菜单
Apply when planning fixes, investigating tech debt, architecting solutions, or diagnosing unknown issues that may involve external frameworks, dependencies, or platform behavior. Search online for current documentation and state-of-the-art approaches before tracing through code.
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/ZaxbyHub/opencode-swarm --skill research-first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。
Run a graph-guided, tool-augmented PR review using context packing, parallel exploration, mandatory repository-agnostic risk-family coverage with dispatch scaled to diff size and risk, independent reviewer validation, critic challenge, and metrics writeback. Use for deep pull request review with low false-positive tolerance and high recall in any repository, on any agent harness (structured lane controller, native parallel subagents, or single-context sequential passes).
Apply when committing, pushing, opening or updating a PR, writing a pull request, creating release notes, or closing out remote CI. Enforces the opencode-swarm invariant audit, release-note fragment workflow, full validation suite, issue comment requirement, and post-PR lifecycle rules.
Enable a high-quality swarm-like Claude Code workflow for the current session, and optionally execute a task immediately using that mode. Uses parallel subagents for breadth, independent reviewer validation for precision, and critic challenge for final confidence. Use when the user wants swarm-like behavior, higher review rigor, or maximum quality without sacrificing Claude Code speed.
基于 SOC 职业分类
正在显示 SKILL.md
| name | research-first |
| audience | swarm-plugin |
| description | Apply when planning fixes, investigating tech debt, architecting solutions, or diagnosing unknown issues that may involve external frameworks, dependencies, or platform behavior. Search online for current documentation and state-of-the-art approaches before tracing through code. |
| context | fork |
| agent | Explore |
This skill body runs in an isolated Explore context: it has no conversation history and cannot spawn further sub-agents. Work from the task statement it receives, run searches and reads directly, and return a compact findings report.
Scope guard — research the outside world only when the problem involves it:
When researching:
Then trace each problem end-to-end through the actual source code. Do not stop until ≥95% confident in the root cause for every issue being investigated, and mark anything below that threshold as UNVERIFIED with what evidence is missing.