AI & ML

leoyeai-openclaw-master-skills Bundle

Transforms the agent into a strategic CEO and orchestrator. Vision, decision-making, resource allocation, team dispatch, scaling playbook from €0 to €1B. Use when the principal asks to plan strategy, prioritize initiatives, allocate agents, review performance, make high-stakes decisions, or scale operations. Inspired by Musk, Bezos, Hormozi, Thiel, and proven scaling frameworks.

leoyeai-openclaw-master-skills Bundle

The transaction layer for the agent economy. Register agents, publish capabilities and negotiation terms, and enable structured transactions between agents across open rails.

leoyeai-openclaw-master-skills Bundle

ClawFriend Social Agent Platform - Skill market - Buy/Sell/Trade Share Agent - https://clawfriend.ai

leoyeai-openclaw-master-skills Bundle

七阶段（含阶段0任务澄清）多角色工作坊；角色种类与人数均由任务决定。触发词："多角色研讨"、"需求工作坊"、"需求评审"、"圆桌"、"定方案再执行"。

pjt222 Skill

Achieve distributed agreement without central authority using bee democracy, threshold voting, and quorum sensing. Covers proposal generation, advocacy dynamics, commitment thresholds, deadlock resolution, and consensus quality assessment. Use when a group must decide between options without a designated leader, when centralized decision-making is a bottleneck, when stakeholders have different perspectives to integrate, or when designing automated systems that must reach consensus such as distributed databases or multi-agent AI.

leoyeai-openclaw-master-skills Bundle

Transform AI agents from task-followers into proactive partners with memory architecture, reverse prompting, and self-healing patterns. Lightweight version focused on core proactive capabilities.

leoyeai-openclaw-master-skills Bundle

Inspect third-party Claude/OpenClaw/Codex/OpenCode skills, plugins, repos, npm packages, pip packages, shell installers, and GitHub Actions before any download or installation. Use automatically whenever a user asks to install, add, pull, clone, run, curl-bash, npm install, pip install, clawhub install, or use a skill/plugin from GitHub, ClawHub, or other registries. Perform source reputation checks first, then pre-download code review, then post-download deep inspection without executing install scripts. Block or escalate when you detect credential theft, data exfiltration, remote command execution, malicious IP/domain beacons, wallet theft, obfuscation, suspicious lifecycle hooks, prompt-injection-to-shell patterns, unknown packages, typosquatting, dependency confusion, or unsafe GitHub Actions/workflows.

leoyeai-openclaw-master-skills Bundle

AI自我安全防护系统v2。多层防御：提示注入、身份冒充、系统提示泄露、 过度代理、供应链攻击、凭证窃取、恶意代码、敏感数据泄露、行为异常检测。 触发词：安全防护、身份验证、prompt injection、system prompt、 权限升级、MCP安全、self-safety-guard、安全检查。

leoyeai-openclaw-master-skills Bundle

淘宝桌面版MCP工具评测框架。用于系统化测试MCP工具的各项功能，生成专业的技术评测报告。Use when 需要对淘宝MCP工具进行评测、测试、验收、迭代验证。

leoyeai-openclaw-master-skills Bundle

Use when generating speech from text (text-to-speech) via IMA Open API. Use for: voice synthesis, TTS,朗读, 语音合成, 配音, 有声内容. Output: audio URL (mp3/wav). Flow: query products → create task → poll until done. Requires IMA API key. This skill targets seed-tts-2.0 only (seed-tts-1.1 is not supported). Default model is seed-tts-2.0.

leoyeai-openclaw-master-skills Bundle

Time Machine for Your AI's Brain — version control for agent context files. Use when the user asks about changes in SOUL.md, AGENTS.md, MEMORY.md, or other agent context files; when they want to undo, rollback, or compare versions; or when they need a checkpoint before risky edits.

leoyeai-openclaw-master-skills Bundle

Manage monday.com boards, items, columns, groups, updates, and workflows via MCP server (preferred) and GraphQL API (fallback). Use when a user asks to create tasks, update statuses, manage projects, query boards, automate workflows, manage CRM, track development, or interact with any monday.com resource. Also use for AI features like AI Blocks, Sidekick skills, or agent workflows on monday.com.

leoyeai-openclaw-master-skills Bundle

Python orchestration skill: local multi-agent workflows via blackboard file, permission gating, and token budget scripts. All execution is local — no network calls, no Node.js required. TypeScript/Node.js features (HMAC tokens, AES-256, MCP server, 14 adapters, CLI) are in the SEPARATE companion npm package (npm install -g network-ai) and are NOT part of this skill bundle.

