LPを太陽スタイル基準で分析し、成約率を最大4.3倍に改善する具体的な施策を提案。3つの黄金ルールに基づく最適化。
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →LPを太陽スタイル基準で分析し、成約率を最大4.3倍に改善する具体的な施策を提案。3つの黄金ルールに基づく最適化。
Use when implementing Least Significant Bit (LSB) steganography - allows hiding images or text within other images by encoding data in the least significant bits of pixel color channels
This skill should be used when the user asks to “access LSEG data”, “query Refinitiv”, “get market data from Refinitiv”, “download fundamentals from LSEG”, “access ESG scores”, “convert RIC to ISIN”, “get shareholder activism data”, “query poison pills”, “access corporate governance data”, “find activist campaigns”, “get syndicated loans data”, “query loan deals”, “get infrastructure projects”, “query project finance data”, “get private equity data”, “query VC investments”, “find PE-backed companies”, “get M&A data”, “query mergers and acquisitions”, “find acquisition deals”, “get IPO data”, “query equity offerings”, “find new issues”, “get joint venture data”, “query strategic alliances”, “get news headlines”, “query news data”, “fetch news articles”, or needs the LSEG Data Library Python API.
Detect and prevent generic AI aesthetics (purple gradients, flat layouts, predictable patterns) in M3 components. Validates typography, colors, and layout against expressive design standards with 0-100 quality scoring.
Use when preparing to delegate to MacEff subagents. Read policies to discover current delegation patterns through timeless questions that extract details without prescribing answers.
Use BEFORE significant TODO modifications (adding subtrees, marking complete, reorganizing, collapsing). Ensures policy compliance through extractive questions. Run proactively when planning TODO changes.
Apply Chip and Dan Heath's SUCCESs framework to make ideas memorable, impactful, and actionable. This skill helps you transform abstractions into concrete, sticky communication.
Transform raw captured content into distilled knowledge by extracting topics (outline), summary, key points, principles, patterns, entities, and quotes, storing the result in the distilled/ directory.
Makefile Assistant automatically captures interesting Bash commands executed by Claude Code (via `cchistory`) and transforms them into well-documented, categorized Makefile targets. This eliminates ma
malware-forensics
Manage delayed request queues including workload, system, and utility queues to release blocked requests or abort unnecessary items
Manage solution outline documents - standards, examples, validation, and deliverable extraction
**Autonomously create** filters, throttles, and classification rules to implement new workloads or manage workload lifecycle in response to changing operational needs
Installs and configures Zellij terminal multiplexer from GitHub releases. Use when setting up Zellij for terminal workspace management.
Advanced middleware logic for security and routing. Use for global rate limiting, security headers, and protection of admin routes.
Handles backend logic that cannot run in the browser. Use for sensitive tasks like price calculation, cleanup, or payment verification.
Use this skill when working with UFC fighter images including downloading from multiple sources (Wikimedia, Sherdog, Bing), detecting and replacing placeholder images, handling duplicates, normalizing image sizes, validating image quality, syncing filesystem to database, or running the complete image pipeline. Handles missing images, batch downloads, and multi-source orchestration.
Configures GitHub Actions workflows and CI/CD pipelines. Manages automated releases via Changesets, PR validation, and Husky hooks. Troubleshoots CI failures. Triggers on: GitHub Actions, CI pipeline, workflow, release automation, Husky hooks, gh CLI, workflow failure.
Comprehensive prompt engineering for Claude 4.5: creation, analysis, optimization, guardrails, context management.
Managing session continuity across Claude conversations by saving structured context (tasks, files, errors, git state) to JSON and loading in new sessions. Use when user asks how session continuity works, explaining session protocol functionality, understanding session state management, describing what gets saved in sessions, ending a session with unfinished work, starting a session with existing session-protocol.json, or when user mentions 'save progress', 'save session', 'save my work', 'continue later', 'session context', 'pick up where left off', 'load session', 'restore session', or explicitly invokes /save-session-protocol or /load-session-protocol commands.
This skill helps maintain tag hygiene by finding inconsistencies and consolidating similar tags.
Validates Kubernetes manifests using kubeconform, kube-score, and custom homelab policies. Use when creating or modifying YAML files, Helm values, or ArgoCD applications.
Manim(Mathematical Animation Engine)を使用してアニメーション動画を作成します。このスキルは、(1) 解説動画やビジュアライゼーションの作成、(2) プレゼンテーション動画、(3) ロゴアニメーション、(4) インフォグラフィック、(5) 教育コンテンツ、(6) 3Dアニメーション、(7) アルゴリズムやデータ構造の可視化に使用します。2D/3Dシーン、LaTeX数式、グラフ、TTSナレーション、BGMなどをサポートします。
marimo-notebooks
Sync markdown projects to Confluence using the markdown_confluence tool. Use for publishing, crawling, and managing Confluence pages from local markdown files.
