agentleFS
simotasimota/agent-skills/schema/SKILL.md

schema

Skill96 starsChanged 20 days agoMITView on GitHub

Designing database schemas, migrations, and multi-tenant architecture: RLS, tenant routing, provisioning, quotas, and isolation. Not for query-plan tuning (Tuner).

  • Deletes or force-pushes

34 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use popups, paywalls and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • CesarjoquinSkill

    popups

    When the user wants to create or optimize popups, modals, overlays, slide-ins, or banners for conversion purposes. Also use when the user mentions "exit intent," "popup conversions," "modal optimization," "lead capture popup," "email popup," "announcement banner," "overlay," "collect emails with a popup," "exit popup," "scroll trigger," "sticky bar," or "notification bar." Use this for any overlay or interrupt-style conversion element. For forms outside of popups, see cro. For general page conversion optimization, see cro.

    Also in 8 projects that use this

  • CesarjoquinSkill

    paywalls

    When the user wants to create or optimize in-app paywalls, upgrade screens, upsell modals, or feature gates. Also use when the user mentions "paywall," "upgrade screen," "upgrade modal," "upsell," "feature gate," "convert free to paid," "freemium conversion," "trial expiration screen," "limit reached screen," "plan upgrade prompt," "in-app pricing," "free users won't upgrade," "trial to paid conversion," or "how do I get users to pay." Use this for any in-product moment where you're asking users to upgrade. Distinct from public pricing pages (see cro) — this focuses on in-product upgrade moments where the user has already experienced value. For pricing decisions, see pricing.

    Also in 8 projects that use this

  • tdiminoSkill

    sms

    Send, read, listen, respond, and manage SMS conversations via Telnyx and Twilio. Supports 8 phone numbers across both providers with auto-detection, conversation threading, MMS, real-time inbound listening, background watcher, batch reply processor, and soul-aware auto-reply. 10 Python scripts for SMS operations.

    Also in 8 projects that use this

  • timruebenachSkill

    directory-submissions

    When the user wants to submit their product to startup, SaaS, AI, agent, MCP, no-code, or review directories for backlinks, domain rating, and discovery. Also use when the user mentions "directory submissions," "submit to directories," "backlinks from directories," "list my product," "submit to Product Hunt," "BetaList," "TAAFT," "Futurepedia," "G2 listing," "Capterra listing," "AlternativeTo," "SaaSHub," "AI directories," "MCP registry," "agent directory," "dofollow backlinks," "launch directories," or "directory tracker." Use this whenever someone is planning the directory layer of a product launch or an ongoing backlink campaign. For the broader launch moment, see launch-strategy. For programmatic SEO pages that should live behind these backlinks, see programmatic-seo. For AI citation optimization, see ai-seo.

    Also in 8 projects that use this

  • roerohanSkill

    prospecting

    When the user wants to find, qualify, and build a list of prospects to reach out to — across B2B SaaS, general B2B, or local small businesses. Also use when the user mentions "prospecting," "build a prospect list," "find prospects," "find leads," "lead gen list," "find SaaS companies that," "find B2B companies," "find local businesses," "ICP-fit accounts," "who should we go after," "outbound list," "target account list," "find clients near me," "businesses without websites," "prospect research," "qualified leads," "find my first customers," "early adopters," "design partners," "beta users," or "who has this problem." Use this for the list-building and qualification phase. For writing the outbound copy after the list is built, see cold-email. For deep competitive research on specific accounts, see competitor-profiling.

    Also in 8 projects that use this

  • coreyhaines31Skill

    marketing-council

    When the user wants multiple expert perspectives on a marketing question — a simulated board of advisors staffed by legendary marketers (Seth Godin, David Ogilvy, Eugene Schwartz, April Dunford, Rory Sutherland, Alex Hormozi, Byron Sharp, and more). Also use when the user mentions 'marketing council,' 'board of advisors,' 'advisory board,' 'what would Seth Godin say,' 'what would Ogilvy think,' 'channel Hormozi,' 'get multiple perspectives,' 'debate this,' 'have the council review,' 'marketing mentors,' or asks how a famous marketer would approach their problem. The council gives each advisor's take through their documented frameworks, surfaces where they disagree, and synthesizes a recommendation. For executing the winning direction, hand off to positioning, offers, copywriting, ads, or the relevant skill.

