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Drupal Config Reconcile

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grasmash
drupal-config-reconcile

Reconcile Drupal configuration drift between a working tree and a deployed environment one item at a time, deciding import (disk wins) vs export (DB wins) vs skip for each difference. Use when `drush config:status` shows drift, after pulling a fresh DB, before a deploy, or when local config and a remote/prod environment disagree. Pantheon/Terminus-aware but works with any remote alias; never writes to production.

Overview

Publishergrasmash
Repositorydrupal-claude-skills
Skill namedrupal-config-reconcile
Stars
77
Forks
4
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Drupal Config Reconcile 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.
  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/grasmash/drupal-claude-skills.git /tmp/drupal-claude-skills
mkdir -p .claude/skills
cp -r /tmp/drupal-claude-skills/skills/drupal-config-reconcile .claude/skills/drupal-config-reconcile
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Drupal Config Reconcile 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 Drupal Config Reconcile 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 Drupal Config Reconcile 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.

Drupal Config Reconcile

A guided workflow for resolving the gap between your tracked config (config/default, plus any split dirs) and a deployed environment's active configuration. Most teams have the mechanics (config:status, cim, cex) but no disciplined way to walk drift item-by-item and decide which side wins. This is that discipline.

The core decision: import vs export vs skip

For every divergent config item, exactly one of three things is true, and you pick a direction:

  • Import = disk → DB. The tracked file is the source of truth; it deploys to the environment on the next code deploy + config import. No file change — you keep what's in git.
  • Export = DB → disk. The environment's value wins; you write its config into your tracked files (or git rm the file if the environment doesn't have it).
  • Skip. Leave the divergence unresolved and move on (the right call for benign uuid/_core-only diffs).

Never run config write operations against production. This workflow only reads from a reference environment and only writes to local files. It never writes to any remote database.

Remote CLI — host-neutral

Examples below use Pantheon's Terminus. The workflow is the same on any host — substitute your platform's remote-drush command. If your platform provides Drush site aliases, the generic drush @<alias> <cmd> form works everywhere and is the simplest baseline.

TaskAcquia (acli)Pantheon (Terminus)Platform.sh / UpsunLagoon (amazee.io)Generic (Drush aliases)
Remote drushacli remote:drush -- <cmd>terminus drush <site>.<env> -- <cmd>platform drush -e <env> -- <cmd> (Upsun: upsun drush …)lagoon ssh -p <project> -e <env> -C "drush <cmd>"drush @<alias> <cmd>
Refresh non-prod DB from prodCloud UI Copy database / acli api:environments:database-copyterminus env:clone-content <site>.live <env> --db-onlyplatform sync data (Upsun: upsun sync data)drush sql:sync or a Lagoon post-rollout taskdrush sql:sync @<prod> @<env>
Pull DB to localacli pull:db(drush sql:sync)platform db:dumplagoon ssh … -C "drush sql:dump"drush sql:sync @<env> @self
Get Drush aliasesacli remote:aliases:downloadterminus aliasesplatform-provided @platform.<env>drush sa (Lagoon-provided)aliases in drush/sites/

Auth/link once per platform: Acquia acli auth:login + acli link; Pantheon terminus auth:login; Platform.sh/Upsun platform login / upsun login; Lagoon lagoon login. Never run write/clone operations into production on any of them.

Workflow

1. Pick a reference environment (never live/prod)

Use a non-production environment as the prod stand-in (e.g. Pantheon dev/test, or a CI/staging alias). Refuse to target the live environment — config writes against live are how teams nuke production config.

2. Make the reference DB fresh

The diff is only meaningful if the reference env reflects current production. If the env's DB is stale (commonly >24h), refresh it from live first. On Pantheon:

bash
terminus env:clone-content <site>.live <env> --db-only -y   # Pantheon; see the table above for acli / platform / upsun / lagoon

Cloning modifies a shared environment and takes minutes — confirm with the user first; never do it silently. (Note: most platforms can't reliably tell you when an env was last refreshed — terminus backup:list reports backup recency, not clone-from-live recency. Treat it as a weak hint and ask.)

3. Get the diff on the reference env (not locally)

Run config:status on the reference env so Drupal applies config splits and config_exclude_modules correctly — a local run produces false positives from dev-only modules (devel, views_ui, a prod split, etc.):

bash
terminus drush <site>.<env> -- config:status --format=json   # or your platform's remote-drush form (see table)

States you'll see:

  • Only in DB — exists in the env's database, not in tracked config.
  • Only in sync — exists in tracked config, not in the env's database.
  • Different — present in both, content differs.

Empty list → "in sync, nothing to reconcile" → stop.

