lbql-yhl
- 11 skills
- 0 followers
- 23 hours ago last updated
- ▌ Resume Parser · lbql-yhl bundle智能简历解析系统,支持PDF/Word/图片格式简历的结构化信息提取、岗位匹配度分析、优化建议生成。完全本地运行,无需外部API。使用场景:(1) 解析上传的简历文件提取核心信息,(2) 输入岗位JD计算简历匹配度,(3) 生成简历优化建议,(4) 导出结构化简历数据。
- ▌ Game UI Design · lbql-yhl bundleDesign readable, immersive game HUDs, menus, inventories, prompts, and diegetic interfaces across screen sizes and input devices. Use for game UI architecture, readability, accessibility, and controller-friendly interaction.
- ▌ Record Exporter · lbql-yhlExport validated structured records into a deterministic, human-reviewable folder or archive without mutating the source dataset. Use when a workflow needs grouped Markdown, JSON, CSV, or text exports.
- ▌ Web Accessibility · lbql-yhl bundleDesign, build, and review accessible web interfaces with native semantics, keyboard and focus behavior, forms and recovery, responsive input, motion, assistive-technology testing, and WCAG 2.2-informed evidence. Use for a11y, WCAG, ARIA, screen-reader, keyboard, focus, dialog, form, widget, or accessibility review work across frameworks. Do not use this skill for unrelated requests; route to the nearest named specialist.
- ▌ Github Project Memory · lbql-yhl bundleConnect to a specified GitHub account, verify the user's authenticated session, inventory repositories and repository Skills, save a privacy-conscious local memory index, and quickly answer later questions about projects and Skills from that index. Use when the user asks to log in to GitHub, inspect their repositories, remember project/Skill structure, refresh the inventory, or find a known project or Skill quickly.
- ▌ Daily Automation Report · lbql-yhlBuild a concise, consistent daily report from structured automation run data, including status, throughput, failures, risks, and next actions. Use when a workflow needs a human-readable daily summary without reopening or mutating the source system.
- ▌ Weekly Automation Report · lbql-yhlAggregate validated automation data across a weekly reporting window and produce a consistent trend, outcome, risk, and follow-up report. Use when a workflow needs a weekly summary without recomputing from uncontrolled copies or caches.
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- ▌ Stock Strategy Backtester · lbql-yhl bundleBacktest stock trading strategies on historical OHLCV data and report win rate, return, CAGR, drawdown, Sharpe ratio, and trade logs. Use when evaluating or comparing strategy rules (SMA crossover, RSI mean reversion, breakout), quantifying transaction-cost impact, tuning parameters, or generating performance summaries from CSV data. Trigger for requests like "回测股票策略胜率", "测收益率", "compare two strategy backtests", and "build a strategy report from historical prices".
- ▌ Jd Hard Requirement Matcher · lbql-yhlEvaluate a candidate or record against explicit, lawful, job-relevant hard requirements and return an evidence-based pass/fail decision. Use when a workflow needs deterministic requirement matching without relying on keyword similarity or hidden criteria.