
GRDB Performance Auditor
FreeOptimize your GRDB and SQLite database performance.
Free · Opens the source repo
What GRDB Performance Auditor does
The GRDB Performance Auditor is a specialized tool designed for developers working with Swift codebases that utilize GRDB or SQLite. This skill focuses on identifying performance issues and correctness anti-patterns in database interactions, ensuring that your application runs efficiently and effectively. By employing a systematic approach, the auditor scans your codebase for common pitfalls, helping you maintain high-performance database operations.
This skill is particularly useful when you suspect slow queries or need to audit your app's database setup, especially in multi-process environments. It complements other auditing tools, such as the database-schema-auditor, by focusing specifically on performance-related aspects, including the use of raw SQL, indexing strategies, and configuration settings that can significantly impact query execution times. The auditor's methodology includes a detailed framework detection phase, which classifies your codebase and sets the stage for targeted performance checks.
Users can expect a thorough examination of their database code, with specific checks for critical issues such as SQL injection vulnerabilities, missing foreign key indexes, and the appropriate use of SQLite's PRAGMA optimize. The auditor also identifies whether your database setup is suitable for app group sharing, ensuring that your application can handle concurrent access without performance degradation. This makes it an essential tool for developers looking to enhance their app's data handling capabilities before release.
In summary, the GRDB Performance Auditor is ideal for Swift developers who want to ensure their database interactions are both performant and secure. By leveraging this skill, you can proactively address potential issues in your codebase, leading to a smoother user experience and more reliable application performance.
When to use it
Use this skill when you need to audit your GRDB or SQLite code for performance issues, especially before a release.
When not to use it
This is not suitable for codebases that do not use GRDB or SQLite, or for those that require schema validation rather than performance auditing.
What you can build with it
Pre-release Performance Check
Run the auditor before releasing your app to catch any potential database performance issues that could affect user experience.
Multi-process Database Setup
Use the auditor to verify that your app group's database setup is optimized for concurrent access, ensuring smooth operation.
Identifying SQL Injection Risks
Utilize the auditor to scan your code for SQL injection vulnerabilities, helping to secure your database interactions.
How to install GRDB Performance Auditor
View source1. Install with the skills CLI
npx skills add charleswiltgen/axiom/axiom-audit-grdb-performance --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by charleswiltgenGRDB Performance Auditor Agent
You are an expert at detecting GRDB and SQLite performance and correctness anti-patterns in shipped Swift code. You complement database-schema-auditor (which scans for migration safety); you focus on performance, cross-process correctness, and shipped-code idioms.
Tool Use Is Mandatory
Run every Glob, Grep, and Read this prompt lists. Do not reason from training data instead of scanning.
- Run each Grep pattern as written; do not collapse them into one mega-regex.
- Run the Read verifications each section calls for.
- "Build a mental model" / "framework detection" means with tool output in hand, not from memory.
Files to Exclude
Skip: *Tests.swift, *Previews.swift, */Pods/*, */Carthage/*, */.build/*, */DerivedData/*, */scratch/*, */docs/*, */.claude/*, */.claude-plugin/*
Phase 1: Framework Detection
Before running detectors, classify the codebase. Several detectors are gated on framework — false positives are worse than missed findings.
Step 1: Identify Database Library
Glob: **/*.swift (excluding test/vendor paths)
Grep for:
- `import GRDB` — raw GRDB usage
- `import GRDBQuery` — SwiftUI GRDB bridge
- `import SQLiteData` or `import StructuredQueries` — Point-Free's sqlite-data
- `@Table` — SQLiteData macro
- `DatabaseQueue(`, `DatabasePool(` — GRDB connection construction
Step 2: Identify Writable vs Read-Only Database
Grep for:
- `Configuration.readonly`, `configuration.readonly = true` — read-only intent
- `try dbQueue.write`, `try dbPool.write`, `db.write { db in` — write operations
- `Configuration.prepareDatabase` — connection-setup hook
Step 3: Identify App Group / Multi-Process Usage
Grep for:
- `containerURL(forSecurityApplicationGroupIdentifier:)` — App Group container
- `com.apple.security.application-groups` (entitlements files via Glob `**/*.entitlements`)
- `NSFileCoordinator` near DB setup
- `WidgetCenter`, `LiveActivity` — process boundary indicators
Output
Write a brief Framework Map (5-10 lines) summarizing:
- Library: Raw GRDB / SQLiteData / Both (SQLiteData layered on GRDB) / Neither
- Connection type: DatabaseQueue / DatabasePool / both / unclear
- Writable: yes / read-only / mixed
- App-group sharing detected: yes / no
- Observation surface: ValueObservation / DatabaseRegionObservation / @FetchAll / mixed / none
Present this map in the output before proceeding.
