Show HN: Skillgesture – versioned, on-demand skills for AI agents
Skillgesture Skillgesture is a local MCP server for organizing and providing skills to AI agents. Skills are stored in a central repository, organized as group → skill → subskill, and loaded in full only when an agent requests them. Requirements Node.js 24 or later npm 12 or later Installation npm install To make the skillgesture command globally available during development: npm link Running npm start The server uses the MCP stdio transport.
- ▪Skillgesture Skillgesture is a local MCP server for organizing and providing skills to AI agents.
- ▪Skills are stored in a central repository, organized as group → skill → subskill, and loaded in full only when an agent requests them.
- ▪Requirements Node.js 24 or later npm 12 or later Installation npm install To make the skillgesture command globally available during development: npm link Running npm start The server uses the MCP stdio transport.
Hacker News (AI / LLM) files mainly under ai. We currently carry 5,805 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
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 | GitHub |
| Canonical URL | https://github.com/Gabry848/skillgesture |
| Publication time | Mon, 21 Sep 2026 11:02:41 +0000 |
| Retrieval time | 2026-09-21T11:08:48.108Z |
| Last seen | 2026-09-21T11:08:48.108Z |
| 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 | u9iebDZuLE4E · 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
Skillgesture Skillgesture is a local MCP server for organizing and providing skills to AI agents. Skills are stored in a central repository, organized as group → skill → subskill, and loaded in full only when an agent requests them. MVP Features central repository in ~/.skillgesture; skill content stored as Markdown; catalog, associations, and sessions persisted as JSON; global skills or skills associated with exact paths; simultaneous loading of multiple folders; lightweight index without Markdown content; on-demand reading; creation and modification of groups, skills, and subskills; enabling and disabling nodes; durable, independent sessions for multiple agents; atomic writes and a shared cross-process lock.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.