wukangcheng2944/claude-skills/agent-memory

Agent Memory

A persistent memory space for storing knowledge that survives across conversations.

Location: .claude/skills/agent-memory/memories/

Agent-First Memory Rule

Memories are resumable handoff artifacts for the next agent. A good memory must reduce the next search space immediately.

When saving or updating a memory, make these explicit whenever known:

• suspected_scope: the smallest repo, path, subsystem, workflow, or environment that matters
• strongest_evidence: the concrete log, diff, measurement, command result, or observation that justifies the memory
• current_state: what is done, blocked, or still uncertain
• next_best_action: the single highest-value next step
• next_target: the exact file, command, service, table, prompt, or document to inspect next

When replying in chat after a memory operation, prefer a compact handoff: memory path created or updated, why it matters, and the next pickup target.

Proactive Usage

Save memories when you discover something worth preserving:

• Research findings that took effort to uncover
• Non-obvious patterns or gotchas in the codebase
• Solutions to tricky problems
• Architectural decisions and their rationale
• In-progress work that may be resumed later

Check memories when starting related work:

• Before investigating a problem area
• When working on a feature you've touched before
• When resuming work after a conversation break

Organize memories when needed:

• Consolidate scattered memories on the same topic
• Remove outdated or superseded information
• Update status field when work completes, gets blocked, or is abandoned

Folder Structure

When possible, organize memories into category folders. No predefined structure - create categories that make sense for the content.

Guidelines:

• Use kebab-case for folder and file names
• Consolidate or reorganize as the knowledge base evolves

Example:

memories/
├── file-processing/
│   └── large-file-memory-issue.md
├── dependencies/
│   └── iconv-esm-problem.md
└── project-context/
    └── december-2025-work.md

This is just an example. Structure freely based on actual content.

Frontmatter

All memories must include frontmatter with a summary field. The summary should be concise enough to determine whether to read the full content.

Summary is the decision point: Agents scan summaries via rg "^summary:" to decide which memories to read in full. Write summaries that contain enough context to make this decision - what the memory is about, the key problem or topic, and why it matters.

Required:

---
summary: "1-2 line description of what this memory contains"
created: 2025-01-15  # YYYY-MM-DD format
---

Optional:

---
summary: "Worker thread memory leak during large file processing - cause and solution"
created: 2025-01-15
updated: 2025-01-20
status: in-progress  # in-progress | resolved | blocked | abandoned
tags: [performance, worker, memory-leak]
related: [src/core/file/fileProcessor.ts]
---

Search Workflow

Use summary-first approach to efficiently find relevant memories:

# 1. List categories
ls .claude/skills/agent-memory/memories/
 
# 2. View all summaries
rg "^summary:" .claude/skills/agent-memory/memories/ --no-ignore --hidden
 
# 3. Search summaries for keyword
rg "^summary:.*keyword" .claude/skills/agent-memory/memories/ --no-ignore --hidden -i
 
# 4. Search by tag
rg "^tags:.*keyword" .claude/skills/agent-memory/memories/ --no-ignore --hidden -i
 
# 5. Full-text search (when summary search isn't enough)
rg "keyword" .claude/skills/agent-memory/memories/ --no-ignore --hidden -i
 
# 6. Read specific memory file if relevant

Note: Memory files are gitignored, so use --no-ignore and --hidden flags with ripgrep.

Operations

Save

1. Determine appropriate category for the content
2. Check if existing category fits, or create new one
3. Write file with required frontmatter (use date +%Y-%m-%d for current date)

mkdir -p .claude/skills/agent-memory/memories/category-name/
# Note: Check if file exists before writing to avoid accidental overwrites
cat > .claude/skills/agent-memory/memories/category-name/filename.md << 'EOF'
---
summary: "Brief description of this memory"
created: 2025-01-15
---
 
# Title
 
Content here...
EOF

Maintain

• Update: When information changes, update the content and add updated field to frontmatter
• Delete: Remove memories that are no longer relevant

``bash trash .claude/skills/agent-memory/memories/category-name/filename.md # Remove empty category folders rmdir .claude/skills/agent-memory/memories/category-name/ 2>/dev/null || true ``

• Consolidate: Merge related memories when they grow
• Reorganize: Move memories to better-fitting categories as the knowledge base evolves

Guidelines

1. Write for resumption: Memories exist to resume work later. Capture all key points needed to continue without losing context - decisions made, reasons why, current state, and next steps.
2. Write self-contained notes: Include full context so the reader needs no prior knowledge to understand and act on the content
3. Keep summaries decisive: Reading the summary should tell you if you need the details
4. Stay current: Update or delete outdated information
5. Be practical: Save what's actually useful, not everything

Content Reference

When writing detailed memories, consider including:

• Context: Goal, background, constraints
• State: What's done, in progress, or blocked
• Details: Key files, commands, code snippets
• Evidence: Logs, measurements, stack traces, screenshots, or comparisons that justify the current conclusion
• Handoff: Exact next target and next best action for the next agent
• Next steps: What to do next, open questions

Not all memories need all sections - use what's relevant.