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Found 571 Skills
Build and maintain a personal knowledge base using Karpathy's llm-wiki methodology across Claude Code, Codex, and OpenClaw agents.
Search Experience Optimization: reads Google SERPs backwards to detect page-type mismatches, derives user stories from search intent signals, and scores pages from multiple persona perspectives. Identifies why well-optimized pages fail to rank by analyzing what Google rewards for each keyword. Use when user says "SXO", "search experience", "page type mismatch", "SERP analysis", "user story", "persona scoring", "why isn't my page ranking", "intent mismatch", or "wireframe".
Use when bootstrapping a new personal wiki for any knowledge domain — research, codebase documentation, reading notes, competitive analysis, or any long-term knowledge accumulation project.
NetEase Cloud Music skill for searching songs, managing playlists, getting personalized recommendations, and controlling playback via ncm-cli. Use when user wants to search music, play songs, manage playlists, or get music recommendations.
Design and create a simulation persona for testing an AI agent. Guides through use case selection, voice and language configuration, behavior prompt crafting, and interruption calibration. Use when user says "create a persona", "design a persona", "set up a test persona", "configure simulation persona", or "build a caller profile".
B2B outbound enrichment для Казахстана: компания (название или БИН) → идентификация ЛПР → personal context per ЛПР → одно полное персонализированное письмо для главного ЛПР. Работает на free-стеке (WebSearch, WebFetch, adata.kz, hh.kz, telegram-channel-parser), опционально подхватывает paid интеграции (Apify, goszakup token, Scrape.do). Triggers: enrich and pitch, обогащение и сообщения, контекст-360, контекст 360, outbound research, найти ЛПР и написать, personalized outreach, исходящий контакт KZ, персонализированное сообщение, изучить компанию казахстан.
Consult an advisory council of three AI personas — Cato (skeptic), Ada (optimist), Marcus (pragmatist) — backed by different frontier LLM agents (Gemini, Claude, Codex). Each persona runs as a separate agent process with full repo context and returns independent feedback. Use when the user says "/council", asks for a second opinion, wants feedback on code changes, needs a premortem, wants to pressure-test a decision, or asks "what do you think about this approach?" Claude may also proactively suggest consulting the council before major architectural decisions, risky deploys, or ambiguous trade-offs (but should ask for user approval first).
TasteRay API integration for personalized recommendations across verticals (movies, restaurants, products, travel, jobs). Use when you need to: (1) recommend movies, restaurants, products, travel, or jobs, (2) answer "what would I like" questions, (3) provide personalized recommendations based on preferences, (4) rank or score items for a user, (5) explain why something matches a user's taste, (6) build recommendation context from conversation, (7) integrate psychological profiles with recommendation systems.
Use when adding a new project to the user's personal site and resume, or when the user says to make something "live". Covers updating both arjit-me and arjit-resume, compiling the PDF, and pushing.
Research methodologies, user interviews, surveys, usability testing, persona creation, and insight extraction
Use ezBookkeeping API Tools script to record new transactions, query transactions, retrieve account information, retrieve categories, retrieve tags, and retrieve exchange rate data in the self hosted personal finance application ezBookkeeping.
Use when self-hosting OpenClaw on a Linux VPS or cloud server, hardening a remote OpenClaw gateway, choosing between SSH tunneling, Tailscale, or reverse-proxy exposure, or reviewing Podman, pairing, sandboxing, token auth, and tool-permission defaults for a secure personal deployment.