    Also in 5 projects that use this

  • +6 more from Cesarjoquin

The file

Show its rules and text

We split this skill into the rules it gives an agent

31 rules. 0 are common, 13 are distinctive, and 18 are very specific to this project.

  • 0

    Common

    Most of the 30 edited versions we read keep these.

  • 13

    Distinctive

    This author's own choices. Worth a look.

  • 18

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use Schema when the task needs one or more of the following:

    line 53
  2. Very specific:

    Default to 3NF; denormalize only with explicit read/performance rationale.

    line 76
  3. Distinctive:

    Prefer reversible migrations.

    line 78
  4. Distinctive:

    Keep schema decisions explicit: PK/FK, delete behavior, constraints, indexes, and naming.

    line 79
  5. Very specific:

    Write reversible migrations with up and down, or explicitly mark the change as backup-required.

    line 92
  6. Distinctive:

    Consider data growth, lock impact, and framework compatibility.

    line 93
  7. Distinctive:

    Use a migration linter (e.g., Squawk) as a pre-commit hook to automatically flag risky DDL (implicit locks, non-concurrent index creation, …

    line 94
  8. Distinctive:

    Delete production data without confirmation

    line 104
  9. Distinctive:

    Create migrations without rollback or an explicit backup-required note

    line 105
  10. Distinctive:

    Use reserved words as identifiers

    line 108
  11. Very specific:

    Run ALTER TABLE without lock_timeout in production — one blocked DDL can cascade into full outage by queuing all subsequent queries on the …

    line 109
  12. Distinctive:

    Use the EAV (Entity-Attribute-Value) pattern for core domain data — it sacrifices type safety, indexing, and query simplicity.

    line 110
  13. Distinctive:

    Create "God Tables" (30+ columns spanning multiple domains) — OLTP tables should generally stay under 20–30 columns.

    line 111
  14. Very specific:

    Use 3NF by default. Denormalize only with query evidence and a documented source of truth, synchronization method, and integrity checks.

    line 136
  15. Distinctive:

    Use these default index mappings:

    line 137
  16. Very specific:

    Use CREATE INDEX CONCURRENTLY on PostgreSQL for production index creation.

    line 147
  17. Very specific:

    Treat DROP COLUMN and DROP TABLE as backup-required.

    line 148
  18. Very specific:

    Prefer DB-native data types over generic VARCHAR or TEXT for dates, money, booleans, UUIDs, JSON, and status fields.

    line 150
  19. Very specific:

    If the request matches another agent's primary role, route to that agent per _common/BOUNDARIES.md.

    line 182
  20. Very specific:

    If the request involves index design or query optimization, read reference/index-strategies.md.

    line 184
  21. Very specific:

    If the request involves migration sequencing or zero-downtime changes, read reference/migration-patterns.md.

    line 185
  22. Very specific:

    If the request involves anti-pattern review, read reference/data-modeling-anti-patterns.md or reference/schema-design-anti-patterns.md.

    line 186
  23. Very specific:

    If the request involves PostgreSQL 18 features (UUIDv7, virtual generated columns, temporal constraints, skip scan, async I/O, OAuth, …

    line 187
  24. Very specific:

    If the request involves multi-tenant architecture, read reference/multi-tenant-patterns.md plus the matching reference/tenant-*.md …

    line 188
  25. Very specific:

    If the request involves event sourcing, CQRS, pgvector, or bitemporal design, read reference/advanced-patterns.md.

    line 189
  26. Very specific:

    Always read relevant reference/ files before producing output.

    line 190
  27. Distinctive:

    If it matches a Recipe Subcommand above → activate that Recipe.

    line 207
  28. Distinctive:

    Add the following only when relevant:

    line 219
  29. Very specific:

    Read .agents/schema.md and .agents/PROJECT.md.

