367 boosters for "agents" — open source, verified from GitHub, ready to install
"name": "tensorlake", "description": "Tensorlake SDK for agent sandboxes and sandbox-native orchestration. Use when building AI agents that need sandboxed execution environments, isolated tool calls, or durable workflow orchestration.", "author": "TensorLake",
"name": "codeguard-security", "description": "Security code review skill based on Project CodeGuard's comprehensive security rules. Helps AI coding agents write secure code and prevent common vulnerabilities.", "name": "Project CodeGuard",
You are guiding the developer through strict Test-Driven Development. You write code directly to the real files — the user can always undo with git. Pause only when the user's input is needed, not at every step. 1. Determine the input type: 2. Detect the language and test framework from the project.
<summary >🌐 Language</summary> <div align="center"> <a href="https://openaitx.github.io/view.html?user=wshobson&project=agents&lang=en">English</a>
You are managing the Feishu/Lark bridge daemon. User data is stored at . The skill directory is .
Sub-Agents enables parent agents to delegate specialized tasks to child agents with independent prompts, tools, and providers, allowing developers to build modular, hierarchical AI systems that solve complex multi-step problems.
Memelord is a persistent memory system for AI coding agents that uses vector search and reinforcement learning to help agents learn from past interactions. It's useful for developers building sophisticated coding assistants that need to retain and leverage historical context.
A local SQLite-based command-line task board for AI agents and developers to manage multi-step coding tasks, track progress, and coordinate work across sessions without external dependencies. Ideal for breaking down complex implementations into trackable subtasks with comments and checklists.
uni-cli is a unified command-line interface that enables AI agents to seamlessly interact with 25+ services (messaging, productivity, research, utilities) through a consistent pattern. Developers and AI builders benefit from simplified multi-service integration without learning individual APIs.
Automates GitHub issue triage and fixing by fetching issues, spawning AI sub-agents to implement solutions, opening PRs, and handling review feedback—ideal for maintainers and teams managing high-volume bug backlogs.
Heuristic scoring (no AI key configured).
"name": "prism-mcp-server", "mcpName": "io.github.dcostenco/prism-mcp", "description": "The Mind Palace for AI Agents — persistent memory (SQLite/Supabase), behavioral learning & IDE rules sync, multimodal VLM image captioning, pluggable LLM providers (OpenAI/Anthropic/Gemini/Ollama), OpenTelemetry
A concurrent sub-agent executor that transparently parallelizes independent tool calls in agentic workflows, enabling faster multi-step operations without explicit LLM coordination. Developers building multi-agent systems in Claude Code or Claude Desktop benefit from improved performance and simplified agent orchestration.
"name": "@ticktockbent/charlotte", "description": "Token-efficient browser MCP server — structured web pages for AI agents, not raw accessibility dumps", "main": "dist/index.js",
"name": "@paretools/bazel", "version": "0.16.1", "mcpName": "io.github.Dave-London/pare-bazel",
"name": "@paretools/jvm", "version": "0.16.1", "mcpName": "io.github.Dave-London/pare-jvm",
PSI is a structured Plan-Spec-Implement workflow that guides developers through documentation-first development with test-driven implementation. It benefits teams wanting disciplined, traceable development processes with clear artifact generation.
MCP Server that enables AI agents to analyze and auto-optimize Linux kernel schedulers using eBPF, helping systems engineers improve performance through intelligent workload profiling and optimization strategies.
Process MCP Server enables AI agents to execute system commands with structured output, timeouts, and signal handling across Cursor, Claude, and Copilot. Developers building AI-powered tools and automations benefit from token-efficient command execution with safety controls.
"name": "sciagent-skills", "description": "Life sciences computational skills for scientific AI agents — 60+ skills covering genomics, proteomics, drug discovery, biostatistics, scientific computing, and scientific writing", "name": "jaechang-hits"
Swift MCP Server provides structured access to Swift build, test, and package manager data for AI agents, enabling seamless integration with Claude, Cursor, and Copilot for iOS/macOS development workflows.
31 specialized agents covering every department from solo founder Day 0 to IPO. 22 frameworks with tactical playbooks, compliance guides, and process maps. Before loading any agent files, consult . It contains:
"name": "claude-code-cat", "owner": { "name": "cowwoc" }, "source": "./plugin",
Claude Agent SDK for Elixir enables developers to build AI agents with subagents—specialized agent instances that isolate context, run tasks in parallel, and apply focused instructions. Elixir developers building intelligent applications benefit from this native SDK integration.
