Skills
100,928 packaged capabilities and playbooks for agents. Install any of them with one command.
All
Convert Lanelet2 maps (.osm) to RoadRunner HD Map (.rrhd) format using MATLAB. Use when converting Lanelet2 maps into RoadRunner Scene Builder, building driving scenes from open-source map data, or transforming road network definitions for simulation.
Use when building or auditing Roblox monetization — Developer Products (Robux purchases via ProcessReceipt), Gamepasses, gem/currency bundles, or anything touching real Robux. Covers the idempotency + rollback pattern that prevents "charged but got nothing" and money-duplication bugs, plus DevProduct/Gamepass setup.
Build Roblox VFX to a pro standard headlessly - anime-style moves, slashes, beams, impacts, auras, ultimates, summons - authored as effect definitions you can judge frame by frame in a browser simulator of Roblox's own VFX instances, with a generated library of 2,000+ original textures, Blender meshes for anything the effect IS (weapons, creatures, craters, debris), a polish pass, a pre-recording gate and a hit system that makes the target react like a body, then exported as a Studio kit. Also harvests free Creator Store VFX packs you have taken into your own account into a searchable library of portable JSON recipes and emits them as a Luau runtime module (VFXKit). No harvested effects ship. Use whenever the user wants a Roblox particle effect, explosion, aura, hit effect, fire, smoke, sparks, magic or anime move made rather than dragged in by hand, wants effects that look professional rather than generic, wants to build a reusable VFX library from packs they own, or asks why their ParticleEmitter is invisible, never stops, or looks nothing like it did in the pack they copied it from.
Skill for ROS 1 / ROS 2 robot development, migration, and joint debugging. Covers common engineering scenarios such as catkin/catkin_tools, colcon/ament, package.xml, CMakeLists.txt, launch, URDF/Xacro, RViz, TF, Navigation2, ros2_control, serial/CAN, MCU, and micro-ROS.
Requests or contribute a new sales/marketing/GTM skill that doesn't exist yet, or share learnings discovered during skill usage back to the community. Use when no existing skill covers the user's need — helps them build the skill and submit a PR, or file an issue requesting it. Also use when the user says 'there should be a skill for this', 'can we make a skill', 'I want to contribute a skill', 'none of the sales skills cover my use case', 'share my learnings', 'contribute learnings', 'share what I learned', or 'push learnings upstream'. Do NOT use for routing an objective to an existing skill (use /sales-do) or browsing the catalog of available skills (use /sales-third-party).
Consolidate all SAST vulnerability results from the sast/ folder into a single final report ranked by severity and confidentiality impact. Reads all *-results.md files and produces sast/final-report.md. Run after all vulnerability detection skills complete. Use when asked to generate a final report, consolidate findings, or summarize security results.
Detect Server-Side Request Forgery (SSRF) vulnerabilities in a codebase using a three-phase approach: recon (find outbound call sites), batched verify (trace user input to destinations in parallel subagents, 3 sites each), and merge (consolidate batch results). Requires sast/architecture.md (run sast-analysis first). Outputs findings to sast/ssrf-results.md. Use when asked to find SSRF or server-side request forgery bugs.
Detect XML External Entity (XXE) vulnerabilities in a codebase using a three-phase approach: recon (find XML parsing sites without external-entity hardening), batched verify (trace user input to each site in parallel subagents, 3 sites each), and merge (consolidate batch results). Requires sast/architecture.md (run sast-analysis first). Outputs findings to sast/xxe-results.md. Use when asked to find XXE or XML injection bugs.
Python library scikit-bio for biological sequence and community-ecology analysis: DNA/RNA/protein sequences, pair_align alignment, phylogenetic trees (NJ, UPGMA, GME/BME, Newick), alpha/beta diversity including Faith's PD and UniFrac, PCoA/CCA/RDA ordination, PERMANOVA/ANOSIM/Mantel tests, ancom and dirmult differential abundance, BIOM tables, and FASTA/FASTQ/GenBank I/O. Use when computing microbiome diversity from a BIOM or feature table. Use when running PCoA and PERMANOVA on a distance matrix. Use when building or comparing phylogenetic trees from sequences. Use when reading, converting, or aligning FASTA/FASTQ/GenBank/Newick data. Use when testing differential abundance in compositional count data. Not for general-purpose sequence scripting where Biopython is enough.