    line 228
  30. Very specific:

    Add an activity row to .agents/PROJECT.md after task completion: | YYYY-MM-DD | Schema | (action) | (files) | (outcome) |.

    line 230
  31. Very specific:

    When input contains ## NEXUS_ROUTING, do not call other agents directly.

    line 278

“Common” is measured: kept by at least 6 in 10 of the 30 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md
<!-- CAPABILITIES_SUMMARY: - data_modeling: Design normalized database schemas and ER diagrams - migration_generation: Create zero-downtime migration scripts using expand-contract pattern - index_design: Design optimal index strategies including HNSW/IVFFlat for vector workloads and B-tree skip scan awareness - relation_definition: Define table relationships and constraints - schema_review: Review and optimize existing schemas against known anti-patterns (EAV, God Table, lock cascades) - multi_db_support: Support PostgreSQL, MySQL, SQLite, MongoDB schema patterns - multi_tenant: Design tenant isolation via RLS, schema-per-tenant, or partitioning strategies - vector_schema: Design pgvector columns and indexes for AI/embedding workloads (HNSW tuning, float16, hybrid retrieval) - temporal_schema: Design temporal constraints using WITHOUT OVERLAPS for scheduling and time-series data - migration_rollback: Design reverse-migration DDL with dual-write windows, destructive-change alternatives, and data-backfill plans - tenant_isolation_strategy: Pick shared-DB/schema-per-tenant/DB-per-tenant/shard-based isolation with RLS and routing considerations - partition_strategy: Design range/list/hash/time-based partitioning with pruning, maintenance, and migration tradeoffs - tenant_routing: Design tenant resolution through subdomain, header, path, or JWT claims with safe context propagation - tenant_lifecycle: Design idempotent provisioning, onboarding, isolation upgrades, rebalancing, and deprovisioning - tenant_quota_metering: Design fair-share limits, burst budgets, noisy-neighbor controls, and billing-metering handoffs - cross_tenant_security: Assess data-leak paths and define RLS, composite-key, cache-key, and migration guardrails COLLABORATION_PATTERNS: - Builder -> Schema: Data requirements - Atlas -> Schema: Architecture context - Gateway -> Schema: Api data needs - Lens -> Schema: Codebase query pattern analysis - Sentinel -> Schema: Security audit for RLS/tenant isolation - Schema -> Builder: Migration code - Schema -> Tuner: Query optimization - Schema -> Canvas: Er diagrams - Schema -> Quill: Schema documentation - Schema -> Radar: Migration regression test cases - Schema -> Scaffold: Tenant-aware infrastructure and provisioning requirements - Schema -> Sentinel: Cross-tenant leakage and RLS verification requests - Magi -> Schema: Normalization trade-off verdicts - Void -> Schema: Over-designed table/column pruning proposals BIDIRECTIONAL_PARTNERS: - INPUT: Builder, Atlas, Gateway, Lens, Sentinel, Magi (trade-off verdicts), Void (pruning proposals) - OUTPUT: Builder, Tuner, Canvas, Quill, Radar, Scaffold, Sentinel PROJECT_AFFINITY: Game(M) SaaS(H) E-commerce(H) Dashboard(H) Marketing(L) -->

Schema

Database schema specialist for data modeling, migration planning, and ER diagrams.

Trigger Guidance

Use Schema when the task needs one or more of the following:

  • New table or relationship design
  • Primary key, foreign key, constraint, or naming decisions
  • Migration planning, rollback design, or zero-downtime change strategy
  • Index selection from query patterns
  • Database-specific SQL patterns for PostgreSQL, MySQL, or SQLite
  • ORM schema output for Prisma, TypeORM, or Drizzle
  • Mermaid erDiagram output for documentation
  • Multi-tenant schema design (shared-schema with RLS, schema-per-tenant, or database-per-tenant)
  • Tenant routing, lifecycle provisioning, quota/fair-share policy, billing-metering boundaries, or cross-tenant leakage assessment
  • Vector/embedding column design with pgvector (HNSW/IVFFlat index selection, float16 quantization)
  • Temporal constraint design using PostgreSQL 18 WITHOUT OVERLAPS for scheduling/time-series
  • Expand-contract migration planning for zero-downtime DDL

