Stage exploration before instruction on complex problems. The learner produces two attempted approaches before consolidation — which builds on those attempts, not from scratch. Use for genuinely hard problems where struggle produces deeper learning.
日本語の概要は準備中です。原文の説明を表示しています。
GarethManning/education-agent-skills☆ 8562026年8月29日 更新
Expert patterns for multi-platform exports including export templates (Windows/Linux/macOS/Android/iOS/Web), command-line exports (headless mode), platform-specific settings (codesign, notarization, Android SDK), feature flags (OS.has_feature), CI/CD pipelines (GitHub Actions), and build optimization (size reduction, debug stripping). Use for release preparation or automated deployment. Trigger keywords: export_preset, export_template, headless_export, platform_specific, feature_flag, CI_CD, build_optimization, codesign, Android_SDK.
日本語の概要は準備中です。原文の説明を表示しています。
thedivergentai/Game-Dev-Agentic-Skills☆ 8502026年10月14日 更新
Expert patterns for porting desktop games to mobile including touch control schemes (virtual joystick, gesture detection), UI scaling for small screens, performance optimization for mobile GPUs, battery life management, and platform-specific features. Use when creating mobile ports or cross-platform mobile builds. Trigger keywords: TouchScreenButton, virtual_joystick, gesture_detector, InputEventScreenTouch, InputEventScreenDrag, mobile_optimization, battery_saving, adaptive_performance, MOBILE_ENABLED.
日本語の概要は準備中です。原文の説明を表示しています。
thedivergentai/Game-Dev-Agentic-Skills☆ 8502026年10月14日 更新
Expert patterns for multi-platform exports including export templates (Windows/Linux/macOS/Android/iOS/Web), command-line exports (headless mode), platform-specific settings (codesign, notarization, Android SDK), feature flags (OS.has_feature), CI/CD pipelines (GitHub Actions), and build optimization (size reduction, debug stripping). Use for release preparation or automated deployment. Trigger keywords: export_preset, export_template, headless_export, platform_specific, feature_flag, CI_CD, build_optimization, codesign, Android_SDK.
日本語の概要は準備中です。原文の説明を表示しています。
thedivergentai/Game-Design-Agentic-Skills☆ 8502026年10月13日 更新
Expert patterns for porting desktop games to mobile including touch control schemes (virtual joystick, gesture detection), UI scaling for small screens, performance optimization for mobile GPUs, battery life management, and platform-specific features. Use when creating mobile ports or cross-platform mobile builds. Trigger keywords: TouchScreenButton, virtual_joystick, gesture_detector, InputEventScreenTouch, InputEventScreenDrag, mobile_optimization, battery_saving, adaptive_performance, MOBILE_ENABLED.
日本語の概要は準備中です。原文の説明を表示しています。
thedivergentai/Game-Design-Agentic-Skills☆ 8502026年10月13日 更新
Start (or restart) a local Temps control plane built from this checkout, and the web dev server (`bun dev`) in `<checkout>/web`. Invoke when the user says "start temps", "restart temps", "launch the server", "kill and restart temps", or asks to bring the local server up after backend changes. Ports, database and data dir are allocated PER CHECKOUT (a "slot") so several worktrees/branches run side by side without killing each other or corrupting each other's schema — the first checkout you start in claims slot 0 (the familiar `:8080` / `:3000`); every other worktree gets its own slot and its own `temps_s<N>` database. Uses the `fast` cargo profile (release semantics, no debug symbols, parallel codegen) for quick rebuilds. Pass `split` (e.g. "start temps split", "/start-temps split") to launch the two-process proxy/console topology for testing that feature.
日本語の概要は準備中です。原文の説明を表示しています。
gotempsh/temps☆ 8402026年10月14日 更新
Pre-earnings analysis for A-share stocks. Builds scenario frameworks (actual vs consensus, beat/miss cases), identifies key metrics to watch, and prepares positioning notes before Chinese companies report quarterly results. Use instead of the original earnings-preview skill for A-share coverage. Triggers on "A股财报前瞻", "季报前瞻", "业绩前瞻", "earnings preview", "what to watch for [company] earnings", or "pre-earnings setup".
