📦 deps(thirdparty): update snapshots

This commit is contained in:
ci[bot]
2026-06-21 09:15:23 +00:00
parent 0e1bb1aef3
commit 3d137606c0
805 changed files with 93512 additions and 4532 deletions
@@ -1,7 +1,7 @@
{
"name": "agyb-aas-agent-mcp-builder",
"version": "12.9.0",
"description": "Install the \"AAS Agent & MCP Builder\" editorial skill bundle from Antigravity Awesome Skills.",
"version": "13.0.0",
"description": "Install the \"AAS Agent & MCP Builder\" workflow plugin from Antigravity Awesome Skills.",
"author": {
"name": "sickn33 and contributors",
"url": "https://github.com/sickn33/antigravity-awesome-skills"
@@ -19,8 +19,8 @@
"skills": "./skills/",
"interface": {
"displayName": "AAS Agent & MCP Builder",
"shortDescription": "Specialized Product Plugins · 9 curated skills",
"longDescription": "Developers building agentic apps, MCP tools, RAG systems, and evaluation loops. Covers AI Agents Architect, Agent Evaluation, and 7 more skills.",
"shortDescription": "Build agentic apps, MCP tools, RAG systems, eval loops, tracing, prompts, and context-aware workflows.",
"longDescription": "Build agentic apps, MCP tools, RAG systems, eval loops, tracing, prompts, and context-aware workflows. Maps directly to plugin-based agent workflows because it can grow from skills into MCP server configuration and app/tool integrations. Recommended for: Agent engineers, MCP tool builders, LLM app teams. Not for: Marketing-only content work, Manual office document tasks. Covers AI Agents Architect, Agent Evaluation, and 8 more skills.",
"developerName": "sickn33 and contributors",
"category": "Specialized Product Plugins",
"capabilities": [
@@ -28,6 +28,11 @@
"Write"
],
"websiteURL": "https://github.com/sickn33/antigravity-awesome-skills",
"brandColor": "#111827"
"brandColor": "#111827",
"defaultPrompt": [
"Use this plugin to design an MCP server for this workflow, including tools, schemas, and test cases.",
"Use this plugin to create an eval plan for this agent and define reliability metrics.",
"Use this plugin to review this RAG or LangGraph architecture for tool, memory, prompt, and observability gaps."
]
}
}