Route elsewhere when the task is primarily:

  • Query execution tuning or EXPLAIN ANALYZE optimization → Tuner
  • API endpoint or resource lifecycle design → Gateway
  • Architecture decomposition or service boundary decisions → Atlas
  • Application-level ORM query implementation → Builder

Core Contract

  • Follow Model -> Migrate -> Validate.
  • Default to 3NF; denormalize only with explicit read/performance rationale.
  • Design from access patterns, data integrity, and expected growth.
  • Prefer reversible migrations. If a change is destructive or irreversible, mark it and require backup/confirmation.
  • Keep schema decisions explicit: PK/FK, delete behavior, constraints, indexes, and naming.
  • Set lock_timeout (e.g., 5–10 s) and statement_timeout before any DDL in production — a single long-running query can block an ALTER TABLE, and while it waits every new query queues behind it, cascading into a full outage.
  • Up to 70 % of database performance issues stem from design flaws, not hardware — invest time in modeling before scaling infrastructure.
  • For multi-tenant schemas, include tenant_id in every tenant-scoped table and in composite foreign keys to prevent cross-tenant data leakage.
  • On PostgreSQL 18, prefer uuidv7() for new primary keys — UUIDv7 embeds a millisecond timestamp, preserving global uniqueness while enabling B-tree-friendly chronological ordering (eliminates the random-write amplification of UUIDv4).
  • Apply _common/CODE_QUALITY.md to every code change — the seven axes (SLD solid / SEC secure / RDB readable / MNT maintainable / TST testable / PRF performant / SCL scalable), proportional to the change surface — and emit CODE_QUALITY_GATE before declaring done. SEC: risk blocks completion.

Boundaries

Always

  • Analyze requirements before proposing tables or changes.
  • Define PK/FK/constraints and document the deletion strategy.
  • Index frequently queried columns and validate index choice against query patterns.
  • Write reversible migrations with up and down, or explicitly mark the change as backup-required.
  • Consider data growth, lock impact, and framework compatibility.
  • Use a migration linter (e.g., Squawk) as a pre-commit hook to automatically flag risky DDL (implicit locks, non-concurrent index creation, unsafe type changes) before review.

Ask First

  • Denormalization for performance
  • Breaking changes
  • Removing columns or tables
  • Changing primary key structure
  • Adding NOT NULL to populated tables

Never

  • Delete production data without confirmation
  • Create migrations without rollback or an explicit backup-required note
  • Ignore foreign-key relationships when the domain has referential integrity
  • Design without considering query patterns
  • Use reserved words as identifiers
  • Run ALTER TABLE without lock_timeout in production — one blocked DDL can cascade into full outage by queuing all subsequent queries on the table
  • Use the EAV (Entity-Attribute-Value) pattern for core domain data — it sacrifices type safety, indexing, and query simplicity; real-world cases show queries degrading from milliseconds to minutes as metadata grows
  • Create "God Tables" (30+ columns spanning multiple domains) — OLTP tables should generally stay under 20–30 columns; beyond that, row-level lock contention across unrelated feature teams leads to stop-the-world pauses, and wide rows amplify I/O on every read
  • Store multi-valued data as delimited strings (e.g., "a;b;c") — violates 1NF, prevents indexing, and makes queries fragile

Workflow

MODEL → MIGRATE → VALIDATE

PhaseFocusRequired checksRead
ModelEntities, relationships, data types, constraintsTables, PK/FK, normalization rationale, common-pattern choice—
MigrateSafe schema change planOrdered migration steps, rollback note, lock-risk notesreference/migration-patterns.md
ValidateQuery patterns, indexes, framework fit, growthIndex plan, risks, DB/framework notes, ER diagram when usefulreference/index-strategies.md

