phase-execution
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plan-review
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plan-validation
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pr-review-orchestration
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pr-review
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agent-creator
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command-creator
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skill-creator
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drafts-actions
Create and script actions for the Drafts app. Use this skill when the user needs help creating custom Drafts actions, understanding action steps, using template tags, scripting with JavaScript, or configuring action workflows for automation and productivity.
acceptance-tester
Execute systematic acceptance testing to verify implementations against acceptance criteria. Use this skill when tasks mention "驗收測試", "acceptance testing", "驗收", "validate implementation", or when Gherkin scenarios need to be executed.
github-pr-issue
查看/更新 GitHub Issue、PR（含评论与 diff），并按团队规范非交互创建或修改 PR；涉及 GitHub Issue/PR 的操作时使用。
gitlab-mr-issue
查看/更新 GitLab Issue、MR（含评论与 diff），并按团队规范非交互创建或修改 MR/Issue；涉及 GitLab（含自建实例）Issue/MR 的操作时使用。
golang-lo
Go >= 1.18 项目中希望用 samber/lo（Lodash 风格泛型库）简化集合/映射/字符串、错误处理、重试/节流/防抖、通道并发或指针空值场景时使用。
pwdebug
用于需要通过命令行操作真实浏览器实例进行前端调试（如导航、执行 JS、截图、元素拾取、控制台日志）且希望跨多次命令复用同一浏览器会话的场景。
tech-doc
技术协作场景下撰写与维护高质量技术文档的统一写作指南。
ticktick-cli
使用 Python CLI 与 Dida365 Open API 交互以管理滴答清单任务/项目，适用于需要通过脚本或命令行调用滴答清单接口的场景（如项目/任务的查询、创建、更新、完成、删除）。
fetch-url
渲染网页 URL，去噪提取正文并输出为 Markdown（默认）或其他格式/原始 HTML，以减少 Token。
confluence-cli
查询、检索与阅读 Confluence 文档/页面。
create-skill
当你要创建/新增一个 skill，或重写/更新某个 skill 的 SKILL.md（结构、约定、模板）时使用。
dcjanus-preferences
记录 DCjanus 在不同语言中偏好的第三方库与使用场景，供 AI 在选型、引入依赖或替换库时优先参考。适用于 Python/Rust/Go 的库选择、技术方案对比、或需要遵循 DCjanus 个人偏好进行开发的场景。
arena-cli
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html-style
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imsg-ingest
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ai-loading-ux
Design AI loading, thinking, and progress indicator UX. Use when explicitly asked to improve AI waiting states, add thinking indicators, or design loading UX for AI interfaces. Covers reasoning display (chain-of-thought), progress steps, streaming states, and the "elevator mirror effect" for reducing perceived wait time.
comment-mode
Granular feedback on drafts without rewriting. Generates highlighted HTML with click-to-reveal inline comments. Use when user says "comment on this", "leave comments on", "give feedback on", or asks for feedback on a draft. Supports multiple lenses—editor feedback, POV simulation ("as brian would react"), or focused angles ("word choice only", "weak arguments"). A granular alternative to rewrites that lets users review feedback incrementally without losing their voice.
incremental-fetch
Build resilient data ingestion pipelines from APIs. Use when creating scripts that fetch paginated data from external APIs (Twitter, exchanges, any REST API) and need to track progress, avoid duplicates, handle rate limits, and support both incremental updates and historical backfills. Triggers: 'ingest data from API', 'pull tweets', 'fetch historical data', 'sync from X', 'build a data pipeline', 'fetch without re-downloading', 'resume the download', 'backfill older data'. NOT for: simple one-shot API calls, websocket/streaming connections, file downloads, or APIs without pagination.
mobbin-ux
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quick-view
Generate minimal HTML pages to review Claude Code output in a browser. Use when terminal output is hard to read, when reviewing lists/tables/drafts, or when user says "show me", "make this reviewable", "quick view", or "open as webpage". Produces unstyled semantic HTML only. For granular feedback with inline comments, see the comment-mode skill.