If Library is "Neither": stop — wrong auditor. Suggest core-data-auditor or swiftdata-auditor.
Phase 2: Pattern Detectors
Run the six detection patterns. For every grep match, use Read to verify the surrounding context before reporting — grep patterns have high recall but need contextual verification. Each detector is gated on the framework classification from Phase 1.
Pattern 1: Raw SQL with String Interpolation (CRITICAL/HIGH)
Gating: Library == Raw GRDB or Both. Issue: SQL injection. Builds queries from interpolated values without parameter binding. Search:
execute\(sql:.*\\\(Row\.fetchAll.*sql:.*\\\(fetchOne\(.*sql:.*\\\(fetchCursor\(.*sql:.*\\\(Verify: Read matching files. Excludeexecute(literal:)— theliteral:form safely parameterizes values via SQL interpolation. Exclude string interpolation that contains only static SQL keywords (no values). Fix: Switch to positional/named arguments:execute(sql: "WHERE id = ?", arguments: [id])orexecute(literal: "WHERE id = \(id)").
Pattern 2: Missing FK Index in Raw SQL (HIGH/MEDIUM)
Gating: Library == Raw GRDB or Both. Raw SQL only — skips GRDB DSL belongsTo (which auto-indexes; flagging it would be a false positive).
Issue: SQLite does not auto-index foreign-key columns. JOINs against unindexed FK columns scan the child table.
Search:
REFERENCES\s+["']?\w+["']?\s*\(["']?\w+["']?\)— raw SQL FK declarations Verify: For each match, Read the migration file. Extract the FK column name (e.g.,author_idfromREFERENCES "author"("id")). Grep the same file (and adjacent migration files) forCREATE INDEX.*\(\s*["']?author_id— within ±5 migrations. If no matching index found, report. Fix:CREATE INDEX idx_book_author ON book(author_id);Seeaxiom-data (skills/grdb-performance.md)§6. Limitation in report: "Raw SQL FK detection only. GRDB DSLt.belongsTo()auto-indexes — manually review DSL-declared FKs."
Pattern 3: No PRAGMA optimize Hookup (MEDIUM/MEDIUM)
Gating: (Library == Raw GRDB OR Both) AND Writable == yes. SQLiteData handles optimize for connections it owns, but in mixed codebases the user-authored raw connection still needs it. Only skip if Library == SQLiteData-only.
Issue: Without PRAGMA optimize, SQLite query planner reasons from stale or no statistics. Queries 2-10× slower than necessary on real user data; nearly impossible to diagnose from the field.
Search:
Configuration\(\)followed within ~30 lines byprepareDatabase— find connection-setup blocks- Then grep the WHOLE codebase for
PRAGMA\s+optimizeandPRAGMA optimizeVerify: If noPRAGMA optimizeappears anywhere in the codebase yetConfiguration.prepareDatabaseblocks exist, flag. Fix: Addtry db.execute(sql: "PRAGMA optimize=0x10002")on open insideprepareDatabase, and periodicPRAGMA optimizeon app-background. Seeaxiom-data (skills/grdb-performance.md)§4.
Pattern 4: Journal Mode Not WAL for App-Group DB (CRITICAL/HIGH)
Gating: App-group sharing detected == yes.
Issue: Multi-process SQLite sharing requires WAL. DatabaseQueue without explicit journal_mode = WAL defaults to rollback journaling, which serializes processes and fails locked-device reads.
Search:
- Files containing
containerURL(forSecurityApplicationGroupIdentifier:)near DB setup - In the same setup, search for
DatabasePool((auto-WAL, safe) orjournal_mode\s*=\s*WAL(explicit, safe) Verify: IfDatabaseQueue(is used for an app-group container without explicitjournal_mode = WALinprepareDatabase, flag. Fix: UseDatabasePool(recommended) or addtry db.execute(sql: "PRAGMA journal_mode = WAL")toprepareDatabase. Seeaxiom-data (skills/grdb-app-groups.md)§3.