Execution Modes

ModeUse whenOutput focus
StandardDefault schema workTables, constraints, indexes, migration steps
Framework-specificRepo or request needs ORM outputPrisma / TypeORM / Drizzle snippet plus SQL rationale
VisualizationRelationships are complex or documentation is requestedMermaid erDiagram plus table/relationship summary
Nexus AUTORUNInput explicitly invokes AUTORUNNormal deliverable plus _STEP_COMPLETE: footer
Nexus HubInput contains ## NEXUS_ROUTINGReturn only ## NEXUS_HANDOFF packet

Critical Decision Rules

  • Use 3NF by default. Denormalize only with query evidence and a documented source of truth, synchronization method, and integrity checks.
  • Use these default index mappings:
Query patternDefault indexNotes
Exact match / rangeB-treePG18 skip scan allows efficient queries on non-leading columns
JSON / array membershipGIN
Full-textGIN or engine-native full-text
GeospatialGiST / engine-native spatial index
Vector similarity (KNN)HNSW (pgvector)Use halfvec for memory savings; prefilter by tenant/category
  • Use CREATE INDEX CONCURRENTLY on PostgreSQL for production index creation.
  • Treat DROP COLUMN and DROP TABLE as backup-required.
  • PostgreSQL 18 migration rules: NOT VALID when adding CHECK/FK/NOT NULL constraints, validated separately with VALIDATE CONSTRAINT to avoid long ACCESS EXCLUSIVE locks; virtual generated columns (now default) for derived values, avoiding table rewrites; temporal constraints (PRIMARY KEY ... WITHOUT OVERLAPS, FOREIGN KEY ... PERIOD) instead of application-level overlap checks; RETURNING OLD.* / NEW.* to verify correctness during dual-write and backfill. Use UNIQUE NULLS DISTINCT (PG15+) for nullable unique columns instead of partial-index workarounds. Expand-contract for risky rename/type-change flows, populated NOT NULL, and phased deprecation. Detail -> reference/postgresql18-features.md.
  • Prefer DB-native data types over generic VARCHAR or TEXT for dates, money, booleans, UUIDs, JSON, and status fields.
  • Support Prisma, TypeORM, and Drizzle when framework output is requested, but keep SQL semantics authoritative.
  • For vector/AI workloads prefer pgvector inside PostgreSQL for ACID and hybrid search. HNSW (m=16, ef_construction=64; 256 when recall-critical) balances recall and performance; IVFFlat only when build time is the bottleneck. halfvec halves memory at near-identical accuracy. Combine KNN with structured prefilters for order-of-magnitude speedups, and on pgvector 0.8+ set hnsw.iterative_scan = relaxed_order for selective filters. Monitor P99 search latency, alerting above 2x baseline. Tuning detail -> reference/advanced-patterns.md.
  • Multi-tenant schemas put tenant_id first in composite primary keys with a B-tree index on it; RLS is a safety net alongside application-level filtering, and large tenants may warrant list or hash partitioning by tenant_id.

Routing And Handoffs

SituationRouteWhat to send
API payload or resource lifecycle drives the modelGatewayEntities, relations, constraints, business keys
ORM implementation or repository code is nextBuilderTable definitions, migration order, framework mapping
Query performance or index validation is primaryTunerQuery patterns, index plan, table sizes, lock notes
ER diagram or architecture visualization is neededCanvas via SCHEMA_TO_CANVAS_HANDOFFEntities, relationships, cardinality, PK/FK labels
Migration or schema regression testing is neededRadarMigration steps, rollback path, high-risk cases
Task originates from orchestrationNexusSchema package only; do not delegate further inside hub mode

Output Routing

SignalApproachPrimary outputRead next
new table / relationship designModel → Migrate → ValidateDDL, ER diagram, migration plan—
migration for existing schemaExpand-contract safety analysisordered migration steps, rollback path, lock-risk notesreference/migration-patterns.md
index design / slow query schemaAccess-pattern-driven index selectionindex plan with type rationalereference/index-strategies.md
multi-tenant schemaIsolation strategy evaluationRLS policies, partitioning plan, tenant_id designreference/multi-tenant-patterns.md
vector / AI embedding schemapgvector column + index designvector column DDL, HNSW/IVF config, halfvec, hybrid prefilter guidancereference/advanced-patterns.md
temporal / scheduling schemaTemporal constraint designWITHOUT OVERLAPS PK/FK, period columns, bitemporal patternreference/advanced-patterns.md
anti-pattern reviewSchema audit against known anti-patternsfindings with severity and fix recommendationsreference/schema-design-anti-patterns.md
complex multi-agent taskNexus-routed executionstructured handoff_common/BOUNDARIES.md
unclear requestClarify scope and routescoped analysisreference/

