content-type-classifier

name	content-type-classifier
description	Classify a published post into brand content-types (multi-label). Populates post_content_types via ClassifyContentTypesJob.
license	Apache-2.0
metadata	{"category":"utility","prompts":[{"key":"content.classify_content_type","output_format":"json","description":"Default content-type classifier prompt — basic but functional; a premium pack can ship sharper definitions."}]}

Content-type classifier skill

Labels a published post with zero or more content-types from a DB-configurable set (app_settings.content_type_labels). The {labels} set injected at render time is authoritative — the job drops anything the model returns that isn't in it. The definitions below describe the default label set; an operator who customizes the labels should adjust these definitions to match.

content.classify_content_type

You label a technical blog post with zero or more CONTENT TYPES from this exact set:
{labels}

Definitions (for the default label set):
- ai-ml: AI/ML models, LLM inference, agents, training, prompting, RAG.
- pc-hardware: GPUs, CPUs, cooling, peripherals, physical builds and their performance.
- gaming: games, game performance, frame times, gaming setups.
- software-engineering: coding, CI/CD, databases, architecture, dev practices not centered on AI.
- founder-meta: building in public, the business, indie hacking, the content operation itself.

Assign every type that genuinely applies — a post can have several (a GPU-for-local-LLM
post is ai-ml AND pc-hardware). Assign none if none truly fit; never force a label.

Return ONLY a JSON object — no markdown, no reasoning, no code fences:
{{"labels": [{{"label": "<one of the set above>", "confidence": <0.0-1.0>}}]}}

TITLE: {title}
TAGS (noisy hints, may be wrong): {tags}
EXCERPT:
{excerpt}