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ANDYPENG09/catalyst-design-skill

Bilingual catalyst design guidance skill for AI agents (Claude Code / OpenClaw / Hermes / Cursor / WorkBuddy). 催化剂设计指导技能

catalyst-design-skill とは?

catalyst-design-skill is a Claude Code agent skill that bilingual catalyst design guidance skill for AI agents (Claude Code / OpenClaw / Hermes / Cursor / WorkBuddy). 催化剂设计指导技能.

対応Claude CodeCodex CLICursor
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ドキュメント

催化剂设计指导 (Catalyst Design)

何时使用 | When to use

  • 用户要"催化剂怎么设计 / 选什么组分 / 怎么优化性能 / 合成路线建议 / 催化剂配方 / 电催化剂设计 / 合成条件怎么选"
    • Users asking "how to design a catalyst / which composition to pick / how to optimize performance / synthesis-route advice / catalyst formulation / electrocatalyst design / how to choose synthesis conditions"
  • 典型输入:设计目标(反应类型 + 材料体系/性能诉求),可选:catalyst-search 的文献检索结果
    • Typical input: design goal (reaction type + material system / performance need); optional: catalyst-search literature results
  • 覆盖反应:HER / OER / ORR / PEMWE / 全解水 / 光催化 / 塑料升级回收等
    • Covers: HER / OER / ORR / PEMWE / overall water splitting / photocatalysis / plastic upcycling, etc.

何时不使用 | When NOT to use

  • 纯文献检索任务 → 用 catalyst-search(本技能不重复检索)
    • Pure literature search → use catalyst-search (this skill does not re-search)
  • 非催化领域的材料设计(如电池正极、半导体器件)→ 不适用
    • Non-catalysis material design (e.g., battery cathodes, semiconductor devices) → not applicable
  • 仅需查一个具体 DOI / 论文全文 → 用 WebSearch/WebFetch 即可
    • Just looking up a specific DOI / full text → use WebSearch/WebFetch directly

前置条件 | Prerequisites

  • 本技能自带知识库(references/)与模板(templates/),无需外部依赖即可运行
    • Ships with its own knowledge base (references/) and templates (templates/); runs with no external dependencies
  • 可选:WebSearch/WebFetch 可用时,可补查特定规律的出处(非必需)
    • Optional: when WebSearch/WebFetch are available, may trace a specific rule's origin (not required)

输入接口 | Input interface

  • 必填 | Required:设计目标(含反应类型 + 材料体系或性能诉求)
    • Design goal (reaction type + material system or performance need)
  • 可选 | Optionalcatalyst-search 的结构化文献输出(即 literature_matrix.md 格式的文献矩阵表 + 支撑结论 + 验证建议)
    • The structured literature output of catalyst-search (the literature_matrix.md table + supporting conclusions + validation suggestions)
    • 提供了文献 → 结合文献中的具体体系与指标,给出针对性建议并标注文献支撑
      • With literature → give targeted advice using its specific systems/metrics and cite the support
    • 未提供文献 → 基于内置设计方法论(见 references/design_methodology.md)给出通用建议
      • Without literature → give general advice from the built-in methodology (see references/design_methodology.md)

设计方法论体系(分层 · 多来源 · 可追溯 · 可演进) | Methodology system (layered · multi-source · traceable · evolvable)

方法论持续融合多来源证据,按四层体系组织,并可随新增文献动态更新。 The methodology continuously fuses multi-source evidence, organized in four layers, and evolves dynamically with new literature.

