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Meta-enforcement layer that routes EVERY agent action through the correct skill. MUST check this routing table before ANY response involving code, files, or technical decisions. Default: route to rune:cook for code tasks. Prevents rationalization, enforces check-before-act discipline.

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。

Rune-kit/rune862026年8月16日 更新

db

無料

Database workflow specialist. Generates migration files with rollback scripts, detects breaking schema changes, and validates query parameterization.

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。

Rune-kit/rune862026年8月16日 更新

safeguard

無料

Build safety nets before refactoring. Use when running surgeon or any risky refactor that needs a rollback point. Creates characterization tests, boundary markers, config freezes, and rollback points.

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。

Rune-kit/rune862026年8月16日 更新

Craft CMS 5 PHP coding standards and conventions. ALWAYS load when writing, editing, reviewing, or discussing any PHP in a Craft plugin or module — even small edits. Also when running ECS, PHPStan, or scaffolding with ddev craft make. Covers: PHPDoc blocks (@author, @since, @throws chains), section headers (=========), class organization, naming conventions (services, queue jobs, records, events, enums), defineRules() and validation, beforePrepare() and addSelect(), MemoizableArray, DateTimeHelper vs Carbon, strict_types/declare(strict_types=1), short nullable notation (?string), typed properties, void returns, control flow (early returns, match over switch), CP Twig template conventions, form macros, translations (Craft::t), ECS/PHPStan config, scaffolding commands, and the verification checklist.

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。

michtio/craftcms-claude-skills862026年10月16日 更新

Seed-stage growth playbook focused on channel selection and prioritization. Helps founders with product-market fit decide where to invest limited resources for maximum traction. By @WeiYipei.

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。

Gingiris-1031/gingiris-skills862026年10月15日 更新

It's 11pm before your launch. Your PH page is ready but you have no idea what actually moves the ranking algorithm. Upvotes? Comments? Time-of-day? This is the hour-by-hour operations manual from someone who's coached 30+ #1 finishes. What's inside: • Ranking algorithm deep-dive (it's not just upvotes — weighted factors decoded) • Launch day minute-by-minute checklist (PST timing, first 3 hours are critical) • Voter mobilization strategies (ethical, anti-spam-safe approaches) • Asset preparation templates (gallery, tagline ≤60 chars, maker comments) • Post-launch 72h momentum plan (convert PH traffic → retained users) Built from: 30+ PH #1 daily wins, 10+ weekly top 3, 2 monthly top 5. 3,000-5,000+ upvotes per launch. Triggers: "Product Hunt" | "PH launch" | "Product Hunt #1" | "PH ranking" | "Product Hunt strategy" | "PH upvotes" | "launch day" | "PH打榜" | "Product Hunt攻略" | "PH ranking algorithm"

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。

Gingiris-1031/gingiris-skills862026年10月15日 更新

The revenue-focused SaaS playbook for going from $0 to $50K MRR. Covers pricing experiments, churn reduction, activation optimization, and expansion revenue tactics. Follow @WeiYipei on X for SaaS growth insights.

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。

Gingiris-1031/gingiris-skills862026年10月15日 更新

Marketing playbook for open-source projects led by non-technical founders. Covers README optimization, community building, contributor attraction, and translating OSS traction into revenue. By @WeiYipei.

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。

Gingiris-1031/gingiris-skills862026年10月15日 更新

Design, prioritize and run measurable growth experiments across acquisition, activation, retention, referral and revenue. Use when a startup needs an experiment backlog, ICE/RICE prioritization, referral or UGC loops, rapid weekly testing, causal measurement, or stop conditions without spam, fake accounts or dark patterns.

