incident-log-analyzer
Analyze incident logs, extract error patterns, identify root causes, generate insights and metrics. Use when user mentions logs, incidents, errors, failures, debugging, troubleshooting, log analysis, or investi...
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Analyze incident logs, extract error patterns, identify root causes, generate insights and metrics. Use when user mentions logs, incidents, errors, failures, debugging, troubleshooting, log analysis, or investi...
Configure Claude Code security settings including permission wildcards, shell operator protections, and project-level access controls. Use when setting up project permissions, configuring allowed tools, or secu...
Define and configure custom agents in Claude Code. Covers context forking, agent field specifications, and disallowedTools restrictions. Use when creating custom agent types, configuring agent isolation, or res...
Reference for X algorithm engagement types and signals. Use when analyzing engagement metrics, action predictions, or understanding what signals the algorithm tracks.
Explain the Phoenix ML model architecture for X recommendations. Use when users ask about embeddings, transformers, how predictions work, or ML model details.
识别并消除中文文本中的 AI 生成痕迹,使文章更自然、更像人类创作。 基于中文语境的 AI 写作特征检测,包括套话、过度修饰、机械结构等。 参考 Wikipedia "Signs of AI writing" 指南,并针对中文进行本地化。
Iteratively optimize prompt files against AgentV evaluation datasets by analyzing failures and refining instructions.
Default behavior pattern that automatically delegates implementation tasks to specialized sub-agents while keeping the main conversation focused on architecture, design, and strategy. Use when receiving ANY imp...
Generate LLM skills from documentation, codebases, and GitHub repositories
Local tool system for API integrations and automation. Use when connecting to external services, fetching data from APIs, or performing tasks that require credentials or network access.
Tinybird Code agent tools and prompts for working with Tinybird projects, datafiles, queries, deployments, and tests.
Copy the last assistant response as markdown to the clipboard
Generate videos using Google Veo models via the nano-banana CLI. Use this skill when the user asks to create, generate, animate, or produce videos with AI. Supports text-to-video, image-to-video animation, dial...
Generate and edit images using Google Gemini image models. Use this skill when the user asks to create, generate, make, or edit images with AI. Supports text-to-image, image editing, style transfer, and multi-i...
Typst 学术论文助手(支持中英文论文、会议/期刊投稿)。 领域:深度学习、时间序列、工业控制、计算机科学。 触发词(可独立调用任意模块): - "compile", "编译", "typst compile" → 编译模块 - "format", "格式检查", "li...
Write maximally terse agent prompts from scratch. Use when creating new agent specs, command prompts, or instruction sets. Teaches structure-first composition with compression-by-default patterns.
Multi-agent debate orchestration for Architecture Decision Records. Automatically triggers on ADR create/edit/delete. Coordinates architect, critic, independent-thinker, security, analyst, and high-level-adviso...
Guidance for deep knowledge graph traversal across memories, entities, and relationships. Use when needing comprehensive context before planning, investigating connections between concepts, or answering "what d...
CRITICAL learning capture. Extracts HIGH/MED/LOW confidence patterns from conversations to prevent repeating mistakes and preserve what works. Use PROACTIVELY after user corrections ("no", "wrong"), after prais...
Generate evidence-based documentary reports by searching across all 4 memory systems (Claude-Mem, Forgetful, Serena, DeepWiki), .agents/ artifacts, and GitHub issues. Produces investigative journalism-style ana...
Systematically populate the Forgetful knowledge base using Serena's LSP-powered symbol analysis for accurate, comprehensive codebase understanding.
Unified four-tier memory system for AI agents. Tier 1 Semantic (Serena+Forgetful search), Tier 2 Episodic (session replay), Tier 3 Causal (decision patterns). Enables memory-first architecture per ADR-007.
Autonomous meta-skill for creating high-quality custom slash commands using 5-phase workflow with multi-agent validation and quality gates. Use when user requests new slash command, reusable prompt automation,...
Optimize system prompts for Claude Code agents using proven prompt engineering patterns. Use when users request prompt improvement, optimization, or refinement for agent workflows, tool instructions, or system...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.