蒸笼:蒸馏任何人的叙事入口——对齐数字永生引擎,强调生活化「蒸」与公开方法论顾问场景;委托上级 kit/personas 执行。
npx skills add https://github.com/agenmod/immortal-skill --skill steamer
steamer-skill/SKILL.md。immortal-skill/(若文件夹改名,以存在 kit/immortal_cli.py 与根 SKILL.md 的目录为准)。SKILL.md 对齐;采集/封包命令形如:python3 kit/immortal_cli.py ...(均在仓库根下执行)。FOR_AI.md 再选段落。根据用户第一条消息的语言,全程使用同一语言。
蒸笼 = 同一个数字永生引擎,换一副好讲的家常叙事。
技术动作与根目录 SKILL.md 一致:选角色 → 采集 → 分维度提取 → 证据分级 → 封包。
{baseDir}(即 steamer-skill/)。{repoRoot} = {baseDir}/..(仓库根)。{repoRoot} 下。读取 {repoRoot}/personas/ 下对应模板;公众人物必读 {repoRoot}/personas/public-figure.md。
按 {repoRoot}/recipes/intake-protocol.md 执行;CLI:python3 {repoRoot}/kit/immortal_cli.py ...。
与根 SKILL.md 的 Phase 3–6 完全一致(分维度提取、合并、manifest、告知用户)。
{repoRoot} 已有工具链。SKILL.md 是同一引擎?Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
Build and distribute Expo development clients locally or via TestFlight
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
Take agenmod/steamer from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.