4. Fetch the env's value per item with config:get (not a full export)

Do not reach for config:export --destination + scp — config_split commonly fails trying to create its relative split dir under a temp destination, and SSH-command discovery is brittle across Terminus versions. Fetch each item on demand:

bash
terminus drush <site>.<env> -- config:get <name> --format=yaml > /tmp/ref-<name>.yml   # or your platform's remote-drush form

config:get --format=yaml emits the exact file format Drupal exports (no _core key) — byte-identical to tracked sibling files.

Caveat: config:get appends an extra trailing newline. Drupal's phpcs (Drupal.Files.EndFileNewline.TooMany) rejects two newlines at EOF and a pre-commit hook will block the commit. Normalize to exactly one trailing newline when you write the file:

bash
printf '%s\n' "$(cat /tmp/ref-<name>.yml)" > config/default/<name>.yml

5. Walk each item, one at a time

Create a todo list (one entry per config name) so progress is visible. Process in this order — Only in DB, then Different, then Only in sync — and for each:

  1. Locate the local file. Usually config/default/<name>.yml. If absent there, check split dirs (config/prod/, config/local/, config/envs/…) before concluding it's missing — split-managed items live outside config/default and must be written back to the same split dir.
  2. Show the content diff (label left = local/disk, right = env/DB):
    • Different: diff -u config/default/<name>.yml /tmp/ref-<name>.yml
    • Only in DB: local absent → show the env's full content.
    • Only in sync: env absent → show the local file's full content.
  3. Recommend a direction, and say why:
    • Only in DBExport. Config created in the environment (UI or update hook) that should be captured into git (message templates, view displays, etc.).
    • Only in syncImport. New config added in code, not yet deployed; keep it and let it deploy.
    • Different:
      • Only uuid and/or _core differ → Skip (benign environment artifact; don't churn files).
      • Env has real intentional-looking value changes → Export.
      • Local file has intentional code changes → Import.
      • Genuinely unclear → present both sides plainly, default to Skip, let the user decide.
  4. Ask Import / Export / Skip.
  5. Perform it — local files only:
    • Export (Different/Only in DB): write the env's file with the trailing newline normalized (split-managed items → split dir). Only in sync + Export means the env doesn't have it → confirm, then git rm the local file.
    • Import: keep the local file; no change. ⚠️ Only in DB + Import is destructive — the env has config absent from git, so a full drush cim on deploy will delete it from the environment. Warn explicitly and require a second confirmation.
    • Skip: nothing.

6. Verify with the import transformer — NOT config:status

After writing exported files, do not re-run config:status to confirm — it can keep reporting a freshly-written item as Only in DB even though the file is present and valid (a stale display artifact). Verify against the storage layer cim actually uses, the import transformer (which applies config_split exactly as a deploy does):

bash
drush ev '
$t = \Drupal::service("config.import_transformer")->transform(\Drupal::service("config.storage.sync"));
foreach (["<name1>","<name2>"] as $n) {
  print "$n => " . ($t->exists($n) && in_array($n, $t->listAll(), true) ? "RECONCILED (deploy-safe)" : "MISSING — would be deleted on cim") . "\n";
}'

exists() && in listAll() = YES means a real deploy keeps the config. Use this — not the config:status table — as the source of truth for "did my export take?"

7. Summarize and hand off

  • Exported (env → git): files created/overwritten/removed.
  • Kept for deploy (import): items whose local version reaches the env on next deploy.
  • Skipped: unresolved divergences and why.

Then show git status + git diff --stat config/, and do not auto-commit or push — ask first. Remember that Import items only take effect after the code deploys and a config import runs on the environment.

Gotchas

  • config:status on the reference env compares that env's sync dir vs its DB — it won't see your uncommitted local edits. Commit/deploy your edits first, then reconcile remaining drift.
  • Config splits: prod/local split items live in config/prod / config/local, not config/default. Always write Export results back to the file's real location.
  • uuid-only or _core-only diffs are almost always benign — don't churn files over them.

Frequently asked questions

What does the Drupal Config Reconcile AI skill do?

Reconcile Drupal configuration drift between a working tree and a deployed environment one item at a time, deciding import (disk wins) vs export (DB wins) vs skip for each difference. Use when `drush config:status` shows drift, after pulling a fresh DB, before a deploy, or when local config and a remote/prod environment disagree. Pantheon/Terminus-aware but works with any remote alias; never writes to production.

Why use Drupal Config Reconcile on TypingMind?

Because you install it once and use it with any model. Drupal Config Reconcile 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 Drupal Config Reconcile in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/grasmash/drupal-claude-skills/tree/main/skills/drupal-config-reconcile. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Drupal Config Reconcile?

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 Drupal Config Reconcile?

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

Is the Drupal Config Reconcile AI skill free?

It is published on GitHub by grasmash. Check the repository for licensing terms. 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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