spring-ai-movie-poster-copywriter

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Build a movie-poster one-line recommendation pipeline that takes movie title and description, gathers context from Douban and encyclopedia pages, and generates 3-5 Chinese recommendation lines with exactly 12 Chinese characters each. Use when Codex needs to implement crawler-to-prompt workflows, output validation, and recommendation generation APIs.

microwind By microwind schedule Updated 3/2/2026
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name: spring-ai-movie-poster-copywriter description: Build a movie-poster one-line recommendation pipeline that takes movie title and description, gathers context from Douban and encyclopedia pages, and generates 3-5 Chinese recommendation lines with exactly 12 Chinese characters each. Use when Codex needs to implement crawler-to-prompt workflows, output validation, and recommendation generation APIs.

Spring AI Movie Poster Copywriter

Workflow

  1. Collect request payload:
  • Require movieTitle and movieDescription.
  • Accept optional year, genre, and tone.
  1. Retrieve context:
  • Query Douban and encyclopedia pages using search first, then fetch detail pages.
  • Extract only concise facts: genre, setting, themes, cast keywords, awards, and plot hooks.
  • Ignore user-generated long comments and spoiler-heavy content.
  1. Normalize context:
  • Convert raw HTML into a compact context block under 1200 Chinese characters.
  • Keep only deduplicated facts and keywords.
  • Store retrieval source URLs for traceability.
  1. Generate candidates:
  • Load prompt templates from references/prompt-template.md.
  • Ask model to generate 8-10 candidates first.
  • Keep temperature moderate (0.6 to 0.8) to balance creativity and control.
  1. Validate and filter:
  • Run scripts/validate_slogans.py against candidate lines.
  • Keep final 3-5 lines that satisfy length and uniqueness checks.
  • If fewer than 3 survive, regenerate with stricter prompt constraints.
  1. Return API response:
  • Follow references/output-schema.json.
  • Return final lines plus evidence URLs from Douban/encyclopedia retrieval.

Guardrails

  • Respect robots and rate limits; cache page fetches by URL.
  • Avoid sensitive, discriminatory, or explicit wording in slogans.
  • Keep language punchy and cinematic; avoid spoilers and plot twists.
  • Always validate line length in code, not by model assumption.

Resources

  • references/prompt-template.md: system/user prompt templates.
  • references/source-extraction.md: context extraction field rules.
  • references/output-schema.json: API output contract.
  • scripts/validate_slogans.py: strict 12-Chinese-character validator.
Install via CLI
npx skills add https://github.com/microwind/design-patterns --skill spring-ai-movie-poster-copywriter
Repository Details
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