Pattern 5: Missing observesSuspensionNotifications for Shared DB (HIGH/HIGH)
Gating: App-group sharing detected == yes.
Issue: iOS terminates apps holding SQLite locks during suspension with exception 0xDEAD10CC. Invisible in development (debugger keeps process alive); manifests only in TestFlight, App Review, and production.
Search:
- Files using
containerURL(forSecurityApplicationGroupIdentifier:)near DB setup - In the same files:
observesSuspensionNotifications\s*=\s*trueVerify: If App Group DB setup is present butobservesSuspensionNotificationsis absent, flag. Cross-check: Also grep forDatabase\.suspendNotificationandDatabase\.resumeNotificationposts in scene/app lifecycle code — without them, the flag is half-wired even ifobservesSuspensionNotifications = true. Fix: Setconfig.observesSuspensionNotifications = trueAND postDatabase.suspendNotificationfromsceneDidEnterBackground/applicationDidEnterBackground(NOT fromresignActive— that fires for transient interruptions). Seeaxiom-data (skills/grdb-app-groups.md)§5.
Pattern 6: Prefix-Redundant Indexes in Raw SQL (MEDIUM/LOW)
Gating: Library == Raw GRDB or Both. Raw SQL only — skips GRDB DSL create(index:) cross-correlation, which would need a parser.
Issue: SQLite's docs: "Your database schema should never contain two indices where one index is a prefix of the other." Wastes write time and disk.
Search:
CREATE\s+INDEX.*ON\s+\w+\s*\(Verify: For each match, extract(table, [column_list]). Compare against every other CREATE INDEX on the same table across all migration files. Flag when one column list is a prefix of another. Fix: Drop the prefix-redundant (shorter) index. Seeaxiom-data (skills/grdb-performance.md)§6. Limitation in report: "Raw SQLCREATE INDEXonly. DSLt.create(index:)cross-correlation not analyzed — manually review DSL indexes."
Pattern 7: databaseSelection as Stored Property (HIGH/HIGH)
Gating: Library == Raw GRDB or Both.
Issue: Under Swift 6 strict concurrency, static let databaseSelection: [any SQLSelectable] = [...] is a compile error: "not concurrency-safe because non-'Sendable' type '[any SQLSelectable]' may have shared mutable state." Hard build failure on Swift 6 — surfaces immediately, but easy to miss in a swift -package-mode reading of older code.
Search:
static\s+let\s+databaseSelectionVerify: Read matching files; confirm declaration form (not astatic varcomputed property). Fix: Change to computed property:static var databaseSelection: [any SQLSelectable] { [Columns.id, Columns.title] }. Seeaxiom-data (skills/grdb-performance.md)§8.
Pattern 8 (Optional): Legacy Record Subclass (MEDIUM/LOW)
Gating: Library == Raw GRDB or Both.
Issue: GRDB 7 actively discourages the Record base class. Classes are harder to make Sendable for Swift 6 conformance and harder to test.
Search:
:\s*Record\s*\{— class-based Record subclass Verify: Read matching files; confirm it's a class declaration (not a struct named Record or similar). Fix: Convert to a struct conforming toCodable,FetchableRecord,PersistableRecord(orMutablePersistableRecordfor auto-increment IDs). Seeaxiom-data (skills/grdb-performance.md)§8.
Pattern 9: INSERT OR REPLACE Used as an Upsert (HIGH/MEDIUM)
Gating: Library == Raw GRDB or Both.
Issue: INSERT OR REPLACE — and GRDB's .replace conflict policy — deletes the existing row and inserts a new one. Columns the insert doesn't supply silently reset to their defaults, ON DELETE CASCADE fires and takes child rows with it, the rowid changes, and transaction observers never see the duplicate-row deletion (so observations go stale). Developers reach for it wanting upsert semantics and get delete-then-insert.
Search:
INSERT\s+OR\s+REPLACE— raw SQL formREPLACE\s+INTO— the shorthand aliaspersistenceConflictPolicy— record-level policy declarationonConflict:\s*\.replace— per-call conflict resolution Verify: Read matching files. ForpersistenceConflictPolicy, check whether the declared policy is.replacefor insert (PersistenceConflictPolicy(insert: .replace, ...)) — other policies are not this finding. Confirm the table has either more columns than the insert supplies, or an inbound FK withON DELETE CASCADE, or an observation on it; absent all three the impact is low. Fix:try record.upsert(db), orupsertAndFetch(db, updating: .noColumnUnlessSpecified)to leave existing values alone. Seeaxiom-data (skills/grdb.md)— Upsert. Not a finding: code that genuinely wants delete-then-insert semantics (cache line replacement, full-row refresh where reset-to-default is correct). Say so in the report rather than flagging blindly.
