Compact Guard

CommunityPopular

rohitg00

compact-guard

Smart context compaction with state preservation. Saves critical files, task progress, and working state before compaction, restores after. Use before manual compact or when auto-compact triggers.

Overview

Publisher	rohitg00
Repository	`pro-workflow`
Skill name	`compact-guard`
Stars	2.9K
Forks	286
Bundled files	Instructions only
Links	Skill source Repository Homepage

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 rohitg00 on GitHub. Read the source before you install it.

Installation

Install the Compact Guard 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.
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.

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/rohitg00/pro-workflow.git /tmp/pro-workflow
mkdir -p .claude/skills
cp -r /tmp/pro-workflow/skills/compact-guard .claude/skills/compact-guard

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

Use it in TypingMind

Enable Compact Guard 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 Compact Guard 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 Compact Guard 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.

Compact Guard

Protect important context through compaction cycles. Based on Claude Code internals: compaction restores max 5 files with 5K tokens each, within a 50K total budget.

Trigger

Use before /compact or when auto-compact warning appears.

Key Constants (from Claude Code source)

POST_COMPACT_MAX_FILES_TO_RESTORE = 5 — only 5 files survive
POST_COMPACT_TOKEN_BUDGET = 50K — total restore budget
POST_COMPACT_MAX_TOKENS_PER_FILE = 5K — per-file limit
Auto-compact fires at context_window - 13K buffer

Pre-Compact Checklist

Before compacting, save these to memory or a scratch file:

Current task — What are you working on? One sentence.
Files in progress — Which files are being edited? (max 5 — compaction only restores 5)
Decisions made — Any architectural choices made this session
Blockers — What's preventing progress?
Next steps — What to do immediately after compact

Strategy: Microcompact First

Before full compaction, try microcompact:

Large tool results (test output, grep results) can be trimmed
File reads that are no longer relevant can be dropped
Use subagents for heavy exploration to keep main context clean

Post-Compact Recovery

After compaction, immediately:

Re-read the top-priority file (the one you're actively editing)
Check task list for current progress
Review any scratch notes saved pre-compact
Resume from next steps

Prevention Strategies

Strategy	Token Savings	When
Delegate grep/search to subagent	30-60% per search	Always for broad searches
Read only needed lines (`offset`/`limit`)	50-90% per read	Large files
Compact at task boundaries	Preserves coherence	Between logical steps
Use `/resume` for fresh start	100%	Unrelated new task

Output

After running compact-guard:

text
COMPACT GUARD
  Files to preserve: [list top 5]
  Task state: [one sentence]
  Decisions: [key choices]
  Next step: [immediate action after compact]

  Ready to compact. Run /compact now.

Rules

Always save state before compacting — never compact blind
Prioritize the file you're actively editing as #1 to restore
If auto-compact fires unexpectedly, immediately re-read your working file
Keep CLAUDE.md under 60 lines to leave room for actual context

Frequently asked questions

What does the Compact Guard AI skill do?

Smart context compaction with state preservation. Saves critical files, task progress, and working state before compaction, restores after. Use before manual compact or when auto-compact triggers.

Why use Compact Guard on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rohitg00/pro-workflow/tree/main/skills/compact-guard. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Compact Guard?

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 Compact Guard?

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

Is the Compact Guard AI skill free?

It is published on GitHub by rohitg00. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Compact Guard

Trigger

Key Constants (from Claude Code source)

Pre-Compact Checklist

Strategy: Microcompact First

Post-Compact Recovery

Prevention Strategies

Output

Rules

Frequently asked questions

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