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Compose a morning digest combining local weather, news for the user's interest topic, a structured summary, and a memory note.
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
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。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/TokenRhythm/opensquilla --skill meta-scheduled-morning-digestコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか？SkillsMP が現在取得できるファイルをダウンロードできます。
Query scholarly metadata and the web through Crossref, Brave, Tavily, and DuckDuckGo with a single CLI surface. Trigger when the user asks for research search, fact lookup, source discovery, or engine comparison. Results retain DOI, publication year, and authors when supplied by Crossref, then deduplicate by DOI, arXiv ID, or normalized URL. API-key engines gate themselves on the relevant environment variable; Crossref and DuckDuckGo need no key.
Deterministic OpenRouter image generation adapter for Nano Banana Pro / Gemini image models. Use as skill_exec when a meta-skill needs local image files and structured IMAGE_READY records without spawning an LLM agent.
Generate or edit a single image via OpenRouter (google/gemini-3.1-flash-image-preview by default). Accepts a text prompt and optional --input-image for image-to-image editing. Trigger when the user asks for an AI image, illustration, concept art, product render, or wants to modify an existing image.
SOC 職業分類に基づく
SKILL.md を表示中
| name | meta-scheduled-morning-digest |
| description | Compose a morning digest combining local weather, news for the user's interest topic, a structured summary, and a memory note. |
| kind | meta |
| meta_priority | 40 |
| always | false |
| triggers | ["晨报","morning digest","每日简报"] |
| provenance | {"origin":"opensquilla-original","license":"Apache-2.0"} |
| composition | {"steps":[{"id":"weather","skill":"weather","with":"[Truncated]"},{"id":"news","skill":"multi-search-engine","with":"[Truncated]"},{"id":"digest","skill":"summarize","depends_on":"[Truncated]","with":"[Truncated]"},{"id":"memorize","kind":"tool_call","tool":"memory_save","tool_allowlist":"[Truncated]","depends_on":"[Truncated]","tool_args":"[Truncated]"}]} |
Pulls today's weather and news on a topic, summarizes them, and records
the digest in long-term memory for later recall. The MVP runs once per
invocation; recurring scheduling is left to the host (cron skill or
external scheduler) and is intentionally out of scope here.
Have the LLM call weather, then multi-search-engine, summarize, and
finally memory_save manually.
