Universal Skills

Varun Pratap Bhardwaj edited this page May 24, 2026 · 3 revisions

Universal Skills

SuperLocalMemory v2.1.0 includes 7 universal agent-skills that work as slash-commands in Claude Code, Continue.dev, and Cody. These ai-skills provide a consistent interface across different AI assistants while accessing the same local memory database.

Keywords: agent-skills, slash-commands, ai-skills, claude-code, continue-dev, cody

🎯 What Are Skills?

Skills are command-based interfaces for AI assistants that don't support MCP (Model Context Protocol) natively. They provide the same functionality as MCP tools but through a slash-command interface.

Key Benefits

Consistent Interface - Same commands work across multiple IDEs
No MCP Required - Works with any tool that supports commands
Local Execution - Everything runs on your machine
Single Database - Uses the same SQLite database as MCP and CLI

📦 The 7 Universal Skills

All skills use the slm-* prefix for consistency:

Skill	Purpose	Usage
slm-remember	Save content to memory	`/slm-remember "content" --tags work,api`
slm-recall	Search memories	`/slm-recall "authentication"`
slm-list-recent	Display recent memories	`/slm-list-recent 10`
slm-status	System health and stats	`/slm-status`
slm-build-graph	Rebuild knowledge graph	`/slm-build-graph`
slm-switch-profile	Change active profile	`/slm-switch-profile work`
slm-show-patterns	Show learned patterns	`/slm-show-patterns`

🚀 Installation

Automatic Installation

The install-skills.sh script automatically detects and configures skills for supported IDEs:

cd superlocalmemory
./install-skills.sh

Auto-detects:

Claude Code (native skills)
Continue.dev (VS Code)
Cody (VS Code/JetBrains)

What it does:

Detects installed IDEs
Backs up existing configurations
Merges skill definitions
Creates necessary directories
Sets correct permissions

Manual Installation

If you need to manually install skills:

Claude Code:

cp -r skills/* ~/.claude/skills/

Continue.dev:

# Edit .continue/config.yaml and add skills

Cody:

# Edit VS Code settings.json or JetBrains Cody config

📖 Skill Documentation

1. slm-remember

Save content to memory with automatic indexing.

Usage

# Basic
/slm-remember "We use FastAPI for all REST APIs"
# With tags
/slm-remember "JWT tokens expire after 24 hours" --tags security,auth,jwt
# With project
/slm-remember "Database uses PostgreSQL 15" --project myapp --tags database
# With importance (1-10)
/slm-remember "CRITICAL: Production deploy requires approval" --importance 10

Arguments

Argument	Type	Required	Default	Description
`<content>`	string	Yes	-	Text to remember
`--tags`	string	No	None	Comma-separated tags
`--project`	string	No	"default"	Project name
`--importance`	integer	No	5	Priority level (1-10)

What Happens

Content Saved - Stored in SQLite database
Entities Extracted - TF-IDF identifies key terms
Graph Updated - Entities added to knowledge graph
Patterns Learned - Analyzes for coding preferences
ID Returned - Memory ID for future reference

Example Output

✓ Memory added with ID: 42
 Tags: security, auth, jwt
 Project: myapp
 Importance: 7
 Entities extracted: 3 (JWT, tokens, authentication)

2. slm-recall

Search memories using semantic search and full-text search.

Usage

# Basic search
/slm-recall "authentication"
# Search with limit
/slm-recall "database query" --limit 5
# Search by tag
/slm-recall "performance" --tags optimization
# Search by project
/slm-recall "api" --project myapp

Arguments

Argument	Type	Required	Default	Description
`<query>`	string	Yes	-	Search query
`--limit`	integer	No	10	Max results
`--tags`	string	No	None	Filter by tags
`--project`	string	No	Current	Filter by project

Search Methods

Semantic Search - TF-IDF vector similarity
Full-Text Search - SQLite FTS5 for exact matches
Knowledge Graph - Related memories via clustering
Pattern Context - Considers learned preferences

Example Output

Found 3 memories:
[1] ID: 42 (Score: 0.87)
 "Implemented JWT authentication with 24-hour expiry"
 Tags: security, auth, jwt
 Created: 2026年02月01日
 Cluster: "Authentication & Security"
[2] ID: 15 (Score: 0.65)
 "OAuth2 integration for Google login"
 Tags: auth, oauth, security
 Created: 2026年01月28日
 Cluster: "Authentication & Security"
[3] ID: 8 (Score: 0.52)
 "Added CSRF protection middleware"
 Tags: security, middleware
 Created: 2026年01月25日
 Cluster: "Security Patterns"

3. slm-list-recent

Display recent memories with metadata.

