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All Skills

Total 56,869 skills, AI & Machine Learning has 9457 skills

Categories

Showing 12 of 9457 skills

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AI & Machine Learninggarrytan/gbrain

idea-ingest

Ingest links, articles, tweets, and ideas into the brain. Fetch content, save to brain with analysis, create author people page, and cross-link. Use when the user shares a link or says "read this", "save this", "think about this".

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16
AI & Machine Learninghkuds/cli-anything

cli-anything-ollama

Command-line interface for Ollama - Local LLM inference and model management via Ollama REST API. Designed for AI agents and power users who need to manage models, generate text, chat, and create embeddings without a GUI.

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AI & Machine Learningpchalasani/claude-code-to...

patterns

Design patterns for the Langroid multi-agent LLM framework. Covers agent configuration, tools, task control, and integrations.

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AI & Machine Learningpchalasani/claude-code-to...

session-search

For CLI agents WITHOUT subagent support (e.g., Codex CLI). Search previous code agent sessions for specific work, decisions, or code patterns.

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16
AI & Machine Learningfatih-developer/fth-skill...

ecosystem-orchestration

Comprehensive map for multi-brain, orchestration, and agent governance. Triggers when users ask to 'view the orchestration ecosystem', 'how do agents work together?', 'multi-brain workflows', or 'give agents access'.

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1 scripts/Attention
AI & Machine Learningmksglu/context-mode

ctx-purge

Purge the context-mode knowledge base. Permanently deletes all indexed content and resets session stats. This is destructive and cannot be undone. Trigger: /context-mode:ctx-purge

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16
AI & Machine Learningvllm-project/vllm-skills

vllm-prefix-cache-bench

This is a skill for benchmarking the efficiency of automatic prefix caching in vLLM using fixed prompts, real-world datasets, or synthetic prefix/suffix patterns. Use when the user asks to benchmark prefix caching hit rate, caching efficiency, or repeated-prompt performance in vLLM.

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16
AI & Machine Learningopenrouterteam/skills

create-agent-tui

Scaffolds a complete agent TUI in TypeScript using @openrouter/agent — like create-react-app for terminal agents. Generates a customizable terminal interface with three input styles, four tool display modes, ASCII banners, streaming output, session persistence, and configurable tools. Use when building an agent, creating a TUI, scaffolding an agent project, or building a coding assistant.

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19 scripts/Attention
AI & Machine Learningsales-skills/sales

sales-winn

Winn.ai platform help — real-time AI sales assistant with playbook adherence tracking, automated CRM updates, and live coaching. Use when setting up Winn.ai playbook templates for MEDDIC or BANT or SPICED, CRM fields not populating after sales calls in Salesforce or HubSpot, Winn.ai not tracking talking points during calls, choosing between Winn.ai and Gong or Sybill or Fathom for real-time guidance, understanding Winn.ai Pro vs Enterprise pricing and feature gating, configuring AI meeting prep briefs or follow-up emails, or Winn.ai Chrome extension not working during Zoom or Teams calls. Do NOT use for picking between note-takers generally (use /sales-note-taker) or reviewing a single call for coaching (use /sales-call-review).

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16
AI & Machine Learningaradotso/trending-skills

dflash-mlx-speculative-decoding

Lossless DFlash speculative decoding for MLX on Apple Silicon — 1.7–4x faster LLM inference using block diffusion drafting with target model verification.

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16
AI & Machine Learningravi-hq/deepthink-skills

tetlock

Philip Tetlock's Superforecasting framework applied to a business decision, investment thesis, or strategic question. Spawns a team of specialist agents — Calibrator, Decomposer, Updater, Devil's Advocate, Scorekeeper — who each apply a different piece of the superforecasting methodology. The lead synthesizes into a calibrated probability estimate with Brier-scoreable predictions, explicit base rates, and an accountability structure for keeping score over time. Use when the user says "tetlock this", "what's the probability", "how confident should I be", "forecast this", "calibrate this", proposes a business thesis and wants probabilistic stress-testing, or wants to apply superforecasting to a decision. Works standalone or after /munger.

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AI & Machine Learningravi-hq/deepthink-skills

kahneman

Daniel Kahneman's Cognitive Diagnostic applied to a decision, strategy, or business evaluation. Spawns a team of specialist agents — System Detector, Substitution Mapper, Prospect Theorist, Noise Auditor, Outside Viewer — who each apply a different lens from Kahneman's cognitive architecture to audit the decision for bias, noise, and cognitive traps. The lead synthesizes into a contamination assessment: which cognitive systems are operating, which substitutions are active, and whether the decision should proceed, be corrected, or be restructured. Use when the user says "kahneman this", "check my thinking", "am I biased", "audit this decision", "what am I missing", or presents any decision, strategy, or evaluation they want cognitively stress-tested. Works standalone or as a companion to /munger (Munger evaluates the business; Kahneman audits the thinking about the business).

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