3,329 件 ・ 関連度順
概要と使いどころ
"Analyze supply chain operations using the SCOR model across Plan, Source, Make, Deliver, and Return processes. Use this skill when the user needs to optimize supply chain efficiency, evaluate supplier performance, improve logistics, or design an end-to-end supply chain strategy — even if they say 'our deliveries are slow', 'supply chain costs are too high', or 'we keep running out of stock'.".
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。
"Apply BCG Growth-Share Matrix to analyze a product or business unit portfolio for resource allocation decisions. Use this skill when the user needs to prioritize investments across multiple products, decide which products to grow vs harvest vs divest, or evaluate a portfolio's balance — even if they say 'which products should we invest in' or 'portfolio strategy' without naming BCG.".
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。
"Calculate and analyze Customer Acquisition Cost (CAC) and Customer Lifetime Value (LTV) to evaluate unit economics and marketing efficiency. Use this skill when the user needs to assess whether their customer acquisition is profitable, optimize marketing spend allocation, or evaluate business model viability — even if they say 'are we spending too much on ads', 'what's each customer worth', or 'is our growth sustainable'.".
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。
Observe the user's screen via screenpipe, detect repeated research workflows, match them against existing scientific-agent-skills, and draft new skills (or composition recipes that chain existing ones) for the patterns not yet covered. Use when the user asks to analyze their recent work and propose skills based on what they actually do. Requires the screenpipe daemon (https://github.com/screenpipe/screenpipe) running locally on port 3030 — the skill has no other data source and will refuse to run if screenpipe is unreachable. All detection runs locally; only redacted cluster summaries reach the LLM.
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。
"Design bundle pricing strategies using pure bundling, mixed bundling, and consumer surplus analysis. Use this skill when the user needs to set prices for product bundles, determine whether bundling increases profit, or analyze unbundling opportunities — even if they say 'should we bundle these products', 'bundle pricing', or 'package deal 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。
"Implement Generalized Second Price auction for ad slot allocation and pricing. Use this skill when the user needs to understand search ad auctions, compute ad positions and costs-per-click, or analyze bidding dynamics — even if they say 'how does Google Ads auction work', 'ad rank calculation', or 'second price auction for ads'.".
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。
"Conduct compensation benchmarking analysis to position salaries against market data. Use this skill when the user needs to assess pay competitiveness, build salary bands, or analyze pay equity — even if they say 'are we paying market rate', 'salary benchmarking', or 'compensation 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。
"Implement Louvain community detection to discover densely connected groups in networks. Use this skill when the user needs to find communities or clusters in social/organizational networks, segment customers by interaction patterns, or analyze network modular structure — even if they say 'find groups in this network', 'community detection', or 'network clustering'.".
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。
"Analyze and mitigate the bullwhip effect where demand variability amplifies upstream in supply chains. Use this skill when the user needs to diagnose order variability amplification, quantify the bullwhip ratio, or implement dampening strategies — even if they say 'why are our orders so volatile', 'supply chain variability', or 'demand amplification problem'.".
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。
"Design and analyze factorial experiments to identify significant process factors and optimize settings. Use this skill when the user needs to systematically test factor effects, optimize a manufacturing process, or determine which variables matter most — even if they say 'which factors affect quality', 'optimize process settings', or 'design an experiment'.".
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。
Design system architecture, API contracts, and data flows. Use when translating analyzed requirements into technical design for feature implementation.
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。
Analyze feature requirements, dependencies, and security considerations. Use when starting feature implementation from GitHub issues to understand scope, technical feasibility, and risks.
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。
Analyze an existing codebase in parallel via 7 specialized mapper subagents. Outputs structured findings to docs/codebase/ for persistent cross-session context. Use when onboarding to a brownfield project or when reactive on-demand file reading is too slow.
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。
Processes all open Dependabot PRs sequentially — rebases if needed, analyzes for breaking changes and security issues, then merges or requests changes. Use when you want to handle pending Dependabot dependency updates.
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。
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.
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。
Build and maintain a Stakeholder Register per PMBOK 8 Stakeholder Performance Domain. Identify stakeholders, analyze using Power/Interest grid, plan engagement strategies, and define communication cadence. Use at project initiation and whenever stakeholder landscape changes.
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。
Assess organizational training needs using ADDIE methodology and Kirkpatrick's 4-Level evaluation framework. Maps performance gaps to learning objectives using Bloom's taxonomy. Use when planning L&D budgets, designing training programs, or evaluating training effectiveness.
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。
Conduct structured root cause analysis using Ishikawa (Fishbone), 5 Whys, and Pareto methods. Suitable for production incidents, quality defects, customer complaints, and recurring operational problems. Use when problems recur or when initial fixes do not resolve the issue. Do not use for one-time, obvious fixes or strategic decision-making.
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。
Read and interpret financial statements — Income Statement, Balance Sheet, and Cash Flow Statement. Calculate key ratios, identify trends, and produce an analysis narrative. Use when reviewing company performance, preparing for investor meetings, or conducting due diligence. Do not use for preparing or auditing financial statements — this is an analysis tool only.
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。
Analyze budget-versus-actual or forecast-versus-actual performance and turn finance data into a management-ready narrative using variance logic, drivers, cash impact, and forward actions. Use when finance, FP&A, or business leaders need commentary, management accounts, or performance explanation. Do not use for bookkeeping entries, tax filing preparation, or legal accounting sign-off.
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。
Build customer health scores and churn risk models using leading indicators. Define health dimensions (Usage, Engagement, Support, Sentiment, Contract), weight and score customers, segment into Healthy / At-Risk / Red, and generate intervention playbooks. Use during QBR prep, customer success reviews, or when churn spikes.
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。
Detect and exploit session fixation (WSTG-SESS-01, WSTG-SESS-03) and session exposure (WSTG-SESS-04) by testing whether the server issues a new session token post-authentication, whether pre-login tokens remain valid after login, and whether session IDs are transmitted over HTTP or included in GET parameters. Analyze token randomness via Burp Sequencer. Test JSESSIONID, ASP.NET Forms Auth cookies. Tools: OWASP ZAP, Burp Suite Repeater/Sequencer, JHijack.
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。
Full penetration test using MCP tools — recon, scanning, exploitation, and reporting. Tailored for OpenCode (BYO LLM). Supports network/web targets and local codebases. Chains into analyze-cve, threat-modeling, and remediate skills automatically.
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。
Exploit validation and exploitation using Metasploit Framework. Runs in a dedicated Docker container (separate from Kali). Validates CVEs discovered by nuclei, nikto, or other scanners with actual exploit modules. Covers exploit selection, payload configuration, exploitation, and post-exploitation pivoting. Uses msfconsole, msfvenom, and the Metasploit module database. Chains from /pentester, /analyze-cve, or /post-exploit when exploitable CVEs are confirmed.
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。