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 skills-eval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 | skills-eval |
| description | Evaluate and improve Claude skill quality through auditing |
| version | 1.8.2 |
| triggers | ["evaluation","improvement","skills","optimization","quality-assurance","tool-use","performance-metrics","reviewing","preparing for production","or auditing skills"] |
| metadata | {"openclaw":{"homepage":"https://github.com/athola/claude-night-market/tree/master/plugins/abstract","emoji":"🦞","requires":{"config":"[Truncated]"}}} |
| source | claude-night-market |
| source_plugin | abstract |
Night Market Skill — ported from claude-night-market/abstract. For the full experience with agents, hooks, and commands, install the Claude Code plugin.
This framework audits Claude skills against quality standards to improve performance and reduce token consumption. Automated tools analyze skill structure, measure context usage, and identify specific technical improvements. Run verification commands after each audit to confirm fixes work correctly.
The skills-auditor provides structural analysis, while the improvement-suggester ranks fixes by impact. Compliance is verified through the compliance-checker. Runtime efficiency is monitored by tool-performance-analyzer and token-usage-tracker.
Run a full audit of all skills or target a specific file to identify structural issues.
# Audit all skills
make audit-all
# Audit specific skill
make audit-skill TARGET=path/to/skill/SKILL.md
Use skill_analyzer.py for complexity checks and token_estimator.py to verify the context budget.
make analyze-skill TARGET=path/to/skill/SKILL.md
make estimate-tokens TARGET=path/to/skill/SKILL.md
Generate a prioritized plan and verify standards compliance using improvement_suggester.py and compliance_checker.py.
make improve-skill TARGET=path/to/skill/SKILL.md
make check-compliance TARGET=path/to/skill/SKILL.md
Start with make audit-all to inventory skills and identify high-priority targets. For each skill requiring attention, run analysis with analyze-skill to map complexity. Generate an improvement plan, apply fixes, and run check-compliance to verify the skill meets project standards. Finalize by checking the token budget for efficiency.
Quality assessments use the skills-auditor and improvement-suggester to generate detailed reports. Performance analysis focuses on token efficiency through the token-usage-tracker and tool performance via tool-performance-analyzer. For standards compliance, the compliance-checker automates common fixes for structural issues.
We evaluate skills across five dimensions: structure compliance, content quality, token efficiency, activation reliability, and tool integration. Scores above 90 represent production-ready skills, while scores below 50 indicate critical issues requiring immediate attention.
Improvements are prioritized by impact. Critical issues include security vulnerabilities or broken functionality. High-priority items cover structural flaws that hinder discoverability. Medium and low priorities focus on best practices and minor optimizations.
Deprecated: skills/shared/modules/ directories. Shared modules must be relocated into the consuming skill's own modules/ directory. The evaluator flags any remaining skills/shared/ as a structural warning.
Current: Each skill owns its modules at skills/<skill-name>/modules/. Cross-skill references use relative paths (e.g., ../skill-authoring/modules/anti-rationalization.md).
modules/trigger-isolation-analysis.mdmodules/skill-authoring-best-practices.mdmodules/authoring-checklist.mdmodules/evaluation-workflows.mdmodules/quality-metrics.mdmodules/advanced-tool-use-analysis.mdmodules/evaluation-framework.mdmodules/integration.mdmodules/troubleshooting.mdmodules/pressure-testing.mdmodules/integration-testing.mdmodules/multi-metric-evaluation-methodology.mdmodules/performance-benchmarking.mdscripts/ directory.scripts/automation/.