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schema-evolution-planner

Plan zero-downtime schema changes across code, data backfills, and cutovers. Use for expand-contract database changes. NOT for fresh schema design or DBA ops.

schema-evolution-planner1158 wordsMITRepo-owned
Plan zero-downtime schema changes across code, data backfills, and cutovers. Use for expand-contract database changes. NOT for fresh schema design or DBA ops.

Quick Start

Install:

npx skills add github:wyattowalsh/agents --skill schema-evolution-planner -y -g --agent antigravity --agent claude-code --agent codex --agent crush --agent cursor --agent gemini-cli --agent github-copilot --agent grok --agent opencode

Use: /schema-evolution-planner <mode> [change]

Works with Claude Code, Gemini CLI, OpenCode, and other agentskills.io-compatible agents.

Plan safe, staged database schema changes across application code, backfills, and cutovers.

$ARGUMENTSMode
plan &lt;change&gt;Build the full migration sequence
review &lt;migration or rollout&gt;Audit an existing evolution plan
backfill &lt;change&gt;Design the data backfill strategy
cutover &lt;change&gt;Plan read or write switchover
deprecate &lt;change&gt;Plan the contract and removal stage
Natural language about zero-downtime schema changesAuto-detect the closest mode
EmptyShow the mode menu with examples
  1. Never remove or repurpose a live field before the compatibility window closes.
  2. Every backfill must be idempotent and restartable.
  3. Cutovers must define success and abort criteria in advance.
  4. Destructive changes belong only in the contract stage.
  5. If the change is really a fresh schema design problem, route it to database-architect.
TermDefinition
expandAdditive schema change compatible with existing code
backfillData migration that populates new structures from old data
dual-writeTemporarily writing old and new representations
dual-readTemporarily reading from both old and new representations
cutoverThe point where traffic or logic switches to the new path
contractRemoval of deprecated schema after compatibility window closes
compatibility windowPeriod where old and new code must both work
invariantCondition that must remain true during migration
shadow columnNew field added beside the old field during migration
rollback pointLast safe state that can be restored without data loss
#ModeExample
1Planplan rename users.username to handle
2Reviewreview migration plan for orders status enum change
3Backfillbackfill new account_id on invoices
4Cutovercutover reads to new customer_profile table
5Deprecatedeprecate legacy address columns
  • Renaming columns or tables in a live system
  • Splitting or merging tables without downtime
  • Adding required fields to existing tables
  • Introducing new identifiers or foreign keys gradually
  • Coordinating schema changes with multiple application deploys

Use this as the classification gate before choosing a mode:

  1. If the task is fresh schema design, data modeling, or table design from scratch, route to database-architect.
  2. If the task is query tuning, index tuning, vacuuming, replication, or database administration, do not use this skill.
  3. If the task is release orchestration, artifact promotion, or rollout topology beyond schema sequencing, route to release-pipeline-architect.
  4. If the task is an application feature change with no compatibility window, use the application or framework skill instead.
  5. If the prompt mixes rename-vs-redesign uncertainty, start in plan mode and explicitly decide whether the change is additive evolution or a broader redesign.
  1. Identify the current read paths, write paths, downstream consumers, and deployment order constraints.
  2. Classify the change: rename, type change, split, merge, constraint hardening, or deletion.
  3. Read references/change-type-decision-matrix.md to pick the safest expand-contract pattern for the change type.
  4. Read references/sample-rollout-sequences.md if the change touches multiple deploys, readers, writers, or downstream consumers.
  5. Write an expand-contract sequence with explicit checkpoints: expand, deploy compatibility code, backfill, validate invariants, cutover, then contract.
  6. Define the compatibility window and what old and new code must tolerate during it.
  7. Name the invariants that must be measured before moving to the next phase.
  8. Present the plan using the relevant template from references/output-templates.md.
  1. Read the migration plan, migration files, and any rollout notes.
  2. Read references/migration-failure-modes.md and references/change-type-decision-matrix.md.
  3. Check for hidden destructive steps, missing compatibility windows, or missing rollback points.
  4. Flag assumptions about data quality, backfill runtime, and consumer readiness.
  5. Rank findings by severity.
  6. Present findings using the review template in references/output-templates.md.
  1. Define the source of truth and target population logic.
  2. Make the backfill idempotent and chunkable.
  3. Read references/migration-failure-modes.md for duplicate-write, drift, and reconciliation hazards.
  4. Specify batching strategy, retry behavior, progress tracking, and reconciliation checks.
  5. Decide whether dual-write is required while the backfill runs.
  6. Present the plan using the backfill template in references/output-templates.md.
  1. Separate write cutover from read cutover when they do not need to happen together.
  2. Define the exact success checks before switching traffic or logic.
  3. Read references/sample-rollout-sequences.md and references/migration-failure-modes.md for abort and rollback patterns.
  4. Keep a rollback point until the new path is proven stable.
  5. Present the cutover checklist using references/output-templates.md.
  1. Verify no live code, jobs, or consumers still depend on the old structure.
  2. Remove writes first, then reads, then the deprecated schema.
  3. Record the evidence that the compatibility window is closed.
  4. Present evidence and removal ordering using the deprecate template in references/output-templates.md.
  • Every plan must include expand, compatibility, validation, cutover, and contract stages.
  • State the invariants to check between stages.
  • Name the rollback point and the evidence needed to advance.
ComplexityStrategy
SmallUse a single additive compatibility path for simple renames, nullable adds, or shadow-column introductions.
MediumUse explicit staged execution: expand, deploy compatibility logic, backfill in chunks, validate, cut over, then contract.
LargeTreat the change as a rollout program with separate read and write cutovers, evidence gates, and phased consumer movement.
  • Read reference files as indicated by the active mode instead of loading everything at once.
  • Load references/change-type-decision-matrix.md on demand for change classification and ambiguity handling.
  • Load references/migration-failure-modes.md on demand for reviews, backfills, and cutovers.
  • Load references/sample-rollout-sequences.md on demand for multi-phase execution planning.
  • Load references/output-templates.md on demand when presenting the final response.

