القائمة
Generate OSOP session log — creates .osop workflow and .osoplog.yaml execution record
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
استنادا إلى تصنيف SOC المهني
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/GeorgeDoors888/GB-Power-Market-JJ --skill osop-logيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
عرض 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"