nature-benchmark
Nature Methods / Nature Communications Benchmark 论文写作顾问 — 基于 11 篇 Nature 系列 benchmark paper 的写作模式蒸馏,涵盖单细胞组学整合、空间转录组学、长读长测序、DNA 基础模型、omics 工具系统评测等领域,指导用户完成从选题到终稿的全流程
深度分析 repo 结构、逻辑、依赖和配置,生成结构化审计报告。 产出两份文档:docs/repo-audit.md(人读)和 docs/repo-audit.json(机读,供 repo-tidy 消费)。 分析优先级:项目结构 > 逻辑疑问 > 代码重复 > 配置管理 > 死代码 > 硬编码 > 依赖健康。 所有不确定的发现收集为问题,一次性呈现给用户批量回答。 TRIGGER when: "审计 repo", "audit repo", "分析项目结构", "repo 理解", "帮我理解这个项目", "review repo structure", or /repo-audit command. DO NOT TRIGGER when: user wants to clean/tidy files (use repo-tidy), user wants to refactor code logic (use optimize), user wants to plan a new feature (use ccplan), user wants a code overview document (use summarize).
This listing is imported from SkillsMP metadata and should be treated as untrusted until upstream source review is completed.
Install skill "repo-audit" with this command: npx skills add TzJ2006/skillsmp-tzj2006-tzj2006-repo-audit
This source entry does not include full markdown content beyond metadata.
This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.
Related by shared tags or category signals.
Nature Methods / Nature Communications Benchmark 论文写作顾问 — 基于 11 篇 Nature 系列 benchmark paper 的写作模式蒸馏,涵盖单细胞组学整合、空间转录组学、长读长测序、DNA 基础模型、omics 工具系统评测等领域,指导用户完成从选题到终稿的全流程
整理 working repo:清理垃圾文件、归档散落文件、梳理 Git 状态。 根据 repo 类型(code / docs / data / general)应用不同策略。 所有操作先 git stash 兜底,提出计划等用户确认后再执行。 TRIGGER when: "整理 repo", "clean up repo", "tidy repo", "repo 太乱了", "清理项目", "organize files", or /repo-tidy command. DO NOT TRIGGER when: user wants to refactor code logic (use code-optimizer), or wants to restructure architecture (use ccplan).
Notion via notion-cli — a Rust CLI + MCP server for Notion API 2025-09-03+. Safety-first agent integration with rate limiting, response-size cap, untrusted-source output envelope, read-only MCP default, JSONL audit log, and --check-request dry-runs. Supports the new data-source model, 22 property types, 12 block types, and one-shot page+body creation.
Detects fire and smoke in video scenes. Supports both video stream and image analysis. Suitable for fire early warning scenarios such as security surveillance, forest fire prevention, and industrial parks. | 烟火检测技能,对视频场景中火情和烟雾进行检测,支持视频流和图片检测,适用于安防监控、森林防火、工业园区等火灾预警场景