Unified guide for authoring dashboard panel components in vanilla TypeScript — covers the Panel base class architecture, localStorage state persistence, exponential-backoff retry, and CircuitBreaker integration. Shows how to wrap any existing fetchX() service call with CircuitBreaker.execute() as a one-liner and clarifies when each resilience layer is appropriate.
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。
HKUDS/OpenSpace☆ 7,7552026年8月13日 更新
Generate properly-formatted SKILL.md files from extracted architectural patterns. Turns raw pattern descriptions into reusable skills that OpenSpace can discover, select, and evolve.
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。
HKUDS/OpenSpace☆ 7,7552026年8月13日 更新
Analyze existing source code to identify key patterns and generate comprehensive educational skill documentation with proper YAML frontmatter, architectural analysis, code templates, and usage 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。
HKUDS/OpenSpace☆ 7,7552026年8月13日 更新
Create dashboard panel components with advanced event handling and form validation using vanilla TypeScript DOM API, following the worldmonitor Panel architecture.
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。
HKUDS/OpenSpace☆ 7,7552026年8月13日 更新
Create a dashboard panel component using vanilla TypeScript DOM API, following the worldmonitor Panel architecture. Panels have a header with title/count, scrollable content area, loading/error states, and resize handles.
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。
HKUDS/OpenSpace☆ 7,7552026年8月13日 更新
Create a dashboard panel component using vanilla TypeScript DOM API, following the worldmonitor Panel architecture. Panels have a header with title/count, scrollable content area, loading/error states, and resize handles. Includes XSS-safe rendering pattern with esc() helper for safely interpolating untrusted external API data into innerHTML.
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。
HKUDS/OpenSpace☆ 7,7552026年8月13日 更新
Analyze a reference codebase to discover and extract reusable architectural patterns. Produces structured pattern descriptions that can be turned into standalone skills. This is a meta-skill that bootstraps the skill evolution chain.
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。
HKUDS/OpenSpace☆ 7,7552026年8月13日 更新
Builds custom fuzzers with LibAFL, the modular Rust fuzzing library. Covers composing observers, feedbacks, mutators, schedulers, and executors into a fuzzer for targets the standard tools do not fit. Use when writing a bespoke fuzzer or mutator, fuzzing a non-standard target or architecture, implementing a fuzzing research idea, or when libFuzzer and AFL++ lack the control you need.
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。
trailofbits/skills☆ 7,6312026年10月16日 更新
Generates Mermaid diagrams from Trailmark code graphs. Produces call graphs, class hierarchies, module dependency maps, containment diagrams, complexity heatmaps, and attack surface data flow visualizations. Use when visualizing code architecture, drawing call graphs, generating class diagrams, creating dependency maps, producing complexity heatmaps, or visualizing data flow and attack surface paths as Mermaid diagrams.
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。
trailofbits/skills☆ 7,6312026年10月16日 更新
Smart contract development advisor based on Trail of Bits' best practices. Analyzes codebase to generate documentation/specifications, review architecture, check upgradeability patterns, assess implementation quality, identify pitfalls, review dependencies, and evaluate testing. Use when asking whether a smart contract project follows development best practices, reviewing on-chain/off-chain split, upgradeability, or delegatecall proxy patterns against guidelines, or seeking recommendations on contract design, inheritance, events, documentation, dependencies, or test 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。
trailofbits/skills☆ 7,6312026年10月16日 更新
Understand a codebase before looking for bugs in it - what each function assumes, what it guarantees, and what it depends on elsewhere. Use when starting an audit, threat model, or architecture review on unfamiliar code, and before any vulnerability-hunting pass.
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。
trailofbits/skills☆ 7,6312026年10月16日 更新
Comprehensive API security testing methodology covering REST, gRPC, and WebSocket attack surfaces. Addresses the full OWASP API Security Top 10 2023 including BOLA/IDOR, broken authentication, excessive data exposure, rate limiting bypass, BFLA, mass assignment, SSRF, and security misconfiguration. Includes REST-specific attacks such as HTTP verb tampering, content-type switching, and parameter pollution. Covers gRPC exploitation through protobuf interception, reflection API enumeration, and metadata injection. Addresses WebSocket vulnerabilities including origin bypass, message injection, and cross-site WebSocket hijacking. Provides tooling guidance for Burp Suite, Postman, grpcurl, websocat, and mitmproxy. Each technique includes detection signatures and defensive indicators so you understand what artifacts your testing leaves behind. Designed for authorized penetration testing engagements against API-driven architectures.
