Skills
99,951 packaged capabilities and playbooks for agents. Install any of them with one command.
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Boxes-and-arrows diagrams on Moda with anchored connectors: flowchart, org chart, architecture, decision tree, swimlane, journey map, 2x2, quadrant, market map. Use for: “diagram this”. NOT: data charts → moda-chart; UI screens/wireframes → moda-mockup; a decorative shape graphic (a circle with a caption) → moda-social; a diagram for a deck/document being built stays with that skill.
Designs and reviews NestJS application architecture using cohesive feature modules, modular monoliths, layered or hexagonal boundaries, dependency inversion, and pragmatic engineering principles. Use when planning a NestJS project, changing module boundaries, evaluating Clean Architecture or DDD, resolving circular dependencies, defining ports and adapters, reviewing coupling, or deciding whether CQRS or microservices are justified. Do not use for pure frontend work or non-NestJS backends. When other skills also apply, reconcile ownership before mutation.
Creates and reviews executable implementation plans grounded in repository evidence, with vertical slices, explicit decisions, and verification criteria. Use when asked to “plan this feature,” “stress-test this plan,” “grill me,” or “split this into tickets.” For architecture, use codebase-architecture; for code review, use tidy
Prepare an entire site for migration by orchestrating the prep cascade — a full-inventory crawl (extract --prep), page-type and module-catalog confirmation (direct --prep), archetype prototypes plus design canon (prototype --prep), and asset preparation — with confirmation gates between phases. Builds the typed page inventory, confirmed module catalog, and canon consumed by `migrate`. Use when the user wants to prepare or set up a full-site migration, run migration prep, confirm page types and modules before migrating a site, get a large site ready to migrate, or invokes `$stardust prepare-migration`. Trigger phrases include “prepare the migration”, “migration prep”, “set up the migration data”, and “get the site ready to migrate”. Redesign flow only — for same-design migrations, `replica` runs its own preserve-mode prep cascade; never chain prepare-migration with replica. Not for running the migration itself (`migrate`) or converting a single page (`deploy`).
Comprehensive design architecture review for Python backend applications. Use this skill when users ask you to review, analyze, or provide feedback on backend architecture designs, system design documents, or Python application architecture. Covers scalability, security, performance, database design, API design, microservices patterns, deployment architecture, and best practices.
Compatibility alias for `video-production` when a prompt, setup surface, or legacy workflow explicitly asks for Remotion video production. Use when the request names Remotion, React-based video rendering, compositions, scene components, or a legacy `remotion-video-production` catalog entry, but the real workflow is still the canonical programmable-video lane. Prefer `video-production` for general use. Triggers on: remotion-video-production, Remotion render pipeline, React video composition, migrate old Remotion skill.
Meta-skill for making the agent self-improving. Covers updating AGENTS.md, creating new skills from repeated workflows, and deciding what to systematize. Invoke after completing tasks, when noticing repeated friction, or at session end.
Tactical user interface design guide for fixing layouts, selecting colors/fonts, and creating professional UIs. Use when the user asks to “make this look better,” needs help with CSS/styling decisions, wants to create a design system, or needs to fix a cluttered interface.
Safari browser automation CLI on macOS via safari-mcp. Controls real Safari (native, keeps logins) by wrapping the safari-mcp MCP server. Every one of the 84 MCP tools is exposed 1:1 with schema-accurate arguments — guaranteed parity, no manual drift.
Create professional equity research earnings update reports (8-12 pages, 3,000-5,000 words) analyzing quarterly results for companies already under coverage. Fast-turnaround format focusing on beat/miss analysis, key metrics, updated estimates, and revised thesis. Includes 1-3 summary tables and 8-12 charts. Use when user requests "earnings update", "quarterly update", "earnings analysis", "Q1/Q2/Q3/Q4 results", or post-earnings report.
Smart money concept (SMC / ICT) signal engine — identifies BOS (break of structure), ChoCH (change of character), FVG (fair value gap), order blocks, and liquidity grabs, and determines institutional money direction. Depends on the smartmoneyconcepts library. Triggers: "smart money", "SMC", "ICT", "order block", "BOS", "ChoCH", "FVG", "break of structure", "liquidity grab", "institutional money", "fair value gap", "ICT trading".
Create and edit Obsidian Flavored Markdown with wikilinks, embeds, callouts, properties, and other Obsidian-specific syntax. Use when working with .md files in Obsidian, or when the user mentions wikilinks, callouts, frontmatter, tags, embeds, or Obsidian notes.
NuGet package management best practices including versioning strategies, central package management, and dependency resolution. Use when setting up Central Package Management (CPM), managing package versions across multiple projects, or resolving dependency conflicts in .NET solutions.
