E-commerce growth strategy advisor. Diagnoses current business health using unit economics (CAC, LTV, AOV, contribution margin), identifies the highest-impact growth opportunities across 5 levers (traffic, conversion, AOV, retention, expansion), and builds a prioritized 90-day growth roadmap. Uses the Ansoff Matrix adapted for e-commerce to evaluate market penetration, channel expansion, product expansion, and new market entry. Includes multichannel readiness assessment (Amazon, Walmart, TikTok Shop, Etsy, DTC/Shopify/Shopify) and product line expansion analysis. No API key required. Use when: (1) planning next phase of e-commerce growth, (2) deciding whether to expand to new channels or products, (3) diagnosing why growth has stalled, (4) prioritizing what to fix or build next.
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。
nexscope-ai/eCommerce-Skills☆ 1,1332026年8月26日 更新
POD integration — Printful, Printify, mockups, niche selection, margin 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。
nexscope-ai/eCommerce-Skills☆ 1,1332026年8月26日 更新
Offsite Ads analysis — when to opt out, ROI tracking, fee impact on margins, attribution
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。
nexscope-ai/eCommerce-Skills☆ 1,1332026年8月26日 更新
Operational billing execution for legal matters. Monthly bill prep and billing instructions, LC invoice review and disbursement treatment, client billing query responses, cashflow modelling (LC payment obligations vs client receipts), and leverage and burn analysis (staffing mix, predicted total cost, margin trajectory). Trigger on: 'prepare the bill', 'billing instruction', 'end of month billing', 'LC invoice', 'local counsel invoice', 'pass through as disbursement', 'client querying the invoice', 'billing dispute', 'cashflow gap', 'when will we get paid', 'LC payment due', 'leverage analysis', 'staffing mix', 'predicted total cost', 'burn rate by grade', 'are we on track', 'what will this matter cost'.
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。
lawve-ai/awesome-legal-skills☆ 8632026年10月3日 更新
Design targeted interventions that strengthen belonging and inclusion for specific classroom dynamics. Use when students feel isolated, cliques form, or new students need integrating.
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☆ 8512026年8月29日 更新
Expert blueprint for responsive UI layouts using Container nodes (HBoxContainer, VBoxContainer, GridContainer, MarginContainer, ScrollContainer, HFlowContainer, SubViewportContainer). Covers size flags, anchors, split containers, virtual_list pooling, stretch_shrink previews, and dynamic layouts. Use when building adaptive interfaces OR implementing responsive menus. Keywords: Container, HBoxContainer, VBoxContainer, GridContainer, HFlowContainer, SubViewportContainer, virtual_list, stretch_shrink, size_flags, EXPAND_FILL, anchors, responsive.
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☆ 8452026年10月13日 更新
Expert patterns for 2D/3D camera control including smooth following (lerp, position_smoothing), camera shake (trauma system), screen shake with frequency parameters, deadzone/drag for platformers, look-ahead prediction, and camera transitions. Use for player cameras, cinematic sequences, or multi-camera systems. Trigger keywords: Camera2D, Camera3D, SpringArm3D, position_smoothing, camera_shake, trauma_system, look_ahead, drag_margin, camera_limits, camera_transition.
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☆ 8452026年10月13日 更新
Wholesale product sourcing — supplier discovery, negotiation, MOQ optimization, margin analysis
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。
nexscope-ai/Amazon-Skills☆ 7582026年8月26日 更新
Amazon repricing strategy and Buy Box optimization. Competitive pricing analysis, dynamic pricing rules, margin protection strategies, repricing tool selection, and automated pricing workflows. Use when the user asks about Amazon repricing, pricing strategy, Buy Box optimization, competitive pricing, or dynamic pricing.
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。
nexscope-ai/Amazon-Skills☆ 7582026年8月26日 更新
Comprehensive Amazon profit analysis and revenue optimization. Revenue waterfall analysis, hidden fee identification, ACoS impact assessment, return cost calculation, and profitability optimization strategies. Use when the user asks about Amazon profit analysis, profitability calculation, fee analysis, margin optimization, or revenue breakdown.
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。
nexscope-ai/Amazon-Skills☆ 7582026年8月26日 更新
Use when a price has to be set or changed — value-based pricing, anchoring, charm pricing, decoy tiers, good-better-best packaging, discount policy, and margin math, with currency psychology for US, EU, SEA, and LATAM plus dropshipping markup and BE-ROAS. Trigger on 'pricing strategy', 'how much should I charge', 'should I raise prices', 'price tiers', 'customers say it is too expensive', 'dropshipping markup'. Also use when the product is not selling and the user suspects price is the reason. Not for — bonuses, guarantee, and value stack around the price, see `31-offer-design-global`; persuasion beyond price, see `16-marketing-psychology-global`; ad budget math, see `10-reverse-kpi-global`.
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。
minhnv0807/ai-business-skills☆ 6132026年9月12日 更新
Use when persuasion principles have to be applied to a specific asset — reciprocity, scarcity, authority, social proof, liking, commitment, and unity mapped onto copy, a landing page, an email, or an ad, each with a hypothesis and a test plan. Trigger on 'marketing psychology', 'Cialdini', 'persuasion principles', 'how do I add urgency', 'make this more convincing', 'behavioral triggers for this page'. Also use when the user asks why people read the whole page and still do not buy. Not for — price framing and margin math, see `17-pricing-strategy-global`; building the offer itself, see `31-offer-design-global`; running the experiment properly, see `19-ab-test-setup-global`.
