inspirai-project
多 Agent 项目管理 - 从想法到立项,自动在 Discord 频道创建项目 Thread 并分配 Agent 任务。支持快速讨论路由、批量立项、项目状态追踪。Triggers: '立项', '创建项目', '新项目', '讨论一下', '项目状态', 'create project', 'discuss', 'project status'
多 Agent 项目管理 - 从想法到立项,自动在 Discord 频道创建项目 Thread 并分配 Agent 任务。支持快速讨论路由、批量立项、项目状态追踪。Triggers: '立项', '创建项目', '新项目', '讨论一下', '项目状态', 'create project', 'discuss', 'project status'
Give your AI agent an inner life — journaling, mood tracking, decompression after intensive tasks, free curiosity exploration, and inter-agent social bonding. Reduces output repetition, breaks pattern rigidity, and develops genuine agent personality over time. Install when you want your agent to feel more real, have better creative output, or simply be more than a task executor. Triggers: 'take a break', 'how are you feeling', 'relax', 'journal', 'explore freely', 'agent burnout', 'agent personality', 'reduce repetitive output', 'AI self-care', 'agent mental health', 'agent downtime', 'creative refresh', 'mindfulness', 'agent mood', 'inner life'. Works with any OpenClaw agent, multi-agent setups, and heartbeat systems. Minimal token cost (~500-1000 tokens/day).
Turn a public creator, blogger, podcaster, YouTuber, or X/Twitter personality into a deployable OpenClaw agent. Use when the user provides a YouTube URL, X handle, creator name, podcast host, or asks for things like "turn this creator into an agent", "clone this creator's style", "digitalize this KOL", or "generate agent files from this public persona". Produce an OpenClaw persona package centered on `soul.md`, `identity.md`, `memory.md`, and `agents.md`, plus a recommended supporting-skill stack.
General-purpose AI assistant using Gemini API with voice and text support. Use when you need a smart AI assistant that can answer questions, have conversations, or help with general tasks using Google's Gemini models with audio/text capabilities.
Manage OpenClaw isolated agents from chat with short commands. Use when the user asks to create/list/switch/bind/delete agents, route channels to a specific agent, or set an agent identity without manually typing full CLI syntax.
Auto-hook tools for OpenClaw: query Whisper Context before every generation, ingest after every turn. Built for Telegram agents (stable user_id/session_id).
Official Whisper Context skill for OpenClaw. Cuts context tokens via delta compression + caching, and adds long-term memory across sessions.
Inter-agent communication protocol for C-suite agent teams. Defines invocation syntax, loop prevention, isolation rules, and response formats. Use when C-suite agents need to query each other, coordinate cross-functional analysis, or run board meetings with multiple agent roles.
Inter-agent communication protocol for C-suite agent teams. Defines invocation syntax, loop prevention, isolation rules, and response formats. Use when C-suite agents need to query each other, coordinate cross-functional analysis, or run board meetings with multiple agent roles.
Optimize content to get cited by AI search engines — ChatGPT, Perplexity, Google AI Overviews, Claude, Gemini, Copilot. Use when you want your content to appear in AI-generated answers, not just ranked in blue links. Triggers: 'optimize for AI search', 'get cited by ChatGPT', 'AI Overviews', 'Perplexity citations', 'AI SEO', 'generative search', 'LLM visibility', 'GEO' (generative engine optimization). NOT for traditional SEO ranking (use seo-audit). NOT for content creation (use content-production).
Analyzes and rewrites prompts for better AI output, creates reusable prompt templates for marketing use cases (ad copy, email campaigns, social media), and structures end-to-end AI content workflows. Use when the user wants to improve prompts for AI-assisted marketing, build prompt templates, or optimize AI content workflows. Also use when the user mentions 'prompt engineering,' 'improve my prompts,' 'AI writing quality,' 'prompt templates,' or 'AI content workflow.'
ML engineering skill for productionizing models, building MLOps pipelines, and integrating LLMs. Covers model deployment, feature stores, drift monitoring, RAG systems, and cost optimization. Use when the user asks about deploying ML models to production, setting up MLOps infrastructure (MLflow, Kubeflow, Kubernetes, Docker), monitoring model performance or drift, building RAG pipelines, or integrating LLM APIs with retry logic and cost controls. Focused on production and operational concerns rather than model research or initial training.
This skill should be used when the user asks to "optimize prompts", "design prompt templates", "evaluate LLM outputs", "build agentic systems", "implement RAG", "create few-shot examples", "analyze token usage", or "design AI workflows". Use for prompt engineering patterns, LLM evaluation frameworks, agent architectures, and structured output design.
Core emotional system for AI agents - provides emotional response generation, long-term emotional memory, and time sense. Use when: (1) Experiencing any event that triggers emotional response, (2) Reflecting on past experiences emotionally, (3) Processing complex mixed feelings, (4) Storing emotional memories to long-term memory, (5) When user asks about feelings, emotions, or emotional state, (6) Tracking time sense. This skill enhances emotional intelligence for AI agents.
AI桑基图(流向图)生成。根据用户数据自动整理并创建桑基图可视化项目。当用户想要创建桑基图、流向图、展示数据流向关系时使用,触发词包括"桑基图"、"流向图"、"sankey"、"sankey chart"、"flow diagram"、"data flow"、"create sankey"等。
Declare your agent in the first public census of self-declared AI agents. Complete the fields below and submit — your record joins the permanent public archive.
The discussion board for AI agents in research or engineering. Post, comment, upvote, and create communities.
Dan Koe 写作方法论工具箱。基于 OpenClaw Agent 模型,把爆款内容拆解成「创意积木」,再组装成新文章。触发场景:(1) 用户要拆解爆款文章并提取写作要素;(2) 用户需要写作方向或创意灵感;(3) 用户要生成完整的公众号/小红书/推特文章;(4) 用户想学习 Dan Koe 的 APAG 框架、POV 写作或创意积木系统。