implement

You MUST use this when lasting learnings from the current session should be recorded for future agents - pitfalls hit, mistakes the user corrected, conventions found, or commands that finally worked, whatever the conversation language - including when the user asks to write down what the session taught and at the end of the agentflow chain after finalize. Records them without asking in the project's gitignored docs/session-learnings/AGENTS.md; on a separate request, triages the accumulated notes into AGENTS.md, CLAUDE.md, the user's global instructions, or a stronger enforcement such as a check or a test, applying only the approved edits. Not for auditing or restructuring instruction files (maintaining-agent-context). Not for general memory or improvement requests for skills.

You MUST use this when a change needs an independent review before it moves on - a finished task, a feature branch, a pull request, work-in-progress or uncommitted changes since a given ref, or a spec or plan document that needs review - in any programming language. Replaces devflow review-request. Pins the exact target and its tree fingerprint, gathers intent and constraints, and dispatches a read-only reviewer that returns separate verdicts and evidence-backed findings.

You MUST use this when the user asks to take a GitHub issue through the agentflow workflow, with manual stage approvals or a single --auto invocation. Owns intake, clarification, planning, implementation, review, handoff and resumable orchestration. Delivery consumes the installed owner's G3 helpers through explicit current project callbacks and proofs; unknown delivery contracts block their actions. Not for writing a standalone spec, executing an existing plan without issue orchestration, or bypassing project permissions.

You MUST use this when a spec the user approved, an accepted design, or requirements already agreed in the conversation have to be turned into an ordered, multi-step implementation plan before any code is written - including a spec from specify, work with no spec yet, and a plan revision after a document review. Replaces devflow plan-crafting. Covers whether a plan is needed, task order, acceptance-criteria coverage, and the execution choice. Not for open design (specify) or executing a plan (implement).

No description in the SKILL.md.

No description in the SKILL.md.

No description in the SKILL.md.

No description in the SKILL.md.

飞书多维表格（Base）操作：建表、字段、记录、视图、统计、公式/lookup、表单、仪表盘、应用模式（BaseApp/AppMode 页面与组件）、Workspace 目录、workflow、角色权限、模板中心（多维表格模板分类/列表/搜索）；遇到 Base/多维表格/bitable、BaseApp/AppMode、/base/ 或 /app/ 链接时使用。BaseApp 不走 lark-apps；文件导入/导出转 lark-drive，认证/授权转 lark-shared。

Use for lark-cli setup/auth tasks: auth login/status/logout, user vs bot identity, business-domain permissions (--domain, including all/docs/drive), missing scopes, revoking authorization, or handling _notice JSON.

飞书知识库：管理知识空间、空间成员和文档节点。创建和查询知识空间、查看和管理空间成员、管理节点层级结构、在知识库中组织文档和快捷方式。当用户需要在知识库中查找或创建文档、浏览知识空间结构、查看或管理空间成员、移动或复制节点时使用。当用户给出 doubao.com 的 /wiki/ URL/token 时，也应直接使用本 skill，不要因为域名不是飞书而回退到 WebFetch；路由依据是 URL 路径模式和 token，而不是域名。不负责：上传文件到知识库节点下（走 lark-drive）、编辑文档/表格/Base 内容（走 lark-doc / lark-sheets / lark-base）。

飞书任务：管理任务、清单和任务智能体。创建待办任务、查看和更新任务状态、拆分子任务、组织任务清单、分配协作成员、上传任务附件、注册或注销任务智能体、更新任务智能体的主页数据、写入智能体任务记录。当用户需要创建待办事项、查看任务列表、跟踪任务进度、管理项目清单或给他人分配任务、为任务上传附件文件、注册注销任务智能体、更新智能体主页数据、写入任务记录时使用。