explainLearns how to explain things to your human. Adapts format, depth, and style by topic.
Install via ClawdBot CLI:
clawdbot install ivangdavila/explainGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 21, 2026
A tech company uses the Explain skill to train junior developers on complex programming concepts. The AI adapts explanations based on individual learning signals, ensuring effective knowledge transfer and reducing onboarding time.
An e-commerce platform integrates the skill into its chatbot to explain product features, troubleshooting steps, and policies. It tailors responses to customer comprehension levels, improving satisfaction and reducing escalations.
An online learning platform employs the skill to generate adaptive explanations for courses in subjects like math or science. It adjusts depth and format based on student feedback, enhancing engagement and learning outcomes.
A telehealth service uses the skill to explain medical conditions, treatments, and procedures to patients. It adapts jargon and detail to patient understanding, promoting better health literacy and adherence.
A fintech app incorporates the skill to explain investment strategies, market concepts, and financial products to users. It customizes explanations based on user expertise, helping demystify complex topics.
Offer the Explain skill as a cloud-based API service for businesses to integrate into their applications. Charge based on usage tiers, such as number of API calls or active users, ensuring scalability and recurring revenue.
License the skill to large organizations for internal use, such as in training platforms or customer service tools. Provide customization options and dedicated support, with one-time or annual licensing fees.
Deploy a free version with basic explanation capabilities for individual users or small teams, while offering advanced features like detailed analytics or multi-language support through paid upgrades.
💬 Integration Tip
Start by integrating the skill into a single use case, such as a FAQ chatbot, to test and learn from user signals before expanding to more complex applications.
Scored Apr 18, 2026
Use the @steipete/oracle CLI to bundle a prompt plus the right files and get a second-model review (API or browser) for debugging, refactors, design checks, or cross-validation.
Local search/indexing CLI (BM25 + vectors + rerank) with MCP mode.
Design data models for construction projects. Create entity-relationship diagrams, define schemas, and generate database structures.
MarkItDown is a Python utility from Microsoft for converting various files (PDF, Word, Excel, PPTX, Images, Audio) to Markdown. Useful for extracting structu...
Connect to Supabase for database operations, vector search, and storage. Use for storing data, running SQL queries, similarity search with pgvector, and managing tables. Triggers on requests involving databases, vector stores, embeddings, or Supabase specifically.
Use when designing database schemas, writing migrations, optimizing SQL queries, fixing N+1 problems, creating indexes, setting up PostgreSQL, configuring EF Core, implementing caching, partitioning tables, or any database performance question.