Choose the correct CLAUDE.md or LESSONS.md template for journalism projects. Use when starting a new project, setting up documentation, or unsure which template category fits best. Provides decision trees and selection guidance for 6 journalism-focused template types.
Accesses the claude-mem MCP server from Cursor to search session history and record observations. Triggers: memory search, claude-mem, past decisions, record this. Do NOT load for: normal coding, temporary notes, or implementation work.
Guides diagnosis and resolution when problems occur. Use when user mentions something broken, errors, or that it doesn't work. Do NOT load for: successful builds, new feature implementation, or reviews.
Capture and retrieve PR review knowledge in project memory palaces
This skill should be used when the user asks questions about startups, founding decisions, co-founders, fundraising, product development, growth, hiring, or any entrepreneurial advice. It provides access to Y Combinator's complete library of 443 curated resources including essays by Paul Graham, founder interviews, and startup school lectures. Use this skill to give thorough, research-backed advice on startup decisions.
Fetches official documentation for external libraries and frameworks (React, Next.js, Prisma, FastAPI, Express, Tailwind, MongoDB, etc.) with 60-90% token savings via content-type filtering. Use this skill when implementing features using library APIs, debugging library-specific errors, troubleshooting configuration issues, installing or setting up frameworks, integrating third-party packages, upgrading between library versions, or looking up correct API patterns and best practices. Triggers automatically during coding work - fetch docs before writing library code to get correct patterns, not after guessing wrong.
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.
This skill should be used after productive sessions to extract learnings and route them to appropriate Reusable Intelligence Infrastructure (RII) components. Use when corrections were made, format drift was fixed, new patterns emerged, or the user explicitly asks to "harvest learnings" or "capture session intelligence". Transforms one-time fixes into permanent organizational knowledge by implementing updates across multiple files.
This skill should be used when generating lesson summaries for educational content. It extracts key concepts, mental models, patterns, and common mistakes from lesson markdown files using a Socratic extraction process. Use this skill when a lesson file needs a `.summary.md` companion file, or when reviewing/refreshing existing summaries.
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 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.
Creates assessments with varied question types (MCQ, code-completion, debugging, projects) aligned to learning objectives. Use when educators design quizzes/exams, need questions at appropriate Bloom's cognitive levels, want balanced cognitive distribution (60%+ non-recall), or require rubrics for open-ended questions.
Generate 50-question interactive quizzes using the Quiz component with randomized batching. Use when creating end-of-chapter assessments. Displays 15-20 questions per session with immediate feedback. NOT for static markdown quizzes.
Generate rigorous MIT PhD-level qualifying examinations from Markdown/Obsidian notes. This skill should be used when users request quiz creation, exam generation, assessment materials, practice questions, or study guides. Triggers on "create quiz", "generate exam", "make practice questions", "assessment", "test me on", or any request for educational testing materials from source content.
Generate MIT-standard certification exams (DOCX) for chapters or parts. Use "ch X" for single chapter, "part X" for entire part. Disambiguates scope before generation. Outputs to assessments/ directory.
Design progressive learning sequences that build foundational understanding before complexity. Use when breaking complex concepts into steps, managing cognitive load, or validating prerequisite understanding. Applies Bloom's progression and tier-based cognitive limits (CEFR A1-C2).
This skill should be used when content teaches patterns (skills, subagents, ADRs, PHRs, specifications) that have canonical sources elsewhere. Prevents format drift by ensuring content references and follows the authoritative format from canonical sources. Use before implementing lessons that teach platform patterns, or when reviewing content for format consistency.
Auto-generate OpenAPI 3 documentation for Spring Boot REST APIs using springdoc-openapi. Use when API endpoints change, controllers are modified, or user mentions API docs, Swagger, or OpenAPI. Triggers on @RestController changes, documentation requests, endpoint additions.
Auto-generate OpenAPI 3 documentation for Spring Boot 4.x REST APIs using springdoc-openapi v3.0. Use when API endpoints change, controllers are modified, or user mentions API docs, Swagger, or OpenAPI. Triggers on @RestController changes, documentation requests, endpoint additions. Requires Spring Boot 4.0+ and Java 17+.
Use this skill when stuck in circular debugging, when solutions aren't working despite multiple attempts, or when the user expresses frustration with lack of progress. Bring in GPT-5 as a third-party consultant to provide fresh perspective on complex technical problems, architectural decisions, or multi-system debugging issues. Ideal when you've tried multiple approaches without success, when the problem involves obscure edge cases or novel challenges, or when a second expert opinion would help break through an impasse. Gather all context from the conversation so far and present it comprehensively to GPT-5.
Capture solved problems as categorized documentation with YAML frontmatter for fast lookup
Use when design is complete and you need detailed implementation tasks for engineers with zero codebase context - creates comprehensive implementation plans with exact file paths, complete code examples, and verification steps assuming engineer has minimal domain knowledge
帮助用户按照 astro-koharu 博客的规范创建新博文。自动生成正确的 frontmatter 结构、选择合适的分类路径，并提供 Markdown 内容框架建议。使用场景：写一篇博文、创建新文章、写文章、写博客、new post、create blog post。
Write Python docstrings following the Google Python Style Guide, using clear sections and examples.
