firefrost-gaming/antigravity-skills-reference

Files

sck_0 aa71e76eb9 chore: release 6.5.0 - Community & Experience

- Add date_added to all 950+ skills for complete tracking
- Update version to 6.5.0 in package.json and README
- Regenerate all indexes and catalog
- Sync all generated files

Features from merged PR #150:
- Stars/Upvotes system for community-driven discovery
- Auto-update mechanism via START_APP.bat
- Interactive Prompt Builder
- Date tracking badges
- Smart auto-categorization

All skills validated and indexed.

Made-with: Cursor

2026-02-27 09:19:41 +01:00

2.2 KiB

Raw Blame History

name, description, risk, source, date_added

name	description	risk	source	date_added
agent-memory-mcp	A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).	unknown	community	2026-02-27

Agent Memory Skill

This skill provides a persistent, searchable memory bank that automatically syncs with project documentation. It runs as an MCP server to allow reading/writing/searching of long-term memories.

Prerequisites

Node.js (v18+)

Setup

Clone the Repository: Clone the agentMemory project into your agent's workspace or a parallel directory:
```
git clone https://github.com/webzler/agentMemory.git .agent/skills/agent-memory
```

Install Dependencies:

cd .agent/skills/agent-memory
npm install
npm run compile

Start the MCP Server: Use the helper script to activate the memory bank for your current project:
```
npm run start-server <project_id> <absolute_path_to_target_workspace>
```
Example for current directory:
```
npm run start-server my-project $(pwd)
```

Capabilities (MCP Tools)

`memory_search`

Search for memories by query, type, or tags.

Args: query (string), type? (string), tags? (string[])
Usage: "Find all authentication patterns" -> memory_search({ query: "authentication", type: "pattern" })

`memory_write`

Record new knowledge or decisions.

Args: key (string), type (string), content (string), tags? (string[])
Usage: "Save this architecture decision" -> memory_write({ key: "auth-v1", type: "decision", content: "..." })

`memory_read`

Retrieve specific memory content by key.

Args: key (string)
Usage: "Get the auth design" -> memory_read({ key: "auth-v1" })

`memory_stats`

View analytics on memory usage.

Usage: "Show memory statistics" -> memory_stats({})

Dashboard

This skill includes a standalone dashboard to visualize memory usage.

npm run start-dashboard <absolute_path_to_target_workspace>

Access at: http://localhost:3333

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

2.2 KiB Raw Blame History