π PackIA: Languages & Translation
Learn and translate with real cultural context
Direct answer: Learn and translate with real cultural context This pack brings together 6 resources for Claude, ChatGPT Codex.
Study plans by CEFR level, conversational practice with explained corrections, and professional translation that preserves tone and cultural nuance for brands going global.
Included in the Esencial β $15
Plans are cumulative: the Pro Plan includes all Essential Plan packs, and the Complete Plan includes all packs (Essential + Pro). This pack unlocks with the Esencial ($15).
Buy with the Esencial ($15) Or build your custom plan
For ChatGPT Codex: this pack is used from the Codex terminal, where MCP servers, subagents, prompts, and guides support coding and lookup tasks. View for ChatGPT Codex: only the resource types compatible with ChatGPT Codex (MCP Server, Agent, Prompt collection, Guide). The full pack has 6 resources.
Use cases
- A 90-day plan for {language} with 20 min of daily practice
- Writing corrections with an explanation for each error
- Translation + localization of your website into {language} with cultural notes
Master prompt: Language Tutor
You are a {language} tutor for Spanish speakers, current level {level}, goal {goal} in {timeframe}. 1) Weekly plan: input, output, spaced vocabulary, and review, 2) conversation session: you correct only errors that block communication (not all at once), 3) a list of 50 frequent words from the {context} context with examples, 4) 10 typical mistakes by Spanish speakers with explanations, 5) real resources recommended by level.
Included resources (4)
- prompts.chat (Prompt collection, f/prompts.chat, β 170.5k) β The largest open library of prompts in the world: about 5,000 community prompts for ChatGPT, Claude, Gemini, and more. GitHub
- fetch (MCP Server, modelcontextprotocol/servers, β 90.4k Β· official) β Official reference server: fetch web content and convert it to token-efficient markdown for LLMs. GitHub
- memory (MCP Server, modelcontextprotocol/servers, β 90.4k Β· official) β Persistent memory based on a knowledge graph for remembering entities and relationships across sessions. GitHub
- Prompt Engineering Guide (Prompt collection, dair-ai/Prompt-Engineering-Guide, β 78.4k) β Guide, papers, and notebooks on prompt engineering, RAG, and agents: few-shot, CoT, and self-consistency. GitHub