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Automation
Task automation and scripting
video-script-collaborial
by alchaincyf
将视频脚本转换为更适合实际录制的口语化表达,去除书面化语言,增加自然感和亲和力。当用户提到"视频脚本"、"录制"、"口语化"、"自然一点"、"像说话一样"、"太书面了"时使用此技能。
iterative-retrieval
by joneqian
Pattern for progressively refining context retrieval to solve the subagent context problem
android-use
by shehbajdhillon
Control Android devices via ADB commands - tap, swipe, type, navigate apps
mikrotik-routeros-rsc
by alexandre-machado
"Creation, editing, and review of RouterOS scripts (.rsc) with focus on idempotency, security, and best practices. Use when you need to generate, adjust, or import .rsc files for MikroTik: (1) create new configurations via script, (2) edit existing scripts with safe corrections, (3) review risks and execution policies, (4) validate with import dry-run and error handling."
property-based-testing
by lv416e
Provides guidance for property-based testing across multiple languages and smart contracts. Use when writing tests, reviewing code with serialization/validation/parsing patterns, designing features, or when property-based testing would provide stronger coverage than example-based tests.
executing-plans
by lv416e
"Use when partner provides a complete implementation plan to execute in controlled batches with review checkpoints - loads plan, reviews critically, executes tasks in batches, reports for review between batches パートナーが完全な実装計画を提供し、レビューチェックポイント付きで制御されたバッチで実行する際に使用 - 計画を読み込み、批判的にレビューし、タスクをバッチで実行し、バッチ間でレビュー報告"
prompt-improver
by dazuck
Transform any rough prompt, task description, or job into an optimized AI instruction prompt. Use when users ask to "improve this prompt", "make this better for an AI", "optimize this for Claude/GPT", or provide raw instructions that need refinement into a well-structured prompt following best practices.
design-frontend
by ravnhq
Visual design system patterns for web UIs — layout, responsive, Tailwind
specstory-session-summary
by specstoryai
Summarize recent SpecStory AI coding sessions in standup format. Use when the user wants to review sessions from .specstory/history, prepare for standups, track work progress, or understand what was accomplished.
conductor-methodology
by rbarcante
Use this skill when the user asks about Conductor concepts, workflow patterns, track lifecycle, plan structures, or context-driven development principles. Also activate when working with conductor/ directory files or when implementing tasks following TDD and verification protocols.
negotiating-offers
by oldwinter
"Negotiate job offers and produce an Offer Negotiation Pack (success-conditions asks, tradeoff matrix, negotiation strategy, scripts, optional contract/part-time proposal). Use for salary negotiation, equity negotiation, offer negotiation, comp negotiation. Category: Career."
tasknotes
by oldwinter
This skill should be used when users mention tasks, todos, work items, Obsidian notes, or need to manage their personal task list. It integrates with the TaskNotes CLI (tn) to list, create, update, complete, and organize tasks stored in Obsidian. Triggers on keywords like "task", "todo", "任务", "工作", "待办", "Obsidian", or when users ask about their schedule, deadlines, or what they need to do.
specdev
by ThilinaTLM
Specification-driven development workflow for AI agents. Use when tasks are too large for a single session, require multi-step implementation, span multiple files/features, or need persistent requirements tracking.
obsidian-cli-automation
by oldwinter
Use when users need terminal automation for Obsidian, including note and vault operations, daily notes, tasks, properties, search, plugin or theme management, and sync or history recovery.
ai-product-strategy
by oldwinter
"Create an AI Product Strategy Pack (thesis, prioritized use cases, system plan, eval + learning plan, agentic safety plan, roadmap). Use for AI product strategy, LLM/agent strategy, AI roadmap, AI-first product direction."
research
by bfollington
Research a topic, technology, or approach. Use when the user needs investigation or information gathering before implementation.
ideate
by bfollington
Brainstorm and explore ideas for a project or feature. Use when the user wants to generate creative solutions or explore possibilities.
agent-swarm
by lidpeng
创建和编排多智能体集群完成复杂任务。当用户需要将复杂任务拆解给多个专业智能体并行或串行执行时使用此技能。适用场景:(1) 复杂项目需要多角色协作(规划、调研、编码、写作、设计、分析、审核)(2) 需要并行执行多个独立子任务以提高效率 (3) 需要专业分工以优化成本和质量。关键词:多智能体、Agent集群、任务编排、并行执行、智能体团队。
skill-improver
by bfollington
This skill should be used at natural checkpoints (after completing complex tasks, at session end, or when friction occurs) to reflect on skill and process execution and identify targeted improvements. Use when experiencing confusion, repeated failures, or discovering new patterns that should be codified into skills for smoother future operation.
godot
by bfollington
This skill should be used when working on Godot Engine projects. It provides specialized knowledge of Godot's file formats (.gd, .tscn, .tres), architecture patterns (component-based, signal-driven, resource-based), common pitfalls, validation tools, code templates, and CLI workflows. The godot command is available for running the game, validating scripts, importing resources, and exporting builds. Use this skill for tasks involving Godot game development, debugging scene/resource files, implementing game systems, or creating new Godot components.
process-faq
by joneqian
Process and transform FAQ documents (xlsx, word, pdf, txt) into RAG-optimized format. Use when working with FAQ files, knowledge base documents, or when the user needs to analyze and restructure FAQ content for RAG systems.
good-TTvideo2text
by ImGoodBai
"Extract audio from short videos (Douyin/TikTok) and transcribe to text with timestamps. Use when user provides video URL and needs audio transcription."
Ai Workflow Automation
by omer-metin
spec-kit-parallel-orchestrator
by rexleimo
Parallel orchestration skill for Spec Kit workflows. When users mention spec kit, enter /speckit. or /prompts:speckit. commands, request spec kit workflow prompt, or need multi-agent collaboration, this skill must be triggered. It validates stages and dependencies first, then splits tasks into 3-6 parallel subtasks, aggregates results, and recursively proceeds to the next round.