Maintenance

CommunityPopular

Chachamaru127

maintenance

File cleanup and archiving. Tidies up bloated Plans.md, session-log.md, old logs, and state files. Trigger: /maintenance, cleanup, archive, organize, split session-log. Do NOT load for: implementation, review, release, new feature development.

Overview

Publisher	Chachamaru127
Repository	`claude-code-harness`
Skill name	`maintenance`
Stars	3.2K
Forks	302
Bundled files	1
License	MIT
Links	Skill source Repository

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 Chachamaru127 on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Chachamaru127/claude-code-harness/tree/main/codex/.codex/skills/maintenance
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/Chachamaru127/claude-code-harness/tree/main/codex/.codex/skills/maintenance

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/Chachamaru127/claude-code-harness.git /tmp/claude-code-harness
mkdir -p .claude/skills
cp -r /tmp/claude-code-harness/codex/.codex/skills/maintenance .claude/skills/maintenance

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Maintenance 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 Maintenance 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 Maintenance 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.

Maintenance

散らかったファイルを整頓する単一目的スキル。auto-cleanup-hook が警告を出した時、または定期的な家事として呼び出す。

前提: 破壊的操作（アーカイブ移動・行削除）の前に Plans.md / session-log.md の重要情報が SSOT (decisions.md / patterns.md) に昇格済みか確認する。未同期なら /memory sync を先に走らせる。

Quick Reference

サブコマンド	対象	典型トリガー
`maintenance plans`	Plans.md 完了タスクのアーカイブ移動	「Plans.md 整理」「古いタスクを移動」
`maintenance session-log`	session-log.md の月別分割	「session-log 分割」「ログが長い」
`maintenance logs`	`.claude/logs/` の古いファイル削除	「ログ掃除」「30日以上前のログ消して」
`maintenance state`	`agent-trace.jsonl` / `harness-usage.json` のトリム	「trace 肥大」「state 圧縮」
`maintenance all`	上記4つを順に実行	「全部整理」「総掃除」

--dry-run を付けると何をするかだけ列挙して実行しない。自由記述の指示（例: 「古いアーカイブも消して」「この session-log だけ残して」）は Step 1 で受け付けて Step 2 以降の処理パラメータに反映する。

実行手順

ユーザー指示のパース: サブコマンド + 自由記述（除外対象、保存先、日数閾値）を抽出
SSOT 同期チェック: .claude/state/.ssot-synced-this-session が無ければ /memory sync を促す（Plans.md を触る場合のみ必須）
参照ファイルを開く: ${CLAUDE_SKILL_DIR}/references/cleanup.md を読み対応セクションを実行
Before/After を報告: 行数と削除件数を表示して完了

サブコマンド詳細

対象ごとの実行手順・閾値・アーカイブ先は cleanup.md を参照。

auto-cleanup-hook との連携

PostToolUse hook (scripts/auto-cleanup-hook.sh / Go 版 auto_cleanup_hook.go) は Plans.md・session-log.md・CLAUDE.md の行数超過を検知すると /maintenance で古いタスクをアーカイブすることを推奨します と feedback を返す。警告を見たら対象と件数を読み取り、整理案を出す。警告そのものをアーカイブ移動や削除の承認として扱わない。明示された maintenance の対象と除外条件がある場合は、その範囲で既存の SSOT 同期と破壊的操作のゲートに従う。

注意事項

進行中タスクは動かさない: cc:WIP, pm:依頼中, cursor:依頼中 はアーカイブ対象外
アーカイブ先ディレクトリは固定: .claude/memory/archive/ — 別の場所に移すときはユーザーに確認する
バックアップ: 200 行超のファイルを編集する前に cp <file> <file>.bak.$(date +%s) でローカルバックアップを取る
CLAUDE.md は警告のみ: 自動編集しない。分割提案だけ出す

Bundled files

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

references/cleanup.md9 KB

Frequently asked questions

What does the Maintenance AI skill do?

Why use Maintenance on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Chachamaru127/claude-code-harness/tree/main/codex/.codex/skills/maintenance. 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 Maintenance?

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 Maintenance?

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

Is the Maintenance AI skill free?

Yes. It is published on GitHub by Chachamaru127 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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Maintenance

Overview