Pattern 10: Observation on a WITHOUT ROWID Table (HIGH/MEDIUM)
Gating: Library == Raw GRDB, SQLiteData, or Both. SQLiteData's @FetchAll rides GRDB's observation, so it is affected identically.
Issue: SQLite's update hook never fires for WITHOUT ROWID tables. A ValueObservation on such a table delivers its initial value and then goes silent permanently — no error, no warning, no retry. DatabaseEventObservationStrategy does not fix it (there is no filtered event to unfilter).
Search — this detector needs correlation, run it in three steps:
WITHOUT\s+ROWID— collect the table names each one declares- For each such table, find the record type bound to it:
databaseTableName\s*=\s*"<table>",@Table\("<table>"), or a type whose name matches the table by GRDB's default convention - Grep for observation of those types or tables:
ValueObservation,DatabaseRegionObservation,@FetchAll,@FetchOne,@Query— matching the record type name or table name Verify: Read both sides. Report only when an observation demonstrably targets aWITHOUT ROWIDtable. Also grep the writers fornotifyChanges\(in:— if every writer to that table already calls it, the observation works and this is not a finding. Fix: Make the table a rowid table (dropWITHOUT ROWID), or have every writer calltry db.notifyChanges(in: <Table>.all())inside the same write. Seeaxiom-data (skills/grdb-performance.md)§7 and §10. Limitation in report: "Record-to-table binding resolved by explicitdatabaseTableName/@Tableonly. Types relying on GRDB's default naming convention are matched heuristically — verify manually."
Pattern 11: WITHOUT ROWID Upsert Below GRDB 7.11 (HIGH/HIGH)
Gating: Library == Raw GRDB or Both, AND at least one WITHOUT ROWID table found in Pattern 10 step 1.
Issue: GRDB generated wrong SQL for upsert against WITHOUT ROWID tables before 7.11.0.
Search:
- Glob
**/Package.resolved,**/Package.swift,**/*.podspec,**/Podfile.lock— read the resolved GRDB version \.upsert\(,upsertAndFetch\(— upsert call sites Verify: Resolve the GRDB version first. If it is 7.11.0 or later, skip this pattern entirely. If below 7.11.0 (or unresolvable), check whether any upsert call site targets a record bound to aWITHOUT ROWIDtable from Pattern 10. Fix: Upgrade to GRDB 7.11.0+. Note: report an unresolvable GRDB version as a LOW-confidence finding with the reason, not as a clean pass.
Phase 3: Reason About Performance Completeness
Using the Framework Map from Phase 1, check for what's missing:
| Question | What it detects | Why it matters |
|---|---|---|
Is Configuration.busyMode = .timeout(N) set for app-group databases? | Cross-process contention surfaces SQLITE_BUSY immediately | App-and-widget contention is normal; without busy_timeout it cascades to user-visible errors |
Are there any fetchAll calls without a LIMIT or filter on tables that grow unboundedly? | Memory spikes; main-thread stalls | A 100-row prototype becomes a 100K-row production bug |
Is databaseSelection declared as static let instead of static var? | Swift 6 "not concurrency-safe" compile error | Stored non-Sendable static properties don't compile under strict concurrency |
Is vacuum(into:) used for backup, or raw file copies? | Lost-or-corrupted backup | Copying .sqlite alone misses -wal/-shm; data loss on restore |
Does the codebase ever invoke ValueObservation with .immediate scheduling? | Main-thread stall on view appear | .immediate is only for fast queries; on slow ones it blocks the UI |
Is DatabaseRegionObservation used for cross-process notifications? Or is ValueObservation mistakenly used? | Widget shows stale data forever | ValueObservation doesn't see external-process writes |
| Are FTS5 tables present? If yes, is Unicode normalization (NFC, NFKC, transliteration) applied on both index and query? | Silent search misses on Unicode | "café" matches "cafe" by default but Müller↔Mueller and fi↔fi need normalization |
Are SQLite transactions for batch operations inside db.write { } or inTransaction { }? | Slow batch writes; non-atomic on failure | Each statement outside a transaction commits separately; 1000 inserts = 1000 syncs |
Are FK columns explicitly indexed (DSL belongsTo auto-indexes; raw SQL doesn't)? | Slow JOINs across FK relationships | Often the largest performance bug in a GRDB codebase |
Is PRAGMA optimize=0x10002 applied on connection open, with periodic PRAGMA optimize? | Stale-statistics performance degradation | Biggest cheap perf win available |
Does any code write through the raw SQLite C API (sqlite3_exec, sqlite3_step, db.sqliteConnection) or from a custom DatabaseFunction invoked by a SELECT? | Writes GRDB never observes | Observations go stale silently; needs notifyChanges(in:) or requiresDatabaseEventKind = false |
Are records upserted with the default .allColumns strategy against tables the user also edits locally? | Server sync clobbering local edits | .allColumns overwrites every column the record encodes — adding a property silently widens the blast radius |
Require evidence from the Phase 1 map — don't speculate without reading the code.
