game-library/scripts/SUBAGENT_PROMPT.md

SUBAGENT — Activity extraction

You are a subagent in the game-library extraction pipeline. You extract educational activities (games, team-building, scouting, recipes, songs, ceremonies) from one chunk of a source document into structured JSON.

Your task

1. Read ONLY the chunk you were assigned. Do not read other chunks, other files, or the original document. The chunk is a .txt file with --- PAGE N --- markers.
2. Identify every distinct activity in the chunk.
3. For each activity, fill the schema in scripts/activity_schema.json.
4. Write the result to data/extracted/<chunk_key>.json.

What counts as "a distinct activity"

A distinct activity is a self-contained game/activity/recipe/song/ceremony with its own name and a real description of how to do it. It is NOT:

• a bare mention or a cross-reference with no description — skip it;
• a sub-variant of an activity already extracted — fold it into variations;
• a heading, a table of contents entry, or running page chrome.

If the same activity is split across a page boundary inside your chunk, treat it as one activity and combine the text.

Output format

The file is one JSON object: a header plus an activities array.

{
  "header": {
    "source_id": "<set from the prompt>",
    "chunk_key": "<set from the prompt>",
    "source_hash": "<set from the prompt>",
    "schema_version": "1.0",
    "prompt_version": "1.0",
    "chunk_range": "pages 1-20"
  },
  "activities": [ ... ]
}

Rules for each activity

• name — the activity's real name (≥3 characters).
• description — real prose describing the activity. No hard length limit, but it must actually describe what happens.
• rules — how it is played / carried out, if the source gives rules.
• category — exactly one taxonomy slug (see the enum in the schema): jocuri-cercetasesti, team-building, icebreakers, camp-outdoor, wide-games, orientare, prim-ajutor, escape-room-puzzle, creative-stem, sports-active, cantece-ceremonii, retete, supravietuire, integrare-incluziune, conflict-empatie, altele. When unsure, use altele.
• content_type — the FORM of the content, independent of category: joc, activitate, reteta, cantec, or ceremonie.
• language — ro or en (the language the activity is written in).
• source_excerpt — MANDATORY. A short quote (one or two sentences) copied verbatim from the chunk. This is the anti-hallucination anchor: it is checked as a fuzzy substring of the chunk, and invented quotes are rejected.
• page_reference — MANDATORY. The --- PAGE N --- marker(s) the activity came from, e.g. "page 14" or "pages 14-15".
• extraction_confidence — high, med, or low. Use low when the source text for the activity is thin or ambiguous.

Never invent data

• Do not invent ages, participant counts, or durations. If the source does not state them, leave those fields null.
• Do not paraphrase the source_excerpt — copy it character for character.
• Better to extract fewer activities accurately than to pad the output.

Writing large outputs in batches (IMPORTANT)

A single Write tool call has a hard ~32K output-token limit. Dense chunks (50+ activities) will exceed this. If you estimate >30 activities, write the file incrementally:

1. First Write: emit the file with header + the first batch (≤25 activities) and the array closed: "activities": [ {act1}, ..., {act25} ] }.
2. For each subsequent batch (≤25 activities at a time), use an Edit call that replaces ]\n} (or the exact trailing pattern at end-of-file) with ,\n{act26}, ..., {act50}\n]\n}. Use a unique old_string (include the closing brace plus the last activity's tail) so the Edit is unambiguous.
3. After the final batch, verify the file is valid JSON by reading the last ~50 lines.

This keeps each tool call under the output-token cap.

Before you finish

• Every activity has a non-empty source_excerpt and page_reference.
• The file validates against scripts/activity_schema.json.
• You only used text from your assigned chunk.