Deep code investigation with claudemem. v3.0.0: ENRICHMENT MODE - hooks enhance native tools with AST context instead of blocking. Grep/Glob/Bash searches receive claudemem results while running normally.
Use when analyzing architecture and system design. Find design patterns, map layers, identify core abstractions via PageRank. Uses claudemem AST structural analysis for efficient architecture investigation.
CRITICAL - Guide for using Claudish CLI ONLY through sub-agents to run Claude Code with OpenRouter models (Grok, GPT-5, Gemini, MiniMax). NEVER run Claudish directly in main context unless user explicitly requests it. Use when user mentions external AI models, Claudish, OpenRouter, or alternative models. Includes mandatory sub-agent delegation patterns, agent selection guide, file-based instructions, and strict rules to prevent context window pollution.
Use when integrating detective skills across plugins. Maps agent roles to appropriate detective skills (developer → developer-detective, architect → architect-detective). Reference this to connect agents with claudemem investigation capabilities.
⚡ Debugging skill. Best for: 'why is X broken', 'find bug source', 'root cause analysis', 'trace error', 'debug issue'. Uses claudemem AST with context command for efficient call chain analysis.
⚡ PRIMARY SKILL for: 'how does X work', 'investigate', 'analyze architecture', 'trace flow', 'find implementations'. PREREQUISITE: code-search-selector must validate tool choice. Launches codebase-detective with claudemem INDEXED MEMORY.
⚡ Implementation analysis skill. Best for: 'how does X work', 'find implementation of', 'trace data flow', 'where is X defined', 'find all usages'. Uses claudemem AST with callers/callees for efficient code tracing.
💡 Bulk file read optimizer. Suggests semantic search alternatives when reading multiple files. Helps reduce token usage by using claudemem's ranked results instead of sequential file reads.
⚡ Test analysis skill. Best for: 'what's tested', 'find test coverage', 'audit test quality', 'missing tests', 'edge cases'. Uses claudemem AST with callers analysis for efficient test discovery.
Highly autonomous SEO toolkit (~80% autonomy) with AUTO GATEs, self-correction loops, and multi-model validation. v1.5.1: Fixed hooks configuration - moved from inline plugin.json to hooks/hooks.json. Features E-E-A-T self-assessment, interactive /seo:start entry point, keyword research, content optimization, technical audits, and analytics integrations (GA4, GSC).
Interpret GA4 and GSC data with benchmarks, status indicators, and actionable insights
Content brief template and creation methodology for SEO-optimized content. Use when preparing briefs for writers or planning new content pieces.
On-page SEO optimization techniques including keyword density, meta tags, heading structure, and readability. Use when optimizing existing content or validating new content against SEO requirements.
Techniques for expanding seed keywords and clustering by topic and intent. Use when building keyword lists, planning content calendars, or identifying topic clusters for pillar content strategy.
Internal linking strategy and anchor text optimization patterns. Use when planning internal links or optimizing site structure.
Schema.org markup implementation patterns for rich results. Use when adding structured data to content for enhanced SERP appearances.
SERP analysis techniques for intent classification, feature identification, and competitive intelligence. Use when analyzing search results for content strategy.
Technical SEO audit methodology including crawlability, indexability, and Core Web Vitals analysis. Use when auditing pages or sites for technical SEO issues.
Universal development assistant with documentation, deep research, interviews, and DevOps guidance. v1.21.0: UI vision - ui-engineer uses Gemini 3 Pro Preview for visual analysis, new dev:ui-analyse and dev:ui-implement skills. 36 skills.
No verified skills in this plugin.
Context-Driven Development workflow inspired by Gemini Conductor. Full-featured implementation with TDD workflow (Red/Green/Refactor), Phase Completion Protocol with verification reports, Git Notes audit trail, comprehensive styleguides (general, TypeScript, JavaScript, HTML/CSS), emergency procedures, and deployment workflow. v2.0.1: Fixed command descriptions for autocomplete display.
Create, implement, and review Claude Code agents and commands with multi-model validation, LLM performance tracking, and session-based artifact isolation. v1.4.0: Debug mode - record all tool invocations, skill activations, and agent delegations to JSONL for analysis. Per-project config via /agentdev:debug-enable. Full-cycle workflow: design → review → implement → iterate.
Enable, disable, and manage debug mode for agentdev sessions. Records all tool invocations, skill activations, hook triggers, and agent delegations to JSONL. Use when debugging agent behavior, optimizing workflows, or analyzing session performance.
YAML frontmatter schemas for Claude Code agents and commands. Use when creating or validating agent/command files.
XML tag structure patterns for Claude Code agents and commands. Use when designing or implementing agents to ensure proper XML structure following Anthropic best practices.
Professional video editing toolkit with FFmpeg operations, Whisper transcription, and Apple Final Cut Pro project generation. Features intelligent video analysis, automated transcription with timing sync, FCPXML timeline creation with markers, multi-format export, and comprehensive validation.
FFmpeg fundamentals for video/audio manipulation. Covers common operations (trim, concat, convert, extract), codec selection, filter chains, and performance optimization. Use when planning or executing video processing tasks.
Audio/video transcription using OpenAI Whisper. Covers installation, model selection, transcript formats (SRT, VTT, JSON), timing synchronization, and speaker diarization. Use when transcribing media or generating subtitles.
AI image generation and editing using Google Gemini 3 Pro Image API (Nano Banana Pro). Simple Node.js CLI with markdown styles, batch generation, reference image support, and comprehensive error handling with retry logic.
Multi-model collaboration and blind voting. Run tasks across multiple AI models in parallel, collect independent votes (APPROVE/REJECT/ABSTAIN), and present aggregated verdicts. Features model preference memory, agent recommendations, and performance tracking.
No verified skills in this plugin.