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Found 77 Skills
CRITICAL - Guide for using Claudish CLI ONLY through sub-agents to run Claude Code with any AI model (OpenRouter, Gemini, OpenAI, local models). NEVER run Claudish directly in main context unless user explicitly requests it. Use when user mentions external AI models, Claudish, OpenRouter, Gemini, OpenAI, Ollama, or alternative models. Includes mandatory sub-agent delegation patterns, agent selection guide, file-based instructions, and strict rules to prevent context window pollution.
Comprehensive codebase research skill. Documents codebase as-is by spawning parallel sub-agents and synthesizing findings into research documents.
Novel chapter content creation, suitable for user requests such as "Write a chapter of a novel for me", "Continue the following content", "Generate XX plot", "Batch write web novel chapters", "Expand/rewrite this content", "Write me an XX plot", "Continue the novel", "Expand this content", "Rewrite this chapter", "Batch generate novel chapters", "Write an opening chapter", "Write a climax plot", "Novel content generation", "Help me write novel content", etc. It supports multiple modes such as single-chapter/multi-chapter batch generation, continuation, rewriting, and expansion. It automatically adapts to the rhythm of web novels, maintains consistency of characters and plot, and **automatically uses sub-Agents for parallel processing during batch generation, with each Agent responsible for a maximum of 3 chapters**
Review a single file or all files in a folder for data inconsistencies, reference errors, typos, and unclear terminology using parallel sub-agents
Active coordinator for building AI-powered side-gigs in 2025. Use when users want to build micro-niche products, validate business ideas, create MVPs, or launch profitable side businesses. This skill orchestrates sub-agents to execute market research, product design, business validation, and launch planning. Triggers include "help me build a side hustle," "validate my business idea," "find market opportunities," "build an AI product," or "launch a side-gig."
Use when you have 2+ tasks that Codex agents should execute. Runtime-native: Codex sub-agents when available, Codex CLI fallback otherwise. Handles file conflicts via merge/wave strategies. Triggers: "codex team", "spawn codex", "codex agents", "use codex for", "codex fix".
Plan and execute large refactor or rewrite efforts efficiently with parallel multi-agent analysis and implementation. Use when a user asks to refactor many files, split workstreams, analyze a target code area, and coordinate sub-agents with clear ownership and dependency-aware execution.
Explore a codebase for architectural friction, discover refactoring opportunities, and propose module-deepening refactors as GitHub issue RFCs. Uses friction-driven exploration and parallel sub-agents to design multiple interface alternatives. Use when user wants to improve architecture, find refactoring opportunities, consolidate coupled modules, reduce complexity, make code more testable, or review codebase health.
Plan-then-execute implementation against SPEC.md. Native single-thread loop, no sub-agents. On test or build failure, auto-invokes the backprop skill before retrying — a failed verification always considers whether a new §V invariant would prevent recurrence. Triggers when the user asks to build, implement, execute the spec, or tackle a specific §T task (`build §T.3`, `build --next`, `implement next task`, `run the build`). Expects SPEC.md to exist; if not, defers to the spec skill.
RLM-style large-codebase comprehension — build a mental map of any codebase by dispatching sub-agents to explore regions without bloating main context
Generate a unit testing framework for Qt projects. Includes complete dependencies, sub-Agents, and fixed scripts to generate the autotests testing framework with one click.
Research codebase comprehensively using parallel sub-agents to answer user questions. Use when the user asks to "research the codebase", "understand how X works", or "investigate Y".