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。

Gingiris-1031/gingiris-skills862026年10月15日 更新

Build and grow developer and user communities from scratch — covering ambassador programs, community-led growth (CLG), event operations, content strategy, and health metrics. Grounded in real playbooks from Notion, Lovable, AFFiNE, ClickUp, Asana, and Lark. Use when: building a community for an open-source project, SaaS product, or brand; recruiting and managing ambassadors or community leaders; planning community events (online/offline meetups, AMAs, hackathons); designing ambassador tier/points systems; setting community health KPIs; launching a Build-in-Public strategy; setting up Discord, Slack, or Lark communities; running developer relations (DevRel); or when the user asks about community operations, ambassador programs, CLG, user advocacy, KOC/KOL cultivation, UGC flywheels, community monetization, or any variation of "how do I grow my community".

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。

Gingiris-1031/gingiris-skills862026年10月15日 更新

GEO (Generative Engine Optimization) 引用追踪 + 优化(2026-06-24 标准)。每周对 4 大 AI(Claude/GPT/Perplexity/Gemini) 跑固定查询,检测回答里是否引用目标域名。对未被引用的页面补 Citable Statistics + AI 友好格式(一句话答+表格+FAQ)。 Bing IndexNow 推送确保大模型快速 discover/index。GA4 AI 来源流量监控。 当用户说"我有没有被 AI 引用"、"GEO 优化"、"llms.txt 更新"、"AI 引用追踪"时调用。 默认 B2B/开源;2C 产品(教育/应用)的查询选题与 Citable Stats 来源不同,见 gingiris-seo-geo/references/2c-adaptation.md。

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。

Gingiris-1031/gingiris-skills862026年10月15日 更新

Plan and run manual tests of the project's running app. Runs a session in one of five modes: exploratory, verification, smoke, assessment (UX, localization, accessibility, improvement review), or AI probe. Also writes a manual test plan that holds only what automated tests cannot judge. Use whenever the user asks, in any language, for something to be tested by hand or for a manual test plan — "manual test", "exploratory test", "bug hunt", "verify the bug fix", "smoke test", "QA this screen", "review this screen's UX", "what would you improve", "check the localized copy", "test the AI agent's answers", "write manual test cases", "kịch bản test manual" — or assigns a test design, test plan or test-case IDs to execute by hand. Not for writing automated tests.

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。

tronghieu/agent-skills842026年10月18日 更新

Act as a product-manager copilot that turns evidence into product decisions and artifacts: backlogs and prioritization, PRDs and user stories, metrics and OKRs, experiments, launch plans, feedback triage, and pricing/packaging, kept in a per-product workspace. Use whenever the user wants to decide what to build, spec it, or ship it: "write a PRD for…", "prioritize our backlog", "what should we build next", "plan OKRs", "define our north star metric", "design an A/B test", "plan the launch", "triage this customer feedback", "platform or feature?", in any language ("viết PRD", "ưu tiên tính năng nào", "quản lý sản phẩm", "プロダクト管理", "产品经理"), even when they never say "product manager". Also use when the user returns to a product workspace this skill created (a directory holding `product.md`, `state.md`, and `decisions.md`). Not for deep user discovery (design-thinking), desk market facts (market-researcher), or company-level bets (strategy-board).

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。

tronghieu/agent-skills842026年10月18日 更新

Create high-quality, model-aware system prompts for any LLM (Claude, GPT, Gemini, open-source, etc.). Use this skill whenever the user wants to create, write, build, design, draft, or improve a system prompt, system instructions, or custom instructions for any AI model. Also trigger when the user asks about prompt engineering, prompt design, prompt optimization, or wants to define behavior for an AI assistant, chatbot, agent, or any LLM-powered application — even if they don't explicitly say "system prompt". Covers all use cases including chatbots, agentic systems, tool-use workflows, content generation, data extraction, code assistants, and multi-turn conversations.