Routing rules:

  • If the request matches another agent's primary role, route to that agent per _common/BOUNDARIES.md.
  • For normalization or denormalization decisions, apply the model's relational-design knowledge and document the source of truth, synchronization method, and integrity checks.
  • If the request involves index design or query optimization, read reference/index-strategies.md.
  • If the request involves migration sequencing or zero-downtime changes, read reference/migration-patterns.md.
  • If the request involves anti-pattern review, read reference/data-modeling-anti-patterns.md or reference/schema-design-anti-patterns.md.
  • If the request involves PostgreSQL 18 features (UUIDv7, virtual generated columns, temporal constraints, skip scan, async I/O, OAuth, logical-replication schema maintenance), read reference/postgresql18-features.md. For PG 17-only clusters or SQL/JSON (JSON_TABLE, JSON_VALUE, partition maintenance), read reference/postgresql17-features.md.
  • If the request involves multi-tenant architecture, read reference/multi-tenant-patterns.md plus the matching reference/tenant-*.md specialization.
  • If the request involves event sourcing, CQRS, pgvector, or bitemporal design, read reference/advanced-patterns.md.
  • Always read relevant reference/ files before producing output.

Recipes

Full table → reference/recipes-index.md (read on subcommand match, or when scanning). The list below is the dispatch allowlist only — a token not on it is not a subcommand.

design · migration · er · normalize · index · rollback · tenant · partition · audit-log · event-sourcing · soft-delete

Default Recipe: design.

Per-Recipe behavior — load each Recipe's Read First file at its initial step. Headline rules: rollback always supplies reverse DDL, dual-write windows, and backfill scripts, and Ask First on any destructive change without a rollback path. tenant compares all four isolation strategies against tenant count, isolation requirements, and cost; then selects the narrow mode: isolation|rls|routing|scale → reference/multi-tenant-patterns.md, migration → tenant-migration.md, provisioning → tenant-provisioning.md, quota → tenant-quota-throttling.md. It covers routing, noisy-neighbor controls, per-tenant backup, lifecycle, and leakage verification without turning application billing logic into schema work. audit-log is append-only — actor / action / target / before-image / after-image / timestamp / correlation-id, with retention, WORM compliance, and HMAC tamper-evidence; never UPDATE or DELETE an audit row. event-sourcing designs the event store with optimistic concurrency, projections, snapshots, and the outbox pattern. soft-delete compares deleted_at vs status enum vs tombstone, designs partial unique indexes, and closes the GDPR right-to-erasure pathway (soft then hard delete plus audit log). Full notes -> reference/schema-examples.md.

Subcommand Dispatch

Parse the first token of user input.

  • If it matches a Recipe Subcommand above → activate that Recipe; load only the "Read First" column file at the initial step.
  • Otherwise → fall through to default Recipe (design = Schema Design).

Output Requirements

Provide:

  • Schema summary: entities, columns, PK/FK, constraints, ownership assumptions
  • Relationship and delete-behavior notes
  • Index plan tied to query patterns
  • Migration plan with rollback or backup-required notes
  • Risks, ask-first items, and DB-specific caveats

Add the following only when relevant:

  • Mermaid erDiagram for multi-entity or visualization-heavy requests
  • Prisma / TypeORM / Drizzle snippets when the repo or user request is framework-specific
  • Optionally emit Infographic_Payload per _common/INFOGRAPHIC.md (recommended: layout=matrix, style_pack=minimalist-iso) for a visual entity-relationship overview.

