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memory-optimize AI Agent Skill
View Source: kochetkov-ma/claude-brewcode
CriticalInstallation
npx skills add kochetkov-ma/claude-brewcode --skill memory-optimize 1.2K
Installs
Plugin: kochetkov-ma/claude-brewcode
Memory Optimizer
Optimizes Claude Code auto-memory files in 4 interactive steps: removes duplicates, migrates rules to proper config files, compresses remaining entries, validates the result.
Typical reduction: 30–50% token count in memory files.
Auto-memory stores context across sessions in ~/.claude/projects/**/memory/MEMORY.md.
Enable: CLAUDE_CODE_DISABLE_AUTO_MEMORY=0 · Disable: CLAUDE_CODE_DISABLE_AUTO_MEMORY=1
Benefits: faster context loading · no duplicate rules · cleaner instructions · lower API cost
Usage:
/memory-optimize # no args — starts 4-step interactive workflowSkill text is written for LLM consumption and optimized for token efficiency.
Memory Optimizer
Optimizes Claude Code memory files through 4 interactive steps.
No
context: fork— must run in main conversation to spawn agents.
Phase 0: Load Context
- Glob all memory files:
~/.claude/projects/**/memory/*.md - Read
~/.claude/CLAUDE.mdand projectCLAUDE.md(if exists) - Glob
.claude/rules/*.md— read all project rules - Read
~/.claude/rules/*.md— read all global rules
Build context map:
memory_files: [paths]
claude_md_sections: [sections]
rules_files: [paths with content]Step 1: Analysis — Remove Duplicates (Interactive)
Goal: Find memory entries that duplicate content already in CLAUDE.md or rules.
- Spawn
Exploreagent to cross-reference all loaded files - Identify entries where:
- Same rule already in CLAUDE.md
- Same pattern already in a rules file
- Contradicts CLAUDE.md (CLAUDE.md wins)
- Show analysis:
Found X duplicate/redundant entries (Y% of memory): | Entry | Memory File | Already In | Action | |-------|-------------|------------|--------| | "Use grepai first" | MEMORY.md:5 | rules/grepai-first.md | DELETE | ... AskUserQuestion: "Delete X duplicate entries (Y% of memory)? This is safe — content exists elsewhere."- Options: "Yes, delete all" / "Review each" / "Skip this step"
- Apply deletion using
Edittool if approved
Step 2: Migration — Move to Rules/CLAUDE.md (Interactive)
Goal: Identify remaining memory entries better suited to persistent config files.
Decision tree (per entry):
- Applies to ALL projects + IS a rule/constraint →
~/.claude/rules/ - Applies to THIS project only + IS a rule →
.claude/rules/ - IS an architectural decision → project
CLAUDE.md - IS a fact/pattern reusable across sessions → KEEP in memory
- Show categorization:
X entries suitable for migration: | Entry | Current Location | Target | Reduction | |-------|-----------------|--------|-----------| | "Always use BD_PLUGIN_ROOT" | MEMORY.md:12 | .claude/rules/brewdoc.md | 15 tokens | ... Total: X entries → ~Y tokens saved AskUserQuestion: "Migrate X entries to rules/CLAUDE.md?"- Options: "Yes, migrate all" / "Review each" / "Skip this step"
- If approved:
- Create/append to target rule files via
Edit - Remove migrated entries from memory via
Edit - If target file doesn't exist, create it
- Create/append to target rule files via
Step 3: Compression (Interactive)
Goal: Compress remaining entries using LLM-efficient formatting.
Compression techniques:
- Prose → table row
- Multiple related entries → single table
- Verbose description → imperative one-liner
- List of examples → pattern + one example
- Show compression preview:Show 2-3 specific before/after samples.
Compression opportunities found: | Before | After | Savings | |--------|-------|---------| | "When you need to... always use..." | "Use X for Y" | 8 tokens | ... Total: ~Y% token reduction (~Z tokens) AskUserQuestion: "Compress remaining memory? (~Y% reduction)"- Options: "Yes, compress all" / "Skip compression"
- Apply compression via
Edit(bottom-up order to preserve line numbers)
Step 4: Validation (Automatic)
Goal: Verify final state and clean orphaned references.
- Spawn
revieweragent to verify:- No broken file path references in memory files
- No contradictions between memory and CLAUDE.md
- Memory files are well-formed markdown
- Clean broken references (Edit tool)
- Check for orphaned memory files (files in
~/.claude/projects/**/memory/with no MEMORY.md reference) - Report orphaned files and ask to delete
Final Report:
## Memory Optimization Complete
### Summary
| Metric | Before | After | Saved |
|--------|--------|-------|-------|
| Total entries | X | Y | Z |
| Duplicate entries | X | 0 | — |
| Migrated entries | — | — | X |
| Token estimate | ~X | ~Y | ~Z (~P%) |
### Changes Made
- Step 1: Deleted X duplicate entries
- Step 2: Migrated X entries to rules/CLAUDE.md
- Step 3: Compressed X entries (Y% reduction)
- Step 4: Fixed X broken references, removed X orphaned files
### Final Memory Structure
{directory listing of ~/.claude/projects/.../memory/}
---
**Part of brewdoc:** [brewcode](https://github.com/kochetkov-ma/claude-brewcode) — docs tools: memory optimization, auto-sync, Claude installation docs, Markdown to PDF.
Install: `claude plugin marketplace add https://github.com/kochetkov-ma/claude-brewcode && claude plugin install brewdoc@claude-brewcode`Installs
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How to use this skill
Install memory-optimize by running npx skills add kochetkov-ma/claude-brewcode --skill memory-optimize in your project directory. Run the install command above in your project directory. The skill file will be downloaded from GitHub and placed in your project.
No configuration needed. Your AI agent (Claude Code, Cursor, Windsurf, etc.) automatically detects installed skills and uses them as context when generating code.
The skill enhances your agent's understanding of memory-optimize, helping it follow established patterns, avoid common mistakes, and produce production-ready output.
What you get
Skills are plain-text instruction files — not executable code. They encode expert knowledge about frameworks, languages, or tools that your AI agent reads to improve its output. This means zero runtime overhead, no dependency conflicts, and full transparency: you can read and review every instruction before installing.
Compatibility
This skill works with any AI coding agent that supports the skills.sh format, including Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider, and other tools that read project-level context files. Skills are framework-agnostic at the transport level — the content inside determines which language or framework it applies to.
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