/SKILL

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: "对比 zustand vs jotai 状态管理" 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.