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。

tronghieu/agent-skills842026年10月18日 更新

A C-level strategy advisory board, run as a team of named specialist agents, that takes an executive from a raw strategic question to a defended, board-ready recommendation. Use this skill whenever the user faces a significant business decision or wants strategic analysis — market entry, build-vs-buy, M&A, digital transformation, annual planning, portfolio prioritization, pricing, a big investment, a competitive threat, a turnaround. Trigger on requests like "should we invest in / build / buy / enter…", "develop a strategy for…", "evaluate this opportunity", "make the business case", "stress-test this plan", "run a pre-mortem", or "prepare a board presentation" — in any language, even when the user doesn't say the word "strategy". Also trigger when the user names a board member (Drucker, Porter, Christensen, Graham, Grove, Wack, Taleb, Minto) or asks to convene the board / open a boardroom session.

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。

tronghieu/agent-skills842026年10月18日 更新

Reviews tokio async runtime usage for task management, sync primitives, channel patterns, and runtime configuration. Covers Rust 2024 edition changes including async fn in traits, RPIT lifetime capture, LazyLock, and if-let temporary scoping. Use when reviewing Rust code that uses tokio, async/await patterns, spawn, channels, or async synchronization. Also covers tokio-util, tower, and hyper integration patterns.

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。

existential-birds/beagle842026年9月16日 更新

Advanced React Flow patterns for complex use cases. Use when implementing sub-flows, custom connection lines, programmatic layouts, drag-and-drop, undo/redo, or complex state synchronization.

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。

existential-birds/beagle842026年9月16日 更新

Reviews HealthKit code for authorization patterns, query usage, background delivery, and data type handling. Use when reviewing code with import HealthKit, HKHealthStore, HKSampleQuery, HKObserverQuery, or HKQuantityType.

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。

existential-birds/beagle842026年9月16日 更新

Review implementation plans for parallelization, TDD, types, libraries, and security before execution

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。

existential-birds/beagle842026年9月16日 更新

Use when the user wants to build or think through a strategy via guided conversation — for a company, product, team, career, or initiative. Triggers on "help me figure out our direction", "what should we focus on", strategic planning, competitive positioning, go-to-market strategy. Also catches indirect requests like prioritization struggles or "we have too many priorities". Does NOT review existing strategy documents (use strategy-review) or brainstorm project features (use brainstorm-beagle).

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。

existential-birds/beagle842026年9月16日 更新

Spending analysis and custom budget builder. Analyzes spending patterns using 50/30/20 rule, zero-based budgeting, or envelope method. Categorizes expenses, identifies waste, suggests cuts, and produces a 12-month budget. Use when the user says "/finance budget", "build me a budget", "analyze my spending", "where is my money going", or asks about expense optimization.

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。

zubair-trabzada/ai-finance-claude802026年5月13日 更新

Financial goal planner. Takes any goal (house down payment, college fund, wedding, sabbatical, business launch, car, vacation) and builds the required savings amount, monthly contribution, timeline, investment vehicle recommendation, milestone checkpoints, and adjustment scenarios. Supports multiple simultaneous goals with prioritization logic. Produces FINANCE-GOALS.md.

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。

zubair-trabzada/ai-finance-claude802026年5月13日 更新

Investment portfolio analyzer. Audits current allocation vs target, asset class diversification (stocks, bonds, real estate, alternatives), expense ratios, tax efficiency, rebalancing needs, factor tilts (value, momentum, quality), three-fund portfolio fit, target-date fund analysis, and Boglehead-style optimization. Produces FINANCE-PORTFOLIO.md with a portfolio score, specific rebalancing trades, and fund swap recommendations.

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。

zubair-trabzada/ai-finance-claude802026年5月13日 更新

Retirement projection with Monte Carlo simulation logic. Calculates required nest egg via 4% rule and 25x expenses, projected vs needed gap, contribution recommendations, asset allocation by age, Social Security claim optimization, healthcare cost projections, and withdrawal sequence planning. Use when the user says "/finance retirement", "am I on track for retirement", "how much do I need to retire", "Social Security timing", or any retirement question.

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。

zubair-trabzada/ai-finance-claude802026年5月13日 更新