菜单
Deep research grounded in the project's durable context system. Use for "ctx research", "基于 context 调研 X", "结合我们的 contexts 做深度研究". Reads existing contexts first, sharpens the question to the real knowledge gap, fans out multi-agent research, verifies key claims, and files results back.
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。
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。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/keli-wen/skills --skill ctx-research命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
基于 SOC 职业分类
正在显示 SKILL.md
| name | ctx-research |
| description | Deep research grounded in the project's durable context system. Use for "ctx research", "基于 context 调研 X", "结合我们的 contexts 做深度研究". Reads existing contexts first, sharpens the question to the real knowledge gap, fans out multi-agent research, verifies key claims, and files results back. |
| metadata | {"short-description":"Context-grounded deep research"} |
Research that starts from what the project already knows and ends with the project knowing more. It differs from generic deep research in two ways: the question is sharpened against existing contexts before any searching, and verified findings are written back into the context system.
Language: mirror the user's language.
contexts/ tree with a map file, or a docs/ADR system). Read the entries relevant to the question. Sort what you find into: already answered (do not re-research), assumed but unverified, genuinely open.multi-agent-driven patterns): parallel researchers with distinct angles — official docs, community and prior art, papers, code in the wild. Each returns raw, citable findings with source name and URL or path.to-ctx, which places it in the project's context system per its rules. The chat gets the summary plus the file path.multi-agent-driven, to-ctx, and handoff; never invokes user-facing skills.