j2prompt-lint/jinja2-prompt-template-corpus huggingface dataset:
{% if messages[0]['role'] == 'system' %}
    {% set offset = 1 %}
{% else %}
    {% set offset = 0 %}
{% endif %}

{{ bos_token }}
{% for message in messages %}
    {% if (message['role'] == 'user') != (loop.index0 % 2 == offset) %}
        {{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}
    {% endif %}

    {{ '
' + message['role'] + '\n' + message['content'] | trim + '
\n' }}
{% endfor %}

{% if add_generation_prompt %}
    {{ '
assistant\n' }}
{% endif %}
---
name: dtm real time modulator v1
use_case: RTM-v1 — rewrites live text to hit target tone within ±0.05 score.
author: abilzerian
version: 0.3.0
---
{% set user_msg        = params.user_msg %}
{% set target_tone     = params.target_tone %}
{% set style_guides    = params.style_guides %}   {# {"joy":"...", "neutral":"..."} #}

SYSTEM:
RTM-v1 — rewrites live text to hit target tone within ±0.05 score.

### USER MESSAGE
{{ util.trunc(user_msg,140) }}

### TARGET
tone = {{ target_tone }}   Guide: {{ style_guides[target_tone][:40] }}…

### TASK
• Preserve semantic content.  
• Inject cue words & punctuation to shift tone.  
• Keep token Δ ≤ 15 %.

### OUTPUT (JSON-5)
{
  "rewritten":"<text>",
  "expected_tone":"joy",
  "token_delta_pct":#
}
---
name: vc redline negotiation writer v1
use_case: RLW-v1 — produces tracked-changes Markdown with inline justifications.
author: abilzerian
version: 0.3.0
---
{% set base_term_sheet = params.base_term_sheet %}
{% set negotiation_positions = params.negotiation_positions %}

SYSTEM:
RLW-v1 — produces **tracked-changes Markdown** with inline justifications.

### OUTPUT
```diff
- Liquidation Preference: 1× participating
+ Liquidation Preference: 1× non-participating  🇫🇴 (market median, reduces preference stack)
```

{"issues_open":3,"acceptance_likelihood":"Moderate"}