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。
SnailSploit/Claude-Red☆ 7,5972026年10月13日 更新
Command and Control framework deployment, configuration, and operational tradecraft for red team engagements. Covers Cobalt Strike (malleable C2 profiles, Beacon types HTTP/HTTPS/DNS/SMB, Beacon Object Files for in-memory execution, sleep and jitter tuning, named pipe pivoting), Sliver (implant generation across mTLS/WireGuard/DNS transport, operator multiplayer mode, armory extensions), Mythic (agent ecosystem with Apollo/Poseidon/Medusa, C2 profile configuration, translation containers), Havoc (Demon agent with sleep obfuscation via Ekko/Zilean, indirect syscalls, dotnet inline execution), Metasploit (msfvenom payload generation, multi/handler staging, Meterpreter post-exploitation modules), redirector architecture using Apache mod_rewrite and Nginx, domain fronting through CDN providers, DNS-based C2 for restrictive network egress, and TLS certificate management for infrastructure OPSEC. Tools: Cobalt Strike, Sliver, Mythic, Havoc, Metasploit Framework. Aligns to MITRE ATT&CK T1071 (Application Layer Protocol), T1573 (Encrypted Channel), T1090 (Proxy/Connection Proxy).
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。
SnailSploit/Claude-Red☆ 7,5972026年10月13日 更新
Set browser-game architecture before implementation. Use when the user needs engine choice, simulation and render boundaries, input model, asset organization, or save/debug/performance 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。
openai/plugins☆ 7,4932026年10月8日 更新
Lay out and export data-rich reports and documents. Use when the user needs report structure, figure packaging, PDFs, PowerPoint or Google Slides automation, or programmatic insertion of visualizations, UML-like diagrams, or architecture diagrams into documents.
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。
openai/plugins☆ 7,4932026年10月8日 更新
Choose, lay out, critique, and explain data visualizations. Use when the user asks what visualization fits a dataset or goal, how a chart, dashboard, operational workspace, UML-like diagram, or software architecture diagram should be composed or interacted with, asks for visual page design, a layout mockup, generated large-screen and mobile concept images, or to be shown what a visualization could look like, when domain-native contextual surfaces or graphical backgrounds may help, when scrollytelling or parallax might be appropriate, wants a critique of an existing visualization, or needs guidance grounded in trusted visualization theory and practice. For advanced visual design or page-layout prompts where composition affects understanding, Codex must generate and show both large-screen and mobile portrait image concepts before implementation or text-only design handoff, plus mobile landscape when needed.
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。
openai/plugins☆ 7,4932026年10月8日 更新
Integrate data visualizations into React and Next.js applications. Use when the user needs chart components, UML-like or architecture diagram components, React integration patterns, Next.js client or server boundaries, hydration-safe rendering, lazy loading, framework-aware performance, scroll-driven visual stories, or export guidance.
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。
openai/plugins☆ 7,4932026年10月8日 更新
Render data visualizations with Canvas2D. Use when the visualization needs high mark counts, fast redraws, immediate-mode rendering, custom hit testing, or a hybrid Canvas plus SVG or HTML architecture.
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。
openai/plugins☆ 7,4932026年10月8日 更新
Turns rough ideas into approved, decision-complete plans before coding. Use when planning architecture, judging whether to build, or writing a handoff. Not for bug fixes or small edits.
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。
tw93/Waza☆ 7,3192026年10月15日 更新
Build agents and multi-agent systems with the Swarms framework — the Agent class, tools, autonomous loops, memory, and the 15+ multi-agent architectures (SequentialWorkflow, ConcurrentWorkflow, GraphWorkflow, HierarchicalSwarm, SwarmRouter, and more). Use whenever writing, reviewing, or debugging code that imports `swarms`.
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。
kyegomez/swarms☆ 7,2772026年10月18日 更新
When the user wants to build video-first cold outreach, create personalized video at scale, implement async selling, or use AI demo generation for prospecting. Also use when the user mentions 'video outreach,' 'personalized video,' 'video prospecting,' 'Tavus,' 'Sendspark,' 'HeyGen,' 'video email,' 'async selling,' 'video demo,' or 'made this for you.' This skill covers video-first outreach systems from personalization through conversion optimization. Do NOT use for technical implementation, code review, or software architecture.
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。
tech-leads-club/agent-skills☆ 7,0692026年10月17日 更新
When the user wants to reduce churn, build expansion revenue, automate customer success, or optimize net revenue retention. Also use when the user mentions 'churn,' 'retention,' 'expansion revenue,' 'upsell,' 'NRR,' 'net revenue retention,' 'customer success,' 'land and expand,' 'closed-lost,' or 'renewal.' This skill covers expansion and retention systems from usage triggers through automated customer success. Do NOT use for technical implementation, code review, or software architecture.
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。
tech-leads-club/agent-skills☆ 7,0692026年10月17日 更新
React and Next.js performance optimization guidelines from Vercel Engineering. Use when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements. Do NOT use for component API architecture or composition patterns (use react-composition-patterns instead).
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。
tech-leads-club/agent-skills☆ 7,0692026年10月17日 更新
Facilitates deliberate skill development during AI-assisted coding. Offers interactive learning exercises after architectural work (new files, schema changes, refactors). Use when completing features, making design decisions, or when user asks to understand code better. Triggers on "learning exercise", "help me understand", "teach me", "why does this work", or after creating new files/modules. Do NOT use for urgent debugging, quick fixes, or when user says "just ship it".
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。
tech-leads-club/agent-skills☆ 7,0692026年10月17日 更新