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Rename Process

CommunityPopular
davidondrej
rename-process

Coordinate project or repository renames and moves involving Git, BB, services, or multiple machines. Preserve work and history while updating operational paths. Excludes ordinary file, code-symbol, and thread-title renames.

Overview

Publisherdavidondrej
Repositoryskills
Skill namerename-process
Stars
4.1K
Forks
599
Bundled files
2
LicenseMIT
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.

  • 2 bundled files

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

  • Open source

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

Installation

Install the Rename Process 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/davidondrej/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/ops-and-setup/rename-process .claude/skills/rename-process
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Rename Process 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 Rename Process 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 Rename Process 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.

Rename process

Finish the requested rename with the smallest verified set of changes. Use one coordinator working outside the directory being renamed. Keep existing approvals; ask only for missing decisions or authorization.

Keep the scope small

  • Touch only systems affected by the changed name or path. Keep unrelated Git pulls/rebases, cleanup, dependency updates, document reconciliation, and implementation separate.
  • Preserve the existing repository, local work, ignored files, credentials, stashes, worktrees, and conversation identities. A repository split requires explicit scope for the new repository and its visibility/content.
  • Keep product branding, domains, runtime/plugin identities, and historical documents unchanged unless their change is requested or necessary. Avoid bulk replacement of every old-name occurrence.
  • Use current supported commands. Do not build a general migration framework, launch extra agents, or require a shutdown/database migration without a concrete need.

Execute

  1. Confirm the map. Record old/new names, exact real paths, Git remotes, repository identities/visibility, and affected machines. Inspect existing destinations, local changes, aliases, worktrees, services, and tool references. Resolve only missing scope; do not restart an already-approved naming discussion.
  2. Prepare once. Choose the supported update route before moving anything. Save private inventories and suitable backups. Pause affected writers and file copies; release processes that hold the old root. Stage required service/configuration edits and check their originals have not changed. If BB is affected, read BB path migration.
  3. Move and update together. Rename the real directory in place on the same filesystem. Never overwrite an independent destination or replace the existing private checkout with a fresh clone. Update remotes, tool references, necessary aliases, and service/configuration paths. Repair linked worktrees with git worktree repair; preserve missing registrations rather than pruning them.
  4. Verify affected use. Compare work, refs, stashes, ignored state, and worktree links. Check the actual tool/service workflow at the new path, not just file existence or a running process. Distinguish pre-existing failures from new ones. Once relevant checks pass, finish; broaden testing only for unresolved failures.
  5. Close out. Update current operational notes, resume paused work, and commit/push only within the authorized scope. Report completion, final paths/repository URLs, and any real remaining blocker. Separate completed changes from prepared ones.

Reusing the old name

For an approved split, fix and verify every old remote, alias, and dependent path before creating the new repository or checkout under that name. Check canonical repository identities: an old GitHub URL can redirect to the renamed repository. Verify the new repository's visibility and allowed contents independently; never copy private history into a fresh core repository.

If a check fails

Keep existing data intact and repair the specific broken reference. If rollback is needed, restore folders, configurations, and tool references together, then recheck access. Do not turn the rename into unrelated repair work.

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 Rename Process AI skill do?

Coordinate project or repository renames and moves involving Git, BB, services, or multiple machines. Preserve work and history while updating operational paths. Excludes ordinary file, code-symbol, and thread-title renames.

Why use Rename Process on TypingMind?

Because you install it once and use it with any model. Rename Process 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 Rename Process in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/davidondrej/skills/tree/main/skills/ops-and-setup/rename-process. 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 Rename Process?

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 Rename Process?

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

Is the Rename Process AI skill free?

Yes. It is published on GitHub by davidondrej under the MIT 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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