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affaan-m/strategic-compact

affaan-m

strategic-compact

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

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v1.2Saved Jul 14, 2026

Strategic Compact Skill

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

When to Activate

  • Running long sessions that approach context limits (200K+ tokens)
  • Working on multi-phase tasks (research → plan → implement → test)
  • Switching between unrelated tasks within the same session
  • After completing a major milestone and starting new work
  • When responses slow down or become less coherent (context pressure)

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 combines two signals:

  1. Context size (primary) — Reads the latest usage record from the session transcript (transcript_path in the hook payload) and sums input_tokens + cache_read_input_tokens + cache_creation_input_tokens (the true context size of the turn). Suggests /compact at a window-scaled threshold — 160k tokens on a 200k window, 250k on a 1M window (detected from a [1m] model marker, or inferred when observed tokens already exceed 200k) — and re-reminds after every additional 60k tokens of context growth
  2. Tool-call count (secondary) — Counts tool invocations in session; suggests at a configurable threshold (default: 50 calls), then every 25 calls after

Tool count alone is a weak proxy for window pressure: a few large file reads or MCP responses can fill the window in very few calls, while many tiny calls can cross 50 with a near-empty window. The context-size signal fires when it actually matters.

Hook Setup

Installed as a plugin? No setup is needed. The plugin's hooks/hooks.json already registers suggest-compact.js (hook id pre:edit-write:suggest-compact, active in the standard and strict hook profiles). Do not copy the block below into ~/.claude/settings.json~/.claude/scripts/ does not exist on plugin installs, and duplicating a plugin hook causes double execution.

If installed manually (./install.sh), add to your ~/.claude/settings.json:

{
  "hooks": {
    "PreToolUse": [
      {
        "matcher": "Edit",
        "hooks": [{ "type": "command", "command": "node ~/.claude/scripts/hooks/suggest-compact.js" }]
      },
      {
        "matcher": "Write",
        "hooks": [{ "type": "command", "command": "node ~/.claude/scripts/hooks/suggest-compact.js" }]
      }
    ]
  }
}

Configuration

Environment variables:

  • COMPACT_THRESHOLD — Tool calls before first suggestion (default: 50)
  • COMPACT_CONTEXT_THRESHOLD — Context tokens before the context-size suggestion (default: 160000 on a 200k window, 250000 on a 1M window; 0 disables the context signal)
  • COMPACT_CONTEXT_INTERVAL — Additional context tokens before the suggestion repeats (default: 60000)
  • COMPACT_STATE_TTL_DAYS — Days before stale per-session state files in the temp dir are swept (default: 14)

Compaction Decision Guide

Use this table to decide when to compact:

Phase Transition Compact? Why
Research → Planning Yes Research context is bulky; plan is the distilled output
Planning → Implementation Yes Plan is in TodoWrite or a file; free up context for code
Implementation → Testing Maybe Keep if tests reference recent code; compact if switching focus
Debugging → Next feature Yes Debug traces pollute context for unrelated work
Mid-implementation No Losing variable names, file paths, and partial state is costly
After a failed approach Yes Clear the dead-end reasoning before trying a new approach

What Survives Compaction

Understanding what persists helps you compact with confidence:

Persists Lost
CLAUDE.md instructions Intermediate reasoning and analysis
TodoWrite task list File contents you previously read
Memory files (~/.claude/memory/) Multi-step conversation context
Git state (commits, branches) Tool call history and counts
Files on disk Nuanced user preferences stated verbally

Best Practices

  1. Compact after planning — Once plan is finalized in TodoWrite, 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
  5. Write before compacting — Save important context to files or memory before compacting
  6. Use /compact with a summary — Add a custom message: /compact Focus on implementing auth middleware next

Token Optimization Patterns

Trigger-Table Lazy Loading

Instead of loading full skill content at session start, use a trigger table that maps keywords to skill paths. Skills load only when triggered, reducing baseline context by 50%+:

