Skills
100,696 packaged capabilities and playbooks for agents. Install any of them with one command.
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Native AOT, trimming, and single-file publishing for .NET 10: PublishAot, IsAotCompatible analyzers, source-generated JSON/regex/logging/config binding, fixing IL2xxx/IL3xxx trim and AOT warnings, per-RID publishing, and when NOT to use AOT. Load when the user mentions "Native AOT", "PublishAot", "trimming", "PublishTrimmed", "single-file", "IL2026", "IL3050", "trim warning", "startup time", "self-contained", or "JsonSerializerContext"
Project development lifecycle management with a complexity-tiered three-phase workflow (investigate, proposal, implement; trivial changes take a fast path, everything else waits for approval), file-based plan tracking in docs/plan/, task tracking in docs/task/, and claim-before-work multi-agent coordination. Use when handling feature development, bug fixes, refactors, planning, progress tracking, or multi-agent execution in an existing codebase. English-first for repository docs and remote-visible metadata; use Chinese docs only when the user explicitly requests a specific document in Chinese
Group recent conversations into overall requests, review each one's progress from memory, sort each into one of the owner's focus areas, and write the build story, so My Work shows progress meters, shipping velocity and learned working preferences. Use when asked to “group requests,” “group by overall request,” “review request progress,” “refresh progress,” “build story,” “shipping velocity,” or “how do I like to work with agents”.
Use when skinning a character in Maya ("bind skin", "fix the weights", weight painting, Skin Tools or ngSkinTools layers), when deformation looks wrong (pinching, candy-wrapper wrist, collapsing elbow or shoulder, volume loss, clothes poking through), when mirroring, copying or capping skin weights for Unreal or Unity, building blend shapes, corrective shapes or pose space deformation (Pose Editor on IK-driven joints), a face rig with shapes or joints, multiple skinClusters, Delta Mush or the ML Deformer, or running a range-of-motion deformation test.
Use when lighting or rendering in Maya with Arnold: a product hero shot, a character close-up or a sequence (master and shot lighting), key, fill and rim placement, "the Arnold render is noisy" or fireflies, render settings and time budgets, AOVs, light groups and EXRs for Nuke, OIDN or noice denoising, ACES or OCIO color, renders that look flat or too dark, Render Setup layers, batch or command-line renders, or judging a lit frame like a lighting supervisor.
Compare tradeoffs and recommend architectural patterns — dependency injection, service-oriented architecture, repository, domain events, circuit breaker, and anti-corruption layer. Use when choosing between design patterns, planning microservices boundaries, evaluating system design alternatives, or asking 'which pattern should I use' for a specific coupling or resilience problem.
Build and troubleshoot Syncfusion Blazor diagrams using SfDiagramComponent. Trigger for flowcharts, org charts, mind maps, BPMN, UML sequence, swimlanes, symbol palettes, nodes/connectors/ports/annotations, layouts, data binding, serialization (load/save), export/print, and collaborative editing questions. Provide Blazor + Syncfusion setup steps, configuration patterns, and sample snippets
Report how many tokens the Roslyn Navigator MCP server has saved, across one repository or all of them, with a per-tool leaderboard, adoption rate, and the methodology behind the number. Use when: "token report", "token savings", "how many tokens saved", "is the MCP worth it", "MCP usage", "tool leaderboard", "adoption rate", "which MCP tools are used", "prove the savings"
Rapid pathogen characterization and drug repurposing for outbreaks. Combines pathogen genomics (NCBI, BVBRC), host immune response (IEDB), drug-target databases (ChEMBL, DGIdb), and literature surveillance (PubMed/EuropePMC). Use for emerging-pathogen profiling, antiviral candidate identification, and outbreak intelligence reporting.
Next.js performance optimization and best practices. Use when writing Next.js code (App Router or Pages Router); implementing Server Components, Server Actions, or API routes; optimizing RSC serialization, data fetching, or server-side rendering; reviewing Next.js code for performance issues; fixing authentication in Server Actions; or implementing Suspense boundaries, parallel data fetching, or request deduplication.
Create, generate, update, repair, trim, or split minimal AGENTS.md files for repository roots and confirmed nested modules using progressive disclosure. Use for missing, bloated, contradictory, or outdated agent instructions, monorepos, services, packages, module context, and portable agent guidance without assuming any fixed agent folder structure.
Sculpting in Blender 5.2 — base-to-detail workflow, voxel remesh, dyntopo, multires, 5.x brush types, masks/face sets, symmetry, plus headless-safe procedural ops for agents (remesh, symmetrize, multires, inflate, noise detail, smooth) and the sculpt-to-game handoff. Use for organic models, characters, creatures, rocks and bake sources.
