daymade

Gangtise (岗底斯投研) OpenAPI skill suite installer and diagnostic tool. One-click install 19 official skills (data, research, utility), configure accessKey/secretAccessKey, run health diagnostics. Trigger when user mentions Gangtise, 岗底斯, any gangtise-* skill, credential setup, or reports errors like 'token is invalid' / '接口地址错误'.

Render a terminal CLI program's colored output to a PNG so Claude can actually SEE the real visual result — color contrast, alignment, background blocks, highlighting — instead of only reading plain text and raw ANSI escape codes. Use this whenever verifying or debugging how a CLI tool looks in the terminal: delta git diff colors, bat syntax highlighting, starship prompt, eza/ls colors, git diff, ripgrep matches, or any ANSI-colored output. ALWAYS use it right after changing any CLI color config (delta / bat / themes / lazygit pager) to visually confirm the result rather than guessing from hex values — reading a hex code is not the same as seeing the rendered contrast on the real terminal background. Trigger phrases: 看终端效果, 终端截图, 验证配色, 配色对比, 终端真实效果, terminal screenshot, render terminal output, ANSI to image, "does this color look right", "is the contrast enough", delta/bat color verification.

Configures and runs LLM evaluation using Promptfoo framework. Use when setting up prompt testing, creating evaluation configs (promptfooconfig.yaml), writing Python custom assertions, implementing llm-rubric for LLM-as-judge, or managing few-shot examples in prompts. Triggers on keywords like "promptfoo", "eval", "LLM evaluation", "prompt testing", or "model comparison".

Corrects speech-to-text transcription errors using dictionary rules and Claude's built-in AI (no external API key required — Native AI Correction is the DEFAULT). Stage 1 alone is not the job. Stage 3 API is a backup for automation without Claude Code. Builds personalized correction databases that learn from each fix, auto-loads person-name ASR variants from your people roster, and reads per-domain context files that prime the AI pass for context-dependent homophones. Triggers when working with ASR/STT output containing recognition errors, homophones, garbled technical terms, person-name errors, or Chinese/English mixed content. Also triggers on requests to clean up meeting notes, lecture transcripts, interview recordings, or any text produced by speech recognition. Use this skill even when the user just says "fix this transcript", "clean up these meeting notes", or mentions garbled names without invoking ASR specifically.

Transcribe audio with StepFun's stepaudio-2.5-asr — an SSE endpoint (NOT /v1/audio/transcriptions) with 32K context, ~85-101x RTF on long audio, and a single-call ceiling around 30 minutes (no client-side chunking). Use when transcribing Chinese / English audio with StepFun, when long-form recordings (5-30 min) need to land in one request, when migrating from step-asr / step-asr-1.1, or when hitting the misleading model stepaudio-2.5-asr not supported error (which actually means wrong endpoint). Triggers on 阶跃 ASR, StepFun ASR, stepaudio-2.5-asr, 转录, 语音识别, 长音频转写, 语音转文字. For TTS with the sibling stepaudio-2.5-tts model, use the stepfun-tts skill instead.

Diagnose and resolve Claude Code plugin and skill issues. This skill should be used when plugins are installed but not showing in available skills list, skills are not activating as expected, or when troubleshooting enabledPlugins configuration in settings.json. Triggers include "plugin not working", "skill not showing", "installed but disabled", or "enabledPlugins" issues.

Transcribe audio/video to speaker-labeled text — who-said-what by default, plain-text opt-out; MLX-local on Apple Silicon or remote; local files, media URLs. Use for transcribing recordings/podcasts/lectures/meetings, ASR, speech-to-text, 转录, 语音转文字, 录音转文字, speaker diarization/说话人分离/识别/谁在说话, timestamps 字幕/时间戳/音画对齐, CAM++ voiceprint ID. This skill ALSO owns audio PREPROCESSING for ASR as a first-class trigger, even without transcription: convert any audio/video into an ASR-ready file (转换成适合 ASR 的格式, 转格式, convert/prepare audio for ASR, 音频预处理), downsample to 16kHz mono 16-bit (降采样, 重采样, 单声道, 归一化), merge multi-segment recorder dumps (多段合并/拼接, DJI TX01/TX02), transcode to small M4A + pitch-preserved speedup to cut metered-ASR billed minutes (转 M4A, 压缩上传, 加速, 1.3x, 飞书妙记/Feishu Minutes). Trigger even when it looks like a trivial one-line ffmpeg — the skill owns sample-rate/bit-depth/channel, merge-order, speed-vs-WER, format choices + a blessed prepareasrinput.py.

