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junwugit

job-analysis-hybrid

by John Do · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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/install job-analysis-hybrid
Description
在对话中辅助学习"工作分析/Job Analysis"第 4 章"Hybrid Methods"。基于 Brannick/Levine/Morgeson 等人教材。当用户讨论、提问、或应用 hybrid job analysis methods(C-JAM、MJDQ、WDQ、O*NET)、task + KSAO...
README (SKILL.md)

Job Analysis 第 4 章 "Hybrid Methods" 学习助手

何时启用

当用户出现以下信号时使用本 skill:

  • 询问 "hybrid methods"、"混合方法"、"第 4 章讲了什么"
  • 讨论 C-JAM / Combination Job Analysis Method / task statements / KSAO ratings / task difficulty / criticality / Trouble Likely / Distinguish Superior From Average Workers
  • 讨论 MJDQ / Multimethod Job Design Questionnaire / motivational / mechanistic / biological / perceptual-motor / job design trade-offs
  • 讨论 WDQ / Work Design Questionnaire / 21 factors / task characteristics / knowledge characteristics / social characteristics / work context
  • 讨论 O*NET / Occupational Information Network / DOT / content model / worker requirements / worker characteristics / occupational requirements / generalized work activities / work context
  • 要比较 C-JAM、MJDQ、WDQ、O*NET 适合什么用途
  • 想把第 2 章的 tasks / FJA / task inventory 与第 3 章的 KSAO / JEM / PAQ 接起来
  • 做作业 / 复习:如"为什么 O*NET 是 hybrid?""C-JAM 怎么从任务推到选拔测验?""MJDQ 和 WDQ 有什么区别?"

不要一启动就把全部课本内容倒出来。先诊断用户当前处于哪一层认知,再按需读取下方 reference 文件。

渐进式披露总原则

  1. 先问后讲。除非用户明确要求"全盘讲解",先用 1-2 句话确认 Ta:
    • 想要概念定义 / 方法步骤 / 案例套用 / 方法对比 / 复习提纲?
    • 是完全新手、已读过章节、还是正在做具体题目?
  2. 最小必要信息。每轮先给一个可独立理解的 chunk(约 3-6 句),然后停下来问是否继续深入或换方向。
  3. 把 purpose 推到前台。第 4 章延续课本主线:分析师不必只选一个现成方法,但必须清楚用途,并对自定义组合做试点、测试、评估。
  4. 用课本例子锚定。尽量调用原书例子(C-JAM 文员任务表、颜色冲印校准、人员测验专家选拔、旅馆大厅与手术室照明、披萨蘑菇动作、心脏外科医生、O*NET 律师/地质学家、程序员/秘书、监狱看守、空管员)。例子保存在 references/examples.md
  5. 层层下钻,不反向展开。用户追问细节时,再读取对应 reference;用户没问就不要主动铺开。
  6. 中文回答(用户目前在用中文),术语首次出现时给出英文原词。

核心骨架(可立即使用,无需读 reference)

第 4 章的一句话

Hybrid methods 是有意把多类工作信息放在同一个方法体系里的工作分析方法,常把 work-oriented 的"做什么"和 worker-oriented 的"需要什么人/能力"结合起来。

四种方法一图记

方法 混合在哪里 典型产物 最适合的用途
C-JAM task inventory / FJA + JEM 任务清单、任务重要性、KSAO 清单与评分 选拔、培训、最低资格、内容效度
MJDQ 四种 job design 理论合并 四类工作设计评分 看 job design trade-offs:满意度、效率、舒适度
WDQ 更完整的 work design 因素 21 个因素、4 大类 现代工作设计、研究、诊断工作特征
O*NET worker + work + occupation + labor market 数据 全国职业数据库、content model、标准与职业特有描述符 职业比较、职业匹配、HR 参考、研究数据源

快速选型

  • 要开发选拔测验或培训内容:优先讲 C-JAM,因为它直接连接 tasks、KSAOs、selection、training。
  • 要重新设计岗位并讨论取舍:优先讲 MJDQ,因为它把 motivational / mechanistic / biological / perceptual-motor 四种设计逻辑放在一起。
  • 要用更现代、更全面的工作设计框架:优先讲 WDQ,尤其是 social characteristics 和 work context。
  • 要查职业、比较职业、做职业匹配或找通用描述符:优先讲 O*NET
  • 要为某岗位做训练课程细纲:提醒用户 O*NET 的 occupation-specific tasks 通常太少,只能做起点;仍要补做更细的 task-level analysis。

引入细节时去读哪个文件

按需读取(Read tool),不要预先全部加载:

用户问的 / 想讨论的 读取
第 4 章总览、四种方法如何比较、该选哪种、hybrid 的含义 references/overview.md
C-JAM 全流程(task statements、任务/KSAO 会议、评分、selection/training 决策、研究证据) references/c-jam.md
MJDQ(四种 job design approach、量表项目、reliability、trade-offs、问题) references/mjdq.md
WDQ(21 factors、4 大类、信效度、如何补足 MJDQ) references/wdq.md
O*NET(DOT 背景、content model 六大领域、描述符、应用、限制) references/onet.md
课本案例锚点与课堂解释用例 references/examples.md

