Ask HN: I still don't understand why AI agents need "skills"
The article discusses the concept of skills in AI agents, specifically in the context of large language models. Skills are presented as a list of titles and descriptions, allowing the model to pick relevant ones and load them. This approach helps organize data in an atomic and composable way, making it easier for the model to access and utilize the information.
- ▪Skills in AI agents are loaded differently than arbitrary documents.
- ▪They are presented as a list of titles and descriptions, allowing the model to pick relevant ones.
- ▪Skills help organize data in an atomic and composable way, making it easier for the model to access and utilize the information.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,198 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Ycombinator |
| Canonical URL | https://news.ycombinator.com/item?id=49139845 |
| Publication time | Sun, 02 Aug 2026 00:09:02 +0000 |
| Retrieval time | 2026-08-02T03:05:40.026Z |
| Last seen | 2026-08-02T03:05:40.026Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | eLOdSJZP8VTY · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
To add to what the other person said, they're also loaded differently than arbitrary docs.They're presented as a list of titles and descriptions to the LLM and it can pick which ones seem relevant and load them.Markdown docs the LLM needs to make a tool call to read the files and potentially multiple tool calls to discover data if there's a hierarchy. Additionally, it now has to decide if it should read the entire file or cherry pick parts of it.Skills organize that in an atomic and composable way.I think ChatGPT and Claude skills will also package arbitrary artifacts like scripts as well. Not sure if that's standard or not
Excerpt limited to ~120 words for fair-use compliance. The full article is at Ycombinator.