Use when optimizing website performance. Run Google Lighthouse audits via MCP to measure metrics, identify bottlenecks, and iterate on improvements.

Optimize LinkedIn profile sections for maximum impact and conversions. Use when the user wants to improve their LinkedIn headline, about section, experience descriptions, or overall profile strategy.

iOS 26 Liquid Glass expert. Use when user asks about Liquid Glass implementation, SwiftUI glassEffect, migration from iOS 17/18, morphing animations, GlassEffectContainer, or wants to generate glass-style UI components. Covers code generation, troubleshooting, HIG compliance, accessibility, performance optimization, and cross-platform differences.

Optimize documentation for AI coding assistants and LLMs. Improves docs for Claude, Copilot, and other AI tools through c7score optimization, llms.txt generation, question-driven restructuring, and automated quality scoring. Use when asked to improve, optimize, or enhance documentation for AI assistants, LLMs, c7score, Context7, or when creating llms.txt files. Also use for documentation quality analysis, README optimization, or ensuring docs follow best practices for LLM retrieval systems.

Optimize prompts for better LLM outputs through systematic analysis and refinement

Audits architectural patterns against best practices (MCP Ref, Context7, WebSearch). Maintains patterns catalog, calculates 4 scores, creates refactor Stories via ln-220. Use when user asks to: (1) Check architecture health, (2) Audit patterns before refactoring, (3) Find undocumented patterns in codebase.

Comprehensive guide to load balancing algorithms, health checks, and high-availability patterns.

Audit a skill against Anthropic skill-creator standards

When a mode needs to read, create, or write (log progress) to a log file.

logos-reader-architect

Migrate Logseq graphs to Obsidian vaults. Use when the user wants to convert their Logseq notes to Obsidian format, migrate from Logseq, or mentions both Logseq and Obsidian in a migration context. Handles property conversion, admonition blocks, block references, journal renaming, collapsed states, numbered lists, and image syntax. Designed for Claude Code usage from within the user's Logseq graph folder.

cosmosdb-best-practices

**Version 0.1.0**

Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.

Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.

Parallel/distributed computing. Scale pandas/NumPy beyond memory, parallel DataFrames/Arrays, multi-file processing, task graphs, for larger-than-RAM datasets and parallel workflows.

Fast DataFrame library (Apache Arrow). Select, filter, group_by, joins, lazy evaluation, CSV/Parquet I/O, expression API, for high-performance data analysis workflows.

Analyze an existing PostgreSQL database to identify tables that would benefit from conversion to TimescaleDB hypertables

Comprehensive guide for migrating PostgreSQL tables to TimescaleDB hypertables with optimal configuration and performance validation

Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cognitive systems.

Execute Codex CLI for code analysis, refactoring, and automated code changes. Use when you need to delegate complex code tasks to Codex AI with file references (@syntax) and structured output.

Comprehensive guide to PostgreSQL migrations - common errors, generated columns, full-text search, indexes, idempotent migrations, and best practices for database schema changes

This skill enriches vague prompts with targeted research and clarification before execution. Should be used when a prompt is determined to be vague and requires systematic research, question generation, and execution guidance.

Track workouts, stats, progress over time. Identify improvement areas, plateaus, rest/recovery needs, peak performance timing, injury risk.

I'd like to improve our collaboration by providing a few agents that would help

Design and optimize pricing strategies for SaaS products including tiering, packaging, value metrics, and experimentation. Use when setting initial pricing, optimizing conversion, expanding revenue, or when users ask about pricing strategy, monetization, or revenue optimization.

Optimize content for search engines with keyword analysis, readability scoring, meta descriptions, and competitor comparison. Use this when users want to improve SEO, optimize blog posts, or analyze content for search performance.

**Date:** Post-October 29, 2025 (After skill implementation)

Transform text-heavy slides into visual storytelling. Suggest layout improvements, icon usage, and data visualization.

<!-- SUPERSEDED: See shipped version at skills/utility-mermaid-diagrams/SKILL.md -->

Creates user-facing release notes that communicate new features, improvements, and fixes in clear, benefit-focused language. Use when shipping updates to communicate changes to users, customers, or stakeholders.

Audit a website for SEO issues and track improvements over time. Use when analyzing website SEO performance.

Generate a persistent .nexus-map/ knowledge base that lets any AI session instantly understand a codebase's architecture, systems, dependencies, and change hotspots. Use when starting work on an unfamiliar repository, onboarding with AI-assisted context, preparing for a major refactoring initiative, or enabling reliable cold-start AI sessions across a team. Produces INDEX.md, systems.md, concept_model.json, git_forensics.md and more. Requires shell execution and Python 3.10+. For ad-hoc file queries or instant impact analysis during active development, use nexus-query instead.

Precise, instant code structure queries for active development — answer 'who depends on this interface before I refactor it', 'how many modules break if I change this', 'what is the real impact radius of this feature change', 'which module is the true high-coupling hotspot in this legacy codebase'. Essential before any interface change, continuous refactoring task, sprint work estimation, or when navigating unfamiliar or large legacy codebases. Requires Python 3.10+ and shell. Use nexus-mapper instead when building a full .nexus-map/ knowledge base.

Use before editing any file in a brownfield project. Runs risk check and blast radius before making any change.

Use this skill when the request is non-trivial and should be planned before editing code.

Use this skill when planning must prioritize correctness and risk control over speed.

Refactor GRACE-governed code safely: rename, move, split, merge, or extract modules while keeping contracts, graph, verification, and semantic markup synchronized.

CLI modernization and hooks system enhancement for claude-flow v3. Implements interactive prompts, command decomposition, enhanced hooks integration, and intelligent workflow automation.

Unify 6+ memory systems into AgentDB with HNSW indexing for 150x-12,500x search improvements. Implements ADR-006 (Unified Memory Service) and ADR-009 (Hybrid Memory Backend).

Achieve aggressive v3 performance targets: 2.49x-7.47x Flash Attention speedup, 150x-12,500x search improvements, 50-75% memory reduction. Comprehensive benchmarking and optimization suite.

chain-of-verification

>

>

>

|-

Add a Civilization-style ceremonial quote when a substantial task is truly complete. Use this whenever the user or agent is wrapping up a real deliverable such as a feature, refactor, analysis, design doc, process change, report, or writing task, even if they do not explicitly ask for a quote; skip short replies, tiny fixes, and unfinished work.

Track and analyze Amazon keyword rankings. Set up rank monitoring workflows, interpret ranking changes, and develop strategies to improve organic search position.

Return rate reduction — root cause analysis, listing accuracy, packaging improvements, size guides