Provider Framework Migration logo

Provider Framework Migration

Organization
hashicorp
provider-framework-migration

Migrate Terraform provider resources and data sources from Plugin SDKv2 to the Plugin Framework: muxing both plugins in one provider (terraform-plugin-mux, tf5to6server), per-resource migration workflow, SDKv2-to-Framework schema mapping (ForceNew, ValidateFunc, DiffSuppressFunc, Default, Timeouts, blocks), null-vs-zero-value behavioral traps, and state-compatibility verification. Use when converting or translating SDKv2 resources to the Framework, setting up a muxed provider server, deciding whether a resource should be migrated at all, or debugging plan diffs and state errors that appeared after a migration.

Overview

Publisherhashicorp
Repositoryagent-skills
Skill nameprovider-framework-migration
Stars
880
Forks
130
Bundled files
1
LicenseMPL-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by hashicorp on GitHub. Read the source before you install it.

Installation

Install the Provider Framework Migration AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/hashicorp/agent-skills/tree/main/plugins/terraform/skills/provider-framework-migration
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/hashicorp/agent-skills.git /tmp/agent-skills
mkdir -p .claude/skills
cp -r /tmp/agent-skills/plugins/terraform/skills/provider-framework-migration .claude/skills/provider-framework-migration
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Provider Framework Migration in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Provider Framework Migration on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Provider Framework Migration is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Migrating from Plugin SDKv2 to the Plugin Framework

The Plugin Framework is required for net-new resources and data sources; SDKv2 is maintenance-only. Migration is per-resource and incremental: a muxed provider serves SDKv2 and Framework implementations side by side, so you never need a big-bang rewrite. This skill covers the mux setup, the per-resource workflow, and the behavioral traps that turn a mechanical translation into a silent breaking change.

Reference (load when needed):

  • references/schema-mapping.md — the full SDKv2 → Framework translation table with code pairs

Official guide: Framework migration.

Decide Whether to Migrate at All

Migration has real risk and little user-visible payoff, so triage first:

  • Do not migrate complex or heavily-used resources without a driving need (a Framework-only feature, a bug that SDKv2 cannot fix). The two SDKs differ behaviorally — most importantly around null versus zero values — and those differences surface as breaking changes for existing users. This is the standing policy in large providers like terraform-provider-aws.
  • Simple resources migrate safely: flat schemas, no DiffSuppressFunc, no CustomizeDiff, no StateFunc, no complex nested blocks.
  • New capabilities never require migrating old code — mux and write the new resource in the Framework alongside the old ones.

To tell what mode a provider is in, check go.mod: terraform-plugin-mux present means it already serves both; only terraform-plugin-sdk/v2 means SDKv2-only (mux setup is your first step); only terraform-plugin-framework means the migration is done.

Step 1: Mux the Provider

Combine both plugin servers in main.go. Serving protocol version 6 requires upgrading the SDKv2 server with tf5to6server (protocol 6 needs Terraform CLI >= 1.0; if you must support 0.12+, mux at protocol 5 with tf6to5server/tf5muxserver instead — but the Framework provider then cannot use protocol-6-only features like nested attributes):

go
package main

import (
    "context"
    "flag"
    "log"

    "github.com/hashicorp/terraform-plugin-framework/providerserver"
    "github.com/hashicorp/terraform-plugin-go/tfprotov6"
    "github.com/hashicorp/terraform-plugin-go/tfprotov6/tf6server"
    "github.com/hashicorp/terraform-plugin-mux/tf5to6server"
    "github.com/hashicorp/terraform-plugin-mux/tf6muxserver"

    "example.org/terraform-provider-examplecloud/internal/provider"
    sdkprovider "example.org/terraform-provider-examplecloud/internal/sdkprovider"
)

func main() {
    var debug bool
    flag.BoolVar(&debug, "debug", false, "run with support for debuggers")
    flag.Parse()

    ctx := context.Background()

    upgradedSDKServer, err := tf5to6server.UpgradeServer(
        ctx,
        sdkprovider.Provider().GRPCProvider,
    )
    if err != nil {
        log.Fatal(err)
    }

    providers := []func() tfprotov6.ProviderServer{
        providerserver.NewProtocol6(provider.New(version)()),
        func() tfprotov6.ProviderServer { return upgradedSDKServer },
    }

    muxServer, err := tf6muxserver.NewMuxServer(ctx, providers...)
    if err != nil {
        log.Fatal(err)
    }

    var serveOpts []tf6server.ServeOpt
    if debug {
        serveOpts = append(serveOpts, tf6server.WithManagedDebug())
    }

    err = tf6server.Serve("registry.terraform.io/example/examplecloud",
        muxServer.ProviderServer, serveOpts...)
    if err != nil {
        log.Fatal(err)
    }
}

Mux requirements that bite in practice:

  • Provider schemas must match exactly across both plugins — same provider-level attributes, same types, same descriptions. Keep one source of truth for the provider configuration and mirror it.
  • Each resource and data source may exist in only one of the two plugins. Migration's final step is deleting the SDKv2 registration.
  • If publishing to the Registry with protocol 6, set "metadata": {"protocol_versions": ["6.0"]} in terraform-registry-manifest.json.