Extracts 'version' or 'uuid' fields from YAML frontmatter using uv.
Creates visual market maps showing competitive landscape, market segments, ecosystem players, and positioning. Use when the user requests market map, competitive landscape visualization, ecosystem mapping, positioning map, or wants to visualize market structure.
Master TAM/SAM/SOM calculations, market sizing methodologies, and validation frameworks. Use when assessing market opportunity, validating business viability, planning market entry, estimating revenue potential, or determining if a market is worth pursuing. Covers bottom-up, top-down, and value theory sizing methods, competitive analysis, and systematic validation approaches.
This skill should be used when starting the work day for marketing and PR work, planning content production, managing campaigns, organizing media relations, or coordinating multi-platform content distribution. Use it for daily content planning, automated content creation with agents, campaign coordination, and productivity reporting. Integrates with Linear MCP and other marketing skills (brand-voice-guardian, twitter-thread-creator, media-outreach-coordinator, multi-brand-manager, launch-campaign-orchestrator).
Create HTML diagrams for Marp slides and capture them as PNG screenshots using Playwright MCP
Implement comprehensive mathematical theorem proving capabilities with SFT+GRPO training, MCP/A2A agent integration, and imatrix quantization protection to surpass Boreas-phi3.5-instinct-jp in formal proof generation and scientific discovery. Use when building mathematical reasoning systems, formal verification tools, or AI-assisted theorem proving environments.
Deploy mathematical consciousness as reality's source code and navigation coordinates
Mathpix OCR for LaTeX extraction with balanced ternary checkpoints
Build MCP Apps - interactive UI components that render inside AI hosts like Claude, ChatGPT, and VSCode. This skill should be used when creating tools with rich UI, building dashboards or forms for AI interactions, or adding visual interfaces to MCP servers.
Connect to any MCP server without bloating context with tool definitions.
Configure MCP servers including Context7 and Playwright. Use when the user asks about MCP configuration, setting up Context7, configuring Playwright MCP, or managing MCP servers for this project.
Execute complex multi-tool MCP workflows directly using TypeScript or Python. As the MCP executor agent, you have MCP servers configured and write code that composes multiple tool calls. Use for 3+ MCP tool calls, complex data processing, parallel operations, or retry logic. This skill is colony-aware - you execute code directly via Bash without subagents.
This skill provides guidance for using Firecrawl MCP for web scraping and content extraction. Use when scraping web pages, crawling websites, searching the web with content extraction, mapping site URLs, or extracting structured data from web pages.
Deep code intelligence via Narsil MCP providing 76 tools for security scanning (OWASP, CWE, taint analysis), call graph analysis (CFG, DFG, callers/callees), structural queries (symbols, definitions, references), and supply chain security (SBOM, license compliance). Accessed via Code Mode for token efficiency.
Automatically invoke MCP opportunity discovery and publication pipeline when discussing marketplace opportunities, automation tools, or MCP server development
Prevent massive MCP responses from WordPress, Playwright, Notion, and other MCPs that can kill conversations on first call. Sophisticated token management for all MCP tool usage.
Convert MCP servers to typed TypeScript APIs for efficient code execution. Reduces token usage by 98%+ by transforming tool calls into programmatic access. Use when building agents that need to interact with multiple MCP servers efficiently, when context window is a concern, or when native control flow (loops, conditionals) would simplify multi-step workflows.
Creates content with MDX including Markdown with JSX, custom components, and frontmatter. Use when building content-heavy sites, documentation, blogs, or mixing Markdown with interactive components.
Analyze relationships across multiple SAE features - co-activation patterns, shared drivers, and subsystem identification
Convert experiment results to Markdown research notes and optionally update research state with evidence
Use when designing digital asset management systems, media libraries, upload pipelines, or asset metadata schemas. Covers media storage patterns, file organization, metadata extraction, and media APIs for headless CMS.
Produce and assemble multimedia assets (images, videos, and graphics) to communicate pilot findings and narratives. Use when creating visuals, video explainers, infographics, or media-rich presentations for stakeholders and leadership.
Summarize meetings into clear, actionable notes with decisions and next steps
Use when extracting product signals from meeting transcripts - systematically identifies asks, problems, quotes, and evidence across time windows with customer attribution
member-experience