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All Skills

Total 50,542 skills, AI & Machine Learning has 8483 skills

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Showing 12 of 8483 skills

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AI & Machine Learningqodex-ai/ai-agent-skills

protocol-implementation-framework

Build Model Context Protocol servers and implementations. Creates protocol-compliant tools and integrations for AI-powered applications.

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8
2 scripts/Checked
AI & Machine Learningcaidanw/skills

agents-md

Write effective AGENTS.md files that give coding agents the context they need to work in a repository. Use when creating a new AGENTS.md, improving an existing one, setting up a repo for AI coding agents, or onboarding agents to a codebase. Triggers on: "write AGENTS.md", "create AGENTS.md", "agent instructions", "set up repo for agents", "configure coding agent", "onboard agent to codebase", "agent context file".

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8
AI & Machine Learningrichfrem/agent-plugins-sk...

memory-management

Tiered memory system for cognitive continuity across agent sessions. Manages hot cache (session context loaded at boot) and deep storage (loaded on demand). Use when: (1) starting a session and loading context, (2) deciding what to remember vs forget, (3) promoting/demoting knowledge between tiers, (4) user says 'remember this' or asks about project history.

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8
AI & Machine Learningethansei/skills

deep-research

Hypothesis-driven deep research swarm. Spawns specialist sub-agents to investigate a task across codebase patterns, web sources, MCP tools, installed skills, and project dependencies — with evidence grading and adversarial challenge. Activates on: research, investigate, discover, deep research, how should I, what's the best way, explore options, analyze approaches, scout, prior art, feasibility.

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8
AI & Machine Learningthincher/awsome_skills

glm-web-search

Use GLM web search MCP to perform internet searches. Trigger conditions: (1) Users request network search, online search, or information lookup (2) Need to query the latest information, news, and materials (3) Use GLM's web_search function

🇨🇳|ChineseTranslated
8
AI & Machine Learningrichfrem/agent-plugins-sk...

create-stateful-skill

Interactive initialization script that generates an advanced Agent Skill utilizing L4 State Management, Lifecycle Artifacts, Tone Configuration, and Chained Commands. Use when authoring complex, persistent workflows.

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8
2 scripts/Checked
AI & Machine Learningcatcatcatai/cat-skills

notebook

Project notes system for preventing AI context loss and reasoning loops. Initialize notes, save notes mid-flow, recover context, migrate messy notes, and resolve lessons. Subcommands: /notebook, /notebook save, /notebook recover, /notebook migrate.

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8
AI & Machine Learningmindmorass/reflex

knowledge-ingestion-patterns

Patterns for ingesting knowledge into vector databases and RAG systems

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8
AI & Machine Learningfredchu/claude-session-ha...

session-handoff

Save current session state to Apple Notes at session end. Triggers on handoff, bye, done, wrap up, or Chinese equivalents. Multi-agent architecture with private (per-agent) and shared (cross-agent) notes. Three-tier memory: Active, Archive, Long-term. Use whenever the user wants to end a session, save progress, or says anything indicating they are done for now.

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8
AI & Machine Learningsundial-org/awesome-openc...

gemini-deep-research

Perform complex, long-running research tasks using Gemini Deep Research Agent. Use when asked to research topics requiring multi-source synthesis, competitive analysis, market research, or comprehensive technical investigations that benefit from systematic web search and analysis.

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8
1 scripts/Checked
AI & Machine Learninggaelic-ghost/productivity...

speak-with-profile

Profile-aware speech workflow for narrated notes, spoken drafts, audio summaries, accessibility reads, and other text-to-speech tasks. Use when one front-door workflow should resolve voice profiles, enforce disclosure, and apply manifest tracking before delegating to built-in `$speech` or a deterministic local CLI path.

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8
3 scripts/Attention
AI & Machine Learningmemtensor/memos

memos-memory-guide

Use the MemOS Local memory system to search and use the user's past conversations. Use this skill whenever the user refers to past chats, their own preferences or history, or when you need to answer from prior context. When auto-recall returns nothing (long or unclear user query), generate your own short search query and call memory_search. Use task_summary when you need full task context, skill_get for experience guides, skill_search to discover public skills, memory_write_public for shared knowledge, and memory_timeline to expand around a memory hit.

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