Design, build, run, and test Restate durable services, virtual objects, workflows, and AI agents across TypeScript, Python, Java, and Go. This skill should be used when the user mentions "restate", "durable execution", "virtual object", "restate service", "restate workflow", "durable agent", "durable coroutines" or wants to build resilient backend services, AI agents, or workflows with automatic failure recovery. Also use when converting existing applications or migrating from workflow orchestrators to Restate. Use proactively when a project contains restate dependencies in package.json, requirements.txt, pyproject.toml, pom.xml, build.gradle, or go.mod.
Full blockchain ecosystem analysis covering TVL, top protocols, bridge flows, stablecoin supply, DEX volume, fees, and user activity on a chain. Use when the user asks about a blockchain's ecosystem, "what's happening on Solana", chain health, or a chain-level overview.
Author or edit Clayzo animation documents and interactive animated components with the typed authoring package. Use for motion design, product microinteractions, pointer behavior, loops, 2.5D camera work, glass, dithering, custom shaders, previewing, and revision-bound self-review.
Monthly CFO workflow for a company or agency — pull raw data from bank + payment processor + payroll + expense management, categorize and reconcile, compute end-of-month cash via transaction-sum method, update a scenario projector for forward forecasting, write the monthly snapshot report, surface decisions to leadership. Modes — monthly (default; the standing report), weekly (thin cash pulse), scenario (ad-hoc modeling in the projector), pickup (resume where the prior run left off). Anonymized team-scope sibling to personal-cfo (which handles personal household finances). Composes with company-brain (report gets stored + wiki-indexed there), toolify (wire company-specific data sources), loopify (schedule the monthly + weekly runs). Triggers on "/company-cfo," "/cfo," "monthly cash report," "do the CFO snapshot," "CFO monthly," "let's run CFO," "cash projection," "runway forecast," "monthly financials," "cash pulse."
When you want multi-source, multi-step research on a topic — competitor research before a sales call, market research for a new business idea, positioning angles, due diligence on a partnership or podcast guest, tech decision research (which DB, which auth), or any \"I need to actually understand X.\" Combines web search, URL fetch, agent-browser, last30days (Reddit/X/YouTube/HN/web recency), memory, and Notion. Outputs a structured brief with citations, contradictions, gaps, and recommended next steps. Archives every research run to ~/.config/makerskills/deep-research/archive/ so past work is searchable. Triggers on \"/deep-research,\" \"research X,\" \"investigate X,\" \"do a deep dive on X,\" \"look into X,\" \"what's actually happening with X,\" \"due diligence on X,\" \"validate this market.\" Differs from a one-shot web search: this is multi-pass with verification. Not for standing monitoring (radar) or pulling one post or video (social-fetch, watch-video).
Best practices and workflow guide for Git version control. Use when: (1) writing Git commit messages (applying Conventional Commits); (2) creating and managing branches (based on GitHub Flow); (3) creating PRs and choosing merge strategies; (4) cleaning up Git history (rebase, squash, cherry-pick); (5) resolving merge conflicts; or (6) tasks include the keywords “git,” “.git,” “commit,” “branch,” “merge,” or “rebase”
Configure GitLab CI/CD pipelines and runners for automated building, testing, and deployment. Create .gitlab-ci.yml configurations, manage runners, and implement DevOps workflows. Use when working with GitLab repositories or self-hosted GitLab instances.
Use when querying or extending GitNexus's PDG control/data-dependence surface (the `pdg_query` MCP tool, CDG/REACHING_DEF edges), or reasoning about "what controls X" / "where does Y flow" / guard clauses. Examples: "what guards this statement?", "trace this variable within the function", "why is the pdg_query result empty?", "add a CDG query".
Expert patterns for AnimationTree, including StateMachine transitions, BlendSpace2D for directional movement, BlendTree for layered animations, root motion, transition conditions, advance expressions, and state machine sub-states. Use for complex character animation systems with movement blending and state management. Trigger keywords: AnimationTree, AnimationNodeStateMachine, BlendSpace2D, BlendSpace1D, BlendTree, transition_request, blend_position, advance_expression, AnimationNodeAdd2, AnimationNodeBlend2, root_motion
Expert blueprint for inventory systems (Diablo, Resident Evil, Minecraft), covering slot-based containers, stacking logic, weight limits, equipment systems, and drag-and-drop UI. Use when building RPG inventories, survival item management, or loot systems. Keywords: inventory, slot, stack, equipment, crafting, item, Resource, drag-and-drop.
