--agentskill

AI Agent Skill for meeting management. Audio transcription and structured storage with entity linking.

Automatically archive old documents from active/daily/ to archive/ based on file age. Archives files older than specified days into archive/YYYY-MM/ directories.

Security guidance and best practices for code development. Use when writing authentication code, handling sensitive data, validating user input, designing APIs, or reviewing code for security issues.

Generate codemods for large-scale code changes. Use when refactoring patterns across many files.

Automatically archive old documents from active/ to archive/ based on age and relevance rules.

Use Brave Search API to search the web and return structured results (title/url/snippet). Trigger when the user asks to enable Brave search, configure Brave API key, or perform web search using Brave.

Update and improve CLAUDE.md files with learnings from coding sessions

Comprehensive AI programming tutor for all levels. Teaches programming through interactive lessons, code review, debugging guidance, algorithm practice, project mentoring, and design pattern exploration. Use when the user wants to: learn a programming language, debug code, understand algorithms, review their code, learn design patterns, practice data structures, prepare for coding interviews, understand best practices, build projects, or get help with homework. Supports Python and JavaScript.

Automated code review for pull requests using multiple specialized agents with confidence-based scoring

Agent that simplifies and refines code for clarity, consistency, and maintainability while preserving functionality

Streamline your git workflow with simple commands for committing, pushing, and creating pull requests

Extract exam-focused study materials from multiple course files. Designed for pragmatists who want high scores, not academic perfection. Emphasizes ROI, cross-file analysis, and "just enough to ace the exam."

Create OpenClaw plugins/extensions (TypeScript modules) from natural‑language requests. Use when the user asks to create a plugin/extension, add a new slash command, add plugin tools, or says “create plugin that does …” or “create OpenClaw plugin called NAME …”. Trigger for /create-plugin NAME WHAT-IT-DOES, /create-plugin GENERAL-PROMPT, “create extension that does ACTION”, or similar.

Debug 场景特化。触发条件：用户说"帮我 debug"、"这代码炸了"、"报错了"、贴 stack trace、贴报错截图。 提供：动手前检查清单、修改纪律、退出条件判断、debug 三板斧方法论。

通用深度研究Agent。类似ChatGPT Deep Research / MiroThinker的Interactive Scaling模式。适用于任何需要"搞清楚"而非"快速回答"的问题：企业分析、产品调研、合同条款、技术评估、舆情调查、冷门问题等。会消耗大量token，换取结论可靠性。触发词："深度研究"、"帮我查清楚"、"详细调查"、"认真分析一下"、"用research模式"。

Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.

This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.

Creates interactive HTML playgrounds — self-contained single-file explorers that let users configure something visually through controls, see a live preview, and copy out a prompt. Use when the user asks to make a playground, explorer, or interactive tool for a topic.

Comprehensive PR review agents specializing in comments, tests, error handling, type design, code quality, and code simplification

Recursive self-improvement engine. Think from first principles, let insights emerge.

Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.

Process images using object detection, classification, and segmentation. Use when requesting "analyze image", "object detection", "image classification", or "computer vision". Trigger with relevant phrases based on skill purpose.

This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.

source: Created from README

source: Created from README

脚本工程化执行器。四层架构：原子→组合→Agent→配置。AI执行任务时优先使用脚本。

Security guidance and best practices for code development

Meta-cognitive self-learning system - Automated skill evolution based on predictive coding and value-driven mechanisms.

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

技能进化执行器。当需要分析脚本使用效果、识别优化机会、自动改进现有技能、或记录学习模式时使用。提供检测→优化→验证三层进化，支持 hooks 自动触发。

Manage OpenClaw skills - list, search, enable, disable, analyze, and organize skills. Use when you need to work with skills, manage skill collections, or optimize skill usage.

Auto-route tasks to the cheapest Claude model that works correctly. Three-tier progression: Haiku → Sonnet → Opus. Classify before responding. HAIKU (default): factual Q&A, greetings, reminders, status checks, lookups, simple file ops, heartbeats, casual chat, 1-2 sentence tasks. ESCALATE TO SONNET: code >10 lines, analysis, comparisons, planning, reports, multi-step reasoning, tables, long writing >3 paragraphs, summarization, research synthesis, most user conversations. ESCALATE TO OPUS: architecture decisions, complex debugging, multi-file refactoring, strategic planning, nuanced judgment, deep research, critical production decisions. Rule: If a human needs >30 seconds of focused thinking, escalate. If Sonnet struggles with complexity, go to Opus. Save 50-90% on API costs by starting cheap and escalating only when needed.

source: Created from README

Aiden的个人记忆API。支持向量语义搜索、混合权重模型、多种返回格式。省token模式用format=compact。