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    API Versioning Deprecation Strategy Advisor

    1

    Strategy advisor for API breaking changes, deprecation lifecycles, and consumer migration planning.

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    API Versioning Deprecation Strategy Advisor

    API Versioning Deprecation Strategy Advisor

    Example session with this skill installed

    We are removing the 'legacy_tax_id' field from our /billing endpoint in a public REST API. We currently use v1 path versioning. Suggest a versioning strategy and a deprecation timeline.

    • Read your context and instructions
    • Compiled the api versioning deprecation

    I have analyzed the removal of the legacy_tax_id field. This is a backward-incompatible change for a public API, requiring a major version transition and a formal deprecation period.

    API Lifecycle & Versioning Strategy

    FactorEvidenceImpact on Decision
    Existing schemeURL Path (/v1)Maintain consistency with /v2 path
    API audiencePublicRequires extended deprecation and migration window
    Change TypeField RemovalBreaking change requiring Major version bump

    Semantic Versioning Recommendation: MAJOR
    v1.x.x → v2.0.0

    Recommended Implementation (RFC 9745 & 8594):

    Deprecation: @1722470400
    Link: <https://api.acme.com/docs/migration/v2>; rel="deprecation"
    Sunset: Tue, 31 Dec 2024 23:59:59 UTC
    

    Proposed Deprecation Timeline

    Phase 1: Announce (T-Minus 6 Months): Release v2.0.0. Publish migration guide. Signal deprecation in v1 documentation.
    *

    Phase 2: Warn (T-Minus 4 Months): Inject Deprecation headers into v1 responses. Start monitoring v1 vs v2 traffic distribution.
    *

    Phase 3: Sunset Warning (T-Minus 2 Months): Add Sunset header. Proactively contact top 10 consumers still hitting the legacy field.

    • Phase 4: Removal: Decommission v1 endpoint only if v1 traffic is <1% of total billing volume.

    Risk Register

    RiskSeverityMitigation
    Consumer OutageHighMaintain parallel v1/v2 support for 6 months
    SDK IncompatibilityMediumRelease v2-compatible SDKs simultaneously with API launch

    Next steps

    1. Generate the detailed Migration Guide for the /billing endpoint.
    2. Verify if any active SLAs mandate a notice period longer than 6 months.
    3. Configure telemetry to flag requests specifically accessing the legacy_tax_id field.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Determine SemVer impact for breaking contract changesGenerate RFC-compliant HTTP deprecation and sunset headersCreate phased migration timelines for public or partner APIsAudit Protobuf field removals for backward compatibility risks

    About this skill

    API deprecation is easy to get wrong.

    Poorly planned breaking changes can cause broken integrations, unexpected consumer failures, rushed migrations, and unnecessary versioning complexity. Teams also need to decide when to deprecate an API, when to introduce a new major version, how long to support the old contract, and when it is actually safe to remove it.

    API Versioning & Deprecation Strategy Advisor turns these decisions into a structured engineering workflow.

    What It Does Analyzes API changes and recommends the appropriate Semantic Versioning transition. Determines whether a change should remain PATCH/MINOR compatible or require a MAJOR release. Designs structured API deprecation strategies for public, partner, and internal APIs. Generates RFC-aligned guidance for HTTP Deprecation and Sunset headers. Creates consumer migration timelines based on the evidence you provide. Evaluates consumer migration readiness and identifies unresolved blockers. Builds a technical Risk Register with severity, confidence, evidence, and mitigation. Generates practical 30/60/90-day deprecation and migration execution plans. Creates consumer-facing migration guides with before-and-after examples. Supports REST, OpenAPI/Swagger, gRPC, and Protocol Buffers lifecycle planning. Provides release, deprecation, and sunset readiness assessments. Why This Beats Prompting It Yourself

    Generic AI prompts can produce inconsistent versioning advice, confuse deprecation with removal, overlook consumer migration risks, or rely on outdated HTTP header practices.

    This skill uses a structured decision framework and evidence-first analysis to keep recommendations traceable and technically grounded.

    It does not invent consumer counts, traffic data, contractual requirements, migration progress, or organizational policies that were not provided.

    Core Workflow

    API Change → Versioning Decision → Deprecation Strategy → Consumer Readiness → Migration Plan → Risk Assessment → Rollout → Sunset → Removal

    Instead of simply explaining API versioning concepts, the skill produces an actionable strategy for managing the entire lifecycle of a deprecated API.

    Use Cases Planning a major version release for a public API. Managing breaking changes across external SDKs and integrations. Migrating consumers away from legacy endpoints. Handling security-driven breaking changes. Decommissioning internal microservice APIs. Planning REST or gRPC API lifecycle changes. Safely removing Protocol Buffer fields or legacy RPCs. Creating migration documentation for engineering teams and API consumers. Establishing a structured sunset and removal process. Built For API Engineers Backend Developers Platform Engineers API Architects Engineering Leads Developer Experience Teams SaaS Engineering Teams Teams maintaining public, partner, or internal APIs Known Limitations

    This skill does not perform live production traffic analysis or automatically discover API consumers.

    Readiness scores and timeline recommendations depend on the evidence supplied, such as consumer information, traffic data, migration status, contractual requirements, and organizational policies.

    When important information is missing, the skill identifies the gap instead of inventing an answer.

    Turn API deprecation from a risky deadline into a structured migration process.

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