Optimize / slim down / restructure a CLAUDE.md (or AGENTS.md) using progressive disclosure — move low-frequency detail to Level 2 references while keeping Level 1 lean, WITHOUT losing information. Use this whenever the user asks to optimize / 精简 / 瘦身 / 重构 CLAUDE.md, asks "CLAUDE.md 是不是太大了 / 太长了" (is my CLAUDE.md too big / too long / bloated), wants to 把内容拆到 reference / 外部 / Level 2, do 整段外移 / 渐进式披露 / progressive disclosure, or whenever a CLAUDE.md duplicates info across files or the LLM keeps failing to follow its rules. ALSO trigger the moment an optimization turns into moving / cutting / compressing sections of a CLAUDE.md — even mid-task while another claude-md skill is already running. Distinct from claude-md quality auditors / scorers: this is the restructuring-and-offloading methodology that guarantees zero information loss (grep-verified pointers, verbatim moves, 5b content-integrity audit). Covers hotspot-first profiling (先打热点) and cross-tool truncation (Codex projectdocmax_bytes).

Recover actionable context from local .claude session artifacts and continue interrupted work without running claude --resume. This skill should be used when the user provides a Claude session ID, asks to continue prior work from local history, or wants to inspect .claude files before resuming implementation.

Collect real financial data for any US publicly traded company from free public sources (yfinance). Output structured JSON consumable by downstream financial skills (DCF modeling, comps analysis, earnings review). Handles market data (price, shares, beta), historical financials (income statement, cash flow, balance sheet), WACC inputs, and analyst estimates. Use when users request collect data for ticker, get financials for company, pull market data, gather DCF inputs, or any task requiring structured financial data before analysis. Also triggers on financial data, company data, stock data.

Convert markdown files to professional PDF documents with proper Chinese font support, theme system, and visual self-check. Use whenever the user asks to create PDFs, convert markdown to PDF, generate printable documents, or needs documents formatted for print or mobile reading. This skill MUST be used instead of manual pandoc/Chrome invocations — it handles CJK typography, Chrome header/footer suppression, and mandatory visual verification that manual approaches miss. Scope — markdown → PDF only. For Word (.docx) output use daymade-docs:docx-creator; this skill does not produce docx and the two pipelines are intentionally orthogonal.

【DEPRECATED · 已废弃】本 skill 已于 2026-08-07 停止维护。对作者本机环境：其方法论 （First Law 用户原话优先 / ABCDEFG 叙事框架 / baoyu-slide-deck 委托协议 / 四层目录治理） 已整体并入 deck-creator（私有仓 daymade-skills-pro 的 Route A · narrative）， 装有 deck-creator 的环境不要调用本 skill。对外部用户：这是最终版本， 保留安装兼容，不再接收更新。将在后续大版本中物理移除。

生成 A 股医药行业日报：从新浪财经抓取 20 只核心医药股实时行情，分析 7 大细分赛道排名、涨跌榜 TOP 3、资金流向，然后通过飞书发送富文本日报。 覆盖恒瑞医药、百济神州、智飞生物、药明康德、迈瑞医疗、片仔癀、云南白药等 20 只核心标的。 当用户需要 医药日报、医药行业日报、pharma daily report、 新浪财经医药数据、A 股医药板块分析、飞书推送医药数据、 制药行业快报 时触发。也适用于"帮我看一下今天医药板块"、 "给飞书发一份今天的医药数据"等口语化请求。

Analyze and reclaim macOS disk space through intelligent cleanup recommendations. This skill should be used when users report disk space issues, need to clean up their Mac, or want to understand what's consuming storage. Focus on safe, interactive analysis with user confirmation before any deletions.

