Skillselion MCP server
OfficialServer Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| search_skillselionA | Search Skillselion, a curated directory of Claude Code agent skills, MCP servers and plugin marketplaces, ranked by real community signal (installs + GitHub stars). Use to browse trusted skills/MCPs/marketplaces for the task at hand (e.g. "postgres", "code review", "playwright"). To actually USE a skill, call load_skill (with an id from here, or directly with a query - it searches for you). |
| load_skillA | Load a community-vetted skill into your context on demand - like installing it mid-task. Reach for this when a task is in a domain a skill likely covers (tests, frontend/UI, an API/DB, infra, a named framework) and a proven recipe would beat improvising - most valuable in territory you are less sure of, or fast-moving stacks where your memory may be stale. You MUST pass |
| synthesize_skillsA | Pull the BEST rules across the top matching community skills and merge them into one cross-source playbook - use for broad "how should I approach X / current best practices" tasks that span multiple skills, or when you want the field's combined guidance rather than one skill's. For a single specific skill (and its bundled scripts/files), use load_skill instead. Pass your task as |
| top_skillselionA | List the top entries on Skillselion (the leaderboard), optionally by type. Skills rank by installs; MCP servers and marketplaces by GitHub stars. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 4 tools
Tools are mostly distinct: load_skill installs a skill, search_skillselion browses, synthesize_skills merges multiple, top_skillselion lists. However, load_skill also performs a search via query, which may cause confusion with search_skillselion. Descriptions help differentiate but some overlap remains.
All tools follow a consistent verb_noun pattern with lowercase and underscores: load_skill, search_skillselion, synthesize_skills, top_skillselion. The naming is predictable and uniform.
Four tools is well-scoped for a skill marketplace consumer: search, load, synthesize, and list top. Each tool serves a distinct purpose without redundancy or unnecessary proliferation.
The tool surface covers core consumer workflows: browsing, loading, and aggregating skills. Minor gaps exist (e.g., no direct metadata-only retrieval) but agents can work around via search and load.