Usage

# Show 10 most recent
/slm-list-recent
# Show 20 most recent
/slm-list-recent 20
# Filter by project
/slm-list-recent 10 --project work

Arguments

Argument	Type	Required	Default	Description
`<limit>`	integer	No	10	Number of memories
`--project`	string	No	Current	Filter by project

Example Output

Recent Memories (10):
[1] ID: 47 - 2 hours ago
 "Added Redis caching for API responses"
 Tags: performance, caching, redis
[2] ID: 46 - 5 hours ago
 "Fixed authentication bug in login flow"
 Tags: bugfix, auth
[3] ID: 45 - 1 day ago
 "Implemented rate limiting middleware"
 Tags: security, api

4. slm-status

System health, statistics, and diagnostics.

Usage

# Show all stats
/slm-status
# Brief status
/slm-status --brief

Example Output

╔══════════════════════════════════════════════════════════════╗
║ SuperLocalMemory v2.1.0 - System Status ║
╚══════════════════════════════════════════════════════════════╝
✓ Database: OK
 - Total memories: 47
 - Database size: 2.3 MB
 - Current profile: default
 - Profiles: 3 (default, work, personal)
✓ Knowledge Graph:
 - Clusters: 8
 - Total entities: 156
 - Average cluster size: 5.8 memories
 - Last build: 2 hours ago
✓ Pattern Learning:
 - Learned patterns: 12
 - High-confidence patterns: 5
 - Framework preferences: React (73%), FastAPI (68%)
 - Last update: 30 minutes ago
✓ Storage:
 - Tier 1 (full): 45 memories
 - Tier 2 (compressed): 2 memories
 - Tier 3 (archived): 0 memories
 - Space savings: 5%
System: Healthy

5. slm-build-graph

Rebuild knowledge graph with Leiden clustering.

Usage

# Build/rebuild graph
/slm-build-graph
# Build with custom resolution
/slm-build-graph --resolution 1.5

What It Does

Entity Extraction - TF-IDF identifies important terms
Similarity Calculation - Cosine similarity between memories
Graph Construction - Create edges for similar memories
Clustering - Leiden algorithm finds communities
Auto-Naming - Generate descriptive cluster names

Example Output

Building knowledge graph...
✓ Processed 47 memories
✓ Extracted 156 entities
✓ Created 89 edges (similarity > 0.3)
✓ Detected 8 clusters:
Cluster 1: "Authentication & Security" (12 memories)
 - Top entities: JWT (8), OAuth (5), tokens (7), session (6)
Cluster 2: "Performance Optimization" (8 memories)
 - Top entities: caching (6), Redis (5), performance (8), speed (4)
Cluster 3: "React Components" (11 memories)
 - Top entities: React (11), components (9), hooks (7), state (6)
...
Graph build completed in 2.3 seconds.

6. slm-switch-profile

Change active memory profile for context isolation.

Usage

# Switch to work profile
/slm-switch-profile work
# Switch to personal profile
/slm-switch-profile personal
# Create and switch to new profile
/slm-switch-profile client-acme --create

Arguments

Argument	Type	Required	Default	Description
`<profile>`	string	Yes	-	Profile name
`--create`	flag	No	False	Create if doesn't exist

Profile Benefits

Isolated Contexts - Separate memories per profile
No Context Bleeding - Work/personal/client memories separate
Independent Graphs - Each profile has its own knowledge graph
Separate Patterns - Different learned preferences per profile

Example Output

Switching to profile: work
✓ Profile loaded: work
 - Total memories: 142
 - Knowledge clusters: 15
 - Learned patterns: 8
 - Last used: 3 hours ago
Profile 'work' is now active.

🔧 IDE-Specific Usage

Claude Code

Native skills support - Skills appear in command palette.

# Type / to see all skills
/slm-remember "content"
/slm-recall "query"

Features:

Auto-completion
Inline help
Syntax highlighting

Continue.dev (VS Code)

Slash commands - Skills work as custom commands.

Setup:

./install-skills.sh # Auto-configures Continue

Usage:

# In Continue chat panel
/slm-remember "We use TypeScript for all frontend code"
/slm-recall "typescript configuration"

Features:

Tab completion
Command history
Integration with VS Code tasks

Cody (VS Code/JetBrains)

Custom commands - Skills as Cody commands.