抓取 A 股消息面情报：从财联社、华尔街见闻、金十、新浪 7x24、东财快讯、 证监会/央行/上交所/财政部政策公告、东方财富股吧等公开来源抓取与股票相关的 新闻、政策、情绪，输出结构化 JSON 或 Markdown。 当用户提到“A 股消息面”、“抓新闻”、“个股消息”、“政策监管”、“股吧情绪”、 “财联社”、“东财快讯”、“市场情绪”或需要把某只股票相关的公开情报聚合出来时 触发。也适用于“帮我看看 000001 最近有什么消息”这类口语化请求。

Migrates Claude Code personal memory (the per-project memory/ directory) into tool-agnostic reference docs, so other AI CLIs that auto-load AGENTS.md (Codex primarily; the content architecture transfers to Cursor and others) working in the same directory can read the same user profile, collaboration preferences, and methodology instead of being blind to them. Use this whenever the user says things like "migrate my memory", "my memory is locked to Claude Code", "make Codex/Cursor read my profile", "memory should live in docs not one tool", or reports that a second AI tool doesn't know who they are; also use it when memory has grown bloated with content that should be shared across tools or projects. Covers diagnosis, the references/ + CLAUDE.md-inline + AGENTS.md-symlink architecture, multi-agent review, empirical codex verification, and memory cleanup. Inline only — it orchestrates review subagents and runs codex.

Enforce source-of-truth discipline for Claude Code skill marketplaces, caches, and loose userSettings skills. Use whenever the user says "check skill drift", "检查 skill 漂移", "sync skills from source", "以源码为准同步 skill 缓存", "clean old skill cache versions", "清理 skill 缓存旧版本", "switch marketplace to local source", "marketplace 切到本地源码", "thin skills", "薄 skill", "loose skills", "清理 user skills", or talks about skill caches being stale, version mismatches, orphaned plugins, duplicate direct-copy skills, untracked user skills, or rebuilding the marketplace cache from a local source repo.

Extracts Mermaid diagrams from markdown files and generates high-quality PNG images using bundled scripts. Activates when working with Mermaid diagrams, converting diagrams to PNG, extracting diagrams from markdown, or processing markdown files with embedded Mermaid code.

Searches and recovers Claude Code JSONL history across all active config homes and archives registered in ~/.claude/history-sources.json. Use --all-projects when the project is unknown and --codex to include Codex rollout search. Uses internal timestamps and searches messages, thinking, tool inputs/results, queues, attachments, summaries, titles, and file-history paths. Recovers exact captured bytes from Claude file-history snapshots, including post-Write edits and binary files; otherwise labels Write checkpoints as lower fidelity. Use for keyword/date-bounded history search, prior-conversation forensics, deleted-file recovery, vanished ~/.claude/jobs artifacts, tool/file-operation analysis, or requests mentioning session history, find in history, previous conversation, or .claude/projects. For a recent Claude+Codex inventory, use local-conversation-history instead.

Transforms raw meeting transcripts into high-fidelity, structured meeting minutes (notes / summaries). Use when (1) a meeting transcript is provided and meeting minutes, notes, or a summary are requested; (2) multiple versions of minutes must be merged without losing content; (3) existing minutes need review against the original transcript for missing items; (4) the transcript has anonymous speakers like "Speaker 1/2/3" or "发言人1" that need identifying (optionally mapped via a context.md team directory). Triggers on 会议纪要 / 会议记录 / 整理纪要 / 妙记转纪要, "write meeting minutes", "summarize this meeting", "merge these minutes", "what's missing from these notes". For fixing ASR/STT recognition errors in the raw transcript first, use transcript-fixer; this skill structures clean transcripts into minutes.

Converts any Claude Code skills repository into an official plugin marketplace — generates spec-conforming .claude-plugin/marketplace.json, validates with claude plugin validate, tests real installation, and PRs the upstream repo, encoding hard-won schema/version/description anti-patterns. Use when the user mentions marketplace, plugin support, one-click install, marketplace.json, plugin distribution, auto-update, or wants a skills repo installable via claude plugin install.

Two pipelines ending at a scanner-look PDF. (1) Phone photos of paper documents (contracts, stamped certificates, receipts, forms, handwritten notes) → clean scanner-quality PDF: perspective rectification + noteshrink whitening + A4 assembly + mandatory whole-document check. Trigger: "把照片 做成扫描件", "photos to scanned PDF", "make this look scanned", "手机拍的 文档转 PDF", "盖章文件扫描", replacing pages in an existing scanned PDF, any CamScanner-like request. (2) A digital document with no signature yet (rendered docx/PDF, confirmation form, contract draft) → make it look hand-signed and scanned: synthesize a handwriting-style signature, composite it onto the signature line, apply the same scan-look post-processing. Trigger: "帮我做个手写签名", "生成签名盖到这份文件上", "做成签过字的扫描件", "synthesize a signature", any request for a document that needs to look signed without a real photographed signature. Do NOT hand-roll levels/contrast enhancement for scan-look — tried and rejected twice; this skill's pipeline is the proven one.

