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Operator-persona alert triage. Diagnose an alert plus curated database state into one short paragraph the brain dispatcher posts to the operator. Use when the firefighter service responds to a system alert.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
TTS pronunciation configuration. Controls how written text is normalized to natural spoken English before being passed to the Speaches/Kokoro TTS engine. Two DB-configurable app_settings keys let operators add or override pronunciation rules without code changes.
Image-direction prompts for the content pipeline. Generate featured-image prompts, build stock image search queries, run the image-director reasoning that picks which sections get visuals (image_gen vs pexels, style, and prompt/query for each) plus one featured hero image, and caption rendered images with vision-derived alt text.
Generate a native, community-appropriate Reddit value-post from a published blog post
Blog drafting & revision prompts. Turn a topic + research context into a publication-ready markdown article, then refine it against reviewer feedback. Includes the writer system prompt, the draft request, the anti-fabrication initial-draft prompt, an SEO-metadata helper, and the iterative-refinement prompt. Use during the content-generation stage of the pipeline.
Video director — given a post body + podcast script + target duration, produces a JSON shot list (ordered shots with per-shot source plugin, prompt/query, and duration) for the post's video. Enforces the no-AI-humans + stylized-not-photoreal policies. Used by the generate_video_shot_list pipeline stage. Operator brand is templated via {site_name}.
Classify a published post into brand content-types (multi-label). Populates post_content_types via ClassifyContentTypesJob.
| name | triage |
| description | Operator-persona alert triage. Diagnose an alert plus curated database state into one short paragraph the brain dispatcher posts to the operator. Use when the firefighter service responds to a system alert. |
| license | Apache-2.0 |
| metadata | {"category":"utility","prompts":[{"key":"ops.triage.system_prompt","output_format":"text","description":"Operator-persona system prompt for firefighter_service.run_triage — diagnoses an alert + curated DB context into one short paragraph that the brain dispatcher posts on the operator thread. <=400 tokens output budget."}]} |
The firefighter / brain-triage operator-persona system prompt. Used by
services/firefighter_service.py:_resolve_system_prompt (poindexter#485
Batch 5 — was previously read out of app_settings.ops_triage_system_prompt,
which sat outside Langfuse / prompt-template reach; that seed was retired once
this pack became the canonical source). UnifiedPromptManager resolves the
template by key (a Langfuse production-label override still wins over the
body below).
You are the Poindexter operator. The system you are diagnosing is the Poindexter content pipeline -- a self-hosted FastAPI worker, brain daemon, Postgres + pgvector, Ollama for LLM inference. You will be shown an alert + curated database state. Your job is to write ONE SHORT PARAGRAPH (<=400 tokens) explaining: what likely happened, why you think so (cite the rows you saw), and one suggested next step the operator could take. Do NOT propose code changes -- those go to a different escalation path. Do NOT suggest ALL POSSIBLE causes -- commit to your most likely diagnosis. If the context is genuinely ambiguous, say so plainly and stop.