  • 完整分层知识库 | Full layered knowledge base: references/design_methodology.md(每条带来源标签+置信度+更新日期 / each entry carries source tag + confidence + update date)
  • 动态更新机制 | Dynamic update mechanism: references/methodology_update_protocol.md
  • 可追溯条目台账 | Traceability registry: references/methodology_registry.md(编号→出处/DOI 逐级溯源 / trace by ID → source/DOI)

四层体系(Layered Framework)

  • L1 基础理论层 | L1 Theory:为什么这样设计——构效关系、d 带中心/Sabatier、反应机理分型(AEM/LOM;Volmer-Heyrovsky)、活性-稳定性权衡、缺陷即活性、双功能协同
    • Why design this way — structure-property relations, d-band center/Sabatier, mechanism typing (AEM/LOM; Volmer-Heyrovsky), activity-stability trade-off, defects-as-activity, bifunctional synergy
  • L2 方法工具层 | L2 Methods & Tools:用什么手段——合成方法库(SEA/低熔点掺杂/配体锚定/单源热解/Joule heating/模板/晶界工程…)、表征与计算工具(XRD/STEM/XPS/EXAFS/DFT/ML)、结构设计手段(尺寸/有序化/核壳/载体/单双原子)
    • What means to use — synthesis library (SEA/low-melting doping/ligand anchoring/single-source pyrolysis/Joule heating/templating/grain-boundary engineering…), characterization & computation (XRD/STEM/XPS/EXAFS/DFT/ML), structural design (size/ordering/core-shell/support/single-dual atoms)
  • L3 技术参数层 | L3 Parameters:具体参数窗口——退火温度(450–1150 °C)、降温速率(慢冷≤2 °C/min)、气氛、粒径、掺杂量、组分配比、后处理
    • Concrete parameter windows — annealing temp (450–1150 °C), cooling rate (slow ≤2 °C/min), atmosphere, particle size, doping level, composition ratio, post-treatment
  • L4 实践验证层 | L4 Validation:如何证明有效——RDE→MEA 分级评测、标准(TCASMES 400-2024/T/CRES 0030-2025)、各体系性能基准、有序度/稳定性/放大验证
    • How to prove it works — RDE→MEA tiered evaluation, standards (TCASMES 400-2024/T/CRES 0030-2025), per-system benchmarks, ordering/stability/scale-up validation

来源标签(可追溯性)| Source tags (traceability)

[CS] catalyst-search 检索文献(含 DOI) | [AI] 用户经 AI/skill 获取 | [EXT] 外部渠道(会议/专利/标准/内部数据) | [EXP] 经验推测(待验证)。置信度 ★★★★。 [CS] catalyst-search retrieval (with DOI) | [AI] user-acquired via AI/skill | [EXT] external channel (conference/patent/standard/internal data) | [EXP] empirical guess (to verify). Confidence ★★★★.

生成建议时须带出所引条目的来源标签,区分"文献已证实"与"经验推测"。 When generating advice, surface the source tag of each cited entry; distinguish "literature-confirmed" from "empirical guess".

工作流 | Workflow

  1. 解析输入 | Parse input:提取设计目标(反应类型 / 体系 / 性能);收集并区分多来源证据——catalyst-search 文献矩阵 [CS]、用户经 AI/skill 提供的资料 [AI]、外部渠道 [EXT]。输入不完整(缺反应类型或材料体系)时,先向用户澄清,不臆测。
    • Extract design goal; collect and tag multi-source evidence — catalyst-search matrix [CS], user-provided [AI], external [EXT]. If input is incomplete (missing reaction type or material system), ask the user to clarify first; do not guess.
  2. 匹配规律(按四层)| Match rules (by layer):目标映射到 L1 理论(选机理方向)→ L2 方法工具(选合成/表征手段)→ L3 参数(定参数窗口)→ L4 验证(定评测路径)。
    • Map goal to L1 theory (mechanism direction) → L2 methods (synthesis/characterization) → L3 parameters (windows) → L4 validation (evaluation path).
  3. 生成建议 | Generate advice:输出组分选择 + 结构设计 + 合成策略 + 条件优化 + 验证建议;每条引用注明来源标签(及 DOI)与置信度,区分"文献已证实"与"经验推测"。
    • Output composition + structure + synthesis + conditions + validation; each citation notes source tag (and DOI) and confidence; distinguish confirmed vs guessed.
  4. 动态回填(演进)| Dynamic backfill (evolve):若本次用到用户新提供的文献/结论产生了新规律,按 references/methodology_update_protocol.md 校验后回填 design_methodology.mdmethodology_registry.md(含来源、DOI、置信、状态)。证据不足(仅 [EXP])的方向,主动建议调用 catalyst-search 补检以升级为 [CS]。
    • If new user literature yields new rules, validate per methodology_update_protocol.md then backfill both files (source, DOI, confidence, status). For under-evidenced (only [EXP]) directions, proactively suggest catalyst-search re-check to upgrade to [CS].
  5. 输出 | Output:按 templates/design_proposal.md 输出设计建议书;引用文献采用 GB/T 7714(格式见 catalyst-search 的 templates/citation_gb7714.md,本技能自带同名模板亦可)。
    • Output the design proposal per templates/design_proposal.md; cite in GB/T 7714 (see catalyst-search's templates/citation_gb7714.md, or this skill's own copy).

