nine1bot
nine1bot contains 22 collected skills from contrueCT, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
Use to render GitLab review results into concise merge request or commit comments.
Use for narrow GitLab commit review runs triggered from commit comments.
Use for GitLab merge request review runs triggered by @Nine1bot comments or merge request webhooks.
Use to choose which custom subagents should be created for a GitLab review run.
Use to produce structured GitLab code review findings and the final GitLab review result.
Use for security review of GitLab MR or commit diffs.
Use to decide whether a GitLab review has enough product and technical context to proceed.
Prompt template for the GitLab review auto fixer custom subagent.
Prompt template for the GitLab review developer custom subagent.
Prompt template for the GitLab review frontend design custom subagent.
Prompt template for the GitLab review QA and risk custom subagent.
Prompt template for the GitLab review security custom subagent.
Prompt template for the GitLab review discovery and spec context custom subagent.
Prompt template for the GitLab review technical architecture custom subagent.
Use to plan minimal QA checks for GitLab review findings.
Use the current Feishu/Lark browser page context and metadata. Prefer focused document snippets and drive search through official lark-cli skills.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks
Use this skill when generating images programmatically with Python. This includes creating charts, diagrams, mind maps, flowcharts, infographics, data visualizations, annotated images, posters, and any visual output that requires code-based rendering. Trigger when user asks to "generate an image", "create a diagram", "draw a chart", "make a mind map", "visualize data", or requests any PNG/JPG/SVG output created via code. Also use when matplotlib, PIL/Pillow, or similar graphics libraries are needed.
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.
Presentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Adding comments or speaker notes, or any other presentation tasks
记住用户偏好设置。使用此技能来保存用户的工作偏好、代码风格、输出格式等偏好，这些偏好将在后续所有会话中自动应用。