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Found 915 Skills
Joel's writing voice and style guide for joelclaw.com content. Use when writing, editing, or reviewing any blog post, essay, book chapter, or prose content for joelclaw.com. Also use when asked to 'write like Joel,' 'match Joel's voice,' 'draft a post,' 'write content for the blog,' or 'review this for voice.' This skill captures Joel's specific writing patterns derived from ~90,000 words of published content spanning 2012–2026. Cross-reference with copy-editing and copywriting skills for marketing-specific copy.
Apple HIG guidance for Apple technology integrations: Siri, Apple Pay, HealthKit, HomeKit, ARKit, machine learning, generative AI, iCloud, Sign in with Apple, SharePlay, CarPlay, Game Center, in-app purchase, NFC, Wallet, VoiceOver, Maps, Mac Catalyst, and more. Use when asked about: "Siri integration", "Apple Pay", "HealthKit", "HomeKit", "ARKit", "augmented reality", "machine learning", "generative AI", "iCloud sync", "Sign in with Apple", "SharePlay", "CarPlay", "in-app purchase", "NFC", "VoiceOver", "Maps", "Mac Catalyst". Also use when the user says "how do I integrate Siri," "what are the Apple Pay guidelines," "how should my AR experience work," "how do I use Sign in with Apple," or asks about any Apple framework or service integration. Cross-references: hig-inputs for input methods, hig-components-system for widgets.
Apple HIG guidance for navigation-related components including search fields, page controls, and path controls. Use this skill when the user says "how should search work in my app," "I need a breadcrumb," "how do I paginate content," or asks about search field, search bar, page control, path control, breadcrumb, navigation component, search UX, search suggestions, search scopes, paginated content navigation, or file path hierarchy display. Cross-references: hig-components-menus, hig-components-controls, hig-components-dialogs, hig-patterns.
Apple HIG guidance for selection and input controls including pickers, toggles, sliders, steppers, segmented controls, combo boxes, text fields, text views, labels, token fields, virtual keyboards, rating indicators, and gauges. Use this skill when the user says "picker or segmented control," "how should my form look," "what keyboard type should I use," "toggle vs checkbox," or asks about picker design, toggle, switch, slider, stepper, text field, text input, segmented control, combo box, label, token field, virtual keyboard, rating indicator, gauge, form design, input validation, or control state management. Cross-references: hig-components-menus, hig-components-dialogs, hig-components-search.
Deep-dive analysis of GitHub projects. Use when the user mentions a GitHub repo/project name and wants to understand it — triggered by phrases like "help me look at this project", "learn about XXX", "how is this project", "analyze the repo", or any request to explore/evaluate a GitHub project. Covers architecture, community health, competitive landscape, and cross-platform knowledge sources.
Cross-compilation with GCC skill for embedded and multi-architecture targets. Use when setting up cross-gcc toolchains, configuring sysroots, building for ARM/AArch64/RISC-V/MIPS from an x86-64 host, troubleshooting wrong-architecture errors, or running cross-compiled binaries under QEMU. Activates on queries about cross-compilation triplets, sysroot, pkg-config for cross builds, embedded toolchains, or Yocto/Buildroot integration.
BullMQ queue system reference for Redis-backed job queues, workers, flows, and schedulers. Use when: (1) creating queues and workers with BullMQ, (2) adding jobs (delayed, prioritized, repeatable, deduplicated), (3) setting up FlowProducer parent-child job hierarchies, (4) configuring retry strategies, rate limiting, or concurrency, (5) implementing job schedulers with cron/interval patterns, (6) preparing BullMQ for production (graceful shutdown, Redis config, monitoring), or (7) debugging stalled jobs or connection issues
Guides implementation of agent memory systems, compares production frameworks (Mem0, Zep/Graphiti, Letta, LangMem), and designs persistence architectures for cross-session knowledge retention. Use when the user asks to "implement agent memory", "persist state across sessions", "build knowledge graph for agents", "track entities over time", "add long-term memory", "choose a memory framework", or mentions temporal knowledge graphs, vector stores, entity memory, or memory benchmarks (LoCoMo, LongMemEval).
Chat with web AI agents (ChatGPT, Gemini, Claude, Grok, NotebookLM) via browser automation. Use when stuck, need cross-validation, or want a second-model review.
Archive session learnings, debugging solutions, and deployment logs to .archive/yyyy-mm-dd/ as indexed markdown with searchable tags. Use when completing a significant task, resolving a tricky bug, deploying, or when the user says "archive this". Maintains .archive/MEMORY.md index for cross-session knowledge reuse.
Unified setup hub: project init, tool setup, 2-agent config, harness-mem, codex CLI, and rule localization. Use when user mentions setup, initialization, new projects, workflow files, CI setup, LSP setup, MCP setup, codex setup, opencode setup, 2-Agent setup, PM coordination, Cursor setup, harness-mem, claude-mem integration, cross-session memory, localize rules, adapt rules. Do NOT load for: implementation work, reviews, build verification, or deployments.
One-click comprehensive analysis of cryptocurrencies. Collect data from five dimensions - price, news sentiment, sector comparison, market environment, and project fundamentals - through parallel sub-agents, and output an HTML report (including 24-hour market trends and 7-day trends) after cross-analysis. Trigger phrases: Analyze BTC, analyze ETH, How is Bitcoin?, Is SOL worth buying?