Plan a web scrape and author a validated extraction spec — explore a detail page, discover fields, confirm the schema, then validate it with more pages, HTML-variant comparison, extracted values, and an optional browser review, and present the plan for approval.
Read this BEFORE writing, modifying, debugging, or explaining any Scrapy or web-poet code — spiders, page objects, pipelines, settings, selectors — down to a one-line fix, or scaffolding/configuring a Scrapy project, scrapy-poet, scrapy-zyte-api, or browser rendering. These libraries moved on since your training cutoff; invoke this FIRST. NOT for building a scraper for a given site (scrape), a saved HTML file (scrape-analyze-page), or Scrapy Cloud deploy/jobs (zyte).
Script-writer that drafts presentations, essays, emails, and slides using only the cognitive and persuasive heuristics from Patrick Winston's "How to Speak" lecture, rejecting conventional writing advice in favor of Winston's evidence-based rules.
Use this skill whenever users mention “分身” or make any related request: create, view, edit, delete, evaluate, share, and manage Avatars; chat with your own or others’ Avatars; and handle regular Second Me user operations such as sign-in and registration, managing identity and appearance (Profile), materials (Note), and key memories (Key Memory).
Comprehensive security and compliance scanning for AWS CDK projects. Use when running security audits, checking license compliance, scanning container vulnerabilities, or running aggregated SAST/IaC/secret analysis before deployment.
Design production-ready prompts, shot plans, storyboards, extensions, and video edits for Jimeng Seedance 2.5. Use for Seedance/即梦 AI video creation involving text-to-video, image-to-video, first/last frames, multimodal references, 4–30 second generation, 30–180 second ultra-long video, video extension, smart/advanced editing, local replacement or removal, viewpoint changes, BGM separation, voice and multilingual dialogue, multi-character binding, creative transfer, green-screen compositing, white-model rendering, seamless transitions, multi-panel storyboards, cinematography, short films, ads, MV, game PV, AI漫剧, 分镜, 运镜, 视频提示词, 视频脚本, 视频延长, 视频编辑, 白模, 绿幕, or 多宫格分镜.
Instrument an application with Sentry — detect the platform, install and initialize the SDK if needed, and wire up any signal — error monitoring, tracing/performance, logging, metrics, profiling, session replay, user feedback, cron check-ins, uptime monitors for the deployed app, and AI/LLM monitoring (agent runs, token cost, and conversations for OpenAI, Anthropic, Vercel AI, LangChain, Google GenAI, Pydantic AI, Laravel AI, Mastra, Eve, Flue, Pi Durable, the Cloudflare Agents SDK, and Workers AI). Use to add Sentry to a project or to capture more than errors.
Generate one unified performance report that brings together SEO rankings, AI-search visibility (SE Ranking) and social engagement (Planable) — delivered as a short text summary in chat plus a self-contained interactive HTML report. Use this skill whenever the user wants a combined cross-channel report, or says things like "give me a full report across SEO and social", "how did we do this month across search and social", "combined SEO + AI + social report for [client]", "build a cross-channel dashboard", or "one report that covers rankings, AI visibility and social". Always activate when the request spans both search (SE Ranking) and social (Planable) in a single report.
SEO drift monitoring: capture baselines of SEO-critical elements, detect changes, and track regressions over time. Git for SEO — baseline, diff, and track changes to your on-page SEO. Use when user says "SEO drift", "baseline", "track changes", "did anything break", "SEO regression", "compare SEO", "before and after", "monitor SEO changes", or "deployment check".
