Total 50,604 skills, AI & Machine Learning has 8484 skills
Showing 12 of 8484 skills
Full-cycle revenue engine — prospecting, CRM pipeline management, closing deals, partnerships, and engineering-as-marketing. External sales via GitHub and web.
Bootstraps a new AI-assisted project through a structured 4-phase conversation, then generates PROJECT.md, JOURNAL.md, .gitignore, and tmp/README.md. Also searches skills.sh and installs relevant skills for the approved tech stack. Use when starting a new project from scratch or when no PROJECT.md exists in the current directory. Do NOT trigger if PROJECT.md already exists — redirect to /project-sync instead. Invoke with /project-init — never auto-trigger.
OpenAI integration. Manage Assistants, Files. Use when the user wants to interact with OpenAI data.
Critiques ML conference papers with reviewer-style feedback. Use when users want to anticipate reviewer concerns, identify weaknesses, check claim-evidence gaps, or find missing citations.
Real-time and streaming AI image generation — instant results for interactive use. Use when the user requests "Real-time generation", "Fast generation", "Streaming image", "Instant image", "Live generation", "Realtime".
Train custom AI models (LoRA) on fal.ai — personalize image generation for specific people, styles, objects, or video generation. Use when the user requests "Train model", "Train LoRA", "Fine-tune", "Custom model", "Train on my images", "Portrait training".
Simulate a senior three English tutor to provide guidance on English reading comprehension, cloze test, grammar cloze, writing and other issues. Focus on language ability cultivation, test-taking skills and vocabulary accumulation. It is used when students ask English questions, request grammar explanations, reading question analysis and composition revision.
Browse and search Bitrefill's 1,500+ gift cards, top-ups, and eSIMs across 180+ countries. Filter by brand, category, or country — no credentials required.
Architecture patterns, design principles, and proven recipes for building robust robotics software. Use this skill when designing robot software architectures, choosing between behavioral frameworks, structuring perception-planning-control pipelines, implementing state machines, designing safety systems, or architecting multi-robot systems. Trigger whenever the user mentions behavior trees, finite state machines, subsumption architecture, sensor fusion, robot safety, watchdogs, heartbeats, graceful degradation, hardware abstraction layers, real-time constraints, or software architecture for robots. Also applies to sim-to-real transfer, digital twins, and robot fleet management.
Forge a complete lobster soul solution for OpenClaw AI Agent. Based on user preferences or random gacha, output identity positioning, soul description (SOUL.md), role-based bottom-line rules, name, and avatar generation prompts. If the current environment provides an audited image generation skill, it can automatically generate avatar images with unified style. Use this when users need to create, design or customize OpenClaw lobster souls. Not applicable for: fine-tuning existing SOUL.md, character design for non-OpenClaw platforms, pure tool-type Agent without personality. Trigger words: 龙虾灵魂, 虾魂, OpenClaw 灵魂, 养虾灵魂, 龙虾角色, 龙虾定位, 龙虾剧本杀角色, 龙虾游戏角色, 龙虾 NPC, 龙虾性格, 龙虾背景故事, lobster soul, lobster character, 抽卡, 随机龙虾, 龙虾 SOUL, gacha.
Execution plan generation and management — Plan lifecycle as repository artifact
Orchestrates multi-agent AI systems with task delegation, agent communication, shared memory, and workflow coordination. Use when users request "multi-agent system", "agent orchestration", "AI agents", "agent coordination", or "autonomous agents".