content-refiner
Refine verbose educational content by eliminating redundancy, tightening prose, and strengthening lesson connections. Use when content is wordy, repetitive, or lacks narrative flow between sections.
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Skills indexés
62Étoiles des dépôts des skills indexés
7,188Forks du dépôt
5,904Moyenne des étoiles par skill indexé
116Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Refine verbose educational content by eliminating redundancy, tightening prose, and strengthening lesson connections. Use when content is wordy, repetitive, or lacks narrative flow between sections.
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,...
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...
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 fix...
Validates skills against production-level criteria with 9-category scoring. This skill should be used when reviewing, auditing, or improving skills to ensure quality standards. Evaluates structure, content, use...
Build production RAG systems with LangChain orchestration and Qdrant vector store. Covers 8 RAG architectures (Simple, HyDE, CRAG, Self-RAG, Agentic), document processing, semantic chunking, retrieval chains, a...
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 au...
Validate code examples across the 4-Layer Teaching Method with intelligent strategy selection. Use when validating Python/Node/Rust code in book chapters. NOT for production deployment testing.
Build interactive AI chat widgets with buttons, forms, and bidirectional actions. Use when creating agentic UIs with clickable widgets, entity tagging (@mentions), composer tools, or server-handled widget actio...
Use when building async database layers with SQLModel and PostgreSQL. Triggers include async session management, create_async_engine, SQLModel relationships, CRUD operations with async/await, N+1 prevention wit...
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.
Implement OAuth 2.1 / OIDC authentication using Better Auth with MCP assistance. Use when setting up a centralized auth server (SSO provider), implementing SSO clients in Next.js apps, configuring PKCE flows, o...
Generate production-ready Dockerfiles with multi-stage builds, security best practices, and optimization. Use when containerizing Python applications for production deployment.
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 fou...
Build persistent memory systems for AI agents using Mem0, claude-mem, or custom implementations. Use when adding conversation memory, user preferences, or contextual recall to agents. Covers memory architecture...
Plan, structure, and scaffold large educational books using cognitive load management and pedagogical best practices. Use when planning multi-part educational works requiring narrative continuity, progressive c...
Use when testing AI agent code with pytest. Covers TDD for agent APIs, mocking LLM calls (NOT evaluating LLM outputs), pytest-asyncio patterns, FastAPI testing with httpx, SQLModel testing, and agent tool testi...
Review technical prose for accessibility, jargon density, and gatekeeping language. Ensures content passes the 'Grandma Test' and avoids 'obviously', 'simply' (Gatekeeping). Use this to refine technical explana...
Systematic methodology for debugging bugs, test failures, and unexpected behavior. Use when encountering any technical issue before proposing fixes. Covers root cause investigation, pattern analysis, hypothesis...
Use when building AI agents with OpenAI's Agents SDK. Triggers include creating agents, implementing tools, multi-agent handoffs, guardrails, MCP integration, tracing. Also for using LiteLLM to run agents on fr...
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...
Use when building event-driven systems with Apache Kafka on Kubernetes. Triggers include EDA patterns, Kafka producers/consumers, Strimzi operator deployment, Schema Registry, transactions, exactly-once semanti...
Build AI chat interfaces with custom backends, authentication, and context injection. Use when integrating chat UI with AI agents, adding auth, or injecting user/page context. Covers ChatKitServer, useChatKit,...
Deploy Kubernetes workloads to real cloud providers. Use when provisioning managed Kubernetes (DOKS, AKS, GKE, EKS, Civo) or self-managed clusters (Hetzner + K3s). Covers CLI tools, cluster creation, LoadBalanc...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.