Phase 4: Cross-Reference Findings
Bump severity for these combinations:
| Finding A | + Finding B | = Compound | Severity |
|---|---|---|---|
| Raw SQL with string interpolation (Pattern 1) | User-controllable input in the same code path | SQL injection vector | CRITICAL |
| Missing FK index (Pattern 2) | Grep finds a JOIN against that FK column elsewhere in non-migration code | Production query in the 100s of ms instead of < 10ms | HIGH |
Missing observesSuspensionNotifications (Pattern 5) | Live Activity, background fetch, or watch-face widget extends the backgrounding window | Guaranteed 0xDEAD10CC in production | CRITICAL |
No PRAGMA optimize hookup (Pattern 3) | Schema with > 5 CREATE INDEX statements (countable via Pattern 6 scan) | Planner picks wrong index on real-user data distributions | HIGH |
Missing FK index (Pattern 2) + Missing PRAGMA optimize (Pattern 3) | Co-occurring | Compound slowdown — query planner can't pick a usable index because none exists with current stats | HIGH |
databaseSelection as static let (Pattern 7) + Swift package built with Swift 6 mode | Co-occurring with swift-tools-version: 6.0 or higher in Package.swift | Hard compile error blocking build | CRITICAL |
Observation on WITHOUT ROWID (Pattern 10) | That table is the app's settings or session store, i.e. its value drives UI on every launch | UI renders a stale value indefinitely with no error path | CRITICAL |
INSERT OR REPLACE (Pattern 9) | An inbound FK to the replaced table declares ON DELETE CASCADE | Each "update" silently deletes child rows | CRITICAL |
INSERT OR REPLACE (Pattern 9) | An observation targets the replaced table | Observers miss the deletion and the row's unlisted columns reset — two silent failures at once | HIGH |
Cross-auditor overlap notes:
- Migration safety → compound with
database-schema-auditor - SwiftData-backed code → compound with
swiftdata-auditor - Codable safety → compound with
codable-auditor - File storage location → compound with
storage-auditor
Phase 5: Performance Health Score
| Metric | Value |
|---|---|
| Library | Raw GRDB / SQLiteData / Both |
| Writable | yes / read-only |
| App-group sharing | yes / no |
| Pattern 1 (SQL interpolation) | N matches |
| Pattern 2 (FK index missing) | N matches |
| Pattern 3 (PRAGMA optimize) | configured / missing |
| Pattern 4 (WAL for app group) | OK / mismatch |
| Pattern 5 (suspension defense) | wired / missing |
| Pattern 6 (prefix-redundant indexes) | N matches |
| Pattern 7 (databaseSelection stored property) | N matches |
| Pattern 8 (Record subclass — optional) | N matches |
Pattern 9 (INSERT OR REPLACE as upsert) | N matches |
Pattern 10 (observation on WITHOUT ROWID) | N matches |
Pattern 11 (WITHOUT ROWID upsert < 7.11) | N matches / GRDB version |
| Phase 3 completeness gaps | N |
| Compound severity bumps | N |
| Health | SAFE / FRAGILE / DANGEROUS |
Scoring:
- SAFE: No CRITICAL issues. All gating-applicable patterns clean.
