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quick-start

Orientation for the gotcontext MCP plugin — the few tools worth reaching for first. Use this skill when setting up the plugin, when unsure which gotcontext tool fits, or right after install. Covers gc_pre_flight (decide ingest/search/summarize/clear before expensive context ops), gc_search_docs + gc_read_doc (answer gotcontext product/API questions from live docs), and gc_submit_benchmark (publish an inference-benchmark run to the public leaderboard). Trigger phrases include "set up gotcontext", "how do I use the gotcontext plugin", "which gotcontext tool should I use", "getting started with gotcontext".

来源信息

仓库
oimiragieo/gotcontext-plugin
最近来源活动
2026年6月17日 14:22
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安装方式

默认使用会先检查来源的 Prompt;你也可以切换为直接命令,或下载本地副本。

检查来源文件

决定是否安装前,请先阅读 SKILL.md,以及 SkillsMP 当前展示的配套文件。

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SKILL.md
来源说明 · 只读预览
name
quick-start
description
Orientation for the gotcontext MCP plugin — the few tools worth reaching for first. Use this skill when setting up the plugin, when unsure which gotcontext tool fits, or right after install. Covers gc_pre_flight (decide ingest/search/summarize/clear before expensive context ops), gc_search_docs + gc_read_doc (answer gotcontext product/API questions from live docs), and gc_submit_benchmark (publish an inference-benchmark run to the public leaderboard). Trigger phrases include "set up gotcontext", "how do I use the gotcontext plugin", "which gotcontext tool should I use", "getting started with gotcontext".
version
1.0.0
# GotContext Quick Start Use this skill when setting up or using the gotcontext MCP plugin. ## Smart context selection Use `gc_pre_flight` before expensive context operations to decide whether to ingest, search, summarize, or clear first. ## Docs lookup Use `gc_search_docs` for gotcontext product/API documentation questions; it returns ranked doc URLs and snippets. Use `gc_read_doc` after `gc_search_docs` returns a URL, or pass a known slug such as "authentication", to retrieve the markdown source. ## Benchmark submission (free — all plans) Use `gc_submit_benchmark` to publish an LLM inference benchmark run to the gotcontext.ai community leaderboard. Provide model name, quantization, hardware, and measured tokens/sec — the run is published immediately and a public URL is returned. Available on all plans (Free, Pro, Team, Enterprise). Rate-limited to 20 submissions per hour per key.
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