搜索「Learn」的结果

com.6ducklearn/mcp

Connect agents to 6DuckLearn memory, approvals, and runtime control.

io.github.Enreign/pagerunner

Real Chrome profiles with site intelligence — already logged in, PII anonymization, sessions persist

com.microsoft/microsoft-learn-mcp

Official Microsoft Learn MCP Server – real-time, trusted docs & code samples for AI and LLMs.

io.github.yarnabrina/mcp-learning

MCP server that can perform basic arithmetic operations and parse/evaluate arithmetic expressions.

io.github.netdata/netdata/docs-learn-site-structure

Authoritative reference for how docs in this repo (and 5 other Netdata-org repos) become published pages on `learn.netdata.cloud`. Covers the `<repo>/docs/.map/map.yaml` source-of-truth (the actual lever -- filesystem path is irrelevant for routing), the live `ingest/ingest.py` orchestrator in the learn repo (NOT the legacy `ingest.js`), frontmatter injection, slug rules, sidebar autogeneration, MDX escape rules, versioning, the 4-mechanism redirect stack, the 6 source repositories, the every-3-hours CI ingest, Netlify deploy, and the `part_of_learn=True` opt-in for files hand-authored in the learn repo. Use when adding/moving/renaming/deleting a docs page; when a page on Learn looks wrong; when wondering whether to edit a doc here or in the learn repo; when reading `ingest.py`, `sidebars.js`, `docusaurus.config.js`, `static.toml`, `LegacyLearnCorrelateLinksWithGHURLs.json`, `netlify.toml`, the `<!--startmeta` blocks in `.mdx` files, or the workflows `ingest.yml` and `daily-learn-link-check.yml`.

io.github.K-Dense-AI/scientific-agent-skills/scikit-learn

Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.

io.github.netdata/netdata/learn-site-structure

Authoritative reference for how docs in this repo (and 5 other Netdata-org repos) become published pages on `learn.netdata.cloud`. Covers the `<repo>/docs/.map/map.yaml` source-of-truth (the actual lever -- filesystem path is irrelevant for routing), the live `ingest/ingest.py` orchestrator in the learn repo (NOT the legacy `ingest.js`), frontmatter injection, slug rules, sidebar autogeneration, MDX escape rules, versioning, the 4-mechanism redirect stack, the 6 source repositories, the every-3-hours CI ingest, Netlify deploy, and the `part_of_learn=True` opt-in for files hand-authored in the learn repo. Use when adding/moving/renaming/deleting a docs page; when a page on Learn looks wrong; when wondering whether to edit a doc here or in the learn repo; when reading `ingest.py`, `sidebars.js`, `docusaurus.config.js`, `static.toml`, `LegacyLearnCorrelateLinksWithGHURLs.json`, `netlify.toml`, the `<!--startmeta` blocks in `.mdx` files, or the workflows `ingest.yml` and `daily-learn-link-check.yml`.

io.github.affaan-m/ECC/continuous-learning-v2

Sistema de aprendizaje basado en instintos que observa sesiones mediante hooks, crea instintos atómicos con puntuación de confianza y los evoluciona en skills/comandos/agentes. v2.1 agrega instintos con alcance de proyecto para prevenir contaminación entre proyectos.

io.github.jeremylongshore/claude-code-plugins-plus-skills/deploying-machine-learning-models

Deploy this skill enables AI assistant to deploy machine learning models to production environments. it automates the deployment workflow, implements best practices for serving models, optimizes performance, and handles potential errors. use this skill when th... Use when deploying or managing infrastructure. Trigger with phrases like 'deploy', 'infrastructure', or 'CI/CD'.

io.github.affaan-m/ECC/continuous-learning-v2

Hook'lar aracılığıyla oturumları gözlemleyen, güven skorlaması ile atomik instinct'ler oluşturan ve bunları skill/command/agent'lara evriltiren instinct tabanlı öğrenme sistemi. v2.1 çapraz proje kontaminasyonunu önlemek için proje kapsamlı instinct'ler ekler.

io.github.affaan-m/ECC/continuous-learning

Claude Code oturumlarından yeniden kullanılabilir kalıpları otomatik olarak çıkarın ve gelecekte kullanmak üzere öğrenilmiş skill'ler olarak kaydedin.

io.github.cursor/plugins/continual-learning

Orchestrate continual learning by delegating transcript mining and AGENTS.md updates to `agents-memory-updater`.

io.github.affaan-m/ECC/continuous-learning

Claude Code 세션에서 재사용 가능한 패턴을 자동으로 추출하여 향후 사용을 위한 학습된 스킬로 저장합니다.

io.github.affaan-m/ECC/continuous-learning

自动从Claude Code会话中提取可重复使用的模式，并将其保存为学习到的技能以供将来使用。

io.github.affaan-m/ECC/continuous-learning

Claude Codeセッションから再利用可能なパターンを自動的に抽出し、将来の使用のために学習済みスキルとして保存します。

io.github.affaan-m/ECC/continuous-learning

Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.

io.github.ruvnet/ruflo/agent-sona-learning-optimizer

Agent skill for sona-learning-optimizer - invoke with $agent-sona-learning-optimizer

io.github.ruvnet/RuView/agentdb-learning

Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.

io.clawhub.jackeven02/video-learn

视频理解与分析能力 - 让 AI 能够理解视频内容、提取关键信息。当用户要求分析视频、理解视频内容、总结视频、提取视频要点时触发此技能。

io.clawhub.stevengonsalvez/reflect-learn

Self-improvement through conversation analysis. Extracts learnings from corrections and success patterns, proposes updates to agent files or creates new skil...

io.github.learningloons-hash/lithtrix

Identity, memory, trust, and swarm MCP tools for AI agents. Spark trial at lithtrix.ai.

com.lutolearn/myaitwin

A personal RAG database you build from chat, so AI creates work that sounds like you.

app.aspirelearning/mcp

Aspire Learning MCP — browse courses, chapters, lessons, and import LaTeX quizzes

io.github.As-The-Geek-Learns/content-repurposer

Repurpose content into Twitter threads, LinkedIn posts, Substack notes, email, and video.