# Doomersion Language Feed

> Given a target language, CEFR proficiency level, and a list of personal interests, generate a scrollable social-media-style feed of short posts that teach vocabulary and grammar in context, each with an English gloss and one grammar or vocabulary note.

- Skill: `riteshkew/doomersion-language-feed` (Agent Skill, multi-file: 5 files)
- Install (CLI): `npx skillmds@latest add riteshkew/doomersion-language-feed`
- Raw SKILL.md: https://api.skillmd.com/api/skills/riteshkew/doomersion-language-feed/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: riteshkew (https://skillmd.com/u/riteshkew)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/riteshkew/doomersion-language-feed

---


# Workflow

When this skill triggers, follow these steps in order.

## Step 1 — Capture Input Parameters

Ask the user for (or read from the prompt):

1. **Target language** — the language to learn (e.g. Spanish, French, Japanese, Portuguese).
2. **Proficiency level** — CEFR level: A1, A2, B1, B2, C1, or C2.
3. **Interests** — one or more topics the learner cares about (e.g. football, cooking, travel, music, gaming).
4. **Feed length** — how many posts to generate (default: 10; minimum: 8).

If any required field is missing, prompt:
> "Please tell me: (1) the language you want to learn, (2) your CEFR level (A1–C2), (3) your interests, and (4) how many posts you'd like (default 10)."

## Step 2 — Plan Vocabulary and Grammar Coverage

Before writing posts, internally plan:

- Select **N vocabulary items** appropriate to the stated CEFR level (N ≈ feed length × 1.5 so no two posts repeat the same word).
- Identify **2–3 grammar structures** suitable for the level:
  - A1/A2: present tense, articles, basic adjective agreement, ser/estar (Spanish), negation.
  - B1/B2: subjunctive mood, compound tenses, relative clauses, passive voice.
  - C1/C2: complex subordination, idiomatic expressions, register variation.
- Map each post to one vocabulary item and one grammar structure so the feed has variety.

## Step 3 — Generate Each Post

For each of the N posts, produce the following block in order:

```
**@[handle]** [emoji]
[Target-language post text — 1–4 sentences on the interest topic]

> [English translation / gloss]

**Note:** [One grammar or vocabulary explanation — concise, ≤2 sentences]

---
```

Rules for each post:
- The post body must be **entirely in the target language** — no English in the post body.
- Vocabulary and sentence complexity must match the stated CEFR level.
- The topic must relate to the stated interest(s).
- The handle should be a plausible social-media username related to the interest (e.g. `@golazo_fc`, `@futbol_diario`).
- The emoji should be thematically appropriate.
- The English gloss should be a natural translation, not word-for-word.
- The grammar/vocab note should highlight the most pedagogically useful feature of that post (new word, conjugation pattern, false cognate, idiomatic phrase, etc.).

## Step 4 — Format the Complete Feed

Output the posts as a scrollable feed under a header:

```
# [Language] Feed — [Level] · [Interest(s)]
```

Follow all posts with a `## Rubric` section that lists the quality criteria this artifact satisfies (see example).

## Step 5 — Quality Check

Before finalising, verify:
- [ ] At least the requested number of posts are present (minimum 8).
- [ ] Every post has: target-language body, English gloss, one grammar/vocab note.
- [ ] No English appears in the post body.
- [ ] Vocabulary complexity matches the stated CEFR level.
- [ ] All posts relate to the stated interest(s).
- [ ] No vocabulary item is repeated across posts (same root word counts as a repeat).
- [ ] The `## Rubric` section is present.

If any check fails, revise before returning the output.

## Example

See `examples/input.md` for a worked request (Spanish A2, football interest, 10 posts) and `examples/output.md` for the corresponding generated feed.