Fetch Google review ratings and review counts for businesses via DataForSEO API. Use when the user asks to check Google reviews, get review counts, compare business ratings, audit Google Maps presence, or analyze competitor reviews.
Identifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.
Route runtime-log requests into one evidence packet before diagnosing anything. Use when the user shares app/server/container/browser/CI/JSON log output and wants the first actionable blocker, repeated signature, likely blast radius, or safest next read-only checks. Choose one packet: app-runtime, container-runtime, browser-plus-api, ci-cascade, structured-json, or security-signal. Triggers on: check the logs, which line matters, real error, first blocker, noisy stack trace, retry storm, browser 401/500, pod logs, worker crash, CI abort, webhook failure. Route engine-specific Unity/Unreal logs to `game-build-log-triage`, observability design to `monitoring-observability`, and remediation/debug hypotheses to `debugging`.
Specializes in analyzing Lynx trace data to diagnose performance issues and provide actionable optimization strategies. Key Scenarios: - Loading Performance: Diagnosing slow startup metrics (FCP, FMP, TTI) and white screen issues. - Smoothness Analysis: Investigating root causes for scroll jank, frame drops, and interaction lag. - Regression Detection: Comparing traces to identify performance degradation or verify optimization gains between versions. - Pipeline Deep Dive: Pinpointing bottlenecks in specific rendering stages like Layout, Paint, JS execution, and background threads. - Native Module Analysis: Investigating performance issues related to native module calls. - Memory Analysis: Diagnosing high PSS, page lifecycle leaks, shared BTS context growth, VM pool waste, and JS heap snapshots.
Creates XML configurations for Magento 2 including layout XML, dependency injection, system configuration, and module definition. Use when working with XML configuration files, layout XML, di.xml, or system.xml. Masters XML schema design, validation, and configuration management.
Expert guide for the Gemini Notebook (formerly Google NotebookLM) CLI (`nlm`) and MCP server — interfaces for Gemini Notebook. Use this skill when users want to interact with Gemini Notebook programmatically, including: creating/managing notebooks, checking plan usage and quota windows, adding sources (URLs, YouTube, text, Google Drive), generating content (podcasts, reports, interactive reports, quizzes, flashcards, mind maps, slides, infographics, videos, data tables), conducting research, chatting with sources, or automating Gemini Notebook workflows. Triggers on mentions of "nlm", "notebooklm", "Gemini Notebook", "plan usage", "quota", "podcast generation", "audio overview", "interactive report", "lesson report", "refactor document", "critique draft", or any Gemini Notebook-related automation task
Prisma ORM expert for schema design, migrations, query optimization, relations modeling, and database operations. Use PROACTIVELY for Prisma schema issues, migration problems, query performance, relation design, or database connection issues.
Run a bounded cross-platform landscape scan before planning or implementation. Use when the real job is researching what exists, how people work around it, which solutions repeat, or how platform/tooling patterns map before deciding what to build. Produce reusable `.survey/{slug}/` artifacts, validate the artifact contract, and route planning or execution outward only after the survey is done.
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to “open a website”, “fill out a form”, “click a button”, “take a screenshot”, “scrape data from a page”, “test this web app”, “login to a site”, “automate browser actions”, or any task requiring programmatic web interaction.
Helps developers read Chainlink price feeds with AggregatorV3Interface and latestRoundData. This is not a Data Streams report. REST and WebSocket report streams go to chainlink-data-streams-skill. It applies to price feed integration, feed address lookup, consumer contracts, multi-chain feeds, MVR bundle feeds, SVR and OEV feeds, feed monitoring, historical data, L2 sequencer checks, rates and volatility feeds, and SmartData and RWA feeds.
Communications-domain literature review with Claude-style knowledge-base-first retrieval. Use when the task is about communications, wireless, networking, satellite/NTN, Wi-Fi, cellular, transport protocols, congestion control, routing, scheduling, MAC/PHY, rate adaptation, channel estimation, beamforming, or communication-system research and the user wants papers, related work, a survey, or a landscape summary.
Design storage-model and migration-safety packets for relational, document-heavy, and hybrid data systems. Use when the user needs entity ownership, constraints, indexes, staged schema changes, or queryable-vs-flexible field decisions across backend/fullstack products, internal ops tools, marketing/customer-data workflows, or game/live-ops systems. Route API contracts to api-design, auth-owned identity/session modeling to authentication-setup, verification to backend-testing, and reporting/telemetry follow-through to looker-studio-bigquery or monitoring-observability.
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.