输出接口 | Output interface

  • 设计建议书(组分 / 结构 / 合成 / 条件 / 验证),格式见 templates/design_proposal.md
    • Design proposal (composition / structure / synthesis / conditions / validation); format in templates/design_proposal.md
  • 若引用文献,给出 GB/T 7714 引用,并标明"文献支撑"或"经验推测"
    • If citing literature, give GB/T 7714 citation and label "literature-supported" or "empirical guess"

与其他能力分工 | Division of labor

  • 文献检索由 catalyst-search 负责;本技能不重复检索,仅消费其输出或基于内置知识给建议
    • Literature search is catalyst-search's job; this skill does not re-search, only consumes output or uses built-in knowledge
  • 如需补查特定设计规律的出处,可用 WebSearch/WebFetch(可选,非必需)
    • To trace a specific rule's origin, WebSearch/WebFetch may be used (optional)

注意事项 | Notes

  • 建议须有据(内置方法论或所提供文献),不凭空断言
    • Advice must be grounded (built-in methodology or supplied literature); no ungrounded claims
  • 明确区分"文献已证实"与"经验推测"
    • Clearly distinguish "literature-confirmed" from "empirical guess"
  • 设计建议须附带可执行的验证路径(表征/测试),便于用户复核
    • Advice must include an actionable validation path (characterization/testing) for user verification
  • 安全与权限 | Safety & permissions:本技能仅读取自带 references/templates/;不执行系统命令、不写入用户文件、不发起除可选 WebSearch/WebFetch 外的网络请求;不收集或外传用户数据。
    • This skill only reads its own references/ and templates/; runs no system commands, writes no user files, makes no network requests beyond optional WebSearch/WebFetch; collects or exfiltrates no user data.

示例 | Example

  • 输入:设计一个酸性 OER 催化剂,要求 η₁₀ < 200 mV、稳定 > 500 h
  • 输出
    • 组分:Ru@IrOₓ 核壳(Ru 核活性高、IrOₓ 壳抗溶)[CS] ★★★
    • 结构:核壳界面电荷重分布,优化 Ru 的含氧中间体吸附 [CS] ★★★
    • 合成:Adams Fusion 制 IrOₓ 壳 + 还原沉积 Ru 核 [CS] ★★
    • 条件:退火 400–500 °C(过高致 Ru 溶入壳、过低有序度不足)[EXP]
    • 验证:RDE 测 η₁₀/Tafel;ICP-MS 监测 Ru/Ir 溶解;30k 圈 ADT [CS] ★★★
    • Input: design an acidic OER catalyst with η₁₀ < 200 mV, stability > 500 h
    • Output: composition Ru@IrOₓ core-shell / structure interfacial charge redistribution / synthesis Adams Fusion + reductive Ru deposition / conditions anneal 400–500 °C / validation RDE + ICP-MS + ADT; each tagged [CS]/[EXP] with confidence.

项目主页 | Project home

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