Step 2: Baseline Before You Touch Anything

The migrated resource must be indistinguishable to users. Prove it with tests that exist before the migration:

  1. Ensure the resource has passing acceptance coverage: _basic with an import step (ImportStateVerify: true), _disappears, and per-attribute update tests. If coverage is missing, write it against the SDKv2 implementation first — these tests are the migration's acceptance criteria and must pass unchanged afterward.
  2. Note behaviors tests don't capture: attribute defaults, what happens when optional attributes are omitted (null vs ""/0/false is about to matter), and any DiffSuppressFunc/StateFunc normalization.

Step 3: Port the Resource

Translate schema and CRUD using the mapping table in references/schema-mapping.md. The rules that prevent breaking changes:

  • Blocks stay blocks. An SDKv2 Elem: &schema.Resource{...} written as block { ... } syntax in user configs must become a Framework Block (schema.ListNestedBlock/SetNestedBlock) — converting it to a nested attribute changes the HCL syntax users must write, which is a breaking change. Nested attributes are for new schema only.
  • Null is not zero. SDKv2 d.Get("name") returned "" for unset; the Framework model gives you types.String that distinguishes null, unknown, and "". Everywhere the old code checked == "" or relied on GetOk, decide explicitly what null means, and make sure you send the API the same thing SDKv2 sent (usually: omit the field when null).
  • Keep the id attribute. Net-new Framework resources may omit a redundant id, but a migrated resource must keep its exact schema — removing or renaming attributes breaks existing state and configs.
  • State must round-trip. The Framework reads the state SDKv2 wrote. If every attribute keeps its name and type, no state upgrade is needed. If the old schema stored a value the new types package normalizes differently, you need a StateUpgrader — treat that as a signal the resource may be in the do-not-migrate bucket.

Step 4: Move the Registration

Register the resource in the Framework provider's Resources() and delete it from the SDKv2 provider's ResourcesMap in the same commit — mux errors on duplicates.

Step 5: Verify

  1. The pre-existing acceptance tests pass without modification — especially ImportStateVerify, which diffs imported state against stored state and catches most null-vs-zero regressions.
  2. Add a state-compatibility step: apply a config with the last released (SDKv2) provider version, then plan with the migrated build — the plan must be empty. In terraform-plugin-testing this is a two-step test using ExternalProviders for the old version, then ProtoV6ProviderFactories with ConfigPlanChecks asserting an empty plan. The provider-test-patterns skill (if available) documents the pattern.
  3. terraform plan against a real pre-migration state file shows no diff.

Checklist

  • Resource is simple enough to migrate (no complex diff customization), or there's a driving need
  • Mux serves both plugins; provider-level schemas identical in both
  • Acceptance tests existed before migration and pass unchanged after
  • Blocks remained blocks; attribute names and types unchanged; id kept
  • Null/omitted semantics preserved (API receives what SDKv2 sent)
  • SDKv2 registration removed in the same change
  • Empty-plan verified against state written by the previous release
  • Changelog entry added, if the repo tracks release notes

Related Skills

Use the provider-resources skill (if available) for Framework CRUD, finder, and waiter patterns in the ported code, and provider-test-patterns for the regression and version-upgrade test patterns.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Provider Framework Migration AI skill do?

Migrate Terraform provider resources and data sources from Plugin SDKv2 to the Plugin Framework: muxing both plugins in one provider (terraform-plugin-mux, tf5to6server), per-resource migration workflow, SDKv2-to-Framework schema mapping (ForceNew, ValidateFunc, DiffSuppressFunc, Default, Timeouts, blocks), null-vs-zero-value behavioral traps, and state-compatibility verification. Use when converting or translating SDKv2 resources to the Framework, setting up a muxed provider server, deciding whether a resource should be migrated at all, or debugging plan diffs and state errors that appeare...

Why use Provider Framework Migration on TypingMind?

Because you install it once and use it with any model. Provider Framework Migration is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Provider Framework Migration in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hashicorp/agent-skills/tree/main/plugins/terraform/skills/provider-framework-migration. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Provider Framework Migration?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Provider Framework Migration?

As many as you like. As long as a model supports skills, you can use Provider Framework Migration with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Provider Framework Migration AI skill free?

Yes. It is published on GitHub by hashicorp under the MPL-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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