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。
minhnv0807/ai-business-skills☆ 6132026年9月12日 更新
Adds and tunes a reranker stage for RAG using the retrieve-wide, rerank-narrow pattern. Use when relevant documents appear in the initial top-N but are buried by noise, top-1 precision or MRR is low despite adequate recall, or too many marginal chunks consume context. Covers cross-encoder, API, and local rerankers; N-to-k selection; and latency/cost tradeoffs. Do not use when retrieval recall itself is failing.
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。
agentsope/SkillAlchemy☆ 4442026年10月9日 更新
Finds the price buyers will actually pay. Reads the consumer panel's four price answers per buyer into a Van Westendorp price-sensitivity range (too cheap, a bargain, getting expensive, too expensive), sets it against what competitors really charge and against the CFO's margin, and recommends a price, a price ladder (good / better / best) and an opening offer to test. Use when the user says "how much should I charge", "price this", "is $X too expensive", "pricing strategy", "what price", or after the consumer panel.
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。
Jakeschincariol/founder-skill☆ 4062026年10月7日 更新
Apply overhead, profit, and markup to CWICR estimates. Calculate indirect costs, general conditions, and contractor margins.
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。
datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction☆ 3492026年8月22日 更新
Find out which clients and jobs actually make money -- allocate real costs (labor hours, materials, subs, overhead) against what each job billed, and rank every client by true margin. Most service businesses discover their biggest client is their least profitable.
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。
OneWave-AI/claude-skills☆ 3402026年10月2日 更新
Evaluates market bubble risk through quantitative data-driven analysis using the revised Minsky/Kindleberger framework v2.1. Prioritizes objective metrics (Put/Call, VIX, margin debt, breadth, IPO data) over subjective impressions. Features strict qualitative adjustment criteria with confirmation bias prevention. Supports practical investment decisions with mandatory data collection and mechanical scoring. Use when user asks about bubble risk, valuation concerns, or profit-taking timing.
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。
nicepkg/ai-workflow☆ 2852026年1月20日 更新
Standardize a 2D animation baseline image with `/img2mo-std xxx.png/pos`. Use when preparing a character, creature, prop, or weapon baseline before motion generation, especially if the source image is too large, tightly cropped, lacks transparent action margin, has a white background, or later walk/attack/idle frames show clipping, overlap, scale popping, or inconsistent character size.
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。
WU-HAOTIAN34/2dimg2motion☆ 2122026年7月2日 更新
What-if scenario analysis, scenario tree construction, base bull bear case, sensitivity to macro variables, revenue scenario modeling, cost scenario analysis, margin impact scenarios, interest rate sensitivity, currency impact scenarios, commodity price scenarios
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。
agentii-ai/agentii-investment-intelligence☆ 2072026年9月29日 更新
Med peer benchmarking: select actual biotech/pharma peers via the med universe (drug/indication overlap where possible) and compare med-relevant metrics — pipeline depth, catalyst density, cash position, margins, valuation multiples.
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。
agentii-ai/agentii-investment-intelligence☆ 2072026年9月29日 更新
Recent quarter performance analysis, quarterly earnings review, last quarter results, quarterly financial performance, analyze recent quarter, Q4 earnings, quarterly revenue breakdown, EPS this quarter, margin analysis recent quarter, sequential growth, quarterly performance 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。
agentii-ai/agentii-investment-intelligence☆ 2072026年9月29日 更新
Think and work like an expert Mechatronics Engineer. Use when a task calls for Mechatronics Engineer judgment. Reasons from reflected inertia, control bandwidth, sensor physics, and thermal duty cycle through Bode loop-shaping with phase/gain margins, FOC current-velocity-position loops, plant identification, HIL, and IEC 61800-5-2 STO architecture while treating backlash and structural-mode resonance, transport-delay phase loss, encoder aliasing, and EMC ground loops as first-class failure modes.
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。
K-Dense-AI/scientific-agents☆ 2052026年10月3日 更新
Think and work like an expert Energy Systems Engineer. Use when a task calls for Energy Systems Engineer judgment. Reasons from exergy, load duration curves, capacity factor, and grid boundary constraints through pinch analysis, hourly dispatch models (PLEXOS, HOMER Pro, SAM, PVsyst), spark-spread CHP screening, and IPMVP M&V while treating nameplate-vs-utilization confusion, average-vs-marginal grid emissions, unrealistic arbitrage spreads, and demand-charge ratchet resets as first-class failure modes.
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。
K-Dense-AI/scientific-agents☆ 2052026年10月3日 更新
Think and work like an expert Electrical Engineer. Use when a task calls for Electrical Engineer judgment. Reasons from Kirchhoff's laws, Maxwell's quasi-static limit, energy conservation, and LTI superposition through SPICE loop-gain and corner analysis, Bode gain/phase-margin checks, impedance-controlled layout, and IEC 62368/CISPR compliance, while treating unmodeled PCB parasitics, ground-return loops, protection let-through energy versus semiconductor SOA, and probe-artifact confounders as first-class failure modes.
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。
K-Dense-AI/scientific-agents☆ 2052026年10月3日 更新