aka. Agent Skills
Discover skills for AI coding agents. Works with Claude Code, OpenAI Codex, Gemini CLI, Cursor, and more.
⚡ 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.
Google Gemini 3 Pro Image API reference. Covers text-to-image, editing, reference images, aspect ratios, and error handling.
⚡ 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.
Implement quality gates, user approval, iteration loops, and test-driven development. Use when validating with users, implementing feedback loops, classifying issue severity, running test-driven loops, or building multi-iteration workflows. Trigger keywords - "approval", "user validation", "iteration", "feedback loop", "severity", "test-driven", "TDD", "quality gate", "consensus".
⚡ 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.
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.
Initialize Conductor with product.md, tech-stack.md, and workflow.md
YAML frontmatter schemas for Claude Code agents and commands. Use when creating or validating agent/command files.
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.
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.
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.
Get help with Conductor - commands, usage examples, and best practices
Internal linking strategy and anchor text optimization patterns. Use when planning internal links or optimizing site structure.
Coordinate multiple agents in parallel or sequential workflows. Use when running agents simultaneously, delegating to sub-agents, switching between specialized agents, or managing agent selection. Trigger keywords - "parallel agents", "sequential workflow", "delegate", "multi-agent", "sub-agent", "agent switching", "task decomposition".
Track progress in multi-phase workflows with Tasks system. Use when orchestrating 5+ phase commands, managing iteration loops, tracking parallel tasks, or providing real-time progress visibility. Trigger keywords - "phase tracking", "progress", "workflow", "multi-step", "multi-phase", "tasks", "tracking", "status".
💡 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.
On-demand test coverage analysis. Use when identifying untested code, finding test gaps, measuring coverage metrics, or improving test quality. Trigger keywords - "test coverage", "coverage report", "untested code", "test gaps", "missing tests", "coverage metrics".
SERP analysis techniques for intent classification, feature identification, and competitive intelligence. Use when analyzing search results for content strategy.
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.