持續整合/部署

Design co-learning experiences using the Three Roles Framework (AI as Teacher/Student/Co-Worker). Use when teaching AI-driven development workflows, spec-first collaboration, or balancing AI assistance with foundational learning. NOT for curriculum without AI integration.

Design and create Claude Skills using progressive disclosure principles. Use when building new skills, planning skill architecture, or writing skill content.

Best practices for designing reproducible experiments

Generate pedagogically-aligned slide decks from educational content using NotebookLM. Use when creating chapter slide presentations with proficiency-calibrated prompts. NOT for static slides or non-educational presentations.

Technical conversation log with factual accuracy and precision tailored specifically for DEVELOPER and ENGINEER profiles. Provides systematic guidance for capturing decisions, outcomes, and next steps. Use when user asks to create technical conversation logs for reviews, architecture discussions, or implementation sessions.

This skill should be used when evaluating the quality of book chapters, lessons, or educational content. It provides a systematic 6-category rubric with weighted scoring (Technical Accuracy 30%, Pedagogical Effectiveness 25%, Writing Quality 20%, Structure & Organization 15%, AI-First Teaching 10%, Constitution Compliance Pass/Fail) and multi-tier assessment (Excellent/Good/Needs Work/Insufficient). Use this during iterative drafting, after content completion, on-demand review requests, or before validation phases.

Designs deliberate practice exercises applying evidence-based learning strategies like retrieval practice, spaced repetition, and interleaving. Activate when educators need varied exercise types (fill-in-blank, debug-this, build-from-scratch, extend-code, AI-collaborative) targeting learning objectives with appropriate difficulty progression. Creates exercise sets that apply cognitive science principles to maximize retention and skill development. Use when designing practice activities for Python concepts, creating homework assignments, generating problem sets, or evaluating exercise quality.

Design reusable prompt templates that encode domain-specific patterns for recurring AI tasks. Use when you've executed similar prompts 2+ times and need to capture the pattern as reusable intelligence. NOT for one-off prompts or generic "ask AI a question" patterns.

Design systematic decision frameworks for selecting appropriate AI tools (Claude Code vs Gemini CLI)based on context requirements, codebase size, reasoning depth needs, and task complexity. Use thisskill when starting projects with unclear tool requirements, optimizing context-constrained workflows,or designing multi-phase strategies that leverage multiple tools' strengths. This skill helps matchtool capabilities to task characteristics, preventing wasted context and ensuring optimal resourceallocation.

This skill should be used when deploying a Docusaurus site to GitHub Pages. It automates the configuration, building, and deployment process, handling GitHub Pages setup, environment configuration, and CI/CD automation. Includes local validation before GitHub Actions triggering.

Generate measurable learning outcomes aligned with Bloom's taxonomy and CEFR proficiency levels for educational content. Use when educators need to define what students will achieve, create learning objectives for curriculum planning, or ensure objectives are specific and testable rather than vague.

Startup protocol executed once at session start. Detects system instruction impulses, caches framework observations from memory graph, establishes temporal awareness, and activates specialized profiles. Provides initial session initialization protocol and session response protocol applied before each response. Execute procedures in sequence without displaying process details to user.

Technical design collaboration through natural dialogue. Adapts to expertise level and problem complexity through understanding, exploration, and validation stages. Use when user asks to brainstorm ideas for new features or systems requiring architectural decisions before implementation begins.

Use when lua tables as the universal data structure including arrays, dictionaries, objects, metatables, object-oriented patterns, data structures, and advanced table manipulation for building flexible, efficient Lua applications.

Use when designing system architecture, making high-level technical decisions, or planning major system changes. Focuses on structure, patterns, and long-term strategy.

Use when configuring GitLab CI/CD pipelines, defining stages, or setting up workflow rules. Covers pipeline structure, stage ordering, and execution flow.

Use when writing or creating new Standard Operating Procedures (SOPs) for AI agents. Covers effective SOP writing, clarity principles, and actionable instruction design.

Reconcile workflow state files to ensure checkpoints are properly updated. Use when state files are out of sync, after subagent completion without handoff, when switching workflows, or when user runs /reconcile command.

This skill should be used when investigating .NET project dependencies, understanding why packages are included, listing references, or auditing for outdated/vulnerable packages.

Use when Elixir OTP patterns including GenServer, Supervisor, Agent, and Task. Use when building concurrent, fault-tolerant Elixir applications.