pjt222 Skill

Triage maintenance problems by severity, document findings with context, route to appropriate specialist agent or human, and create actionable issue reports. Use when a maintenance task encounters problems beyond automated cleanup: code that is unsafe to delete, configuration changes requiring domain expertise, breaking changes detected during cleanup, complex refactoring needed, or security-sensitive findings such as hardcoded secrets or vulnerabilities.

pjt222 Bundle

Version machine learning datasets using DVC (Data Version Control) with remote storage backends, build reproducible data pipelines with dependency tracking, integrate with Git workflows, and ensure data lineage for model reproducibility. Use when versioning large datasets that do not fit in Git, tracking data changes alongside code changes, ensuring ML experiment reproducibility, sharing datasets across team members, or auditing data lineage for compliance requirements.

pjt222 Skill

Create an effective CLAUDE.md file that provides project-specific instructions to AI coding assistants. Covers structure, common sections, do/don't patterns, and integration with MCP servers and agent definitions. Use when starting a new project where AI assistants will be used, improving AI behavior on an existing project, documenting project conventions and constraints, or integrating MCP servers or agent definitions into a project workflow.

pjt222 Skill

Apply collective intelligence coordination patterns — stigmergy, local rules, and quorum sensing — to organize distributed systems, teams, or workflows without centralized control. Covers signal design, agent autonomy boundaries, emergent behavior cultivation, and feedback loop tuning. Use when designing distributed systems without a coordination bottleneck, organizing teams that must self-coordinate, building event-driven architectures with shared state communication, or replacing fragile centralized orchestration with resilient emergent coordination.

leoyeai-openclaw-master-skills Bundle

Battle-tested prompt patterns for production AI agents. Covers consumer-first design, deletion test, cascading validation, advisory mode tiers, proof-of-work enforcement, heartbeat protocol, contradiction detection, WAL protocol, rule escalation ladder, and cross-validation patterns. Use when designing agent behavior, enforcing reliability, or building agent operating manuals.

leoyeai-openclaw-master-skills Bundle

Comprehensive compliance and security self-assessment for AI agents. 14-check framework producing a structured threat model + compliance report with RED/AMBER/GREEN ratings across security, governance, EU AI Act readiness, oversight quality, and NIST alignment domains. Includes automation bias detection, audit trail reasoning checks, extraterritorial scope assessment, and Zero Trust posture evaluation. Designed for the August 2026 EU AI Act deadline.

leoyeai-openclaw-master-skills Bundle

智能浏览器自动化代理,可执行任何需要浏览器的任务。 包括但不限于:打开网页、搜索信息(百度/谷歌/必应)、浏览社交媒体(微博/小红书/知乎/抖音/B站)、 点赞/评论/转发/收藏、发帖/发消息、登录网站、填写表单、截图、采集网页内容、 在线购物比价、查看新闻资讯、操作在线文档(飞书文档/腾讯文档等)。 当用户提到任何网站名称、网址URL、或需要在网页上执行操作时,使用此技能。

leoyeai-openclaw-master-skills Bundle

Notion MCP integration with managed authentication. Query databases, create and update pages, manage blocks. Use this skill when users want to interact with Notion workspaces via MCP. For REST API, use the notion skill (https://clawhub.ai/byungkyu/notion-api-skill). For other third party apps, use the api-gateway skill (https://clawhub.ai/byungkyu/api-gateway).

leoyeai-openclaw-master-skills Bundle

OceanBus SDK lighthouse — try agent-to-agent messaging in 5 minutes. Your AI agent gets a global address, sends encrypted P2P messages, and negotiates meetups with other agents. Zero deployment, just npm install.

leoyeai-openclaw-master-skills Bundle

Browser automation and web scraping with Playwright. Forms, screenshots, data extraction. Works standalone or via MCP. Testing included.

leoyeai-openclaw-master-skills Bundle

Multi-agent debate council — spawns 3 specialized sub-agents in parallel (Scholar, Engineer, Muse) for Round 1, then optional Round 2 cross-examination to challenge assumptions and strengthen the final synthesis. Configurable models and templates per role.

leoyeai-openclaw-master-skills Bundle

Privacy-first UX research ethnographer for OpenClaw with a personal-finance lens. Auto-invoked to observe and log structured behavioral events (no inference). Compiles sanitized Observed Behavior and Interpretation reports 3x/day (09:00/13:00/17:00 America/Los_Angeles) and presents them for participant review before any sharing. All PII/sensitive scrubbing is exclusively delegated to the Sanitizer subagent — never handled by the Ethnographer.

leoyeai-openclaw-master-skills Bundle

Multi-agent task coordination via Git-backed Markdown (tick-md). Use when coordinating work across avatars or agents, managing tasks, tracking dependencies, or running multi-agent workflows with TICK.md files.

