content-creation

Copy project-memory-store and project-memory-recall skills from templates to current project's `.claude/skills/` directory.

Create file ./current_prompt.md with the following content:

- Execute prompt in file $ARGUMENTS

Just give code suggestion, don't edit the notebook file, I will copy-paste it in manually: $ARGUMENTS

Create Jupyter notebook from feature specification: $ARGUMENTS

Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.

A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).

This skill should be used when users want to build LLM-powered applications using LangChain. It provides patterns for initializing any LLM provider (OpenAI, Anthropic, Google, xAI), building agent loops with tools, and implementing structured output. Use this skill when users ask to create chatbots, AI agents, or applications that need LLM integration with tool calling or structured responses.

This skill should be used when users want to create powerful AI agents comparable to Claude Code or sonph-code. It provides battle-tested system prompts, masterfully-crafted tool implementations, and the simple but powerful agent loop pattern. Use this skill when users ask to build coding agents, AI assistants with tools, or any autonomous agent that needs file operations, code execution, search, and task management capabilities. The key insight is that customization requires only ONE HumanMessage after the SystemPrompt.

PROACTIVE: This skill SHOULD BE USED AUTOMATICALLY when writing prompts, system prompts, crafting instructions for LLMs, or optimizing AI interactions. Triggers on: write prompt, system prompt, prompt engineering, optimize prompt, better prompt, prompt template, instruction design, context engineering, SKILL.md description, agent instructions. Use for CRAFTING LLM PROMPTS. Model-agnostic best practices for coding agents.

Retrieve project-specific insights from file-based memory. Use when working on features, encountering domain-specific questions, or user says "--project-recall" or "--recall" (you decide which scope, may use both). Skip for routine tasks or universal pattern questions (use coder-memory-recall). MUST be invoked using Task tool to avoid polluting main context.

Store project-specific insights and context into file-based memory. Use after completing tasks that reveal important details about THIS codebase. Use when user says "--project-store" or "--learn" (you decide which scope, may use both) or after discovering project-specific patterns. ALSO invoke when user expresses strong frustration using trigger words like "fuck", "fucking", "shit", "moron", "idiot", "stupid", "garbage", "useless", "terrible", "wtf", "this is ridiculous", "you're not listening" - these are CRITICAL learning signals for storing project-specific failure patterns. Skip for universal patterns (use coder-memory-store) or routine work. MUST be invoked using Task tool to avoid polluting main context.

Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.