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概要と使いどころ
Evaluates sales efficiency with CAC payback, sales cycle analysis, channel economics, and pipeline conversion metrics. Use when assessing GTM efficiency, analyzing sales productivity, or evaluating distribution strategy.
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Evaluates convertible bond and mandatory convertible structures with equity sensitivity, credit floor, and Greeks analysis. Use when analyzing convertible offerings, pricing equity-linked instruments, or modeling conversion economics.
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。
Deconstructs customer cohort behavior with retention curves, LTV progression, and vintage-over-vintage comparison analysis. Use when analyzing cohort data, assessing customer quality, or modeling lifetime value trajectories.
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 Dutch auction mechanics with optimal pricing strategy, odd-lot proration, and shareholder base analysis. Use when analyzing Dutch auctions, modeling tender strategies, or evaluating self-tender economics.
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 bolt-on acquisitions for existing platforms with strategic fit, synergy quantification, and return contribution analysis. Use when screening add-on targets, building platform acquisition strategies, or modeling tuck-in economics.
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。
Decision matrix for selecting multi-agent topologies (Supervisor, Swarm, Hierarchical, Conductor) with token economics, failure modes, and escalation paths
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 choosing kernel spinlocks versus mutexes, using RCU, seqlocks, completions, or memory barriers, or debugging scheduling-while-atomic. Not for userspace atomics: use concurrency-debugging.
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 analyzing warp divergence, memory coalescing, shared memory bank conflicts, cache behavior, atomics, or occupancy tradeoffs on NVIDIA and AMD GPUs. Not for tool commands: use cuda-profiling.
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 educational comics from academic papers, using visual storytelling to explain core ideas and innovations. Supports 4 art styles: classic (clean lines), tech (futuristic), warm (friendly), chalk (blackboard). Uses genimg-gemini-web to generate images.
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。
Agent eXperience Interface (AXI) router — the main entry point for agent-ergonomic CLIs. Use whenever the agent needs GitHub, browser automation, human review, quota routing, Slack, Notion, AWS/Docker/K8s, databases, GitLab (glab-axi), Oracle DB (oracle-axi), tmux/herdr/WezTerm sessions (cyber-mux), or any AXI-catalog tool; when choosing AXI vs MCP vs raw CLI; when building or reviewing an agent-facing CLI; or when the user says axi, gh-axi, chrome-devtools-axi, TOON output, agent ergonomics, or "prefer AXI". When in doubt about which external tool interface to use, start here.
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。
Explore Solana's architecture and protocol internals. Covers the SVM execution engine, account model, consensus, transactions, validator economics, data layer, development tooling, and token extensions using the Helius blog, SIMDs, and Agave/Firedancer source code.
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 Transaction Cost Economics (Williamson, 1975, 1985) to analyze governance structure choices — market, hybrid, or hierarchy — based on transaction characteristics. Use this skill when the user needs to decide make-or-buy, evaluate outsourcing vs vertical integration, design governance mechanisms for inter-firm relationships, or when they ask 'should we build this in-house or outsource', 'why do firms vertically integrate', or 'how should we structure this partnership'.".
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 behavioral economics concepts including bounded rationality, prospect theory, mental accounting, and nudge theory to analyze decision-making biases. Use this skill when the user needs to understand why people make irrational economic decisions, design choice architectures, or apply nudges to influence behavior — even if they say 'why do customers make bad choices', 'how do we encourage people to save more', or 'design a better default option'.".
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。
Fierce autonomous internal co-founder. Bounded web research for evidence-backed improvements. Structured idea formulation with self-critique filter that rejects ideas not serving the goal. Auto-implements high-confidence aligned improvements, proposes medium-confidence ideas for approval. Evaluates viral coefficient, AI search visibility (GEO), and solo SaaS economics. Considers higher pursuits: employing disabled people, spiritual tech investigation, 99% wealth donation ethos.
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。
Set up, format, fix, and clean up LaTeX regression and estimation tables in empirical economics or finance papers. Use when (a) creating a .tex, results.tex, main.tex, or preamble to display regression or estimation output from Python (pyfixest), Stata, or R — including any mention of estout, esttab, estauto, estwide, or table fragments; (b) formatting or repairing estout-style regression tables that overflow the right margin, have cramped or boxed notes, misaligned columns, or poor significance stars, or when asked to match a reference paper, make the note fill the table width, or choose among \estwide, \estauto, and landscape layouts; (c) diagnosing "Misplaced \omit" errors from \input-ed table fragments inside tabular environments. Covers \@@input, \estwide, \estauto, \estautoLT, \specialcell, \sym, minipage notes below tabulars, and the convert-and-verify workflow. Do NOT trigger for general LaTeX documents like beamer presentations, problem sets, letters, or CVs.
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 generating or editing diagrams, charts, visual assets, posters, UI mockups, product images, infographics, academic figures, comics, avatars, storyboards, brand boards, or image-edit workflows, especially when exported PNGs need visual QA and bounded self-repair. Prefer deterministic Mermaid/SVG/HTML/canvas sources for text-heavy diagrams; use HTML technical diagrams for browser-ready system blueprints, architecture, deployment topology, agent runtime, memory flow, before-after architecture, workflow, sequence, data-flow, lifecycle, runbook, PII/data-lineage, and state-machine diagrams. Do not use for ordinary UI polish without generated imagery.
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。
Complete B2B SaaS marketing agency powered by 90 AI agents across 17 specialties. This is the entry point for ALL marketing requests. Routes to the right specialist team: content marketing, SEO, paid media, social media, email marketing, design, sales enablement (including technical presales — demos, proofs of concept, security questionnaires), product marketing, account-based marketing (ABM), partnerships and channel programs (co-marketing, marketplace GTM, channel conflict and deal registration, partner economics), growth, analytics, project management, or client operations. Use this skill when the request spans multiple disciplines or when unsure which specialist to invoke. Also triggers on: marketing help, marketing team, marketing agency, what can you do, marketing capabilities.
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 task needs the judgment of a Commercial/Industrial Designer — designing the form, ergonomics, and manufacturability of a physical product, choosing between manufacturing processes at a given volume, selecting materials/finishes under a cost or durability constraint, or planning a prototyping sequence before tooling commitment.
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 task needs the judgment of a Coin, Vending, and Amusement Machine Servicer and Repairer — triaging a jam across bill validators, coin mechanisms, refrigerated vending units, and arcade/amusement PCBs on a route, setting restock par levels against route-cycle economics, investigating a cash-collection variance at a stop, or applying food-safety temperature/time discard rules on perishable vending product.
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 task needs the judgment of a Biofuels Production Manager — running a biofuel production facility (ethanol, biodiesel, renewable diesel), managing feedstock supply and quality variability, evaluating a yield or efficiency problem, or balancing production economics against commodity price swings.
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。
Search and explore ENCODE Project genomics data. Use when the user wants to find experiments, files, or explore what data is available for specific assays, organs, cell lines, or targets.
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。
Find and work with ENCODE single-cell genomics data including scRNA-seq and scATAC-seq. Use when the user asks about single-cell experiments, cell type resolution, clustering from ENCODE data, deconvolution of bulk signals using single-cell references, or comparing single-cell vs bulk profiles. Covers platform differences (10X Chromium, Smart-seq2, Drop-seq), quality limitations of single-cell data, multimodal integration (RNA+ATAC), and cross-study reproducibility concerns. Also use for cell type annotation, gene detection limits, dropout artifacts, and single-cell data structure in ENCODE.
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。
Download ENCODE genomics files (BED, FASTQ, BAM, bigWig, etc.) to the user's machine. Use when the user wants to download data files from ENCODE experiments.
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。