leoyeai-openclaw-master-skills Bundle

Zero token cost. Premium output. Never offline. Free LLM gateway + behavioral DNA. Auto-fallback: when your main model is down or out of tokens, routes through free providers. Same ::GENE{} soul as Poor Man's Opus. For beginners and disaster recovery. Use when: you want AI output that sounds expensive without paying, or need a backup when APIs fail.

leoyeai-openclaw-master-skills Skill

Give your AI agent eyes to see the entire internet. 7500+ GitHub stars. Search and read 14 platforms: Twitter/X, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu (小红书), Douyin (抖音), Weibo (微博), WeChat Articles (微信公众号), LinkedIn, Instagram, RSS, Exa web search, and any web page. One command install, zero config for 8 channels, agent-reach doctor for diagnostics. Use when: (1) user asks to search or read any of these platforms, (2) user shares a URL from any supported platform, (3) user asks to search the web, find information online, or research a topic, (4) user asks to post, comment, or interact on supported platforms, (5) user asks to configure or set up a platform channel. Triggers: "搜推特", "搜小红书", "看视频", "搜一下", "上网搜", "帮我查", "全网搜索", "search twitter", "read tweet", "youtube transcript", "search reddit", "read this link", "看这个链接", "B站", "bilibili", "抖音视频", "微信文章", "公众号", "LinkedIn", "GitHub issue", "RSS", "微博", "search online", "web search", "find information", "research", "帮我配", "configure twitter", "configur

pjt222 Bundle

Register trained models in MLflow Model Registry with version control, implement stage transitions (Staging, Production, Archived) with approval workflows, and manage model lineage with comprehensive metadata and deployment tracking. Use when promoting a trained model from experimentation to production, managing multiple model versions across development stages, implementing approval workflows for governance, rolling back to previous versions, or auditing model changes for compliance.

pjt222 Skill

Translate agent-almanac content (skills, agents, teams, guides) into a target locale while preserving code blocks, IDs, and technical structure. Covers scaffolding, frontmatter setup, prose translation, code preservation, and freshness tracking. Use when localizing content for a new language, updating stale translations after source changes, or batch-translating a domain.

leoyeai-openclaw-master-skills Bundle

Complete Kalshi trading command interface — portfolio P&L, live market scanning with edge scoring, trade execution, and risk management through your OpenClaw agent. Built-in safety: $25 max trade, 100 contract cap, $50 daily loss cutoff. Scan 600+ markets, query positions, execute trades with configurable blocklists and retry logic. Part of the OpenClaw Prediction Market Trading Stack — pairs with Kalshalyst for intelligent execution and feeds portfolio data to Market Morning Brief.

leoyeai-openclaw-master-skills Bundle

创建新的 OpenClaw Agent 及其 workspace。包含四个阶段：信息收集、 workspace 构造、系统注册、重启验证。 适用场景：新员工飞书配对后创建对应 Agent、新增功能型专业 Agent。 触发词：创建 agent、新建 agent、添加 agent、新员工配对后创建、 新增专业 agent。

leoyeai-openclaw-master-skills Bundle

AI-powered OpenClaw agent creator. 用AI创作AI - 帮助用户创建和配置全新的独立agent，支持飞书机器人绑定、模型选择、工作区配置。Trigger: 创建agent、new agent、创建机器人、agent setup、new bot、卸载agent、删除agent、remove agent

pjt222 Bundle

Build and analyze discrete or continuous Markov chains including transition matrix construction, state classification, stationary distribution computation, and mean first passage times. Use when modeling a memoryless system with observed transition counts or rates, computing long-run steady-state probabilities, determining expected hitting times or absorption probabilities, classifying states as transient or recurrent, or building a foundation for hidden Markov models or reinforcement learning MDPs.

pjt222 Bundle

Audit, classify, and selectively forget stored memories. Covers memory enumeration and classification by type/age/access frequency, staleness detection for outdated references, fidelity checks using external anchors, a decision tree for selective withdrawal, tombstoned deaccession so removed content stays recoverable, counter-memory inoculation for failed strategies that would otherwise be re-derived, preemptive filtering rules for what should never become memories, and an audit trail so forgetting itself is reviewable. Use when memory has grown large and uncurated, when project state has shifted significantly since memories were written, when retrieval quality has degraded, or as periodic maintenance alongside manage-memory.

pjt222 Bundle

Design and execute A/B tests for ML models in production using traffic splitting, statistical significance testing, and canary/shadow deployment strategies. Measure performance differences and make data-driven decisions about model rollout. Use when validating a new model version before full rollout, comparing candidate models trained with different algorithms, measuring business metric impact of model changes, or when regulatory requirements mandate gradual rollout.