Initial: pi-skill — 68 skills, 43 extensions, 11 themes for Pi

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+# agent-memory — Local Hybrid Search Memory System
+
+## What It Does
+
+`agent-memory` is a CLI tool that indexes your markdown memory files (`~/.claude/agent-memory/`) into SQLite and provides **hybrid search** (0.7 vector + 0.3 BM25), fully local with zero API calls.
+
+## When to Use
+
+- **Searching past context**: Find relevant memories before starting a task
+- **Before `/restore`**: Search for specific topics across all daily logs and session snapshots
+- **Cross-session recall**: "What did we decide about X?" — search instead of scrolling
+- **Adding structured memories**: Store key decisions/patterns for retrieval
+
+## Quick Reference
+
+```bash
+# Search (main feature)
+agent-memory search "query"                  # Hybrid: 0.7 vector + 0.3 BM25
+agent-memory search "query" --vector         # Vector-only (semantic)
+agent-memory search "query" --keyword        # BM25-only (exact match)
+agent-memory search "query" --limit 10 --json
+
+# Index management
+agent-memory index                           # Reindex all memory files
+agent-memory index --path /custom/path       # Index specific path
+agent-memory status                          # File count, chunk count, last indexed
+
+# CRUD
+agent-memory add "content" --tags "t1,t2" --source daily
+agent-memory list [--source memory|daily|session] [--limit 20]
+agent-memory get <id>
+
+# Intelligence (requires ANTHROPIC_API_KEY)
+agent-memory ask "what do I know about X?"   # Q&A over memories
+agent-memory summarize                       # Consolidate daily logs
+
+# Code Navigation (tree-sitter AST, 165+ languages)
+agent-memory code-index ./src                # Index codebase
+agent-memory code-nav "hybrid search"        # Navigate to relevant code
+agent-memory code-tree                       # Display tree structure
+agent-memory code-summarize                  # Generate node summaries
+agent-memory code-refs 42                    # Show cross-references
+
+# Setup
+agent-memory install                         # Download ~67MB embedding model
+```
+
+## Typical Workflow
+
+1. Run `agent-memory index` to index all memory files
+2. Run `agent-memory search "topic"` to find relevant context
+3. Use `--json` flag for machine-readable output
+4. Use `agent-memory add` to store key decisions
+
+## When NOT to Use
+
+- For reading a specific known file → use `Read` tool directly
+- For writing to MEMORY.md → edit the file directly
+- For session state management → use `/compact` and `/restore`