IS for: zero-downtime renames, splits, merges, backfills, staged cutovers, compatibility sequencing.

NOT for: greenfield schema modeling, query tuning, or database administration.

FieldValue
Source Typerepo-owned
Display Sourcegithub:wyattowalsh/agents
Source Kindrepo
Installabilityportable command
Review Statereviewed
Target Agentsantigravity, claude-code, codex, crush, cursor, gemini-cli, github-copilot, grok, opencode
View Full SKILL.md
SKILL.md
---
name: schema-evolution-planner
description: >-
Plan zero-downtime schema changes across code, data backfills, and cutovers.
Use for expand-contract database changes. NOT for fresh schema design or DBA
ops.
argument-hint: "<mode> [change]"
license: MIT
metadata:
author: wyattowalsh
version: "1.0.0"
---
# Schema Evolution Planner
Plan safe, staged database schema changes across application code, backfills,
and cutovers.
**Scope:** Expand-contract and compatibility planning for live systems. NOT for
greenfield schema design (database-architect) or DBA operations.
## Canonical Vocabulary
| Term | Definition |
|------|------------|
| **expand** | Additive schema change compatible with existing code |
| **backfill** | Data migration that populates new structures from old data |
| **dual-write** | Temporarily writing old and new representations |
| **dual-read** | Temporarily reading from both old and new representations |
| **cutover** | The point where traffic or logic switches to the new path |
| **contract** | Removal of deprecated schema after compatibility window closes |
| **compatibility window** | Period where old and new code must both work |
| **invariant** | Condition that must remain true during migration |
| **shadow column** | New field added beside the old field during migration |
| **rollback point** | Last safe state that can be restored without data loss |
## Dispatch
| $ARGUMENTS | Mode |
|------------|------|
| `plan <change>` | Build the full migration sequence |
| `review <migration or rollout>` | Audit an existing evolution plan |
| `backfill <change>` | Design the data backfill strategy |
| `cutover <change>` | Plan read or write switchover |
| `deprecate <change>` | Plan the contract and removal stage |
| Natural language about zero-downtime schema changes | Auto-detect the closest mode |
| Empty | Show the mode menu with examples |
## Mode Menu
| # | Mode | Example |
|---|------|---------|
| 1 | Plan | `plan rename users.username to handle` |
| 2 | Review | `review migration plan for orders status enum change` |
| 3 | Backfill | `backfill new account_id on invoices` |
| 4 | Cutover | `cutover reads to new customer_profile table` |
| 5 | Deprecate | `deprecate legacy address columns` |
## When to Use
- Renaming columns or tables in a live system
- Splitting or merging tables without downtime
- Adding required fields to existing tables
- Introducing new identifiers or foreign keys gradually
- Coordinating schema changes with multiple application deploys
## Classification Logic
Use this as the classification gate before choosing a mode:
1. If the task is fresh schema design, data modeling, or table design from scratch, route to `database-architect`.
2. If the task is query tuning, index tuning, vacuuming, replication, or database administration, do not use this skill.
3. If the task is release orchestration, artifact promotion, or rollout topology beyond schema sequencing, route to `release-pipeline-architect`.
4. If the task is an application feature change with no compatibility window, use the application or framework skill instead.
5. If the prompt mixes rename-vs-redesign uncertainty, start in `plan` mode and explicitly decide whether the change is additive evolution or a broader redesign.
## Instructions
### Mode: Plan
1. Identify the current read paths, write paths, downstream consumers, and deployment order constraints.
2. Classify the change: rename, type change, split, merge, constraint hardening, or deletion.
3. Read `references/change-type-decision-matrix.md` to pick the safest expand-contract pattern for the change type.
4. Read `references/sample-rollout-sequences.md` if the change touches multiple deploys, readers, writers, or downstream consumers.
3. Write an expand-contract sequence with explicit checkpoints: expand, deploy compatibility code, backfill, validate invariants, cutover, then contract.
4. Define the compatibility window and what old and new code must tolerate during it.
