营销与写作

cargo-context

getcargohq/cargo-skills

Read and write the workspace GTM knowledge base — the git-backed repository of markdown describing ICPs, personas, plays, proof points, objections, competitors, and signals — plus its runtime sandbox and typed knowledge graph. Triggers: "document our ICP", "write up this persona", "what is our positioning", "add a battlecard", "capture this objection", "what do we know about <segment>", "update our context", "what is in the context repo", "who do we sell to". Skip when: discovering who actually buys from you by analyzing won/lost data — that is cargo-gtm (this skill writes the conclusion down, it does not derive it); storing structured records rather than prose — use cargo-storage; attaching documents to an agent for RAG — use cargo-content.

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安装命令

npx skills add https://github.com/getcargohq/cargo-skills --skill cargo-context

SKILL.md

Cargo CLI — Context

The context is a git-backed repository of typed markdown/MDX files that captures a workspace's GTM knowledge (company narrative, ICPs, personas, plays, proof, objections, etc.) and is read/written by both humans and agents. The cargo-ai context domain has two subdomains you'll use:

  • runtime — browse, read, write, edit, and execute against the workspace's runtime sandbox (a checked-out copy of the context repo). write/edit are pushed to the default branch, and execute auto-commits and pushes any tracked working-tree changes its command leaves behind.
  • graph — build/load the knowledge graph derived from every markdown/MDX file in the context repo.

The canonical example of a context repository is getcargohq/cargo-workspaces. Read its README.md to understand the domain layout and file conventions before writing new entries. For uploading runtime-independent files (CSVs, PDFs) used in batch runs, use cargo-workspace-management (cargo-ai workspaceManagement file upload) instead. For RAG file attachments to agents, use cargo-ai (cargo-ai content file upload).

See references/conventions.md for the full context repo structure and per-domain templates. See references/response-shapes.md for the JSON shapes returned by each cargo-ai context command. See references/troubleshooting.md for common errors and how to fix them. See references/examples/authoring.md for end-to-end add / edit / delete recipes. See references/examples/lifecycle.md for the bootstrap + refresh-from-calls playbook. See references/examples/graph-queries.md for inspecting the knowledge graph.

Bootstrap