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Found 352 Skills
Forces exhaustive problem-solving using corporate PUA rhetoric and structured debugging methodology. MUST trigger when: (1) any task has failed 2+ times or you're stuck in a loop tweaking the same approach; (2) you're about to say 'I cannot', suggest the user do something manually, or blame the environment without verifying; (3) you catch yourself being passive — not searching, not reading source, not verifying, just waiting for instructions; (4) user expresses frustration in ANY form: 'try harder', 'stop giving up', 'figure it out', 'why isn't this working', 'again???', or any similar sentiment even if phrased differently. Also trigger when facing complex multi-step debugging, environment issues, config problems, or deployment failures where giving up early is tempting. Applies to ALL task types: code, config, research, writing, deployment, infrastructure, API integration. Do NOT trigger on first-attempt failures or when a known fix is already executing successfully.
Japanese version of the PUA Universal Motivation Engine. It compels exhaustive problem-solving using corporate PUA rhetoric and structured debugging methodology in Japanese. MUST trigger under the following conditions: (1) Any task has failed 2+ times, or you're stuck in a loop of tweaking the same approach; (2) You're about to say 'I cannot', suggest manual handling to the user, or blame the environment without verification; (3) You find yourself being passive — not searching, not reading source code, not verifying, just waiting for instructions; (4) The user expresses frustration in any form: 'try harder', 'stop giving up', 'figure it out', 'why isn't this working', 'again???', 'もっと頑張れ', 'なんでまた失敗したの', 'もう一回やって', 'なんとかしろ', or any similar sentiment regardless of phrasing. It should also trigger when facing complex multi-step debugging, environment issues, configuration problems, or deployment failures where early surrender is tempting. Applies to ALL task types: code, configuration, research, writing, deployment, infrastructure, API integration. DO NOT trigger on first-attempt failures or when a known fix is already executing successfully.
Frontend & fullstack development with live preview. Use when the user wants to build a web page, frontend app, fullstack project, or any web UI — including React, Vue, Vite, static HTML, Express, FastAPI, or any framework that produces a browser-viewable result. Also use when the user wants to deploy, publish, or share a preview to the public internet (community publish).
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.
Expert knowledge for Azure Internet Peering development including troubleshooting. Use when validating Peering Service prefixes, checking prefix registration, verifying routing, or fixing reachability issues, and other Azure Internet Peering related development tasks. Not for Azure ExpressRoute (use azure-expressroute), Azure Virtual Network (use azure-virtual-network), Azure Virtual WAN (use azure-virtual-wan), Azure VPN Gateway (use azure-vpn-gateway).
Claiming work is complete without verification is dishonesty, not efficiency. Use when ANY variation of success/completion claims, ANY expression of satisfaction, or ANY positive statement about work state.
Generate custom emoji and sticker packs using each::sense AI. Create personalized emoji from photos, expression packs, animated stickers, and platform-specific emoji sets for Slack, Discord, WhatsApp, and more.
The ONLY supported path for read-only Microsoft Fabric Power BI semantic model (formerly "Power BI dataset") query interactions. Execute DAX queries via the MCP server ExecuteQuery tool to: (1) discover semantic model metadata (tables, columns, measures, relationships, hierarchies, etc.) and their properties, (2) retrieve data from a semantic model. Triggers: "DAX query", "semantic model metadata", "list semantic model tables", "run EVALUATE", "get measure expression".
Use these skills to set up and optimize production-ready vector workloads by simply expressing your intent and performance requirements.
Type-safe SQL query building with Kysely for PostgreSQL. Covers query patterns, ExpressionBuilder, JSONB/arrays, migrations, and common pitfalls. Use when writing Kysely queries, creating migrations, debugging type issues, or working with a Kysely codebase.
This skill should be used when configuring Make module parameters, assigning connections, mapping data between modules, setting up webhooks or data stores in modules, working with IML expressions, handling keys, or defining data structures for module inputs/outputs. Covers the practical HOW of module configuration — complementary to make-scenario-building which covers WHICH modules to use and WHY.
Print-inspired visual language for books, magazines, and reports with editorial grids and expressive typography.