Instruccions per a IA
Disseny d’instruccions i plantilles per a models d’IA
ralph-script
petestewart
Add a Ralph Wiggum autonomous loop to the current project. Creates ralph-loop.sh and prompt.md files that enable Claude to autonomously work through a PLAN.md task list. Use when the user says "/ralph-script", "add ralph loop", "set up ralph script", "add autonomous loop", or wants to bootstrap the Ralph Wiggum loop files into a project. Supports a --force flag to skip interactive checks.
article-add
petestewart
Add a topic to the article queue for later generation. Use when the user invokes "/article-add <topic>" or says "add to article queue", "queue up an article about", or "save this topic for an article later".
sticker-factory
guanyang
Automated factory workflow: Generates grid-based sticker sheets (defaulting to Office Worker style but adaptable) and auto-packages them for WeChat using wechat-sticker-maker.
create-meta-prompts
glittercowboy
Create optimized prompts for Claude-to-Claude pipelines with research, planning, and execution stages. Use when building prompts that produce outputs for other prompts to consume, or when running multi-stage workflows (research -> plan -> implement).
artifacts-builder
liyecom
复杂前端 Artifacts 构建工具
lnd
Roasbeef
Run and interact with lnd Lightning Network daemon in Docker. Use for Lightning development, testing payment channels on regtest, managing lnd containers, and calling lnd RPC endpoints (getinfo, connect, open/close channels, pay/receive). Supports bitcoind, btcd, and neutrino backends.
software-architecture
liyecom
软件架构设计模式与最佳实践
template-skill
mrgoonie
Replace with description of the skill and when Claude should use it.
prompt-engineering
liyecom
提示工程技术与 Agent 设计模式
skill-creator
liyecom
Claude Skills 创建指南与最佳实践
create-skill
tidyverse
Guide for creating new Claude Code skills. Use when you need to create a new skill to package expertise or workflow into a reusable capability that Claude can automatically invoke.
playwright
liyecom
Web 自动化测试与浏览器控制
mcp-management
mrgoonie
Manage Model Context Protocol (MCP) servers - discover, analyze, and execute tools/prompts/resources from configured MCP servers. Use when working with MCP integrations, need to discover available MCP capabilities, filter MCP tools for specific tasks, execute MCP tools programmatically, access MCP prompts/resources, or implement MCP client functionality. Supports intelligent tool selection, multi-server management, and context-efficient capability discovery.
csv-summarizer
liyecom
CSV 数据自动分析与洞察生成工具
eclair
Roasbeef
Run and interact with eclair Lightning Network daemon in Docker. Use for Lightning development, testing payment channels on regtest, managing eclair containers, and calling eclair API endpoints (getinfo, connect, open/close channels, pay/receive).
session-memory
humanplane
Maintains awareness across sessions. Spawns observer agent on start, loads context, notifies of evolution opportunities.
podcast-workflow
zephyrwang6
播客处理一站式工作流。支持两种入口： (1) 直接处理：提供 YouTube 链接，直接进入处理流程 (2) 更新检查：获取关注博主的最新更新，用户挑选后处理 功能：字幕提取 → content-digest 处理 → 自动保存飞书知识库。 触发词："获取播客更新"、"处理这个播客"、"播客工作流"、"有什么新播客"。
topic-generator
zephyrwang6
AI选题生成工具。从采集的热点中筛选TOP10，生成完整选题方案。当用户说"生成选题"、"筛选热点"、"哪些值得写"时触发。输出包含：事件描述、核心角度、标题、写作方式。
mem-file-scan
zephyrwang6
AI个人记忆系统的文件扫描回顾功能。扫描Obsidian仓库中本周修改的文件（排除AI_MEMORY目录），识别潜在的重要事件和决策。使用场景：(1) 用户说"文件扫描"、"查看本周文件"、"扫描文件变化"时；(2) 周复盘时补充L1记录前；(3) 用户想回顾本周在Obsidian中的活动时。该skill会列出修改的文件，询问用户哪些需要记录到L1，并辅助记录。
Content Rewriting Skill - 内容仿写工作流
zephyrwang6
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total-recall
gavdalf
"The only memory skill that watches on its own. No database. No vectors. No manual saves. Just an LLM observer that compresses your conversations into prioritised notes, consolidates when they grow, and recovers anything missed. Five layers of redundancy, zero maintenance. ~$0.00/month (using free-tier models). While other memory skills ask you to remember to remember, this one just pays attention."
mem-record
zephyrwang6
AI个人记忆系统的记忆记录功能。自动从对话中提炼关键信息并记录到相应层级。使用场景：(1) 用户说"记录到记忆系统"、"记住这个"、"把这次对话记下来"时；(2) 检测到重要事件、决策、偏好表达时；(3) 用户完成重要任务或做出决策时。该skill会自动判断应该记录到L1情境层、L2行为层、L3认知层，还是建议更新L4核心层。
content-topic-generator
zephyrwang6
从文章、推文、社交媒体内容生成多角度选题，包括推文选题（140字完整内容）和公众号选题（含详细大纲）。支持延伸、反驳、扩充、热点结合四种策略。当用户需要基于现有内容创作新选题、分析文章生成衍生内容、或进行内容再创作时使用。适用场景：(1) 分析推文/文章并生成选题，(2) 创建公众号/社交媒体内容策划，(3) 将长文拆解为多个传播点，(4) 内容营销和话题策划。
topic-agent
zephyrwang6
选题系统主控Agent。协调热点采集、选题生成、选题审核三个环节，支持迭代直到产出合格选题。触发方式：(1)"开始今日选题"启动完整流程 (2)"今日AI热点"只采集热点不生成选题 (3)"我有一个选题"进入单个选题分析 (4)"推荐一些好的选题"直接输出推荐。输出保存到Obsidian选题库。