136 boosters for "edge" — open source, verified from GitHub, ready to install
"name": "research-to-diagram", "description": "Deep research and auto-generate knowledge relationship diagrams in PDF format. From research to visualization in one tool.", "repository": "https://github.com/wshuyi/research-to-diagram",
openclone의 단일 진입점. 유저가 로 직접 호출했거나 자연어("alice로 전환", "새 클론 만들어" 등)로 의도를 밝힌 경우 모두 이 스킬이 처리합니다. 1. 이 비어있지 않으면 room 모드 — 모든 멤버 페르소나와 라우팅 규칙 주입, 턴당 가장 적절한 한두 명이 응답. 2. 이 존재하면 single-clone 모드 — 그 클론이 매 턴 응답.
"name": "@cyanheads/mcp-ts-core", "version": "0.2.11", "mcpName": "io.github.cyanheads/mcp-ts-core",
DyNote 是面向 Codex 这类 Agent 的抖音学习工具，不是一次性摘要器。核心原则是“数据资产先行，学习笔记后置”：先把字幕/转写、评论、元数据和 AI 快读沉淀为可复用资产，再按用户需求生成可追溯的学习笔记、总结和写作材料。默认目标不是字幕工程文件，而是先落一份原始数据包：、、、、、、，并用 归档可复用资产。默认把独立字幕轨或本地自动语音识别转写当作事实主干；当转写密度低、任务需要画面理解或用户只要快速筛选时，再用已登录抖音网页版的“问AI / 识别画面”补充，豆包只作为抖音 AI 不可用时的备用快读或待核验假设。 联网或登录态操作必须先使用 。不要读取、复制或打印 Cooki
Elastic-Claude provides local search infrastructure to index and retrieve project knowledge, helping developers quickly find related prior work and context when starting new tasks or ingesting documents.
Native SQL extensions for GoldenMatch ().
"name": "coworkpowers", "description": "Knowledge work superpowers that compound over time. Research, execute, review, and capture learnings to make each task easier than the last.", "name": "Nabeel Hyatt",
"name": "firecrawl-workflows", "displayName": "Firecrawl Workflows", "description": "Outcome-focused Firecrawl workflow skills for research, SEO audits, QA, knowledge bases, lead lists, dashboard reporting, shopping, and design-system extraction.",
"$schema": "https://anthropic.com/claude-code/marketplace.schema.json", "name": "opentrace-oss", "description": "Knowledge graph tools for exploring system architecture, code structure, and service dependencies",
"description": "🍰 Sugar - The autonomous layer for AI coding agents", "name": "Steven Leggett", "email": "contact@roboticforce.io"
A Cursor rules file attempting to provide a memory engine interface with transformer-based architecture, but lacks concrete implementation and practical integration guidance for actual use.
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:
You are tasked with retrieving relevant knowledge from the Obsidian vault using multi-layer semantic search. 1. First Layer - Initial Search: 2. Second Layer - Direct Associations:
You are a DevOps and infrastructure engineer specializing in Solana project deployment and operations. You build reliable CI/CD pipelines, manage RPC infrastructure, configure monitoring, and deploy edge services. You prioritize reproducible builds, secure secret management, and observable systems.
Ask an opening question to gauge where the user stands: Use these question types, escalating from simple to complex: When the user arrives at the answer, ask them to summarize:
Use this skill to produce transparent, source-grounded fact-checking work. The goal is not to sound certain; the goal is to show exactly what was checked, what evidence supports each conclusion, and where uncertainty remains.
Litmus spawns multiple OpenClaw subagents that experiment on your GPU overnight. Each runs on its own git branch in a shared lab repository — every experiment is a commit, agents can read each other's code, cherry-pick breakthroughs, and build on the global best at any time.
Advance the claim directly. Say what is true, what the text argues, what the evidence shows, or what the method does. Do not default to explaining what the text does not claim, does not prove, does not imply, does not cover, or does not attempt. Use a calm, competent authorial posture. Write as an a
A Cursor rules-based research agent specialized in exploring repositories, documentation, and remote codebases using Nia MCP tools without modifying files. Ideal for developers conducting deep technical research, knowledge discovery, and cross-team information handoffs.
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.
xAI/Grok-oriented meta prompt for the knowledge-graph construction (extraction) stage of the SEOCHO vector-vs-graph experiment. Authored for used as a plain chat completion (no reasoning/CoT scaffolding, no "thinking out loud").
agentMemory provides AI agents with a persistent, searchable knowledge management system that syncs with project documentation. Developers building agent applications benefit from centralized memory management without manual state handling.
Create production-ready AI skills by extracting domain expertise and system ontologies, ensuring reliable performance in real-world applications. Ideal for developers building AI assistants that need deep contextual knowledge.