5. Name the invariants that must be measured before moving to the next phase.
6. Present the plan using the relevant template from `references/output-templates.md`.
### Mode: Review
1. Read the migration plan, migration files, and any rollout notes.
2. Read `references/migration-failure-modes.md` and `references/change-type-decision-matrix.md`.
2. Check for hidden destructive steps, missing compatibility windows, or missing rollback points.
3. Flag assumptions about data quality, backfill runtime, and consumer readiness.
4. Rank findings by severity.
5. Present findings using the review template in `references/output-templates.md`.
### Mode: Backfill
1. Define the source of truth and target population logic.
2. Make the backfill idempotent and chunkable.
3. Read `references/migration-failure-modes.md` for duplicate-write, drift, and reconciliation hazards.
3. Specify batching strategy, retry behavior, progress tracking, and reconciliation checks.
4. Decide whether dual-write is required while the backfill runs.
5. Present the plan using the backfill template in `references/output-templates.md`.
### Mode: Cutover
1. Separate write cutover from read cutover when they do not need to happen together.
2. Define the exact success checks before switching traffic or logic.
3. Read `references/sample-rollout-sequences.md` and `references/migration-failure-modes.md` for abort and rollback patterns.
4. Keep a rollback point until the new path is proven stable.
5. Present the cutover checklist using `references/output-templates.md`.
### Mode: Deprecate
1. Verify no live code, jobs, or consumers still depend on the old structure.
2. Remove writes first, then reads, then the deprecated schema.
3. Record the evidence that the compatibility window is closed.
4. Present evidence and removal ordering using the deprecate template in `references/output-templates.md`.
## Output Requirements
- Every plan must include expand, compatibility, validation, cutover, and contract stages.
- State the invariants to check between stages.
- Name the rollback point and the evidence needed to advance.
## Critical Rules
1. Never remove or repurpose a live field before the compatibility window closes.
2. Every backfill must be idempotent and restartable.
3. Cutovers must define success and abort criteria in advance.
4. Destructive changes belong only in the contract stage.
5. If the change is really a fresh schema design problem, route it to database-architect.
## Scaling Strategy
| Complexity | Strategy |
|------------|----------|
| Small | Use a single additive compatibility path for simple renames, nullable adds, or shadow-column introductions. |
| Medium | Use explicit staged execution: expand, deploy compatibility logic, backfill in chunks, validate, cut over, then contract. |
| Large | Treat the change as a rollout program with separate read and write cutovers, evidence gates, and phased consumer movement. |
## Progressive Disclosure
- Read reference files as indicated by the active mode instead of loading everything at once.
- Load `references/change-type-decision-matrix.md` on demand for change classification and ambiguity handling.
- Load `references/migration-failure-modes.md` on demand for reviews, backfills, and cutovers.
- Load `references/sample-rollout-sequences.md` on demand for multi-phase execution planning.
- Load `references/output-templates.md` on demand when presenting the final response.
## Reference File Index
| File | Purpose | When to Read |
|------|---------|--------------|
| `references/change-type-decision-matrix.md` | Maps schema change types to safe evolution patterns, compatibility windows, and red flags | Any `plan` or `review` request |
| `references/migration-failure-modes.md` | Catalog of common rollout, backfill, and cutover failure modes with mitigations | `review`, `backfill`, or `cutover` work |
| `references/sample-rollout-sequences.md` | Reference expand-contract sequences for common migration shapes | Multi-phase `plan` or `cutover` work |
| `references/output-templates.md` | Standard response templates for plans, reviews, backfills, cutovers, and deprecations | Presenting final output in any mode |
## Scope Boundaries
**IS for:** zero-downtime renames, splits, merges, backfills, staged cutovers, compatibility sequencing.
**NOT for:** greenfield schema modeling, query tuning, or database administration.

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