When the user wants to optimize signup, registration, account creation, or trial activation flows. Also use when the user mentions "signup conversions," "registration friction," "signup form optimization," "free trial signup," "reduce signup dropoff," "account creation flow," "people aren't signing up," "signup abandonment," "trial conversion rate," "nobody completes registration," "too many steps to sign up," or "simplify our signup." Use this whenever the user has a signup or registration flow that isn't performing. For post-signup onboarding, see onboarding. For lead capture forms (not account creation), see cro.
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。
nota-america/forgecat-agent-profiles☆ 912026年9月24日 更新
When the user wants to optimize post-signup onboarding, user activation, first-run experience, or time-to-value. Also use when the user mentions "onboarding flow," "activation rate," "user activation," "first-run experience," "empty states," "onboarding checklist," "aha moment," "new user experience," "users aren't activating," "nobody completes setup," "low activation rate," "users sign up but don't use the product," "time to value," or "first session experience." Use this whenever users are signing up but not sticking around. For signup/registration optimization, see signup. For ongoing email sequences, see emails.
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。
nota-america/forgecat-agent-profiles☆ 912026年9月24日 更新
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test two versions," "statistical significance," "how long should I run this test," "growth experiments," "experiment velocity," "experiment backlog," "ICE score," "experimentation program," or "experiment playbook." Use this whenever someone is comparing two approaches and wants to measure which performs better, or when they want to build a systematic experimentation practice. For tracking implementation, see analytics. For page-level conversion optimization, see cro.
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。
nota-america/forgecat-agent-profiles☆ 912026年9月24日 更新
When the user wants to optimize, improve, or increase conversions on any marketing page or form — including homepage, landing pages, pricing pages, feature pages, lead capture forms, or contact forms. Also use when the user says 'CRO,' 'conversion rate optimization,' 'this page isn't converting,' 'improve conversions,' 'why isn't this page working,' 'my landing page sucks,' 'form abandonment,' 'nobody's converting,' 'low conversion rate,' or 'this page needs work.' Use this even if the user just shares a URL and asks for feedback. For signup/registration flows, see signup. For post-signup activation, see onboarding. For popups/modals, see popups.
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。
nota-america/forgecat-agent-profiles☆ 912026年9月24日 更新
Optimizes application performance across frontend, backend, queries, and databases. Use when performance requirements exist, when you suspect performance regressions, when Core Web Vitals or load times need improvement, when N+1 query patterns need fixing, or when profiling reveals bottlenecks.
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。
nota-america/forgecat-agent-profiles☆ 912026年9月24日 更新
When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform. Also use when the user mentions 'ad copy variations,' 'ad creative,' 'generate headlines,' 'RSA headlines,' 'bulk ad copy,' 'ad iterations,' 'creative testing,' 'ad performance optimization,' 'write me some ads,' 'Facebook ad copy,' 'Google ad headlines,' 'LinkedIn ad text,' or 'I need more ad variations.' Use this whenever someone needs to produce ad copy at scale or iterate on existing ads. For campaign strategy and targeting, see ads. For landing page copy, see copywriting.
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。
nota-america/forgecat-agent-profiles☆ 912026年9月24日 更新
When the user wants to submit their product to startup, SaaS, AI, agent, MCP, no-code, or review directories for backlinks, domain rating, and discovery. Also use when the user mentions "directory submissions," "submit to directories," "backlinks from directories," "list my product," "submit to Product Hunt," "BetaList," "TAAFT," "Futurepedia," "G2 listing," "Capterra listing," "AlternativeTo," "SaaSHub," "AI directories," "MCP registry," "agent directory," "dofollow backlinks," "launch directories," or "directory tracker." Use this whenever someone is planning the directory layer of a product launch or an ongoing backlink campaign. For the broader launch moment, see launch. For programmatic SEO pages that should live behind these backlinks, see programmatic-seo. For AI citation optimization, see ai-seo.
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。
nota-america/forgecat-agent-profiles☆ 912026年9月24日 更新
Runs the evals of a BMad skill through the agent harness the user works in and reports what they show: baseline against the bare model, variant against a stripped or prior version, quality against a rubric, and trigger accuracy of the description with an optional optimization loop. Use when the user asks to evaluate, benchmark, test the triggers of, grade, or compare versions of a skill, or when the bmad-toolsmith skill asks for an eval of a skill it built.
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。
alvin-reyes/better-agentic-ide☆ 902026年10月16日 更新
SEO-friendly article writing, audit, and humanization workflow for Markdown content. Use when creating, outlining, editing, auditing, rewriting, or quality-checking blog posts, tutorials, comparisons, listicles, explainers, FAQ sections, excerpts, SEO titles, meta descriptions, tags, or Google-friendly content briefs that need clear topics, natural keyword use, on-page SEO review, reader-friendly prose, and iterative 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。
flaqai/Awesome_SEO_Writing_Skill☆ 892026年8月13日 更新
Analyze Trigger.dev tasks, schedules, and runs for cost optimization opportunities. Use when asked to reduce spend, optimize costs, audit usage, right-size machines, or review task efficiency. Combines static source analysis with live run analysis via the Trigger.dev MCP tools (list_runs, get_run_details, get_current_worker).
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。
code-with-antonio/browser-automation-app☆ 882026年7月18日 更新
Investigate performance bottlenecks and validate optimizations without weakening retrieval quality or correctness.
