基于 SOC 职业分类
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/GeorgeDoors888/GB-Power-Market-JJ --skill osop-log命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
超级简历 WonderCV 出品，3000 万用户信赖。简历分析、段落改写、JD 岗位匹配、自动匹配职位、PDF 导出、AI 求职导师（面试准备/薪资谈判/职业规划/多版本简历策略）。 触发条件：用户提供简历、要求简历点评/打分/反馈、希望改写某个简历部分、 希望将简历与岗位 JD 匹配、咨询求职建议或面试准备，或提到 CV/简历/求职。 不触发条件：用户讨论普通写作（非简历）、询问其他文档， 或讨论与求职和职业发展无关的话题。
Order food/drinks (点餐) on an Android device paired as an OpenClaw node. Uses in-app menu and cart; add goods, view cart, submit order (demo, no real payment).
调用久吾智能体API进行文本或文件分析处理。支持两种调用方式：(1) 文本内容分析 - 传入name(智能体名称)、docno(文档编号)、content(文本内容)；(2) 文件分析 - 传入name、docno和files(文件列表)进行智能评审。适用于合同评审、需求评审、文档审查等场景。当用户要求评审合同、分析条款、审查文档、需求评审、合同条款分析、或需要对文本和文件进行AI智能分析时触发。
| name | osop-log |
| description | Generate OSOP session log — creates .osop workflow and .osoplog.yaml execution record |
| version | 1.2.0 |
| emoji | 📝 |
| homepage | https://osop.ai |
| argument-hint | ["short description of what was done"] |
| metadata | {"openclaw":{"requires":{"bins":"[Truncated]","config":"[Truncated]"},"install":[],"always":false}} |
| user-invocable | true |
| disable-model-invocation | false |
You just completed a task. Now produce a structured session log.
sessions/YYYY-MM-DD-<short-desc>.osop — workflow definitionsessions/YYYY-MM-DD-<short-desc>.osoplog.yaml — execution recordCreate the sessions/ directory if it doesn't exist.
$ARGUMENTS
osop_version: "1.0"
id: "session-<short-description>"
name: "<What you did>"
description: "<1-2 sentence summary>"
version: "1.0.0"
tags: [claude-code, <relevant-tags>]
nodes:
- id: "<step-id>"
type: "<node-type>" # human, agent, mcp, cli, api, cicd, git, db, docker, infra, system, event, gateway, data, company, department
subtype: "<subtype>" # Optional: llm, explore, plan, worker, tool, test, commit, rest, etc.
name: "<Step Name>"
description: "<What this step does>"
security:
risk_level: "<low|medium|high|critical>"
edges:
- from: "<step-a>"
to: "<step-b>"
mode: "sequential" # sequential, parallel, conditional, fallback, error, spawn, etc.
osoplog_version: "1.0"
run_id: "<generate-uuid>"
workflow_id: "<matches .osop id>"
mode: "live"
status: "COMPLETED"
trigger:
type: "manual"
actor: "user"
timestamp: "<ISO timestamp>"
started_at: "<ISO timestamp>"
ended_at: "<ISO timestamp>"
duration_ms: <total ms>
runtime:
agent: "claude-code"
model: "<current model>"
node_records:
- node_id: "<step-id>"
node_type: "<type>"
attempt: 1
status: "COMPLETED"
started_at: "<ISO>"
ended_at: "<ISO>"
duration_ms: <ms>
outputs:
<what you produced>
tools_used:
- { tool: "<tool-name>", calls: <n> }
reasoning:
question: "<what was decided>"
selected: "<chosen approach>"
confidence: <0.0-1.0>
result_summary: "<1-2 sentence summary>"
| Action | type | subtype |
|---|---|---|
| Read/explore files | mcp | tool |
| Edit/write files | mcp | tool |
| Shell commands | cli | script |
| Run tests | cicd | test |
| Git operations | git | commit / branch / pr |
| Analyze/reason | agent | llm |
| Search codebase | mcp | tool |
| Ask user | human | input |
| User reviews | human | review |
| Spawn sub-agent | agent | explore / plan / worker |
| API calls | api | rest |
If you spawned sub-agents, use parent on child nodes and spawn edge:
nodes:
- id: "coordinator"
type: "agent"
subtype: "coordinator"
- id: "explore_1"
type: "agent"
subtype: "explore"
parent: "coordinator"
edges:
- from: "coordinator"
to: "explore_1"
mode: "spawn"