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dylanfeltusdylanfeltus/skills/hn-search/SKILL.md

hn-search

Skill179 starsChanged 9 months agoMITView on GitHub

Search and monitor Hacker News stories, comments, and users via the free Algolia API. Use when the user asks about HN discussions, wants to find posts about a topic, or monitor HN for mentions. No API key required.

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    1. muneebhashone/hn★ 0same name

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

  • In this repository10 other files it gives its agents.

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We split this skill into the rules it gives an agent

5 rules. About 0 are common, 2 are distinctive, and 3 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 3

    Very specific

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  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Search and monitor Hacker News stories, comments, and users via the Algolia HN Search API.

    line 8
  2. Very specific:

    Use web_fetch to call the API.

    line 38
  3. Very specific:

    Use tags to filter by content type:

    line 52
  4. Very specific:

    Use /search_by_date instead of /search

    line 163
  5. Distinctive:

    Malformed response: Check the URL construction — common issues are unencoded special characters in the query.

    line 201

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Hacker News Search

Search and monitor Hacker News stories, comments, and users via the Algolia HN Search API. No API key required.

When to Use

  • User asks about Hacker News discussions on a topic
  • User wants to find HN posts about a company, product, or technology
  • User wants to monitor HN for mentions of something
  • User asks "what's trending on HN" or "what did HN think about X"
  • User wants to find Show HN / Ask HN / Launch HN posts

API Overview

Base URL: https://hn.algolia.com/api/v1

Two search endpoints:

  • /search — Relevance-sorted (best for finding specific topics)
  • /search_by_date — Date-sorted (best for monitoring / recent activity)

Rate Limits: 10,000 requests/hour (generous, no auth needed)

How to Search

Step 1: Build the URL

https://hn.algolia.com/api/v1/search?query=QUERY&tags=TAG&hitsPerPage=N&numericFilters=FILTERS

Step 2: Fetch with web_fetch

Use web_fetch to call the API. Response is JSON.

Parameters

ParameterDescriptionExample
querySearch terms (URL-encoded)query=openai+gpt
tagsFilter by type (see below)tags=story
hitsPerPageResults per page (max 1000)hitsPerPage=20
pagePage number (0-indexed)page=0
numericFiltersNumeric filters (see below)numericFilters=points>100

Tag Filters

Use tags to filter by content type:

TagDescription
storyStories only
commentComments only
show_hnShow HN posts
ask_hnAsk HN posts
front_pageCurrently on front page
author_USERNAMEPosts by a specific user
story_IDComments on a specific story

Combine tags with commas (AND) or parentheses with commas (OR):

  • tags=story,show_hn → Show HN stories (AND)
  • tags=(story,comment) → Stories OR comments

Numeric Filters

FilterDescription
points>NMinimum points/upvotes
num_comments>NMinimum comments
created_at_i>TIMESTAMPAfter Unix timestamp
created_at_i<TIMESTAMPBefore Unix timestamp

Combine with commas: numericFilters=points>100,num_comments>50

Date Ranges

To search within a time window, use Unix timestamps with created_at_i:

Calculate the current Unix timestamp first (e.g., via exec: date +%s), then subtract:

WindowSubtract from now
Last 24 hours- 86400
Last 7 days- 604800
Last 30 days- 2592000

Example: if now is 1705312200, last 7 days = numericFilters=created_at_i>1704707400

Response Format

Each hit contains:

{
  "objectID": "12345",
  "title": "Story Title",
  "url": "https://example.com/article",
  "author": "username",
  "points": 150,
  "num_comments": 42,
  "created_at": "2024-01-15T10:30:00Z",
  "created_at_i": 1705312200,
  "story_text": "Text for Ask HN / Show HN (HTML)",
  "_tags": ["story", "author_username", "story_12345"]
}

For comments, hits also include:

{
  "comment_text": "The comment body (HTML)",
  "story_id": 12345,
  "story_title": "Parent Story Title",
  "story_url": "https://example.com",
  "parent_id": 12344
}

The response wrapper includes:

{
  "hits": [...],
  "nbHits": 1000,
  "page": 0,
  "nbPages": 50,
  "hitsPerPage": 20
}

Constructing HN Links

  • Story: https://news.ycombinator.com/item?id={objectID}
  • Comment: https://news.ycombinator.com/item?id={objectID}
  • User: https://news.ycombinator.com/user?id={author}

Step-by-Step Instructions

Searching for Stories on a Topic

  1. URL-encode the query
  2. Fetch: https://hn.algolia.com/api/v1/search?query=YOUR_QUERY&tags=story&hitsPerPage=10
  3. Parse the JSON response
  4. For each hit, present: title, points, num_comments, author, date, HN link, and original URL

Finding Recent/Trending Discussions

  1. Calculate Unix timestamp for your time window (e.g., 7 days ago)
  2. Fetch: https://hn.algolia.com/api/v1/search?query=YOUR_QUERY&tags=story&numericFilters=points>50,created_at_i>TIMESTAMP&hitsPerPage=10
  3. Sort results by points or comments for "trending"

Getting Comments on a Story

  1. Get the story's objectID from a search
  2. Fetch: https://hn.algolia.com/api/v1/search?tags=comment,story_STORYID&hitsPerPage=20
  3. Present comment_text, author, points for each

Monitoring a Topic (Show Recent Mentions)

  1. Use /search_by_date instead of /search
  2. Fetch: https://hn.algolia.com/api/v1/search_by_date?query=YOUR_QUERY&tags=(story,comment)&hitsPerPage=20
  3. Results are newest-first — useful for "what's new about X on HN"

Finding a User's Posts

  1. Fetch: https://hn.algolia.com/api/v1/search?tags=author_USERNAME,story&hitsPerPage=20
  2. For their comments: tags=author_USERNAME,comment

Output Format

Present results as a clean list:

### HN Results for "query" (N total)

1. **Story Title** (150 pts, 42 comments)
   By username · Jan 15, 2024
   🔗 https://example.com/article
   💬 https://news.ycombinator.com/item?id=12345

2. ...

For comments:

### HN Comments on "Story Title"

1. **username** (12 pts) · Jan 15, 2024
   > First ~200 chars of the comment text...
   💬 https://news.ycombinator.com/item?id=12345

Error Handling

  • Empty results: Tell the user no results were found. Suggest broadening the query or removing filters.
  • API error / timeout: Retry once. If still failing, inform the user the HN search API may be temporarily down.
  • Rate limited (429): Unlikely at 10k/hr, but if hit, wait 60 seconds and retry.
  • Malformed response: Check the URL construction — common issues are unencoded special characters in the query.

Examples

Example 1: "What's HN saying about Rust?"

Fetch: https://hn.algolia.com/api/v1/search?query=rust+programming&tags=story&hitsPerPage=5&numericFilters=points>50

Example 2: "Find Show HN posts about AI agents from the last month"

# Calculate timestamp for 30 days ago, then:
Fetch: https://hn.algolia.com/api/v1/search_by_date?query=ai+agents&tags=show_hn&numericFilters=created_at_i>TIMESTAMP&hitsPerPage=10

Example 3: "What has pg posted recently?"

Fetch: https://hn.algolia.com/api/v1/search_by_date?tags=author_pg&hitsPerPage=10

Data Source

Algolia HN Search API — Free, no authentication required. Indexes all public Hacker News content in near real-time.

Download now (ZIP)

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