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。
morluto/leantoken☆ 872026年10月17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-skills☆ 842026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-skills☆ 842026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-skills☆ 842026年10月15日 更新
Tax optimization strategies analyzer. Identifies high-impact tax savings across tax-loss harvesting, tax-advantaged accounts (401k, IRA, HSA), Roth conversions, backdoor and mega backdoor Roth, charitable giving, business deductions, capital gains harvesting, state tax minimization, and estate tax planning. Produces FINANCE-TAXES.md with prioritized strategies and estimated annual tax savings.
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-claude☆ 802026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-claude☆ 802026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-claude☆ 802026年5月13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-claude☆ 802026年5月13日 更新
Marketingbilder rechtebewusst planen, erzeugen, bearbeiten, optimieren und prüfen. Nutze diesen Skill für Bildbriefings, Produktscreenshots und Mock-ups, generative Bilder, Stock- und Lizenzrouten, Bildbearbeitung, Formate und Komprimierung sowie deutsche Alt-Texte. Klärt Herkunft und Nutzungsrechte vor der Produktion, beachtet Persönlichkeits-, Marken- und Urheberrecht, verlangt Kennzeichnung wo nötig und schließt erfundene Produktansichten und unbelegte Bildaussagen aus. Nicht gedacht für Logos, Design-Systeme und Layoutarbeit.
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。
LOGIN-TB/claude-skills☆ 802026年9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-skills☆ 792026年10月12日 更新
Health insurance planning for Indian families — Section 80D optimization, family floater vs individual, super top-up strategy, parents' coverage, critical illness, corporate cover limitations, and IRDAI portability. Triggers on 'health insurance', '80D', 'mediclaim', 'family floater', 'super top-up', 'health cover', 'parents health insurance', 'medical insurance', or 'health insurance for family'.
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。
FDU-INS/Insurance-Skills☆ 772026年7月12日 更新
Personal finance assistant for budgeting, savings goals, investment tracking, debt optimization, tax preparation, insurance review, net worth tracking, and financial scenario modeling. Supports multi-currency, bank statement import (CSV/MT940/OFX), and locale-based tax rules. Use for any personal finance question: budget planning, expense tracking, portfolio allocation, FIRE calculations, debt payoff strategies, mortgage comparisons, tax deductions, insurance coverage, retirement planning, and life events with financial impact such as marriage, buying a house, changing jobs, having a baby, or going freelance.
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。
FDU-INS/Insurance-Skills☆ 772026年7月12日 更新
Personal finance skill suite for a mid-20s dual-income couple in Ho Chi Minh City. Covers budgeting, emergency fund building, investments, insurance, tax optimization, goal planning, and couple dynamics — all calibrated to Vietnam's financial ecosystem. Use when the user asks about budgeting, saving, investing, insurance, taxes, or financial goal planning — trigger phrases include "review our budget", "how should we invest", "do we have enough insurance", and "plan for a home purchase". Use even if the user only mentions one financial topic without asking for a full review.
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。
FDU-INS/Insurance-Skills☆ 772026年7月12日 更新
Use the corp-finance-mcp server tools for specialty finance, regulatory, and compliance calculations. Invoke when performing private credit (unitranche, direct lending, syndication), insurance (loss reserving, premium pricing, Solvency II SCR), FP&A (variance analysis, break-even, working capital, rolling forecast), wealth management (retirement planning, tax-loss harvesting, estate planning), restructuring (recovery analysis, distressed debt), real assets (property valuation, project finance), venture capital (dilution, convertible instruments, fund returns), ESG (scoring, climate/carbon, green bonds, SLL), regulatory capital (Basel III, LCR/NSFR, ALM), compliance (MiFID II best execution, GIPS reporting), credit derivatives (CDS pricing, CVA/DVA), convertible bonds (binomial tree pricing, scenario analysis), lease accounting (ASC 842/IFRS 16, sale-leaseback), pension & LDI (funding analysis, liability-driven investing), sovereign risk (bond analysis, country risk), real options (binomial valuation, decision trees), equity research (SOTP, target price), commodity trading (spread analysis, storage economics), treasury management (cash management, hedge effectiveness), infrastructure finance (PPP models, concession valuation), crypto (token valuation, DeFi analysis), municipal bonds (pricing, credit analysis), structured products (notes, exotic), trade finance (LC, supply chain), fund structuring (US onshore, UK/EU, Cayman/BVI offshore, Luxembourg/Ireland), transfer pricing (BEPS/Pillar Two, intercompany pricing), tax treaty (treaty network optimization, holding structures), FATCA/CRS (reporting, entity classification), economic substance (multi-jurisdiction testing), regulatory reporting (AIFMD Annex IV, SEC Form PF, CFTC CPO-PQR), AML compliance (KYC risk scoring, sanctions screening), fund of funds (J-curve, commitment pacing, manager selection, secondaries pricing), bank analytics (NIM analysis, CAMELS rating, CECL provisioning, deposit beta, loan book), carbon markets (credit pricing, ETS compliance, CBAM, offset valuation, shadow carbon price), private wealth (concentrated stock, philanthropic vehicles, wealth transfer, direct indexing, family governance). All computation uses 128-bit decimal precision.
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。
FDU-INS/Insurance-Skills☆ 772026年7月12日 更新