Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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walmart-sales-analyzer
Analyze Walmart sales data to explore trends between store sales and unemployment rates. Generate insightful visualizations and a beautiful HTML report with deep analysis. Suitable for quick insights into the relationship between sales data and macroeconomic factors.
eosphoros-ai/DB-GPT 18,484
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csv-data-analysis
This skill should be used when users need to analyze CSV or Excel files, understand data patterns, generate statistical summaries, or create data visualizations. Trigger keywords include "analyze CSV", "analyze Excel", "data analysis", "CSV analysis", "Excel analysis", "data statistics", "generate charts", "data visualization", "分析CSV", "分析Excel", "数据分析", "CSV分析", "Excel分析", "数据统计", "生成图表", "数据可视化".
eosphoros-ai/DB-GPT 18,484
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agent-browser
Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection
eosphoros-ai/DB-GPT 18,484
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skill-creator
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
eosphoros-ai/DB-GPT 18,484
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i18n-check
检查并补充前端和后端的i18n翻译文件。以中文（zh-CN）为基准，检查其他语言翻译文件是否缺少key，并补充缺失的key和对应的翻译值。对于日语(ja-JP)、韩语(ko-KR)、繁体中文(zh-TW)，使用与非CJK语言对比的方式检测未翻译内容。
zhimaAi/ChatClaw 245
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readme-from-docx
Update README and docs/readmes from Word docx (English and Chinese). Use when the user provides docx files to update feature previews, wants to sync README with docx content, or asks to extract docx images and update readmes.
zhimaAi/ChatClaw 245
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codex-app-parity
Use when implementing or changing user-visible behavior/UI in this repository and parity with the installed Codex desktop app must be validated before coding.
friuns2/codexUI 221
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github-pr-acceptance
friuns2/codexUI 221
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npm-publish
用于本仓库的 npm 发布流程。当用户提到发布到 npm、发包、npm publish、发布 latest、验证 npm 包版本或准备 npm release 时使用。优先复用仓库现有的 publish.sh 与 package.json 配置，而不是临时手写发布步骤。
friuns2/codexUI 221
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upstream-sync-curator
用于这个仓库中“先分析 upstream 提交与代码变更，再按功能主题选择性引入 upstream 变更；所有操作在临时 worktree 中完成，并在难解冲突时优先保留当前 fork 实现”。当用户提到 upstream sync、同步源仓库、选择性合并 upstream、分析上游提交、挑功能合并等意图时使用。仅适用于 nervmor/codexui 与其上游 friuns2/codexUI。
friuns2/codexUI 221
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pageindex
PageIndex - Vectorless reasoning-based RAG for document retrieval
marcusquinn/aidevops 172
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chromium-debug-use
Attach to a user's already-open Chromium-family browser for live inspection and light interaction after explicit local approval
marcusquinn/aidevops 172
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AgentDB Performance Optimization
Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.
chatman-media/timeline-studio 155
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swarm-advanced
Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows
chatman-media/timeline-studio 155
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AgentDB Learning Plugins
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.
chatman-media/timeline-studio 155
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github-code-review
Comprehensive GitHub code review with AI-powered swarm coordination
chatman-media/timeline-studio 155
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Skill Builder
Create new Claude Code Skills with proper YAML frontmatter, progressive disclosure structure, and complete directory organization. Use when you need to build custom skills for specific workflows, generate skill templates, or understand the Claude Skills specification.
chatman-media/timeline-studio 155
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AgentDB Vector Search
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.
chatman-media/timeline-studio 155
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github-project-management
Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
chatman-media/timeline-studio 155
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ReasoningBank Intelligence
Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cognitive systems.
chatman-media/timeline-studio 155
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ReasoningBank with AgentDB
Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems.
chatman-media/timeline-studio 155
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flow-nexus-swarm
Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform
chatman-media/timeline-studio 155
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Swarm Orchestration
Orchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building distributed AI systems.
chatman-media/timeline-studio 155
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github-release-management
Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management
chatman-media/timeline-studio 155