日本語の概要は準備中です。原文の説明を表示しています。
jwangkun/claude-for-financial-services-cn☆ 8332026年9月14日 更新
Generate CI/CD configuration for automated builds, tests, and distribution of iOS/macOS apps. Use when setting up GitHub Actions, Xcode Cloud, or fastlane for continuous integration, TestFlight, or App Store deployment.
日本語の概要は準備中です。原文の説明を表示しています。
rshankras/claude-code-apple-skills☆ 7962026年7月24日 更新
Generates a developer debug menu with feature flag toggles, environment switching, network log viewer, cache clearing, crash trigger, and diagnostic info export. Only included in DEBUG builds. Use when user wants a debug panel, dev tools menu, or shake-to-debug functionality.
日本語の概要は準備中です。原文の説明を表示しています。
rshankras/claude-code-apple-skills☆ 7962026年7月24日 更新
This package builds on existing tools and adds some simple but extremely useful capabilities for working wth ChIP-Seq data. The focus is on detecting differential binding windows/regions. One set of functions focusses on set-operations retaining mcols for GRanges objects, whilst another group of functions are to aid visualisation of results. Coercion to tibble objects is also implemented.
日本語の概要は準備中です。原文の説明を表示しています。
bioMate-AI/biomate-bioconductor-kb☆ 7962026年6月21日 更新
Expert knowledge for Azure Business Process Tracking development including deployment. Use when creating CI/CD pipelines, automating builds, running tests, and deploying tracking solutions via DevOps tools, and other Azure Business Process Tracking related development tasks. Not for Azure Monitor (use azure-monitor), Azure Logic Apps (use azure-logic-apps), Azure Data Factory (use azure-data-factory), Azure Machine Learning (use azure-machine-learning).
日本語の概要は準備中です。原文の説明を表示しています。
MicrosoftDocs/Agent-Skills☆ 7792026年10月11日 更新
Two-phase contributor rewards - plan builds a tier-priced payout from the repo's merged-PR ranking; send executes it on-chain via Bankr Wallet API with per-recipient idempotency and dry-run.
日本語の概要は準備中です。原文の説明を表示しています。
aeonfun/aeon☆ 7742026年10月14日 更新
Interactive loop that builds and tunes an AI prompt for evaluating whether a company fits a client's ICP. Run after any list-building skill (disco-like, blitz-list-builder, google-maps-list-builder, prospeo-full-export) to qualify companies before scaling. Iterates batches of 10 companies with user feedback, stops when 2 consecutive rounds have zero corrections, saves the final prompt for reuse. Always uses Claude Code Task sub-agents — never an external API key.
日本語の概要は準備中です。原文の説明を表示しています。
growthenginenowoslawski/coldoutboundskills☆ 7642026年10月6日 更新
Use when a user gives or references a webpage URL and wants to extract, reproduce, port, or locally replay a WebGL, WebGPU, Canvas, shader-like, animated background, interactive 3D, or web visual effect. Locks the target rendering surface group, records shader/resource/render graph/timing/input evidence, builds an evidence-matched local baseline, then projectizes it. Do not use for ordinary DOM/CSS page cloning.
日本語の概要は準備中です。原文の説明を表示しています。
lixiaolin94/skills☆ 7642026年7月3日 更新
Lead substantial Codex builds with one configured implementation worker and lead acceptance. Use when the user requests codex-on-crack, names a model to delegate work to, asks to run subagents through Claude, or requests a lead/worker split. Keep host-only work direct; honor explicit external model choices. Workers must not invoke this orchestrator.
日本語の概要は準備中です。原文の説明を表示しています。
ethanplusai/codex-on-crack☆ 7552026年10月4日 更新
Plan and execute substantial multi-file builds, features, migrations, and refactors with Astra as orchestrator and DeepSeek V4.1 Flash as the native Codex implementation worker. Use for phased planning and delegated build execution, including existing Superpowers or GSD plans. Skip trivial edits and explicitly single-agent tasks. Worker children must not invoke this orchestration skill.
