strategic-compact

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

16 stars

Best use case

strategic-compact is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

Teams using strategic-compact should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/strategic-compact/SKILL.md --create-dirs "https://raw.githubusercontent.com/Jamkris/everything-gemini-code/main/skills/strategic-compact/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/strategic-compact/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How strategic-compact Compares

Feature / Agentstrategic-compactStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Strategic Compact Skill

Suggests manual `/compact` at strategic points in your workflow rather than relying on arbitrary auto-compaction.

## Why Strategic Compaction?

Auto-compaction triggers at arbitrary points:
- Often mid-task, losing important context
- No awareness of logical task boundaries
- Can interrupt complex multi-step operations

Strategic compaction at logical boundaries:
- **After exploration, before execution** - Compact research context, keep implementation plan
- **After completing a milestone** - Fresh start for next phase
- **Before major context shifts** - Clear exploration context before different task

## How It Works

The `suggest-compact.js` script runs on PreToolUse (Edit/Write) and:

1. **Tracks tool calls** - Counts tool invocations in session
2. **Threshold detection** - Suggests at configurable threshold (default: 50 calls)
3. **Periodic reminders** - Reminds every 25 calls after threshold

## Hook Setup

Add to your `~/.gemini/settings.json`:

```json
{
  "hooks": {
    "PreToolUse": [{
      "matcher": "tool == \"Edit\" || tool == \"Write\"",
      "hooks": [{
        "type": "command",
        "command": "node ~/.gemini/scripts/hooks/suggest-compact.js"
      }]
    }]
  }
}
```

## Configuration

Environment variables:
- `COMPACT_THRESHOLD` - Tool calls before first suggestion (default: 50)

## Best Practices

1. **Compact after planning** - Once plan is finalized, compact to start fresh
2. **Compact after debugging** - Clear error-resolution context before continuing
3. **Don't compact mid-implementation** - Preserve context for related changes
4. **Read the suggestion** - The hook tells you *when*, you decide *if*

## Related

- [The Longform Guide](https://x.com/Jamkris/status/2014040193557471352) - Token optimization section
- Memory persistence hooks - For state that survives compaction

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