代码生成
生成代码、脚手架和模板
swift-protocol-di-testing
affaan-m
Protocol-based dependency injection for testable Swift code — mock file system, network, and external APIs using focused protocols and Swift Testing. Use when Swift code needs testing and file system, network, or external APIs must be mocked.
python-patterns
affaan-m
Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications. Use when writing or reviewing Python code and idiomatic structure, typing, or PEP 8 is in question.
chinese-novelist
PenglongHuang
分章节创作引人入胜的中文小说。支持各种题材（悬疑/言情/奇幻/科幻/历史等），支持10-50章长篇创作，每章3000-5000字，结尾设置悬念钩子。强调深度润色去除AI痕迹，确保文字自然流畅。 当用户要求：写小说、创作故事、分章节写作、连续剧情、章节悬念、长篇小说时使用。
generic-design-system
travisjneuman
Complete design system reference for any project - colors, typography, spacing, components, animations. Adapts to project theme and tech stack. Use when implementing UI, choosing colors, creating animations, or ensuring brand consistency. For new design systems, use ui-research skill first.
brand-identity
travisjneuman
Brand strategy and identity design for businesses and products. Use when creating brand guidelines, developing visual identity systems, or defining brand positioning.
battle-card-builder
travisjneuman
Competitive battle card creation for sales teams combining competitive intelligence, sales enablement, and document formatting. Use when building battle cards, competitive analysis decks, or win/loss analysis materials.
numerai-research
numerai
"End-to-end Numerai research workflow for trying a new idea: design experiments, implement new model types if needed, run scout→scale experiments, write a full experiment.md report with standard plots, and optionally package/upload a Numerai pickle. Use when a user asks to “try/test a new idea”, “run an experiment”, “sweep configs”, “compare model variants”, or otherwise do new Numerai research."
bd-issue-tracking
Microck
Track complex, multi-session work with dependency graphs using bd (beads) issue tracker. Use when work spans multiple sessions, has complex dependencies, or requires persistent context across compaction cycles. For simple single-session linear tasks, TodoWrite remains appropriate.
doc-coauthoring
ynulihao
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.
gpui-style-guide
longbridge
GPUI Component project style guide based on gpui-component code patterns. Use when writing new components, reviewing code, or ensuring consistency with existing gpui-component implementations. Covers component structure, trait implementations, naming conventions, and API patterns observed in the actual codebase.
scrum-master
aj-geddes
Sprint planning and agile workflow specialist. Breaks epics into user stories, estimates complexity using story points, plans sprint iterations, and tracks velocity. Trigger keywords: sprint planning, user story, story points, velocity, backlog, sprint, epic breakdown, estimation, burndown, agile planning.
humanizer-ru
Vladimir-Human
"Use when: нужно очеловечить (humanize) сгенерированный ИИ текст на русском. Убирает 25 машинных паттернов, делает язык живым и естественным."
data-cleaning
brycewang-stanford
Clean and transform messy data for analysis in Python, R, or Stata
ml-causal
brycewang-stanford
Econometrics skill for machine learning methods in causal inference. Activates when the user asks about: "causal forest", "generalized random forest", "GRF", "double machine learning", "DML", "debiased machine learning", "LASSO for variable selection", "post-LASSO", "heterogeneous treatment effects", "CATE", "conditional average treatment effect", "BLP analysis", "CLAN analysis", "causal tree", "honest estimation", "因果森林", "双重机器学习", "异质性处理效应", "条件平均处理效应", "LASSO变量选择", "机器学习因果推断", "去偏机器学习"
gpui-context
longbridge
Context management in GPUI including App, Window, and AsyncApp. Use when working with contexts, entity updates, or window operations. Different context types provide different capabilities for UI rendering, entity management, and async operations.
gpui-action
longbridge
Action definitions and keyboard shortcuts in GPUI. Use when implementing actions, keyboard shortcuts, or key bindings.
agent-base-template-generator
ruvnet
Agent skill for base-template-generator - invoke with $agent-base-template-generator
agent-production-validator
ruvnet
Agent skill for production-validator - invoke with $agent-production-validator
agent-crdt-synchronizer
ruvnet
Agent skill for crdt-synchronizer - invoke with $agent-crdt-synchronizer
agent-goal-planner
ruvnet
Agent skill for goal-planner - invoke with $agent-goal-planner
agent-coordinator-swarm-init
ruvnet
Agent skill for coordinator-swarm-init - invoke with $agent-coordinator-swarm-init
agent-load-balancer
ruvnet
Agent skill for load-balancer - invoke with $agent-load-balancer
agent-payments
ruvnet
Agent skill for payments - invoke with $agent-payments
agent-benchmark-suite
ruvnet
Agent skill for benchmark-suite - invoke with $agent-benchmark-suite