Analyze Claude Code and Claude Desktop Code token usage, cost, quota burn, model mix, cache read/write, and 5-hour block consumption using ccusage evidence. Use when the user asks why Claude quota was exhausted, whether a model such as fable/opus/sonnet is unusually expensive, how many tokens were spent today or historically, or needs a human-friendly explanation of local Claude Code CLI/Desktop usage.

Transform vague prompts into precise, well-structured specifications using EARS (Easy Approach to Requirements Syntax) methodology. This skill should be used when users provide loose requirements, ambiguous feature descriptions, or need to enhance prompts for AI-generated code, products, or documents. Triggers include requests to "optimize my prompt", "improve this requirement", "make this more specific", or when raw requirements lack detail and structure.

Co-create a personal investment-research LLM Wiki (Andrej Karpathy's pattern) where the user's OWN analysis framework becomes a living CLAUDE.md — by interviewing them, NOT by handing them a template. Use whenever the user wants to build a compounding research knowledge base, 投研第二大脑, 投研知识库, or 个人投研 wiki; instantiate Karpathy's LLM Wiki gist for finance/investing; turn their stock-picking, analyst-tracking, or earnings-watching workflow into a structured markdown vault; or build a wiki tracking companies / industries / macro / analysts over time. Pure markdown + wikilinks, NO RAG / vector DB (Karpathy's core idea — do not over-engineer). Also triggers for ingesting research reports / earnings calls / expert notes into an existing wiki, and for post-earnings prediction→fulfillment reviews. Core value = extracting the user's personal investment preferences into THEIR OWN schema, never imposing a standard one.

Installs, configures, customizes, or troubleshoots the Claude Code statusline (cwd, model, token counts). Use when the user wants to set up or change the statusline, switch minimal vs full layouts, show absolute token counts (e.g. ctx 108K / 1M) instead of a percentage, add cost via ccusage or git status, dump the stdin JSON Claude Code passes the script, or fix a statusline that is blank, silent, stuck, shows "permission denied", or stopped updating after a script edit (often a missing chmod +x). Trigger phrases: "configure statusline", "statusline blank", "status line not showing", "statusline broken", "show token count in statusline", 状态栏, 状态栏不显示, 状态栏空白, 显示工作目录, 显示 token 数.

Read or export the COMPLETE transcript of a Claude.ai web conversation — both private claude.ai/chat/... and public claude.ai/share/... links — by calling Claude.ai's internal API from inside the user's logged-in Chrome, and download its FILES too (uploads, deliverables). Use whenever the user pastes a claude.ai conversation or share link and asks to read, summarize, export, archive, or extract it — "read this Claude conversation", "导出这个网页版对话", "把这个对话拉到本地". Every naive approach fails SILENTLY: curl/WebFetch hit a Cloudflare challenge; getpagetext sees only the last message; the default API rendering collapses tool calls into placeholders (~5% of it); a share payload uses block shapes a /chat/-only renderer drops without error. Works even when the claude-in-chrome extension cannot pair (different account), via CDP or a macOS AppleScript fallback. Scope: ONLINE claude.ai. For LOCAL Claude Code sessions use claude-code-history-files-finder; for an exported .txt/.json file use claude-export-txt-better.

Install, troubleshoot, and use Scrapling CLI to extract HTML, Markdown, or text from webpages. Use this skill whenever the user mentions Scrapling, uv tool install scrapling, scrapling extract, WeChat/mp.weixin articles, browser-backed page fetching, or needs help deciding between static and dynamic extraction.

Faithfully archive public WPS/KDocs/金山文档 links, especially embedded ProcessOn .pof mind maps and canvases, as raw source data, original SVG/PNG, and Markdown. Use when a user gives a kdocs.cn or wps.processon.com link and asks to scrape, save, download, 扒下来, 归档, or 转 Markdown without logging in or saving the document to an account.

Fixes broken line wrapping in Claude Code exported conversation files (.txt), reconstructing tables, paragraphs, paths, and tool calls that were hard-wrapped at fixed column widths. Includes an automated validation suite (generic, file-agnostic checks). Triggers when the user has a Claude Code export file with broken formatting, mentions "fix export", "fix conversation", "exported conversation", "make export readable", references a file matching YYYY-MM-DD-HHMMSS-*.txt, or has a .txt file with broken tables, split paths, or mangled tool output from Claude Code.