E-commerce SEO analysis: Google Shopping visibility, Amazon marketplace intelligence, product schema validation, competitor pricing analysis, and marketplace keyword gaps. Combines on-page product SEO with marketplace data from DataForSEO Merchant API. Use when user says "ecommerce SEO", "product SEO", "Google Shopping", "marketplace SEO", "product schema", "Amazon SEO", "product listings", "shopping ads", or "merchant SEO".
FLOW framework integration — evidence-led SEO using the Find → Leverage → Optimize → Win loop. Surfaces stage-specific AI prompts from the FLOW knowledge base (41 prompts, CC BY 4.0). Use when user says "FLOW", "FLOW framework", "seo flow", "evidence-led SEO", "find leverage optimize win", or wants stage-specific SEO prompts.
Turn SE Ranking search-opportunity insights into a ready-to-publish social campaign in Planable. Use this skill whenever the user wants to convert SEO research into social content — keyword gaps, competitor wins, ranking losses, question keywords, or new topic opportunities — and have the posts drafted and scheduled in Planable. Trigger on things like "what should we post based on our SEO data", "turn these keyword gaps into posts", "our competitor is ranking for X, make social content about it", "repurpose our ranking opportunities into a campaign", "build a social campaign from search demand", or "fill the calendar based on what people are searching". Always activate when SE Ranking research is the starting point and Planable is the destination.
Server security audit and hardening. Scans for security issues such as SSH, firewall, port exposure, file permissions, and brute-force attacks, generates a report, and offers one-click fixes. Use when the user mentions server security, security audit, security check, or security hardening.
Populates and maintains a project's data catalog (semantic layer): canonical metrics, trust marks (certifications) on warehouse tables/views, and reviewed table relationships. Use when asked to set up / seed / bootstrap the data catalog or semantic layer, to catalog a project's metrics, to certify or deprecate data sources, to propose or review table joins, or to work through the proposal review queue. To *use* an existing catalog to answer a business-number question, see querying-posthog-data instead. Trigger terms: data catalog, semantic layer, canonical metric, certify table, deprecate source, relationship proposal, metric drift, review queue.
Build, review, migrate, and deploy Salesforce Multi-Framework React or Angular apps as UIBundle metadata. Use for uiBundles, ui-bundle.json, Data SDK and GraphQL integration, internal apps, Experience Cloud app containers, microfrontend embedding, ACC, localization, or UIBundle packaging. Also use when choosing Multi-Framework versus LWC. Pure LWC or generic Apex work does not require this skill.
How to correctly insert overlay elements when the host is slotted inside a shadow DOM. Covers the parentElement trap, assignedSlot pattern, and the connectedCallback timing hazard. Use when inserting overlays, portals, or absolutely-positioned siblings of slotted elements.
Signals scout for PostHog distributed tracing (APM / OpenTelemetry spans). Watches per-service RED metrics for error-rate and latency regressions, new error signatures, and traffic cliffs, and audits for standing performance issues: N+1 calls, expensive query shapes, and caching candidates
Testing framework for evaluating Databricks skills. Use when building test cases for skills, running skill evaluations, comparing skill versions, or creating ground truth datasets with the Generate-Review-Promote (GRP) pipeline. Triggers include "test skill", "evaluate skill", "skill regression", "ground truth", "GRP pipeline", "skill quality", and "skill metrics".
Maintain and author Editframe's skills-as-docs system. Covers file structure, frontmatter schemas, rendering conventions (html live demos, callouts, API metadata), the generation pipeline, and build/push workflow. Use when creating or editing skill files, reference documentation, frontmatter, html live blocks, API metadata, or working on the skills web renderer.
This skill should be used when the user asks to "find flights", "compare itineraries", "search hidden-city routes", "check cheapest dates", "explore destinations anywhere", "search hotels", or "plan a trip". Ground outputs in Skiplagged MCP tool results for flights, fare calendars, anywhere discovery, and hotels.
A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. CoPaper.AI completes a reproducible, rigorous empirical paper in 20 minutes and supports user-uploaded Skills. Maintained by CoPaper.AI from Stanford REAP.
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.
