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Manage article task queue - add, filter, update status, and track multi-language outputs
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/diegosouzapw/awesome-omni-skill --skill article-queue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。
Token-efficient tracking for AI orchestration. CLI-first for status updates (~50 tokens), agent fallback for complex ops (~1KB). Use when: updating task status, querying blockers, creating progress files, validating phases.
AshAi extension guidelines for integrating AI capabilities with Ash Framework. Use when implementing vectorization/embeddings, exposing Ash actions as LLM tools, creating prompt-backed actions, or setting up MCP servers. Covers semantic search, LangChain integration, and structured outputs.
This skill should be used when solving hard questions, complex architectural problems, or debugging issues that benefit from GPT-5 Pro or GPT-5.1 thinking models with large file context. Use when standard Claude analysis needs deeper reasoning or extended context windows.
SOC 職業分類に基づく
SKILL.md を表示中
| name | article-queue |
| description | Manage article task queue - add, filter, update status, and track multi-language outputs |
Manage .article_writer/article_tasks.json for article creation.
.article_writer/article_tasks.json.article_writer/authors.json.article_writer/schemas/article-tasks.schema.json.article_writer/article_tasks.backup.jsonSee references/schema-reference.md for fields.
{
"author": {
"id": "mwguerra",
"name": "MW Guerra",
"languages": ["pt_BR", "en_US"]
}
}
If author not specified, first author in authors.json is used.
{
"output_folder": "content/articles/2025_01_15_rate-limiting/",
"output_files": [
{
"language": "pt_BR",
"path": "content/articles/2025_01_15_rate-limiting/rate-limiting.pt_BR.md",
"translated_at": "2025-01-15T14:00:00Z"
},
{
"language": "en_US",
"path": "content/articles/2025_01_15_rate-limiting/rate-limiting.en_US.md",
"translated_at": "2025-01-15T16:00:00Z"
}
]
}
created_at: When task was added to queuewritten_at: When primary article was completedpublished_at: When article went liveupdated_at: Last modificationbun run "${CLAUDE_PLUGIN_ROOT}"/scripts/queue.ts status
articles.filter(a => a.author?.id === "mwguerra")
articles.filter(a =>
a.author?.languages?.includes("en_US")
)
article.status = "draft";
article.output_folder = "content/articles/2025_01_15_slug/";
article.output_files = [
{ language: "pt_BR", path: "...", translated_at: "..." }
];
article.written_at = new Date().toISOString();
article.updated_at = new Date().toISOString();
article.output_files.push({
language: "en_US",
path: "content/articles/.../article.en_US.md",
translated_at: new Date().toISOString()
});
pending → in_progress → draft → review → published
↓
archived
When adding tasks without author:
const authors = JSON.parse(await readFile(".article_writer/authors.json"));
const defaultAuthor = authors.authors[0];
task.author = {
id: defaultAuthor.id,
name: defaultAuthor.name,
languages: defaultAuthor.languages
};
Before processing: