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浏览和安装 Killer-Skills 目录中的数千个 AI Agent 技能。支持 Claude Code、Windsurf、Cursor 等。

8 可用技能

hookify-rules

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affaan-m

本地化技能摘要: This skill should be used when the user asks to create a hookify rule, write a hook rule, configure hookify, add a hookify rule, or needs guidance on hookify rule syntax and patterns. It covers ai-agents, anthropic, claude workflows. Claude Code, Cursor, and

174.1k
0
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frontend-testing

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langgenius

本地化技能摘要: Generate Vitest + React Testing Library tests for Dify frontend components, hooks, and utilities. It covers agent, agentic-ai, agentic-framework workflows. Claude Code, Cursor, and Windsurf workflows.

140.2k
0
AI

unified-notifications-ops

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affaan-m

本地化技能摘要: Operate notifications as one ECC-native workflow across GitHub, Linear, desktop alerts, hooks, and connected communication surfaces. It covers ai-agents, anthropic, claude workflows. Claude Code, Cursor, and Windsurf workflows.

174.1k
0
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plankton-code-quality

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affaan-m

本地化技能摘要: Write-time code quality enforcement using Plankton — auto-formatting, linting, and Claude-powered fixes on every file edit via hooks. It covers ai-agents, anthropic, claude workflows. Claude Code, Cursor, and Windsurf workflows.

174.1k
0
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continuous-learning-v2

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affaan-m

本地化技能摘要: Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. It covers ai-agents, anthropic, claude workflows. Claude Code, Cursor, and Windsurf workflows.

174.1k
0
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workspace-surface-audit

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affaan-m

本地化技能摘要: Audit the active repo, MCP servers, plugins, connectors, env surfaces, and harness setup, then recommend the highest-value ECC-native skills, hooks, agents, and operator workflows. It covers ai-agents, anthropic, claude workflows. Claude Code, Cursor, and

174.1k
0
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agent-sort

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affaan-m

本地化技能摘要: Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. It covers ai-agents, anthropic, claude workflows. Claude Code, Cursor, and

174.1k
0
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regex-vs-llm-structured-text

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affaan-m

本地化技能摘要: Decision framework for choosing between regex and LLM when parsing structured text — start with regex, add LLM only for low-confidence edge cases. It covers ai-agents, anthropic, claude workflows. Claude Code, Cursor, and Windsurf workflows.

174.1k
0
开发者工具