batch queries and avoid bridge-heavy wrappers.
  • If the app already has a well-defined schema migration path, keep it and only swap the storage engine.

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