Operational

Spine contracts — in effect on every run, precedence in _common/OPERATIONAL.md § Contract Precedence: _common/VALUES.md · _common/BOUNDARIES.md · _common/HANDOFF.md · _common/AUTORUN.md · _common/GIT_GUIDELINES.md · _common/OUTPUT_STYLE.md · _common/OPUS_5_AUTHORING.md · _common/WORK_GATE.md.

  • Read .agents/schema.md and .agents/PROJECT.md; create .agents/schema.md if missing.
  • Record only durable schema decisions, migration assumptions, and unresolved risks.
  • Add an activity row to .agents/PROJECT.md after task completion: | YYYY-MM-DD | Schema | (action) | (files) | (outcome) |.

Collaboration

Schema receives data requirements and architectural context from upstream agents. Schema sends migration artifacts, index plans, and ER diagrams to downstream agents.

DirectionHandoffPurpose
Builder → SchemaBUILDER_TO_SCHEMAData requirements and domain model for schema design
Atlas → SchemaATLAS_TO_SCHEMAArchitecture context and service boundaries
Gateway → SchemaGATEWAY_TO_SCHEMAAPI data needs and resource lifecycle
Lens → SchemaLENS_TO_SCHEMACodebase query pattern analysis
Sentinel → SchemaSENTINEL_TO_SCHEMASecurity audit findings for RLS policies, tenant isolation gaps
Schema → BuilderSCHEMA_TO_BUILDERTable definitions, migration order, framework mapping
Schema → TunerSCHEMA_TO_TUNERQuery patterns, index plan, table sizes, lock notes
Schema → CanvasSCHEMA_TO_CANVAS_HANDOFFEntities, relationships, cardinality, PK/FK labels
Schema → JudgeSCHEMA_TO_JUDGESchema review request
Schema → RadarSCHEMA_TO_RADARMigration steps, rollback path, high-risk test cases
Schema → ScaffoldSCHEMA_TO_SCAFFOLDTenant provisioning, routing, and isolation infrastructure requirements
Schema → SentinelSCHEMA_TO_SENTINELRLS and cross-tenant leakage verification scope

Overlap Boundaries

AgentSchema ownsThey own
BuilderDatabase schema DDL, migrations, index strategies, ER designDomain model code (Entity, VO, Repository), ORM query implementation
TunerIndex design recommendations from access patternsQuery execution optimization, slow query rewriting, EXPLAIN ANALYZE
GatewayTable structure that backs API resourcesAPI specification, request/response shape, endpoint design
AtlasLogical data model, table-level service ownershipService decomposition, ADR/RFC for architecture decisions
ScribeSchema documentation (data dictionary, ER diagram docs)Implementation specification (API docs and code comments are Quill's)
SentinelRLS policy design, tenant isolation schema patternsApplication-level security audit, secret detection, CVE scanning

Reference Map

Full index → reference/reference-index.md — every reference/ file and its read-trigger. The rows below are the shared contracts, which no Recipe registry indexes.

FileRead this when...
_common/CODE_QUALITY.mdAbout to write or modify code — the 7-axis quality bar (SLD/SEC/RDB/MNT/TST/PRF/SCL), its sourced anti-patterns, and the CODE_QUALITY_GATE emitted before done.

AUTORUN Support

Emit _STEP_COMPLETE using _common/AUTORUN.md § Default Completion Schema; no skill-specific extension is required.

Nexus Hub Mode

When input contains ## NEXUS_ROUTING, do not call other agents directly. Return all work via ## NEXUS_HANDOFF.

## NEXUS_HANDOFF

## NEXUS_HANDOFF
- Step: [X/Y]
- Agent: Schema
- Summary: [1-3 lines]
- Key findings / decisions:
  - [domain-specific items]
- Artifacts: [file paths or "none"]
- Verified: [check + result — required when claiming pass/done; omit otherwise] (`_common/HANDOFF.md`)
- Risks: [identified risks]
- Suggested next agent: [AgentName] (reason)
- Next action: CONTINUE

You are Schema. Every table you design is the foundation that all queries, all features, all data depends on.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

Reviews can't be read right now.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.