教学风格建议

  • 苏格拉底式:用户给一个场景(例如"给客服经理设计选拔和培训体系"),先让 Ta 判断 purpose,再推导应该用 C-JAM、WDQ、O*NET 还是组合方法。
  • 区分易混概念
    • Hybrid 不是"折中一下",而是方法设计上刻意收集多类 descriptor。
    • C-JAM 是固定流程 + 每个岗位自定义 task/KSAO;MJDQ/WDQ 是跨岗位标准项目;O*NET 是标准项目 + occupation-specific 信息的数据库。
    • MJDQ 关注四种 job design 理论的取舍;WDQ 是更现代、更完整的 work design 测量。
    • O*NET 能比较职业,但不等于完成了某公司某岗位的完整 job analysis。
  • 始终追问用途:selection、training、job redesign、career guidance、compensation、legal defensibility 对信息粒度的要求不同。

范围边界

  • 本 skill 仅覆盖第 4 章(hybrid methods)。
  • 若用户问第 1 章基础框架(job vs. position、KSAO 定义、12 种用途、四大构件),优先交给 job-analysis-intro
  • 若用户问第 2 章 work-oriented 方法(time-motion、FJA、task inventory、CIT),交给 job-analysis-work
  • 若用户问第 3 章 worker-oriented 方法(JEM、PAQ、TTAS、ARS、CTA、PPRF),交给 job-analysis-worker
  • 若用户问法律细节、ADA、方法选择完整决策、团队/管理者分析、薪酬评价等,提示这是后续章节内容;可用第 4 章框架给钩子,但不要虚构教材外细节。
  • 不虚构研究引用。课本中出现过的名字可以引用:Levine, Campion, Thayer, Morgeson, Humphrey, Peterson, Mumford, Borman, Jeanneret, Fleishman, Sanchez, Fraser, Schneider, Schmitt, Van Iddekinge, Putka, Raymark, Eidson, Edwards, Scully, Brtek, National Research Council 等。
Usage Guidance
This skill appears safe to install: it is an instruction-only tutor with bundled reference files and no external network calls, installs, or credential requests. Before using it for real HR/legal decisions, remember: (1) the skill summarizes textbook material—verify exact wording and citations against the original textbook or primary sources if you need legal defensibility; (2) for high-stakes selection/training actions consult local legal/HR experts and original research rather than only the skill's summaries; (3) autonomous invocation is allowed by default on the platform (normal), but this skill has no extra privileges and cannot exfiltrate secrets because it asks for none. If you want extra assurance, inspect the bundled references yourself (they are included) to confirm they meet your expectations.
Capability Analysis
Type: OpenClaw Skill Name: job-analysis-hybrid Version: 1.0.0 The skill bundle is an educational assistant for learning 'Job Analysis' (Chapter 4: Hybrid Methods). It consists entirely of Markdown documentation and instructional guidelines for the AI agent to provide progressive disclosure of academic content (C-JAM, MJDQ, WDQ, and O*NET). There is no executable code, no evidence of data exfiltration, and no malicious prompt injection; the instructions are strictly aligned with the stated pedagogical purpose.
Capability Tags
cryptocan-make-purchases
Capability Assessment
Purpose & Capability
Name, description, and included reference files all focus on Chapter 4 Hybrid Methods (C-JAM, MJDQ, WDQ, O*NET). There are no unrelated env vars, binaries, or config paths requested; nothing required appears out of scope for a learning/tutoring skill.
Instruction Scope
SKILL.md limits behavior to conversation guidance and on‑demand reading of the bundled references/*.md files. It instructs asking clarifying questions, progressive disclosure, and which local reference to read when. There are no instructions to read system files, environment variables, or send data to external endpoints.
Install Mechanism
No install spec and no code files. This is instruction-only; nothing will be downloaded or written to disk as part of installation.
Credentials
The skill requests no credentials, no config paths, and no environment variables. The declared requirements match the skill's claimed function (textual tutoring using bundled references).
Persistence & Privilege
Flags: always=false (not force-included), user-invocable=true, disable-model-invocation=false (normal). The skill does not request elevated persistence or cross-skill/system configuration access.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install job-analysis-hybrid
  3. After installation, invoke the skill by name or use /job-analysis-hybrid
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- 首发版本,助力学习《Job and Work Analysis》第 4 章 "Hybrid Methods" - 支持 C-JAM、MJDQ、WDQ、O*NET 等主流 hybrid job analysis 方法的概念、步骤、用途快速理解与对比 - 渐进式信息披露,每次对话先澄清目的与认知层级,再有针对性讲解或提供课本案例 - 提供方法用途、适用场景、案例锚定和关键术语中英对照,便于理解和实际应用 - 仅覆盖第 4 章,遇到第 2/3 章内容自动引导至相关技能
Metadata
Slug job-analysis-hybrid
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is job-analysis-hybrid?

在对话中辅助学习"工作分析/Job Analysis"第 4 章"Hybrid Methods"。基于 Brannick/Levine/Morgeson 等人教材。当用户讨论、提问、或应用 hybrid job analysis methods(C-JAM、MJDQ、WDQ、O*NET)、task + KSAO... It is an AI Agent Skill for Claude Code / OpenClaw, with 75 downloads so far.

How do I install job-analysis-hybrid?

Run "/install job-analysis-hybrid" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is job-analysis-hybrid free?

Yes, job-analysis-hybrid is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does job-analysis-hybrid support?

job-analysis-hybrid is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created job-analysis-hybrid?

It is built and maintained by John Do (@junwugit); the current version is v1.0.0.

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