seo-optimizer
Optimize blog posts for search engines and improve discoverability. Use when improving SEO, analyzing keywords, or enhancing post visibility.
Optimize blog posts for search engines and improve discoverability. Use when improving SEO, analyzing keywords, or enhancing post visibility.
Structured Socratic questioning for exploring ideas and solutions. Use when exploring new features, evaluating approaches, or need to think through complex decisions.
Use when creating or reviewing technical documentation. Provides guidelines for natural, readable Japanese writing without AI-generated artifacts. Triggers: (1) creating technical documents or READMEs, (2) proofreading or reviewing existing documents, (3) writing blog posts or technical explanations.
Executes Tavily AI web operations via unified Python CLI. Use when searching the web, extracting content from URLs, crawling websites, or mapping site structure.
Transform raw captured content into distilled knowledge by extracting topics (outline), summary, key points, principles, patterns, entities, and quotes, storing the result in the distilled/ directory.
Write clear, effective help center articles that reduce support tickets and empower users
Create articles that rank in search engines and engage readers. Use when building organic traffic, establishing authority, or creating content that attracts your ideal customers through search.
Create useful, informative summaries of technologies or concepts that are readable in depth and have a digestable summary at the top.
Prompt engineering guidance for Grok (xAI) model. Use when crafting prompts for Grok to leverage its conversational style, real-time knowledge access, and less-constrained responses.
Transform textbook chapters into engaging, evidence-based lectures with slides. Guides instructors through learning outcomes, narrative design, active learning activities, and Quarto reveal.js slide creation.
This skill should be used when facing long-context tasks, processing large documents, handling multi-file analysis, aggregating information across many sources, answering questions requiring hierarchical reasoning, or when context length would cause "context rot" degradation. Triggers on phrases like "analyze all files", "process this large document", "aggregate information from", "search across the codebase", or tasks involving 10+ files or 50k+ tokens of input.
Provides architectural guidance for data lake design including partitioning strategies, storage layout, schema design, and lakehouse patterns. Activates when users discuss data lake architecture, partitioning, or large-scale data organization.
Meta-audit skill for spellbook development. Spawns parallel subagents to factcheck docs, optimize instructions, find token savings, and identify MCP candidates. Produces actionable report.
RAN fault detection and automated troubleshooting with cognitive consciousness, predictive failure analysis, and autonomous root cause identification. Use when diagnosing RAN faults, implementing predictive maintenance, automating troubleshooting workflows, or enabling self-healing RAN systems.
Creates hands-on student exercises and practice activities for learning prompt engineering. Use when the user asks to create student activities, practice exercises, or hands-on learning tasks. Generates exercises with examples, solutions, and differentiation.
When the user asks about [TRIGGER WORDS], wants to [ACTION], or needs help with [TOPIC], use this skill to provide [CAPABILITY]
Research-backed skill creation workflow with automated firecrawl research gathering, multi-tier validation, and comprehensive auditing. Use when "create skills with research automation", "build research-backed skills", "validate skills end-to-end", "automate skill research and creation", needs 8-phase workflow from research through final audit, wants firecrawl-powered research combined with validation, or requires quality-assured skill creation following Anthropic specifications for Claude Code.
This skill should be used when the user asks to review, consolidate, organize, or clean up memories. Triggers on requests like "review what you remember," "consolidate my memories," "what patterns do you notice," "organize your memory," "perform memory maintenance," or "clean up old memories." Also use proactively during long sessions to maintain memory hygiene and prevent context overload.
Expert guidance for Claude's memory_user_edits tool. Helps users understand how to effectively use memory edits for persistent facts across conversations. Key insight - memory edits work for FACTS, not BEHAVIORS. Triggers on memory-related questions, "remember", "forget", or memory_user_edits tool usage.
Example skill - Claude will autonomously use this based on the description. Describe what this skill does and when to use it.
Style conventions for writing entity DescriptionShort templates in mansion.rec. Use when adding or editing entities in data/worlds/mansion.rec to ensure consistent prose flow in /look output. Covers capitalization rules and punctuation for top-level entities vs container contents.
Skill creation guidelines and protocols for high-fidelity, token-efficient specialized capabilities. Provides routing patterns, component selection criteria, and skill structure templates. Includes progressive disclosure patterns for routing vs reference separation. Scope: skill creation, skill structure, routing logic, template patterns. Excludes: agent creation, command creation (handled by component-specific skills). Triggers: skill, create a skill, edit skill, validate skill, new skill.