Consolidates redundant documentation while preserving all valuable content. This skill should be used when users want to clean up documentation bloat, merge redundant docs, reduce documentation sprawl, or consolidate multiple files covering the same topic. Triggers include "clean up docs", "consolidate documentation", "too many doc files", "merge these docs", or when documentation exceeds 500 lines across multiple files covering similar topics.

Send a single one-off message to a WeCom (Enterprise WeChat) group bot. Use this skill whenever the user says "/notify-wecom", "send a quick WeCom message", "企微通知一下", "临时发一条企业微信", or any one-shot notification that does not need a reusable template or setup workflow. The message is sent immediately; no confirmation prompt is shown unless the message is empty or the webhook is not configured.

Multi-path parallel product analysis with cross-model test-time compute scaling. Spawns parallel agents (Claude Code agent teams + Codex CLI) to explore product from multiple perspectives, then synthesizes findings into actionable optimization plans. Can invoke competitors-analysis for competitive benchmarking. Use when "product audit", "self-review", "发布前审查", "产品分析", "analyze our product", "UX audit", or "信息架构审计".

How to write, test, register, and debug Claude Code hooks — PreToolUse / PostToolUse / SessionStart / Stop Bash guards that enforce a rule the model would otherwise talk itself past. Use whenever the user wants to create a hook, block/intercept a tool call, turn a repeatedly-violated rule into a hard gate, add a guard rail, debug a hook that misfires or "poisons the session", register a hook across profiles, or mentions hooks / PreToolUse / Stop hook / 拦截 / 守卫 / 钩子 / 拦下. Bakes in the hard-won pitfalls: UserPromptSubmit only ever sees user input, never Claude's own text — a rule about Claude's own output belongs on Stop instead; token-level shlex matching (never awk splitting); bash -n + real-JSON end-to-end testing BEFORE registering (a corrupted PreToolUse hook poisons every Bash call); SSOT + symlink so a ~/.claude reinstall can't lose it; multi-profile convergence; and human-confirmation release gates. Reach for this even for "make it stop doing X" — a durable stop is a hook, not a reminder.

Download YouTube videos and HLS streams (m3u8) from platforms like Mux, Vimeo, etc. using yt-dlp and ffmpeg. Use this skill when users request downloading videos, extracting audio, handling protected streams with authentication headers, or troubleshooting download issues like nsig extraction failures, 403 errors, or cookie extraction problems.

This skill should be used when users want to search, discover, install, or manage Claude Code skills from the CCPM registry. Triggers include requests like "find skills for PDF", "search for code review skills", "install cloudflare-troubleshooting", "list my installed skills", "what does skill-creator do", or any mention of finding/installing/managing Claude Code skills or plugins.

Recover actionable context from a prior Codex CLI session's local rollout files and continue interrupted work without running codex resume. Use this whenever the user wants to pick up Codex (OpenAI Codex CLI / GPT agent) work — they give a Codex session id, ask to continue what Codex was doing, say a Codex run was cut off mid-task, or want to inspect ~/.codex/sessions rollout JSONL before resuming. This is the Codex counterpart of continue-claude-work: reach for it for Codex/~/.codex sessions, and for continue-claude-work when the prior session was Claude Code (~/.claude).

Converts DOCX/PDF/PPTX to high-quality Markdown with automatic post-processing. Fixes pandoc grid tables, simple tables, image paths, CJK bold spacing, attribute noise, and code blocks. Benchmarked best-in-class (7.6/10) against Docling, MarkItDown, Pandoc raw, and Mammoth. Trigger on "convert document", "docx to markdown", "parse word", "doc to markdown", "解析word", "转换文档".

Run a full 6-dimension health check of this Claude Code skills marketplace repo — code/script safety, documentation/SSOT consistency, security/PII leaks, open-PR triage, open-issue triage, and marketplace-manifest integrity — via a parallel fan-out Dynamic Workflow, then verify the serious findings and report them by priority. Use this whenever the user asks to check the repo, run a health check, do a full sweep/audit before a release, 全面体检, 检查仓库状态, 看看仓库健康吗, 审计一下仓库, or asks whether the PRs / issues / docs / versions / PII are in good shape across the board — even if they never say the word "workflow". Reach for it for any broad "is this whole repo OK" request, not just one-file checks.

