Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
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Use when driving a Jenkins server's REST (Remote Access) API directly with curl (no SDK) — triggering a build, polling the queue item to a build, reading build status + console log, listing/inspecting jobs, job CRUD (createItem/copy/delete/enable/disable via config.xml), and build management (stop/delete). Jenkins is path-addressed REST authenticated with HTTP Basic username:API_TOKEN. A build trigger is ASYNC — it returns a queue item, not a build, so you poll queue/item/<id>/api/json to the executable. API-token auth is exempt from the CSRF crumb (Jenkins 2.96/2.107+); a crumb is only a 403 fallback. No official Jenkins OpenAPI exists, so the CORE path table is grounded on the official Remote Access docs (the bundled swaggy-jenkins spec is an unofficial cross-check). Consumes caller-injected credentials (base_url + username + a token resolved by variable name) — it does not provision or resolve them; the token value is read only by curl, never printed.
Information lookup and online queue-number booking for Jinguyuan Dumpling Restaurant. Query store, queue, and menu information via the official Jinguyuan API; built-in real queue actions are used only for online number booking, checking your own queue progress, and canceling a queue spot.
Enterprise data query, filtering, and relationship analysis. Covers business registration information, shareholder equity, outbound investment, operational developments, operational and judicial risks, intellectual property, bidding and tenders, and news and public sentiment, supporting one-stop queries and insights. Supports filtering companies and bulk company discovery by region, industry, founding date, industry chain, company size, qualifications and honors, and bidding records, for customer prospecting, opportunity discovery, and target customer targeting. Supports identifying corporate equity structures and relationships (equity relationships, control relationships, affiliated companies, ultimate beneficial owners). Suitable for company information queries, filtering and analysis, risk assessment, data statistics, company comparison, and relationship judgment. Entering a company short name automatically fuzzy-matches the full name. Requires KUAICHA_API_KEY.
Build multi-agent AI systems with LangGraph — the low-level orchestration framework for stateful, graph-based agent workflows. Covers supervisor, swarm, and hierarchical multi-agent patterns; subgraph composition; state management (checkpointers/stores); persistence; evals; and production debugging. Reach for this when designing agent architectures that need cycles, conditional branching, parallel execution, or human-in-the-loop patterns. Do not use this skill for unrelated requests; route to the nearest named specialist.
Comprehensive case analysis. Use this skill when the user needs to synthesize cases, consultations, contracts, evidence, trial transcripts, or research materials; assess claims and defenses; organize legal research; evaluate risks; and develop litigation or non-litigation strategies. This includes preliminary assessment of complaint evidence, trial retrospectives, and comprehensive analysis for appeals or retrials. Use judgment-analysis for interpreting a single judgment; route pure research or drafting existing conclusions into prose to the research or document skill, respectively.
Build evidence-traceable market research reports and assumption-driven market sizing or forecast scenarios. Use for market definition, industry and customer evidence, competitive landscapes, TAM/SAM/SOM reconciliation, forecast sensitivity, and auditable report scaffolds.
Use when exposing Spring Boot 3 application capabilities through Model Context Protocol tools, resources, or prompts. Covers Spring AI 1.x tool callback registration, transports, schemas, errors, security, and standalone MCP Java SDK compatibility.
Creates custom subagents for Claude Code with YAML frontmatter configuration in Markdown files. Covers agent scoping (project, user, CLI, plugin), tool access control, model selection, permission modes, skill preloading, and lifecycle hooks. Use when building specialized subagents, configuring tool access, selecting models, setting permission modes, or designing delegation patterns. Use for agent creation, subagent configuration, custom agent setup.
Answer questions about Module Federation (MF) — configuration, runtime API, build plugins (Webpack/Rspack/Rsbuild/Vite), framework integration (React/Vue/Next.js/Modern.js/Angular), shared dependencies, exposes, remotes, debugging, troubleshooting, and micro-frontend architecture. Use this skill when the user asks anything about module federation, remote modules, shared deps, mf-manifest, federation runtime, or micro-frontends with MF.
Use when building, debugging, porting, or inspecting Minecraft Java Edition mods for Fabric, NeoForge, or Architectury, including Mixins, access wideners, access transformers, mappings, registry/resource issues, NBT payloads, mod JAR inspection, remapping, version migration, dependency API source lookup, GameTest wiring, client screens, HUD rendering, or runtime logs. Also use as a side reference when another planning, execution, or review skill is active and the work depends on Minecraft API facts.
Open, create, read, analyze, edit, or validate Excel/spreadsheet files (.xlsx, .xlsm, .csv, .tsv). Use when the user asks to create, build, modify, analyze, read, validate, or format any Excel spreadsheet, financial model, pivot table, or tabular data file. Covers: creating new xlsx from scratch, reading and analyzing existing files, editing existing xlsx with zero format loss, formula recalculation and validation, and applying professional financial formatting standards. Triggers on 'spreadsheet', 'Excel', '.xlsx', '.csv', 'pivot table', 'financial model', 'formula', or any request to produce tabular data in Excel format.
Helps users configure mirrord.json for database branching, enabling isolated database copies for safe development and testing. Use when the user wants to set up MySQL, MariaDB, PostgreSQL, MSSQL, MongoDB, Redis, DynamoDB, ClickHouse, Google Spanner, Amazon S3, turbopuffer, or generic branches, configure copy modes, connection sources, schema migrations, IAM authentication, or manage database branches.
Cost-optimize AI agent operations by routing tasks to appropriate models based on complexity. