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Found 13,658 Skills
Find 10x product opportunities and high-leverage improvements. Use when user wants strategic product thinking, mentions '10x', wants to find high-impact features, or says 'what would make this 10x better', 'product strategy', or 'what should we build next'.
Analyze recent code changes via git history and extract software engineering lessons. Use when the user asks 'what is the lesson here?', 'what can I learn from this?', 'engineering takeaway', 'what did I just learn?', 'reflect on this code', or wants to extract principles from recent work.
Quick remote sync shortcut. Use when user says "/sync", "동기화", "pull", "git pull", or wants to pull latest changes from remote. Defaults to pulling from origin main.
Creates detailed, sectionized implementation plans through research, stakeholder interviews, and multi-LLM review. Use when planning features that need thorough pre-implementation analysis.
Skill for converting an installed Firebase Extension (or extension source) to a standalone Cloud Functions for Firebase codebase or publishable npm package, including upgrading triggers from V1 to V2 and configuring lifecycle hooks and declarative security
Add authentication (passkeys/OAuth) to the current Convex app, including the auth.config.ts wiring.
Preview Convex spend — rank functions by bytes/documents-read × call-volume from insights, project each cost driver's growth curve, name the cheapest fix; confirm-cost for paid actions.
Read the Convex deployment's 72h insights (read limits, OCC contention), root-cause each event in code, report evidence-backed perf/cost findings with fixes.
Point a domain you already own at your Convex app (DNS records, custom-domain attach, auth-origin rebind).
Seed or import data into the Convex database.
Pull version-current Convex docs for the version this project uses — pin the installed version, fetch page-as-markdown or check node_modules types, freshness hierarchy — instead of writing a possibly-stale API from memory.
Query a running Convex app's logs + health in natural language (official MCP): failures, slow/expensive functions, deploy causality — scoped, evidence-backed, with a dashboard deep link.