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概要と使いどころ
Systematic competitor tracking that feeds positioning, battlecards, and roadmap decisions. Use when analyzing competitors, building battlecards, tracking market moves, conducting win/loss analysis, or updating positioning.
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Multi-agent board meeting protocol running a structured 6-phase deliberation with isolated C-suite contributions to prevent groupthink. Use when making major strategic decisions or resolving cross-functional disagreements.
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。
Security leadership for growth-stage companies. Use when building security programs, selecting compliance frameworks (SOC 2, ISO 27001, HIPAA, GDPR), managing incidents, or assessing vendor risk.
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Adversarial thinking partner that stress-tests plans, prepares board meetings, and surfaces blind spots. Use when you need plan validation, board prep, hard-decision frameworks, or pre/post-mortem failure analysis.
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C-suite orchestration that routes founder questions to the right advisor role(s) and runs multi-role board meetings. Use when coordinating executive decisions, routing strategic questions, or resolving cross-department conflicts.
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。
Query PrimeKG precision medicine knowledge graph
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 critique with 7 rated passes: Information Architecture, Interaction State Coverage, User Journey and Emotional Arc, AI Slop Risk (10-item blacklist), Design System Alignment, Responsive and Accessibility, Unresolved Decisions. Each rated 0-10 with gap-fill loop. Parallel cross-model design voices.
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。
Challenges ideas, plans, decisions, and proposals using structured critical reasoning as devil's advocate, pre-mortem, red team, or evidence audit.
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 high-level system architecture, reviews existing designs, makes architectural decisions, creates architecture diagrams, writes ADRs, evaluates technology trade-offs, and plans for scalability.
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 chaos experiments, creates failure injection frameworks, and facilitates game day exercises for distributed systems with runbooks, experiment manifests, and rollback procedures.
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。
Synthesize performance findings into evidence-backed recommendations and decisions
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。
Produce the Part 5 client validation document: evidence-cited findings for client decisions. "prepare v1 findings for client 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。
Analyzes social media campaign performance across platforms with engagement metrics, ROI calculations, and audience insights for data-driven marketing decisions
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 an Agent Relay workspace's shared coding-agent sessions for prior work, decisions, fixes, or the context behind a task or pull request. Use when team history could answer the user's question or prevent repeating an investigation.
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。
This skill encodes Emil Kowalski's philosophy on UI polish, component design, animation decisions, and the invisible details that make software feel great.
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 coordinating multiple AI agents with Agent Relay's workflow engine and need to pick the right orchestration pattern - covers the 10 core patterns (fan-out, pipeline, hub-spoke, consensus, mesh, handoff, cascade, dag, debate, hierarchical) plus 14 specialized ones, with decision framework and accurate SDK/YAML examples.
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。
Reach into past AI conversation history through the `trellis mem` CLI. Use whenever the user asks 'how did we solve X last time', 'have we discussed this before', 'what was the decision on X', 'remind me what we did in this task', '上次怎么解的', '之前讨论过吗', '想起一段对话', or when starting a brainstorm that overlaps prior work, debugging a familiar bug, continuing a task across sessions, or doing a finish-work review. Returns raw past dialogue; decide for the moment whether to update spec, append to task notes, quote inline in the answer, or just internalize.
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。
A thin crosshair spans the viewport and tracks the pointer — a precise, techy custom cursor. One per page; suits tools/dashboards. Off on touch and under prefers-reduced-motion.
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。
Animate a number counting up to its target as it scrolls into view, once. Use for stat/metric blocks to draw the eye to an impressive figure. Honors prefers-reduced-motion (final value shown instantly). Avoid for precise values the user must read while animating, or many counters at once.
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。
Author learning targets for a competency across developmental bands with precise, observable progression language. Use when writing 'I can' statements for competency-based programmes.
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Audit and redesign AI-generated feedback for pedagogical quality, timing, and learning impact. Use when building or reviewing automated feedback in digital learning tools.
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。
Interpret learning analytics data and translate dashboard findings into actionable teaching decisions. Use when reviewing LMS data, quiz patterns, or engagement metrics.
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When the user wants help with pricing decisions, packaging, or monetization strategy. Also use when the user mentions 'pricing,' 'pricing tiers,' 'freemium,' 'free trial,' 'packaging,' 'price increase,' 'value metric,' 'Van Westendorp,' 'willingness to pay,' 'monetization,' 'how much should I charge,' 'my pricing is wrong,' 'pricing page,' 'annual vs monthly,' 'per seat pricing,' 'should I offer a free plan,' 'pricing page teardown,' 'pricing page audit,' 'is my pricing page AI-readable,' or 'can AI read my pricing.' Use this whenever someone is figuring out what to charge, how to structure their plans, or wants to audit a pricing page (for humans and for the AI agents that shortlist tools). For in-app upgrade screens, see paywalls. For offer construction (bonuses, guarantees, value framing, naming) on services/courses/coaching/high-ticket B2B, see offers.
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。
Toolkit for comprehensive document reading, editing, and creation with visual quality control. Use to work with Word documents (.docx files) for: (1) Reading or extracting content from existing DOCX files, (2) Creating new Word documents with professional formatting, (3) Editing documents requiring precise typography and layout, or any other DOCX reading or generation tasks.
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。