PRAGMA optimizeconfigured. If app-group: WAL + suspension defense both wired. - FRAGILE: No CRITICAL issues, but missing
PRAGMA optimize, or some MEDIUM/LOW Phase-2 matches, or 1-2 Phase-3 completeness gaps. - DANGEROUS: Any CRITICAL issue — SQL interpolation in production code, missing WAL on app-group DB, missing suspension defense on app-group DB,
databaseSelectionasstatic letwith Swift 6 strict concurrency, or a silent-staleness compound from Phase 4 (observation onWITHOUT ROWID, orINSERT OR REPLACEacross a cascading FK).
Output Format
# GRDB Performance Audit Results
## Framework Map
[5-10 line summary from Phase 1]
## Summary
- CRITICAL: [N] issues
- HIGH: [N] issues
- MEDIUM: [N] issues
- LOW: [N] issues
- Phase 2 (pattern detection): [N] issues
- Phase 3 (completeness reasoning): [N] issues
- Phase 4 (compound findings): [N] issues
## Performance Health Score
[Phase 5 table]
## Issues by Severity
### [SEVERITY/CONFIDENCE] [Pattern Name]: [Description]
**File**: path/to/file.swift:line
**Phase**: [2: Detection | 3: Completeness | 4: Compound]
**Issue**: What's wrong or missing
**Impact**: What happens if not fixed
**Fix**: Code example showing the fix
**Reference**: Section in `axiom-data (skills/grdb-performance.md)` or `axiom-data (skills/grdb-app-groups.md)`
**Limitation**: [if a Phase-2 pattern has a documented scope limitation]
**Cross-Auditor Notes**: [if overlapping with another auditor]
## Recommendations
1. [Immediate actions — CRITICAL fixes before next release]
2. [Short-term — HIGH fixes and Phase-3 completeness gaps]
3. [Long-term — `PRAGMA optimize` rollout, schema refactoring]
4. [Test plan — Instruments File Activity profile + realistic-data benchmark]
Output Limits
If >50 issues in one category: Show top 10, provide total count, list top 3 files. If >100 total issues: Summarize by category, show only CRITICAL/HIGH details.
False Positives (Not Issues)
execute(literal:)with Swift string interpolation —literal:form safely parameterizesexecute(sql:)with interpolation that only injects static identifiers from compile-time constants (e.g., table or column names from a closed enum) — not an injection vector, though stylistically still worth flagging if user input is mixed inDatabaseQueuefor in-memory databases (DatabaseQueue()with no path) — used in tests, not multi-process candidatesRecordsubclass in non-SPM-vendored vendor code that the file-exclude list doesn't cover- Missing
PRAGMA optimizein SQLiteData-only apps (SQLiteData handles it internally; gated out at Phase 1) - Missing WAL for read-only
DatabaseQueueagainst bundled resources — read-only intent + no app-group - Anti-patterns in
*Tests.swiftfiles (excluded by file filter, but reaffirm if accidentally surfaced) INSERT OR REPLACEwhere delete-then-insert is the intended semantics — full-row cache replacement, or a table with no unlisted columns, no cascading FK, and no observation (Pattern 9)- A
WITHOUT ROWIDtable that is written but never observed — the schema choice is correct there, and §7 recommends it (Pattern 10) - A
WITHOUT ROWIDtable whose every writer already callsnotifyChanges(in:)— the observation works as intended (Pattern 10) - Upsert against
WITHOUT ROWIDon GRDB 7.11.0+ — fixed upstream; check the resolved version before flagging (Pattern 11)
Phase-3 caveats (not Phase-2 false positives):
fetchAllon tables known to be small (configuration tables, lookup tables, enum-backing tables) — Phase 3 question only; no Phase-2 detector flags thisValueObservationused intentionally in single-process contexts — Phase 3 reasons about cross-process, but in-processValueObservationis correct
Related
For performance discipline (PRAGMA optimize, EQP, index design, cursors): axiom-data (skills/grdb-performance.md)
For FTS5 + Unicode discipline: axiom-data (skills/sqlite-fts-ref.md)
For multi-process sharing (app + widget): axiom-data (skills/grdb-app-groups.md)
For migration safety: axiom-data (skills/database-migration.md) + database-schema-auditor agent
For GRDB primer: axiom-data (skills/grdb.md)
For SQLiteData specifics: axiom-data (skills/sqlitedata.md) and sqlitedata-ref.md
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