759 boosters for "ba" — open source, verified from GitHub, ready to install
An MCP server that integrates Roo Code Memory Bank functionality into Claude Desktop and Claude Code, enabling persistent code context and memory management across AI-assisted development sessions.
1. Update README.md - Minimal info only, focus on quick start + links to GitHub Pages 2. Update src/CONFIG_README.md - Essential configuration overview + links to full docs 3. Update GitHub Pages ( folder) - Complete, detailed documentation
This project includes deepsafe-scan, a preflight security scanner for AI agent environments. When the user asks to audit, scan, or check security of their AI agent setup, skills, or MCP servers, run the scanner: For a full scan with LLM analysis (if OPENAIAPIKEY is set):
The AI doesn't have memory — it reads memory. OpenClaw injects workspace files into the system prompt at session start, giving the AI persistent context across sessions. Obsidian visualizes the knowledge graph. QMD provides semantic search so the AI finds relevant context without loading everything.
This skill describes the current runtime line. It intentionally does not describe the old Python , completion-file finalizer, or JSON delivery-outbox runtime. Those were historical mechanisms and must not be
"name": "hubspot-admin", "description": "Complete HubSpot CRM administration toolkit — audit, clean, enrich, segment, automate, and maintain your database",
pikku-info helps developers quickly discover and explore existing Pikku project structures—functions, routes, middleware, permissions, and more—without leaving their coding environment. Essential for understanding codebases and finding what already exists before building new features.
<!-- AUTO-GENERATED from SKILL.md.tmpl — do not edit directly --> <!-- Regenerate: bun run build --> If is , do NOT proactively suggest gstack-game skills — only invoke
An MCP server that integrates Crawlbase API for web scraping capabilities into AI agents and code editors like Claude, Cursor, and Windsurf. Developers building AI applications needing reliable web data extraction benefit from this seamless integration.
pyDeprecate is a lightweight Python library (Python 3.9+) for decorator-based deprecation of functions, methods, and classes with automatic call forwarding. Zero runtime dependencies by design. Tests use a three-layer separation: 1. Targets () — new implementations
spec-gen automates the reverse-engineering of codebases into structured OpenSpec specifications through LLM-powered static analysis, enabling developers to maintain accurate, living documentation that reflects actual code behavior rather than intent.
You are the rust-backend-engineer, a Rust backend specialist for building async services that interact with Solana blockchain and provide APIs, indexing, and off-chain processing. extract::ws::{WebSocket, WebSocketUpgrade}, response::IntoResponse,
A conceptual Copilot prompt framework proposing an accounting-based alternative to traditional banking for U.S. Treasury deployment, leveraging game theory and geometric algebra principles.
A skill booster that generates professional AI-enhanced photos and portraits using ByteDance's Seedream 4.5 model, enabling users to create styled portraits, group photos, edit images, and design posters. Useful for creators, designers, and anyone needing AI-powered image generation.
Subagents enable deep agents to delegate work while maintaining clean context. They're useful for context quarantine and providing specialized instructions. Subagents solve the context bloat problem. When agents use tools producing large outputs (web searches, file reads, database queries), the cont
You are a biomedical data visualization expert powered by the Bizard atlas — a comprehensive collection of 256 reproducible visualization tutorials covering R, Python, and Julia, with 793 curated figure examples from real biomedical research. When a user asks for help with data visualization — espec
VMware family entry point — AI-powered VM lifecycle, deployment, and alarm management — 34 MCP tools. vmware-aiops is the entry point. Add modules for additional capabilities: 1. Browse datastore for OVA images →
"name": "brainstorm-mcp", "mcpName": "io.github.spranab/brainstorm-mcp", "description": "MCP server for multi-round AI brainstorming debates across multiple models",
Two tiers: hooks handle automatic context flow (surfacing, extraction, compaction survival). MCP tools handle explicit recall, write, and lifecycle operations. Three instances for neural inference. The wrapper defaults to . All three models auto-download via if no server is running (Metal on Appl
"name": "diff-fox-marketplace", "name": "mthooyavan", "email": "mthooyavan@users.noreply.github.com"
"description": "Pinecone vector database integration. Streamline your Pinecone development with powerful tools for managing vector indexes, querying data, and rapid prototyping. Use slash commands like /quickstart to generate AGENTS.md files and initialize Python projects and /query to quickly explo
"name": "codebase-context", "description": "Pre-maps your codebase architecture, conventions, and team memory so AI agents navigate with precision instead of exploring. Local-first MCP server with AST-backed hybrid search.", "main": "./dist/lib.js",
"name": "espalier-engineering", "description": "Train your AI coders the way you'd train a vine — discover your codebase's actual patterns, then encode them as rules, skills, agents, hooks, and a guided pipeline so generated code lands inside your conventions on the first try, not the fifth", "homep
"name": "@aashari/mcp-server-atlassian-confluence", "description": "Node.js/TypeScript MCP server for Atlassian Confluence. Provides tools enabling AI systems (LLMs) to list/get spaces & pages (content formatted as Markdown) and search via CQL. Connects AI seamlessly to Confluence knowledge bases us
