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All Skills

Total 30,875 skills, AI & Machine Learning has 4985 skills

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Showing 12 of 4985 skills

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AI & Machine Learningvercel/chat

chat-sdk

Build multi-platform chat bots with Chat SDK (`chat` npm package). Use when developers want to (1) Build a Slack, Teams, Google Chat, Discord, GitHub, or Linear bot, (2) Use the Chat SDK to handle mentions, messages, reactions, slash commands, cards, modals, or streaming, (3) Set up webhook handlers for chat platforms, (4) Send interactive cards or stream AI responses to chat platforms. Triggers on "chat sdk", "chat bot", "slack bot", "teams bot", "discord bot", "@chat-adapter", building bots that work across multiple chat platforms.

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AI & Machine Learningneolabhq/context-engineer...

sadd:do-and-judge

Execute a task with sub-agent implementation and LLM-as-a-judge verification with automatic retry loop

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3
AI & Machine Learningsundial-org/awesome-openc...

memory-hygiene

Audit, clean, and optimize Clawdbot's vector memory (LanceDB). Use when memory is bloated with junk, token usage is high from irrelevant auto-recalls, or setting up memory maintenance automation.

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3
AI & Machine Learningwin4r/memory-lancedb-pro

lesson

Store a lesson learned from the current conversation. Triggered by /lesson command. Use when Master signals that the recent conversation contains a pitfall, fix, or key insight that should be persisted to long-term memory.

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3
AI & Machine Learningeachlabs/skills

subtitle-generation

Generate subtitles and captions for videos using each::sense AI. Create auto-generated subtitles, multi-language captions, animated TikTok-style text, SRT/VTT exports, speaker diarization, and burned-in subtitles.

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3
AI & Machine Learningnkootstra/skills

create-agents

Write, audit, and improve AGENTS.md files for AI coding agents. Use when creating or improving agent context for a codebase.

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3
AI & Machine Learningdeanpeters/product-manage...

context-engineering-advisor

Diagnose context stuffing vs. context engineering. Assess practices, define boundaries, and advise on memory architecture, retrieval, and the Research→Plan→Reset→Implement cycle.

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3
AI & Machine Learningcinience/alicloud-skills

alicloud-ai-search-opensearch

Use OpenSearch vector search edition via the Python SDK (ha3engine) to push documents and run HA/SQL searches. Ideal for RAG and vector retrieval pipelines in Claude Code/Codex.

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3
1 scripts/Checked
AI & Machine Learningcinience/alicloud-skills

alicloud-ai-multimodal-qwen-vl

Understand images with Alibaba Cloud Model Studio Qwen VL models (qwen3-vl-plus/qwen3-vl-flash and latest aliases). Use when building image Q&A, visual analysis, OCR-like extraction, chart/table reading, or screenshot understanding workflows.

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3
1 scripts/Checked
AI & Machine Learningcinience/alicloud-skills

alicloud-ai-audio-tts-voice-clone

Voice cloning workflows with Alibaba Cloud Model Studio Qwen TTS VC models. Use when creating cloned voices from sample audio and synthesizing text with cloned timbre.

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3
1 scripts/Checked
AI & Machine Learningcinience/alicloud-skills

alicloud-ai-search-milvus

Use AliCloud Milvus (serverless) with PyMilvus to create collections, insert vectors, and run filtered similarity search. Optimized for Claude Code/Codex vector retrieval flows.

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3
1 scripts/Checked
AI & Machine Learningluwill/research-skills

medical-imaging-review

Write comprehensive literature reviews for medical imaging AI research. Use when writing survey papers, systematic reviews, or literature analyses on topics like segmentation, detection, classification in CT, MRI, X-ray, ultrasound, or pathology imaging. Triggers on requests for "review paper", "survey", "literature review", "综述", "systematic review", or mentions of writing academic reviews on deep learning for medical imaging.

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