Update skills, migrate skill copies left in the working repository, and compare canonical skills, symlinks, and the skill list. Defines how to check and update home skills with npx skills, suggest removing philtzjp/skills copies, handle local modifications, and check consistency between repository-specific skills and philtzjp/skills. Use when starting work, pulling skills from upstream again, finding a skill in .agents/skills or .claude/skills with the same name as one in philtzjp/skills, or adding, deleting, or renaming skills.
Research a vendor, product, or feature to collect all information needed before building an Elastic integration. Investigates data collection methods, API or log documentation, sample data formats, field schemas, ECS mapping candidates, and configuration requirements. Outputs a structured research brief to research_results/<product>/. Invoke manually with /research-integration.
Detect malicious patterns in AI Agent skills — 13 detectors for backdoors, credential theft, data exfiltration, and supply-chain attacks. Based on SlowMist's ClawHub threat intelligence (472+ malicious skills). Pure Python, zero dependencies.
Create and publish social media posts for Reddit, Twitter/X, LinkedIn, Instagram, Facebook, and TikTok. Platform-specific formats, character limits, hashtag strategies, hooks, and content repurposing. Can post directly to Reddit and other platforms via API. Trigger phrases: "social media post", "tweet", "LinkedIn post", "Instagram caption", "TikTok script", "social content", "social media copy", "carousel", "thread", "social media strategy", "repurpose content", "hashtag strategy", "post to reddit", "publish on social", "post on reddit", "share on social media".
Parse, read, search, navigate, summarize, extract, crop, enhance, dewarp or check images and documents for manipulation through xparse-cli. Use for document conversion, durable Task workflows, structured extraction, and domestic TextIn image processing or manipulation/AIGC detection of a local file or URL. Prefer it over raw PDF readers or custom OCR scripts
Use when someone wants a design system built from the UI an app already ships, or one phase of it, such as “extract tokens from the app”, “add states to our Button”, “replace the hardcoded colors with tokens” or “start a design system”. Moving screens onto an existing system's components is migrate-design-system. A vague whole-app ask goes to design-system-boss.
Convert websites into LLM-ready data with Firecrawl API. Features: scrape, crawl, map, search, extract, agent (autonomous), batch operations, and change tracking. Handles JavaScript, anti-bot bypass, PDF/DOCX parsing, and branding extraction. Prevents 10 documented errors. Use when: scraping websites, crawling sites, web search + scrape, autonomous data gathering, monitoring content changes, extracting brand/design systems, or troubleshooting content not loading, JavaScript rendering, bot detection, v2 migration, job status errors, DNS resolution, or stealth mode pricing.
Intel VTune and AMD uProf profiling skill for microarchitecture analysis. Use when analyzing hotspots, microarchitecture bottlenecks, memory access patterns, pipeline stalls, or using the roofline model. Covers VTune Community Edition (free) and AMD uProf as a free alternative. Activates on queries about VTune, uProf, microarchitecture analysis, pipeline stalls, memory bandwidth, roofline model, or hardware performance analysis.
Market microstructure analysis via Longbridge Securities — bid-ask spread, order-flow toxicity (large-order pressure), liquidity depth, price impact, and institutional order direction. Covers A-share call-auction analysis and HK block-trade mechanics. Triggers: "盘口分析", "微观结构", "订单流", "大单分析", "买卖价差", "逐笔分析", "买卖盘深度", "挂单墙", "主力动向", "集合竞价", "盤口分析", "微觀結構", "訂單流", "大單分析", "買賣價差", "逐筆分析", "買賣盤深度", "掛單牆", "主力動向", "market microstructure", "order flow", "bid-ask spread", "depth analysis", "large order", "order book imbalance", "price impact", "auction analysis", "institutional order flow".
Guides writing academic papers section by section using an 11-step workflow with LaTeX templates and counterintuitive writing tactics. Covers Abstract, Introduction, Method, Experiments, Related Work, Conclusion, and Supplementary. Use when: user asks to write or draft a paper section, needs LaTeX templates, wants to improve academic writing quality, optimize novelty framing, or mentions 'write introduction', 'draft method', 'paper writing'. Do NOT use for pre-submission review (use paper-review), experiment execution (use experiment-pipeline), or paper planning/story design (use paper-planning).
Looks up current LiveKit facts (API signatures, CLI flags, config options, model and provider support, SDK changelogs, pricing) from the docs instead of answering from memory. Use whenever a question touches LiveKit specifics: "does LiveKit support X", "what changed in agents 1.8", "what are the arguments to Y", "how much does LiveKit cost", "find an example of Z in the LiveKit repos", or before writing any LiveKit code. Other LiveKit skills load this one first. Covers the LiveKit Docs MCP server and the `lk docs` CLI.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.