메뉴
"基于 FAIR（Meta AI Research）凯明（Kaiming He）实验管理方法论的实验追踪表格生成技能。当用户需要：设计实验追踪表格、管理机器学习/深度学习实验、记录和对比实验结果、建立实验对照组、系统化 research workflow、创建 ablation study 表格、或任何涉及"实验管理""实验记录""实验对比""research spreadsheet""实验表格"的请求时，使用此技能。即使用户只是说'帮我管理实验'或'我想系统化我的研究流程'，也应触发此技能。"
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/justcyl/my-skills --skill fair-experiment-tracker명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
使用 Kapibala 的 OpenAI 兼容图片接口生成/编辑位图图片，默认模型 gpt-image-2。当需要生成图片、编辑已有图片、或批量生成候选图供挑选时触发。触发词："生成图片""画一张""image generation""edit this image""gpt-image-2""批量出图"。
Add, collect, design, audit, and integrate SVG elements into editable diagrams.net/draw.io scientific figures. Use when the user asks to supplement a draw.io diagram with SVG icons, mechanisms, biological objects, model components, pathway symbols, instruments, graphical abstract elements, or publication-style vector assets. Every execution must first ask the user to choose the SVG source mode: network search or self-designed SVG. For network mode, search for multiple relevant SVG candidates for later user selection, record sources and license notes, and fall back to self-designed SVG for concepts with no suitable result. For self-design mode, create restrained, editable, Nature-style SVGs from simple vector primitives. Use with .drawio, SVG, diagrams.net, 科研流程图, 论文示意图, SVG补图, 图标补充, and draw.io配图.
Two-stage workflow for publication-style scientific schematics: generate or use a raster reference with imagegen/PNG/JPG/WebP, then trace it into an editable diagrams.net/draw.io file using research-drawio-skill. Use for Nature-style scientific illustrations, graphical abstracts, model or mechanism schematics, biomedical workflows, AI architecture figures, and paper-style visual drafts that should become editable .drawio source. For complex recognizable elements, author or select dedicated SVG glyphs and compare rendered SVGs against reference crops before inserting them, instead of assembling those elements from draw.io primitives. Enforces a minimum three-round strict pixel-level export/compare/fix loop for close raster-to-draw.io tracing tasks. Use with imagegen, draw.io, diagrams.net, scientific illustration, graphical abstract, paper schematic, figure tracing, SVG glyph tracing, and drawio redraw requests.
SOC 직업 분류 기준
SKILL.md 표시 중
| name | fair-experiment-tracker |
| description | "基于 FAIR（Meta AI Research）凯明（Kaiming He）实验管理方法论的实验追踪表格生成技能。当用户需要：设计实验追踪表格、管理机器学习/深度学习实验、记录和对比实验结果、建立实验对照组、系统化 research workflow、创建 ablation study 表格、或任何涉及"实验管理""实验记录""实验对比""research spreadsheet""实验表格"的请求时，使用此技能。即使用户只是说'帮我管理实验'或'我想系统化我的研究流程'，也应触发此技能。" |
这个技能源自 FAIR 内部的实验管理哲学——凯明（Kaiming He）教导实习生的第一课就是：学会用 Excel 表格管理实验。
好的研究不是满屏代码，而是盯着一张精心设计的表格，去理解每一行代表什么。表格的设计本身就是 research 能力的体现。
与用户确认以下信息：
如果用户没有明确指定，根据研究领域提供合理默认值。
读取 scripts/generate_tracker.py 脚本的内容，根据用户需求修改配置参数后执行。
脚本路径：当前技能目录下的 scripts/generate_tracker.py
运行方式：
python scripts/generate_tracker.py \
--domain "cv" \
--experiment_type "ablation" \
--output "/mnt/user-data/outputs/experiment_tracker.xlsx"
支持的参数：
--domain: 研究领域 (cv, nlp, rl, multimodal, general)--experiment_type: 实验类型 (ablation, hyperparam, architecture, method, dataset)--output: 输出文件路径--project_name: 项目名称（可选）--baseline_name: 基线名称（可选）--num_experiment_rows: 预留的实验行数，默认 20将生成的 xlsx 文件交付给用户，并说明：
references/design_principles.md）核心设计原则已写入参考文件。在生成表格时，务必先阅读该文件以确保遵循所有原则。