Trigger Skill Load When
"test", "tdd", "coverage" tdd-workflow User mentions testing
"security", "auth", "xss" security-review Security-related work
"deploy", "ci/cd" deployment-patterns Deployment context

Context Composition Awareness

Monitor what's consuming your context window:

  • CLAUDE.md files — Always loaded, keep lean
  • Loaded skills — Each skill adds 1-5K tokens
  • Conversation history — Grows with each exchange
  • Tool results — File reads, search results add bulk

Duplicate Instruction Detection

Common sources of duplicate context:

  • Same rules in both ~/.claude/rules/ and project .claude/rules/
  • Skills that repeat CLAUDE.md instructions
  • Multiple skills covering overlapping domains

Context Optimization Tools

  • token-optimizer MCP — Automated 95%+ token reduction via content deduplication
  • context-mode — Context virtualization (315KB to 5.4KB demonstrated)
  • The Longform Guide — Token optimization section
  • Memory persistence hooks — For state that survives compaction
  • continuous-learning skill — Extracts patterns before session ends
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Overall Score

78/100

Grade

B

Good

Safety

82

Quality

75

Clarity

82

Completeness

68

Summary

This skill guides agents to manually trigger context compaction (`/compact`) at strategic logical boundaries (research→implementation, debugging→next task) rather than relying on arbitrary auto-compaction. It documents when compaction is beneficial, what context persists, and includes a hook script that monitors context token usage and tool-call counts to suggest compaction at critical points.

Detected Capabilities

read transcript metadata (token usage)execute node.js hook scriptsaccess session state files in temp directoryenvironment variable configurationcommand suggestion (via hook plugin system)

Trigger Keywords

Phrases that MCP clients use to match this skill to user intent.

context window pressuremulti-phase task workflowstrategic compaction timinglong session token managementpreserve working context

Risk Signals

INFO

Hook script execution via PreToolUse (suggested pattern calls 'node ~/.claude/scripts/hooks/suggest-compact.js')

## Hook Setup section, manual installation code block
INFO

Reads transcript_path from hook payload to inspect session token usage

## How It Works section, signal 1 (Context size)
INFO

Accesses temp directory for per-session state files with configurable TTL sweep

## Configuration section, COMPACT_STATE_TTL_DAYS variable
INFO

External URL reference to x.com (Twitter/X) in Related section

## Related section, Longform Guide link

Referenced Domains

External domains referenced in skill content, detected by static analysis.

x.com

Use Cases

  • Preserve working context during multi-phase projects by compacting between logical task boundaries
  • Identify optimal compaction timing using token usage and tool-call heuristics rather than arbitrary thresholds
  • Clear exploration/debugging context before switching to unrelated work within the same session
  • Understand what persists through compaction (CLAUDE.md, TodoWrite, files) to compact with confidence
  • Optimize context window utilization for long sessions approaching token limits

Quality Notes

  • Well-structured guidance with clear phase-transition table and decision framework for when to compact
  • Excellent transparency about what persists vs. what is lost during compaction, building user confidence
  • Practical environment variable configuration allows agents to tune thresholds without modifying script code
  • Dual-signal approach (context tokens + tool count) with clear explanation of why tool count alone is insufficient
  • Missing details on how the hook script actually calculates cache_read_input_tokens and cache_creation_input_tokens from transcript; agents cannot validate if suggestion is correct
  • No error handling documented for cases where transcript_path is missing, malformed, or unreadable
  • Configuration examples are absent — no sample values shown for COMPACT_CONTEXT_THRESHOLD on different model window sizes
  • Related resources link to external URLs (x.com) but lack direct implementation examples or template hooks
Model: claude-haiku-4-5-20251001Analyzed: Jul 14, 2026

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Version History

v1.2

Content updated

2026-07-14

Latest
v1.1

Content updated

2026-04-20

v1.0

Seeded from github.com/affaan-m/everything-claude-code

2026-03-16

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