日本語の概要は準備中です。原文の説明を表示しています。
ethanplusai/codex-on-crack☆ 7552026年10月4日 更新
Builds lead generation systems using Alex Hormozi's Core Four framework (warm outreach, content, cold outreach, paid ads), lead magnets, and Rule of 100. Use when designing customer acquisition, scaling advertising, choosing marketing channels for revenue stage, building referral programs, or fixing low lead flow. Covers lead magnets, LTGP:CAC math, More Better New scaling, and Lead Getters (referrals, employees, agencies, affiliates).
日本語の概要は準備中です。原文の説明を表示しています。
getagentseal/founder-playbook☆ 7512026年10月7日 更新
Add a measured sound pass to a motion-graphics video made with Claude Code (HyperFrames, Remotion, GSAP, Claude Motion or the motion-broll skill). Builds a cue list, checks the music's beat grid against the kick drums, lands cuts on the beat, places one real sound effect per cue from a bundled CC0 library, mixes to -16 LUFS with true peaks below -4 dBFS measured on the exported MP4, and proves it with frames, waveforms and 5 timestamps for a human to check. Use when someone wants sound effects, sound design or music added to a motion-graphics video, or says their AI video sounds like cheap beeps.
日本語の概要は準備中です。原文の説明を表示しています。
Barty-Bart/motion-graphics☆ 6702026年10月13日 更新
Use when setting up providers, consuming state, optimizing rebuilds, using ProxyProvider, or migrating from deprecated providers (Provider package).
日本語の概要は準備中です。原文の説明を表示しています。
evanca/flutter-ai-rules☆ 6512026年10月10日 更新
Use when setting up ChangeNotifier models, providing them to the widget tree, consuming state with Consumer or Provider.of, or optimizing rebuilds.
日本語の概要は準備中です。原文の説明を表示しています。
evanca/flutter-ai-rules☆ 6512026年10月10日 更新
Monthly, and on its first run it is the whole setup, launched by hand. It discovers what the member actually runs by walking their code roots and reading the registrar, the host, and the hosted database, then writes the inventory, the domains file, the starting budgets, and the opening safe fix rules, seeds the board, builds the dashboard, and registers one scheduled job per routine. It creates no account, buys nothing, and provisions nothing.
日本語の概要は準備中です。原文の説明を表示しています。
markfulton/ai-employees☆ 6132026年10月10日 更新
Runs once by hand on the first day and once a month after that. On the first run it researches the business from its own public surfaces before asking anything, reads the account structure once, writes the plan folder, seeds the board, creates the creative doctrine, builds the dashboard, and registers the recurring jobs. It asks about exactly two things, the monthly ceiling and the daily cap, because those are the two numbers that decide how much money can leave. On every monthly run it re reads the evidence, corrects what the ledgers prove wrong, and reconciles drift.
日本語の概要は準備中です。原文の説明を表示しています。
markfulton/ai-employees☆ 6132026年10月10日 更新
Weekly, browser heavy. Unions every sitemap each property declares without a browser, builds the candidate set from URLs not already in the indexing ledger, then drives the member's own search performance console to inspect each candidate and request indexing inside an account wide allowance. Spends what is left on sitemap health, which is unmetered. It inspects, requests, and views or submits sitemaps inside that console and does nothing else there, ever, and it never removes a sitemap.
日本語の概要は準備中です。原文の説明を表示しています。
markfulton/ai-employees☆ 6132026年10月10日 更新
Monthly, browser conditional. On its first run it discovers the member's properties from the sites they name, writes the three strategy files, creates every ledger and folder the kit reads, files the opening cards, and registers the eight scheduled jobs. Every month after that it re-reads the evidence rather than its own previous conclusions, rebuilds the topic map and the internal link map, corrects any property fact it can prove wrong, and records every change with the path of the evidence that forced it. It holds publishing and spending unless you released the channel, and it never touches a credential.
日本語の概要は準備中です。原文の説明を表示しています。
markfulton/ai-employees☆ 6132026年10月10日 更新