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Found 73 Skills
Generates, explains, and tests regular expression patterns. Builds patterns from positive and negative examples, breaks down each component with a readable explanation table, generates edge-case test suites, and provides usage examples in Python and JavaScript. Triggers on: "regex for", "regular expression", "pattern for", "match strings like", "extract from", "build regex", "create pattern", "explain this regex", "what does this regex do", "regex to match", "parse with regex", "validate format". Use this skill when building, explaining, or testing a regular expression pattern.
Use this skill when writing regular expressions, debugging pattern matching, optimizing regex performance, or implementing text validation. Triggers on regex, regular expressions, pattern matching, lookahead, lookbehind, named groups, capture groups, backreferences, and any task requiring text pattern matching.
Decision framework for choosing between regex and LLM when parsing structured text — start with regex, add LLM only for low-confidence edge cases.
Guidance for generating legal chess moves using only regex pattern matching and substitution. This skill applies when implementing chess move generators constrained to regex-only solutions, FEN notation parsing/manipulation, or similar pattern-matching-based board game logic. Use this skill for tasks requiring regex-based state transformations on structured string representations.
Regular expression expert for crafting, debugging, and explaining patterns
Build, test, and explain regular expressions against sample text or files using CLI tools (rg, python) and specific regex flavors. Use when asked to craft, debug, or validate regexes or search patterns.
Debug regex patterns with visual breakdowns, plain English explanations, test case generation, and flavor conversion. Use when user needs help with regular expressions or pattern matching.
Assess construction data quality using completeness, accuracy, consistency, timeliness, and validity metrics. Automated validation with regex patterns, thresholds, and reporting.
Comprehensive guide for implementing Syncfusion WPF MaskedTextBox (SfMaskedEdit) control for restricted input with mask patterns. Use this skill when implementing masked input, input masks, or input restrictions with predefined patterns in WPF. Covers phone number input, email validation, credit card input, formatted input with prompt characters, RegEx masks, and custom patterns for dates, currency, product keys, and zip codes.
Control LLM output with regex and grammars, guarantee valid JSON/XML/code generation, enforce structured formats, and build multi-step workflows with Guidance - Microsoft Research's constrained generation framework
Safe bulk editing across multiple Hugo markdown posts: find/replace, frontmatter updates, content transforms with mandatory preview before apply. Use when user needs batch text replacement, bulk frontmatter field changes, heading/link/whitespace normalization, or regex-based content transforms across posts. Use for "batch edit", "find and replace across files", "add field to all posts", "bulk update tags". Do NOT use for single-file edits, structural refactoring, or content generation.
Use this skill when a user provides a torrent name or file name and wants to fix recognition issues, or asks to add/manage custom identifiers (自定义识别词). This skill generates identifier rules based on the WordsMatcher preprocessing logic, checks for duplicates against existing rules, and saves them via MCP tools. Because custom identifiers are global, generated rules must default to conservative, sample-specific regex patterns instead of broad matches unless the user explicitly wants global cleanup. Applicable scenarios include: 1) A torrent or file name is incorrectly recognized (wrong title, season, episode, etc.); 2) The user wants to block unwanted keywords from torrent names; 3) The user needs episode offset rules for series with non-standard numbering; 4) The user wants to force recognition of a specific media by TMDB/Douban ID.