Setup:

./install-skills.sh # Auto-configures Cody

Usage:

# In Cody chat
/slm-remember "Added logging middleware"
/slm-status

Features:

Command suggestions
Context menu integration
JetBrains and VS Code support

🏗️ Skills Architecture

Metadata-First Design

Each skill includes a SKILL.md file with complete metadata:

---
name: slm-remember
description: Save content to SuperLocalMemory
version: "2.1.0"
license: Elastic-2.0
compatibility: "Requires SuperLocalMemory installed"
attribution:
 creator: Varun Pratap Bhardwaj
 role: Solution Architect & Original Creator
 project: SuperLocalMemory
---

Directory Structure

skills/
├── slm-remember/
│ ├── SKILL.md # Metadata and documentation
│ ├── main.py # Skill implementation
│ └── examples/ # Usage examples
├── slm-recall/
│ ├── SKILL.md
│ ├── main.py
│ └── examples/
└── ...

Benefits

Version Tracking - Each skill has semantic versioning
Attribution Preserved - Creator info in every skill
Self-Documenting - Complete docs in SKILL.md
IDE Agnostic - Same structure works everywhere

🔄 Skills vs MCP vs CLI

All three access methods use the same SQLite database:

Feature	Skills	MCP	CLI
Interface	Slash commands	AI tools	Terminal commands
Best For	Claude/Continue/Cody	Modern IDEs	Scripts/Terminals
Requires	IDE with commands	MCP support	Any shell
Setup	`install-skills.sh`	Auto in `install.sh`	Auto in `install.sh`
Database	`~/.claude-memory/memory.db`	Same	Same

Example - Same Operation, Three Ways:

# Skills (Claude Code)
/slm-remember "We use FastAPI"
# MCP (Cursor)
"Remember that we use FastAPI"
# CLI (Terminal)
slm remember "We use FastAPI"

All three save to the same memory, queryable by all methods.

🐛 Troubleshooting

Skills Not Showing Up

Claude Code:

Check ~/.claude/skills/ directory exists
Verify skill directories are present
Restart Claude Code
Type / to see command list

Continue.dev:

Check .continue/config.yaml has skills defined
Reload VS Code window (Cmd+Shift+P → "Reload Window")
Open Continue panel
Type / to see commands

Cody:

Check VS Code settings.json has cody.customCommands
Reload VS Code
Open Cody chat
Type / for commands

"Skill Not Found" Error

Solution: Reinstall skills:

cd superlocalmemory
./install-skills.sh --force

"Permission Denied"

Solution: Fix permissions:

chmod +x ~/.claude-memory/skills/*/main.py

Skills Return No Data

Solution: Check database:

slm status # Should show memory count

If empty, add some memories first:

slm remember "Test memory"

📚 Full Skill Reference

For complete documentation of each skill, see:

skills/slm-remember/SKILL.md
skills/slm-recall/SKILL.md
skills/slm-list-recent/SKILL.md
skills/slm-status/SKILL.md
skills/slm-build-graph/SKILL.md
skills/slm-switch-profile/SKILL.md
skills/slm-show-patterns/SKILL.md

Or visit the GitHub repository.

🔗 Related Pages

MCP-Integration - Learn about MCP-based access
Universal-Architecture - Understand the 7-layer architecture
Installation - Setup guide
CLI-Command-Reference - CLI commands reference
Home - Back to wiki home

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Universal Skills

Universal Skills

🎯 What Are Skills?

Key Benefits

📦 The 7 Universal Skills

🚀 Installation

Automatic Installation

Manual Installation

📖 Skill Documentation

1. slm-remember

Usage

Arguments

What Happens

Example Output

2. slm-recall

Usage

Arguments

Search Methods

Example Output

3. slm-list-recent

Usage

Arguments

Example Output

4. slm-status

Usage

Example Output

5. slm-build-graph

Usage

What It Does

Example Output

6. slm-switch-profile

Usage

Arguments

Profile Benefits

Example Output

🔧 IDE-Specific Usage

Claude Code

Continue.dev (VS Code)

Cody (VS Code/JetBrains)

🏗️ Skills Architecture

Metadata-First Design

Directory Structure

Benefits

🔄 Skills vs MCP vs CLI

🐛 Troubleshooting

Skills Not Showing Up

"Skill Not Found" Error

"Permission Denied"

Skills Return No Data

📚 Full Skill Reference

🔗 Related Pages

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