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Found 251 Skills
Advanced information retrieval specialist combining systematic search strategies, multi-platform expertise, and precision filtering techniques. Excels at finding specific, high-quality information across diverse sources while minimizing noise and maximizing relevance.
Cross-format document accessibility rule reference with WCAG 2.2 mapping. Use when looking up accessibility rules for Word (DOCX-*), Excel (XLSX-*), PowerPoint (PPTX-*), or PDF (PDFUA.*, PDFBP.*, PDFQ.*) documents, or when mapping findings to WCAG success criteria for compliance reporting.
Code Porter Skill: Prioritize adopting excellent open-source projects, avoid reinventing the wheel unnecessarily. Use when: You need to implement new features, select technical solutions, or evaluate whether to build something from scratch. Triggers: "implement", "develop", "create", "build", "write a", "make a"
Normalize ANY input into findings.json — the first step toward turning review notes into an Azure DevOps backlog. Use whenever someone hands you a list of issues, discrepancies, gaps, review notes, or audit results they want to act on: an Excel/CSV/TSV audit sheet, a Word/PDF/Markdown spec, or chat/text pasted into the conversation. Trigger even when the user does NOT say "extract" — e.g. "here's a naming audit", "these are the problems we found", "turn this spreadsheet into tickets", "I reviewed the portal and noted these gaps", "make a backlog from this doc". If the goal is eventually ADO work items, this runs first. Hands off to triage-findings (then classify-work-items, ado-create-work-items). Driven end-to-end by the findings-to-ado-backlog orchestrator.
Bulk-fill ONE master template — a Word (.docx) letter/form or an Excel (.xlsx) form — from a data table, producing one filled file per row (mail-merge). Use whenever the user wants to "fill in this letter for each person", "mail merge", "generate letters for this list", "run this template over a spreadsheet", or hands over a template plus a list. The skill reads the master, proposes a TOKENISED version (varying parts become {{tokens}}), confirms the template and the token-to-column mapping with the user, then regenerates one output per data row — preserving the master's layout and styling exactly. Data is an .xlsx or .csv (one row per output); outputs are one named file per record. Never invents: a token with no data is written as a VISIBLE flag, never a silent blank. Runs fully local and generates files only — it does not send, post or sign. Not for extracting data OUT of documents, and not a substitute for a hand-crafted single letter.
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full ASM JSON, flattened CSV for easy import, and exportable Python code for data engineers. Common triggers include converting instrument files, standardizing lab data, preparing data for upload to LIMS/ELN systems, or generating parser code for production pipelines.
Decides when quality matters vs move fast, based on Dylan Field (Figma) craft philosophy and Brian Chesky (Airbnb) details obsession. Use when balancing shipping speed with excellence, deciding if refactoring is needed, or determining which details create moats vs which to skip.
Apply XP practices including pair programming, ensemble programming, continuous integration, and sustainable pace. Use when implementing agile development practices, improving team collaboration, or adopting technical excellence practices.
设计移动端（iOS/Android）测试方案与用例，覆盖功能、兼容性、性能、网络、安全等。默认输出 Markdown，可请求 Excel/CSV/JSON。Use for 移动端测试 or mobile testing.
Polish and elevate MBA thesis/dissertation to the quality of National Excellent Thesis. Conduct comprehensive enhancements in academic language, argument structure, logical rigor, innovation highlights, and formatting. Input: Markdown-formatted thesis text. Output: fully polished complete text. This service is also triggered when the user mentions terms such as "thesis polishing", "MBA thesis", "excellent thesis", "thesis polish", "dissertation improvement", "academic polishing".
Use Desktop Commander MCP (typically tools like `mcp__desktop-commander__*`) to manage local files and long-running processes: read/write/search files, apply precise edits, work with Excel/PDFs, run terminal commands and interact with REPLs (Python/Node/SSH/DB), inspect/terminate processes, and review tool call history. Use when the task requires doing real work on the machine (editing code/configs, searching a repo, analyzing CSV/Excel, generating/modifying PDFs, running commands with streaming output).
Use this agent when you need to understand the historical context and evolution of code changes, trace the origins of specific code patterns, identify key contributors and their expertise areas, or analyze patterns in commit history. This agent excels at archaeological analysis of git repositories to provide insights about code evolution and development patterns. <example>Context: The user wants to understand the history and evolution of recently modified files.\nuser: "I've just refactored the authentication module. Can you analyze the historical context?"\nassistant: "I'll use the git-history-analyzer agent to examine the evolution of the authentication module files."\n<commentary>Since the user wants historical context about code changes, use the git-history-analyzer agent to trace file evolution, identify contributors, and extract patterns from the git history.</commentary></example> <example>Context: The user needs to understand why certain code patterns exist.\nuser: "Why does this payment processing...