GitHub
task-orchestration
Orchestrate the complete development workflow for implementing sub-tasks from a task list. Use for end-to-end feature implementation with quality controls.
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探索开发、内容、数据与办公效率等 AI 技能。先比较用途和仓库热度，再查看技能说明与来源。
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GitHub
pull-request
Guidelines and tools for creating high-quality Pull Requests using the gh CLI. Includes bilingual templates (zh-TW/en) and validation scripts.
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GitHub
databricks-unity-catalog
Manage Unity Catalog resources including catalogs, schemas, and tables. Handles discovery, creation, updates, and deletions with proper naming conventions and governance. Use when exploring catalogs, creating s...
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GitHub
customer-workspace
Customer workspace initialization skill (Japanese UI). Provides inbox (information accumulation), meeting minutes management, and auto-classification rules. Use for "setup customer workspace" or "add inbox feat...
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GitHub
debug-grid-cell
Debug tool: Query specific cell in observed voxel grid
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GitHub
refactoring
Guidelines and techniques for identifying code smells and refactoring code, based on Refactoring.guru principles and adapted for Vanilla JS Chrome Extensions.
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GitHub
worker-orchestrator
Manages parallel Claude instances via tmux for multi-worktree development. Use when spawning workers, checking status, collecting results, or coordinating parallel tasks.
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GitHub
code-refactoring-small
Refactor overly large code units into smaller, more focused components. Use when code has grown too large or complex.
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GitHub
elixir-genius
Use when designing or architecting Elixir/Phoenix/LiveView applications, creating comprehensive project documentation, planning OTP supervision trees, defining domain models, structuring multi-app projects with...
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GitHub
flyio
Deploy and scale full-stack applications globally on Fly.io platform
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GitHub
code-refactoring-dry
Remove code duplication by extracting shared logic into reusable components. Use when the same logic appears in multiple places.
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GitHub
slow-command-running
Pipe long running commands through tee(1) to allow watching output and repeated analyses without rerunning
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GitHub
databricks-testing
Execute code on Databricks clusters using MCP Command Execution API. Supports stateless quick validation and stateful iterative development. Use when testing Python/SQL code on clusters, debugging pipelines, or...
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GitHub
databricks-bundle-deploy
Package and deploy Databricks Asset Bundles with proper parameterization, multi-environment support, and serverless compute. Handles project structure, databricks.yml generation, validation, and deployment. Use...
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GitHub
debug-get-local-grid
Debug tool: Get raw local_grid from world_state
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GitHub
debug-coord-transform
Debug tool: Transform coordinates between agent-relative and world-relative
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GitHub
mc-pillar-up
Atomic pillar-up: jump and place block under self to ascend by 1 block. Handles timing internally.
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GitHub
rust-engineering
Rust development capabilities including project analysis, Cargo management, and crate operations
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GitHub
databricks-ml-pipeline
End-to-end machine learning pipelines on Databricks including data exploration, feature engineering, model training with hyperparameter optimization, MLflow experiment tracking, model registration to Unity Cata...
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GitHub
databricks-data-engineering
Production data engineering pipelines following medallion architecture (Bronze/Silver/Gold layers) with data ingestion, transformation, quality checks, Delta Lake optimization, and orchestration. Use when build...
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GitHub
prp-generation
Generate a Product Requirements Prompt (PRP) from a feature description. Use when starting work on a new feature.
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GitHub
prd
Guidelines and templates for creating effective Product Requirement Documents (PRD), bridging the gap between business goals and technical implementation.
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GitHub
sa
Methodologies for System Analysis (SA), focusing on technical architecture, data flow modeling, and API design.
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GitHub
documentation-updates
Update documentation based on lessons learned. Use after completing work to capture learnings and prevent future issues.
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默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。