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.
table-filters
Designs optimal filtering UX for data tables. Use when building a table that needs filters - analyzes the data columns and determines the best filter type for each. Outputs a unified filter field with inline header filters.
tg-ingest
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unified-messages
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webhook-notify
Set up webhook-to-desktop notification systems using Cloudflare Workers and ntfy.sh. Use when users want to receive desktop notifications for webhooks from services like Stripe payments, GitHub events, custom app alerts, error monitoring, or any webhook source. Handles the full setup including worker deployment, local listener, and background service installation. Supports custom sounds, click actions, rich content, and event filtering.
cto-architecture-decision
Expert methodology for making and documenting critical architectural decisions using ADRs, trade-off analysis, migration planning, and technical debt management.
cto-engineering-metrics
Expert methodology for defining, tracking, and interpreting engineering performance metrics including DORA, team health, productivity, and executive reporting.
cto-risk-resilience
Expert methodology for identifying, assessing, and mitigating technical and operational risks including security, incidents, compliance, and disaster recovery.
cto-technology-roadmap
Expert methodology for creating strategic technology roadmaps aligned with business goals, including multi-horizon planning, capacity planning, and OKR frameworks.
annotate
Create flexible annotation workflows for AI applications. Contains common tools to explore raw ai agent logs/transcripts, extract out relevant evaluation data, and llm-as-a-judge creation.
pi-keys-generator
This skill generates Python scripts and shell scripts to control RGB LEDs on the Raspberry Pi 500+ keyboard. Use this skill when the user asks to create keyboard lighting effects, animations, color patterns, notification systems, or any program that controls the Pi 500+ keyboard LEDs. This skill should be used for requests like "turn F1-F12 keys blue", "create a typing speed indicator", or "make an email notification effect".
codex
This skill should be used when the user wants to invoke Codex CLI for complex coding tasks requiring high reasoning capabilities. Trigger phrases include "use codex", "ask codex", "run codex", "call codex", "codex cli", "GPT-5 reasoning", "OpenAI reasoning", or when users request complex implementation challenges, advanced reasoning, architecture design, or high-reasoning model assistance. Automatically triggers on codex-related requests and supports session continuation for iterative development.
gemini
This skill should be used when the user wants to invoke Google Gemini CLI for complex reasoning tasks, research, and AI assistance. Trigger phrases include "use gemini", "ask gemini", "run gemini", "call gemini", "gemini cli", "Google AI", "Gemini reasoning", or when users request Google's AI models, need advanced reasoning capabilities, research with web search, or want to continue previous Gemini conversations. Automatically triggers on Gemini-related requests and supports session continuation for iterative development.
PAI
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alex-hormozi-pitch
Create irresistible offers and pitches using Alex Hormozi's methodology from $100M Offers. Guides through value equation, guarantee frameworks, pricing psychology, and creating offers "too good not to take" for any product or service.
always-init
Universal task initializer that automatically loads PAI context for all user requests. Ensures complete context availability (contacts, preferences, protocols) before responding to any task. (project, gitignored)
research
Multi-source comprehensive research using perplexity-researcher, claude-researcher, and gemini-researcher agents. Launches up to 10 parallel research agents for fast results. USE WHEN user says 'do research', 'research X', 'find information about', 'investigate', 'analyze trends', 'current events', or any research-related request.
create-skill
Guide for creating new skills in Kai's personal AI infrastructure. Use when user wants to create, update, or structure a new skill that extends capabilities with specialized knowledge, workflows, or tool integrations. Follows both Anthropic skill standards and PAI-specific patterns.
fabric
Intelligent pattern selection for Fabric CLI. Automatically selects the right pattern from 242+ specialized prompts based on your intent - threat modeling, analysis, summarization, content creation, extraction, and more. USE WHEN processing content, analyzing data, creating summaries, threat modeling, or transforming text.
ffuf-web-fuzzing
Expert guidance for ffuf web fuzzing during penetration testing, including authenticated fuzzing with raw requests, auto-calibration, and result analysis
prompting
Prompt engineering standards and context engineering principles for AI agents based on Anthropic best practices. Covers clarity, structure, progressive discovery, and optimization for signal-to-noise ratio.
family-history-planning
Provides assistance with planning family history and genealogy research projects.
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