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Found 287 Skills
Optimize a prompt through a critique-compress pipeline with semantic equivalence verification at each stage. Applies think-critically to improve the prompt, then compress-prompt to reduce it, validating that behavior is preserved after each transformation.
Parent skill. Focuses on researching personal judgment, methodology, system capability and brand equity building in the AI era. Responsible for overall positioning control and task distribution.
MSW 아바타 코스튬 관리. 코스튬 조회/적용, CostumeManagerComponent 17슬롯, 아바타 유틸리티. DefaultPlayer뿐 아니라 모든 엔티티(NPC, 몬스터 등)에 적용 가능. Use for avatar costume get/set, CostumeManagerComponent 17 equip slots, avatar utilities. Keywords: costume, avatar, equip, slot, 코스튬, 아바타, 장비, 꾸미기, 모자, 상의, 하의, 무기.
Use this skill any time the user wants financial analysis, earnings research, or investment-related reports. This includes: earnings call summaries, quarterly financial analysis, stock research, equity research reports, financial due diligence, company valuations, DCF models, balance sheet analysis, income statement breakdowns, cash flow analysis, SEC filing summaries, investor memos, portfolio analysis, IPO analysis, M&A research, and credit analysis. Also trigger when: user says 分析财报, 做个估值, 股票研究, 财务尽调, 现金流分析, 收入分析, 季度财务分析. If financial research or analysis is needed, use this skill.
Generate professional company tear sheets using S&P Capital IQ data via the Kensho LLM-ready API MCP server. Use this skill whenever the user asks for a tear sheet, company one-pager, company profile, fact sheet, company snapshot, or company overview document — especially when they mention a specific company name or ticker. Also trigger when users ask for equity research summaries, M&A company profiles, corporate development target profiles, sales/BD meeting prep documents, or any concise single-company financial summary. This skill supports four audience types: equity research, investment banking/M&A, corporate development, and sales/business development. If the user doesn't specify an audience, ask. Works for both public and private companies.
Guide for modernizing legacy Python 2 scientific computing code to Python 3 with modern libraries. This skill should be used when migrating scientific scripts involving data processing, numerical computation, or analysis from Python 2 to Python 3, or when updating deprecated scientific computing patterns to modern equivalents (pandas, numpy, pathlib).
Replace the usage of `expect` and similar functions from `package:matcher` to `package:checks` equivalents.
Zig C interoperability skill. Use when calling C from Zig, calling Zig from C, using @cImport and @cInclude, running translate-c on C headers, defining extern structs and packed structs, matching C ABI types, or building mixed C/Zig projects. Activates on queries about @cImport, @cInclude, translate-c, extern struct, packed struct, Zig C ABI, calling C from Zig, exporting Zig to C, or bindgen equivalents.
UWP-to-WinUI 3 migration reference. Maps legacy UWP APIs to correct Windows App SDK equivalents with before/after code snippets. Covers namespace changes, threading (CoreDispatcher to DispatcherQueue), windowing (CoreWindow to AppWindow), dialogs, pickers, sharing, printing, background tasks, and the most common Copilot code generation mistakes.
File and directory operations using Claude Code built-in tools — replaces the Filesystem MCP server. Maps all 11 MCP tools to native equivalents: Read, Write, Edit, Glob, Grep, and Bash. Covers file reading with line ranges, parallel reads, pattern-based file search, regex content search, directory listing, tree traversal, move/copy/rename, and metadata inspection. Trigger phrases: "read this file", "write to file", "create a file", "edit file", "find files matching", "search for text in files", "list directory", "show directory tree", "move file", "rename file", "copy file", "file info", "find all Python files", "search codebase for". Use this skill when performing file operations, navigating codebases, or managing directories.
Audit, implement, and remediate Digital Personal Data Protection Act 2023 (DPDPA) compliance in any application codebase. Use this skill whenever the user mentions DPDPA, Indian data protection, personal data handling for Indian users, consent management, data breach notification, children's data protection in India, cross-border data transfer from India, privacy policy for Indian apps, Data Fiduciary obligations, Data Principal rights, or compliance auditing for Indian privacy law. Also trigger when the user asks to "audit my app for privacy", "check data protection compliance", "implement consent flows", "add breach notification", "handle children's data", "add data deletion/erasure", "implement right to access", "GDPR equivalent in India", or any task involving personal data processing for users in India. This skill covers code-level implementation, architecture review, compliance auditing with remediation, and organizational/process guidelines that fall outside application code.
Translate Cypher and Neo4j-style queries into HelixDB Rust DSL stored queries. Use when the input contains Cypher, Neo4j, MATCH, OPTIONAL MATCH, WHERE, RETURN, ORDER BY, LIMIT, DISTINCT, MERGE, CASE, UNWIND, FOREACH, DETACH DELETE, IS NULL, or variable-length path patterns and the goal is to produce an equivalent Helix Rust query.