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概要と使いどころ
Time-to-event modeling with scikit-survival: Cox PH (elastic net), Random Survival Forests, Boosting, SVMs for censored data. C-index, Brier, time-dependent AUC; Kaplan-Meier, Nelson-Aalen, competing risks. Pipeline/GridSearchCV compatible. Use statsmodels for frequentist, pymc for Bayesian, lifelines for parametric.
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。
When the user wants an agent to run SEO for a product end to end on a daily schedule, with state kept in a seo/ folder in the repo. Covers site health checks, fact checks against commits, page 2 to page 1 pushes, AI answer tracking, competitor sitemap diffs, a monthly keyword map, articles, comparison pages, free tools and link drafts. Also use when the user mentions "seo autopilot" or asks for a daily SEO 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。
Provides SonarQube and SonarCloud integration patterns via the Model Context Protocol (MCP) server. Enables quality gate monitoring, issue discovery and triaging, pre-push code analysis, and rule education directly in the agent workflow. Use when the user wants to check quality gates, search for Sonar issues, analyze code snippets before committing, or understand SonarQube rules. Triggers on "sonarqube", "sonarcloud", "quality gate", "sonar issues", "analyze with sonar", "check sonar", "sonar rule", "pre-push 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。
When the user wants to research customer pain points, complaints, or sentiment using review platforms like Trustpilot, G2, Capterra, or app stores. Also use when the user mentions "what are users saying", "competitor reviews", "pain points", or "voice of customer research".
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。
Use when a page ranks for a keyword but isn't in the top 3 and you want to know exactly what's missing. The agent compares the page to the top-ranking competitors and produces a specific list of entities, subtopics, and relationships to add.
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。
Use when planning to rank for a specific keyword. The agent Googles it, reads the top 10, classifies intent, reads the top 3 competitor pages, and produces a 90-day ranking plan with intent, SERP analysis, and content 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。
Assess company readiness for construction industry uberization. Analyze data transparency, process automation, and competitive positioning against open data platforms.
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。
競合比較ページ・代替製品ページをSEO・営業資料向けに作成するスキル。 「競合比較ページを作って」「代替ツールのページ」「vs ページ」「〇〇 vs △△」「alternative page」等のリクエストで発動。 単数alternative、複数alternatives、自社vs競合、競合同士比較の4フォーマットに対応。
Research best-in-class products using Browser MCP and WebSearch
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。
Convert webinar recordings into blog posts, social snippets, email series. Extract key quotes, statistics, and soundbites.
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。
Transform webinar recordings into multiple content assets including blog post series, social media snippets, infographic ideas, email sequences, and sales one-pagers. Extracts key moments, quotes, and insights for maximum content ROI. Use when users need to repurpose webinars, video content, or live presentations into multi-channel marketing materials.
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。
Optimize content for search engines with keyword analysis, readability scoring, meta descriptions, and competitor comparison. Use this when users want to improve SEO, optimize blog posts, or analyze content for search performance.
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。
Pulls financial statement numbers for US public companies straight from SEC EDGAR's free official XBRL APIs (companyfacts, companyconcept, frames, submissions) into a cited table. Every value carries its accession number, form, fiscal period, filed date, XBRL tag and a link to the filing, and the tool handles fiscal-year ends, quarterly vs YTD vs TTM, derived Q4, restatements and units. Use this whenever the user wants 10-K numbers or 10-Q numbers, says "pull financials for", asks for public company revenue, net income, EPS, cash, debt or capex, wants comps or a competitor side-by-side, a credit check, prospect research, or model inputs, or mentions SEC filings or EDGAR, even if they never say XBRL. Free and primary-source, no paid data terminal needed. Do not use it for private companies, stock prices or 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。
Reviews pitch decks and investor presentations. Reads slide content, evaluates narrative flow, problem/solution clarity, market sizing, competitive positioning, financial projections, team credibility, and ask clarity. Generates a scored pitch-review.md with slide-by-slide feedback, overall score, top improvements, investor objection predictions, and comparisons to successful decks. Use when reviewing fundraising materials, investor decks, or pitch presentations.
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。
Creates structured hiring scorecards for any role. Takes job title, requirements, and team context. Generates comprehensive scorecard with weighted scoring rubric, interview questions per competency, evaluation matrix, red/green flags, and reference check questions.
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。
TAM/SAM/SOM calculator with deep market research. Produces comprehensive market-sizing.md with top-down and bottom-up estimates, methodology, data sources, assumptions, sensitivity ranges, growth projections, competitive landscape, and Mermaid visualizations. Use when user needs market size estimates, addressable market analysis, go-to-market sizing, investor-ready market analysis, or business plan market validation.
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。
Analyzes a deal in progress and generates a comprehensive closing strategy. Researches the target company, maps the buying committee, builds objection responses, creates competitive positioning, and outputs a tactical deal-playbook.md with next-best-actions and a mutual close plan.
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。
Extract key concepts from any content and create spaced-repetition flashcards. Multiple formats: Anki-compatible, printable PDFs, interactive web.
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。
Identifies upsell and cross-sell opportunities within existing customer accounts. Analyzes product usage, feature gaps, team growth, industry benchmarks, and competitive pressure to surface revenue expansion plays scored by potential, effort, and likelihood. Generates an expansion-playbook.md with account-by-account opportunities, recommended pitch, timing, and approach.
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。
Generate diverse solution candidates with category-spanning ideation methods and rotation. Use when stuck on a design or fighting repetitive LLM output.
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。
Evaluates and improves skills, agents, commands, and hooks after a workflow slice. Use when execution felt slow, confusing, repetitive, or fragile.
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。
Ramps implementation ambition a notch only after the prior increment is understood. Use when building a feature you must understand, not just ship.
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。
Score and compare covariance estimates with precise's assessor panel. Use when you need to judge an estimate out-of-sample or rank competing estimators — and especially in high dimensions, where the plain held-out likelihood is misleading.
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。
Use the einops Python package for readable tensor rearrangement, reductions, repetition, named-axis einsum, packing, framework layers, and repository maintenance workflows.
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。