mit einem Klick
hacker-news
// Search and browse Hacker News with API access to stories, comments, users, and hiring threads.
// Search and browse Hacker News with API access to stories, comments, users, and hiring threads.
以明朝内阁制为蓝本的多 Agent 协作系统
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.
Notion API for creating and managing pages, databases, and blocks.
OpenViking 集成 — 浏览器自动化与 Web 搜索工具
Manage Quadrants tasks and projects via natural language. Use when the user wants to create, view, complete, or organize tasks on the Eisenhower Matrix. Supports listing projects, adding tasks (single or bulk), viewing priority tasks, completing tasks, and getting project overviews. Triggers on mentions of "quadrants", "tasks", "to-do", "eisenhower", "priority matrix", or task management requests.
翰林院 OpenViking 记忆增强 — 将小说写作 pipeline 的设定、摘要、伏笔接入 OpenViking 语义记忆。若你从属于翰林院,当你看到这个skill时,务必加载这个skill。
| name | Hacker News |
| slug | hacker-news |
| version | 1.0.0 |
| description | Search and browse Hacker News with API access to stories, comments, users, and hiring threads. |
| metadata | {"openclaw":{"emoji":"🟠","requires":{"bins":[]},"os":["linux","darwin","win32"]}} |
| Topic | File |
|---|---|
| API endpoints | api.md |
| Search patterns | search.md |
| API | Use Case | Base URL |
|---|---|---|
| Official HN API | Single items, real-time | https://hacker-news.firebaseio.com/v0 |
| Algolia Search | Full-text search, filters | https://hn.algolia.com/api/v1 |
/topstories.json — top 500 story IDs/newstories.json — newest 500 story IDs/beststories.json — best stories/askstories.json — Ask HN/showstories.json — Show HN/jobstories.json — job postings/item/{id}.json — story/comment details/user/{username}.json — user profile/search?query=TERM&tags=TAG&numericFilters=FILTER
Tags (combinable with AND):
story, comment, poll, job, ask_hn, show_hnauthor_USERNAME — posts by userstory_ID — comments on storyNumeric filters:
created_at_i>TIMESTAMP — after datepoints>N — minimum pointsnum_comments>N — minimum comments| Request | Endpoint |
|---|---|
| Frontpage | Official /topstories.json → fetch first 30 items |
| Search posts | Algolia /search?query=X&tags=story |
| User's posts | Algolia /search?tags=author_USERNAME |
| Who is hiring? | Algolia /search?query=who is hiring&tags=story,author_whoishiring |
| Comments on story | Algolia /search?tags=comment,story_ID |
| This week's top | Algolia /search?tags=story&numericFilters=created_at_i>WEEK_TS |
hits[] arrayid, title, url, score, by, time, descendants (comment count)id, text, by, parent, timepage=N, hitsPerPage=N)url is null for Ask HN/Show HN text posts — use text field insteaddeleted and dead items exist — check before displayingobjectID = HN item id (as string)