Agent SkillsFradSer/dotclaude › get-context

get-context

GitHub

根据用户输入自动分类并执行代码上下文调研,支持仓库、库名及自然语言查询,通过调用专用子代理整合DeepWiki等工具结果。

code-context/skills/get-context/SKILL.md FradSer/dotclaude

Trigger Scenarios

需要获取代码库或技术背景信息 询问特定库或框架的用法与对比

Install

npx skills add FradSer/dotclaude --skill get-context -g -y
More Options

Non-standard path

npx skills add https://github.com/FradSer/dotclaude/tree/main/code-context/skills/get-context -g -y

Use without installing

npx skills use FradSer/dotclaude@get-context

指定 Agent (Claude Code)

npx skills add FradSer/dotclaude --skill get-context -a claude-code -g -y

安装 repo 全部 skill

npx skills add FradSer/dotclaude --all -g -y

预览 repo 内 skill

npx skills add FradSer/dotclaude --list

SKILL.md

Frontmatter
{
    "name": "get-context",
    "description": "Execute this when the user requests code context for a repository, library, or any natural-language code\/technology question using DeepWiki, Context7, Exa, git clone, and\/or web search+fetch.",
    "allowed-tools": [
        "Task"
    ],
    "argument-hint": "<query | repo-slug | library-name> [more targets...] [--method=deepwiki,context7,exa,clone,web,all]",
    "user-invocable": true
}

get-context

Launch a code-context:context-researcher agent that executes the full workflow in an isolated context. The input is arbitrary: a natural-language question, a repo slug, a library name, or several of these at once.

Argument parsing

  1. Split $ARGUMENTS into positional targets and the optional --method flag.
    • --method= accepts a comma-separated list from deepwiki,context7,exa,clone,web,all. Default: all.
    • Quoted strings are one target: "compare zustand vs jotai state management" is a single natural-language query.
    • Multiple positional tokens are multiple targets: facebook/react zustand = two targets.
  2. Classify each target:
    • GitHub slug (owner/repo) or git URL → repo target (DeepWiki / clone).
    • Bare name matching a known package ecosystem (react, fastapi, next) or with a version hint (react@18) → library target (Context7).
    • Anything else (a question, a comparison, a concept) → natural-language target (Exa / web search).
  3. Empty input: read dependency manifests in the current working directory (package.json, go.mod, pyproject.toml, Cargo.toml) and use detected dependencies as targets.

Prompt template

Pass the parsed targets and method list to the agent verbatim — do not pre-resolve them in the main context.

Code context request.

Targets (classify each as repo / library / natural-language query):
<positional targets, one per line; or "auto-detect from local dependency manifests" if empty>

Methods to use (in priority order; "all" = let agent choose per target):
<comma-separated method list, default "all">

Local context already known: <one line on what the cwd already contains, or "none">

Execute

Launch code-context:context-researcher using the prompt template above. The agent returns a synthesized summary; the main context stays clean regardless of lookup volume.

Version History

  • 6f2a0b2 Current 2026-08-20 10:58

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Metadata

Files
0
Version
6f2a0b2
Hash
6dc2a530
Indexed
2026-08-20 10:58

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