Fetch Twitter/X post content including long-form Articles with full images and metadata. Use when Claude needs to retrieve tweet/article content, author info, engagement metrics, and embedded media. Supports individual posts and X Articles (long-form content). Automatically downloads all images to local attachments folder and generates complete Markdown with proper image references. Preferred over Jina for X Articles with images.

Produce production-grade Word (.docx) documents — especially Chinese ones — by driving the minimax-skills:minimax-docx OpenXML engine correctly. Use whenever the deliverable is a .docx file: 生成 Word 文档 / 做一份 docx / 写合同 docx / 起草协议 / 正式文书 / 公文 / offer / 劳动合同 / 把 markdown 转成 Word / Word 排版 / 中文排版 / 签字栏 / 盖章版 / 甲方乙方, or any plain "give me a Word file" request. This skill adds the layer minimax-docx does not ship: a verified markdown-to-docx OpenXML generator, the alignment-layering rule that stops justified text from stretching 甲方/乙方 info blocks and signature blocks into garbage, per-list numbering restart, CJK font dual-slot setup, and a mandatory LibreOffice-to-PDF-to-PNG visual verification chain (qlmanage thumbnails are banned — they hide exactly the bugs that matter). Engine belongs to minimax-docx; correct usage and the field-tested workarounds belong here. For PDF output use daymade-docs:pdf-creator instead — the two pipelines are intentionally orthogonal.

Pull Bigdata.com (RavenPack) financial and news data via the official bigdata-client SDK and /v1/ REST endpoints — structured financials, prices, analyst estimates, daily entity-sentiment series, annotated chunk search, screener — when the Bigdata MCP returns only pre-synthesized tearsheets but you need the machine-readable substrate. Use when the user mentions Bigdata.com, RavenPack, a bdv2 key, the bigdata MCP, rpentityid, chunk/queryunit cost, or wants structured financials, fundamentals, prices, sentiment, or annotated news.

Extracts files from repomix-packed repositories, restoring original directory structures from XML/Markdown/JSON formats. Activates when users need to unmix repomix files, extract packed repositories, restore file structures from repomix output, or reverse the repomix packing process.

Finding and accessing AI/LLM model brand icons from lobe-icons library. Use when users need icon URLs, want to download brand logos for AI models/providers/applications (Claude, GPT, Gemini, etc.), or request icons in SVG/PNG/WEBP formats.

【DEPRECATED · 已废弃】本 skill 已于 2026-08-07 停止维护。对作者本机环境：其方法论已整体并入 deck-creator（私有仓 daymade-skills-pro 的 Route B · draft），装有 deck-creator 的环境不要调用本 skill。 对外部用户：这是最终版本，保留安装兼容，不再接收更新——你可以继续按本文档使用， 但请知悉上游已冻结。将在 daymade-docs v2.0.0 中物理移除。

Reviews or re-reviews one contributor pull request—including an explicitly named closed PR being reconsidered—or a bounded newest-to-oldest sweep of all open contributor PRs, for a GitHub repository maintainer against the current base branch. Handles base drift, history discontinuities, polluted branches, ownership, curation, supersession, and review-conditioned repair or landing using immutable Git snapshots, three-way merge results, isolated contribution projection, checks, tests, and findings-first reporting. Use for a PR URL or number, "main changed, review again", "review all open PRs newest to oldest", "apply our maintainer principles", "can we merge this and fix the rest ourselves?", or merge readiness. Do not use for general GitHub CRUD, repository-wide audits, CI-only diagnosis, security-only diff audits, unpushed local diffs, merely addressing existing review comments, or merging without a fresh review.

Diagnose Windows App (Microsoft Remote Desktop / Azure Virtual Desktop / W365 / direct PC) connection issues on macOS. Analyze transport protocol selection (UDP Shortpath vs WebSocket), detect VPN/proxy interference, parse Windows App logs for Shortpath failures, and resolve stuck "Configuring remote PC..." dialogs caused by expired Microsoft accounts, server reboots, or client-side auth poisoning. Use when VDI connections are slow or stuck, when direct PC connections fail to connect, when transport shows WebSocket instead of UDP, when RDP Shortpath fails, or when Windows App is frozen at a progress dialog.

This skill should be used when establishing comprehensive QA testing processes for any software project. Use when creating test strategies, writing test cases following Google Testing Standards, executing test plans, tracking bugs with P0-P4 classification, calculating quality metrics, or generating progress reports. Includes autonomous execution capability via master prompts and complete documentation templates for third-party QA team handoffs. Implements OWASP security testing and achieves 90% coverage targets.