580 件 ・ 関連度順
概要と使いどころ
Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social 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。
Critical Akka.NET best practices including EventStream vs DistributedPubSub, supervision strategies, error handling, Props vs DependencyResolver, work distribution patterns, and cluster/local mode abstractions for testability.
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。
Designs publication figures for social-science manuscripts. Covers chart choice, axes and scales, color and accessibility, legend order, captions that carry the title, and script-based reproducibility. Use when making, revising, or critiquing a figure for a paper, such as a coefficient plot, small multiples, a distribution, a trend, a map, or a network. Finished figure sets go to figure-table-audit for end-stage QA.
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。
Designs multi-agent systems with coordinated agent swarms, task distribution, inter-agent communication, and emergent collective behavior.
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。
Expert task distributor specializing in intelligent work allocation, load balancing, and queue management. Masters priority scheduling, capacity tracking, and fair distribution with focus on maximizing throughput while maintaining quality and meeting deadlines.
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 the user wants to check dataset quality, diagnose eval issues, or before running evolve. Checks size, difficulty distribution, dead examples, coverage, and splits. Auto-corrects issues found.
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 an AEO-first topical map optimized for AI search citation — entity clusters, query fan-out coverage, information gain scoring, and multi-platform distribution. Produces entity map, content node architecture, schema blueprint, and 90-day publishing calendar. Use when "topical map", "content architecture", "site structure", "topic clusters", "pillar content plan", "AEO map", "AI search architecture", "entity map", "what content should we build", or any request to plan a site's topical structure for AI search visibility.
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。
Launch a podcast or plan podcast guest strategy — format, content planning, episode production, guest outreach, and distribution. Use when "podcast", "start a podcast", "podcast marketing", "podcast guest", "podcast strategy", "be a podcast guest", "launch a show", or any request related to podcast creation or guest appearances.
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。
On-Chain Analytics Agent — whale movements, exchange flows, active addresses, network growth, holder distribution, and transaction metrics with On-Chain Score (0-100)
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。
Tokenomics Analysis Agent — supply mechanics, unlock schedules, vesting, inflation, staking economics, distribution fairness, and token utility with Tokenomics Score (0-100)
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。
Leverages Ahrefs REST API v3 to identify content gap opportunities through competing domain analysis. Pulls referring domains data, anchor text distributions, and DR metrics to prioritize content creation for link-worthy topics.
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。
Expert sales enablement strategist for building high-performing sales teams. Use when designing sales training programs, onboarding and ramp plans, sales playbooks, coaching frameworks, certification programs, or competitive intelligence distribution. Covers content strategy, tool adoption, performance measurement, and continuous learning systems. Use for building sales academies, creating enablement content, and optimizing sales productivity.
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。
Expert go-to-market strategist for SaaS applications. Use when planning GTM strategy, content strategy, social media strategy, personal brand development, business brand positioning, or channel selection. Covers LinkedIn, X/Twitter, TikTok, YouTube, and multi-channel distribution. Use for launch planning, audience building, founder-led marketing, and growth strategy.
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 modern WordPress plugins and MCP servers, including hybrid WordPress+MCP products. Use when implementing plugin architecture (PHP, REST API, Gutenberg/admin/page-builder integrations), MCP tooling (TypeScript/Python, stdio/HTTP transport), security hardening, licensing/updates, and delivery workflows from scaffold to distribution.
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。
Render `.claude/canvas/cycle-history.yml` as a Gantt chart + outcome distribution pie (or ascii / json). Read-only. Consults the attribution registry per `${CLAUDE_PLUGIN_ROOT}/engine/render-conventions.md` consent + privacy gate. Third specialist in the render fleet.
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。
Structures dividend recap analysis with leverage impact, credit agreement compliance, and return enhancement calculation. Use when modeling dividend recaps, evaluating interim distributions, or analyzing recapitalization options.
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。
Builds CLO waterfall models with coverage tests, reinvestment criteria, and distribution allocation across tranches. Use when modeling CLO structures, analyzing OC/IC tests, or projecting tranche returns.
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。
Builds base, upside, and downside operating scenarios with key assumption sensitivity and return distribution analysis. Use when building operating cases, stress testing projections, or presenting scenario 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。
Coordinates competitive auction workflows from teaser distribution through definitive agreement execution. Use when running sell-side processes, managing bid rounds, or tracking buyer engagement.
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。
Assesses underlying asset pools with stratification, concentration analysis, historical performance, and credit quality distribution. Use when analyzing collateral pools, stratifying asset characteristics, or evaluating pool quality.
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 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.
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。
Builds LP commitment pacing with deployment curves, distribution assumptions, and NAV projection for portfolio planning. Use when modeling commitment pacing, projecting LP cash flows, or planning new fund allocations.
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。
Multi-agent swarm coordination patterns. Orchestrates parallel agent execution, manages agent communication, handles task distribution, and coordinates results aggregation.
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 product idea needs pressure-testing against alternatives, category, urgency, and distribution.
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。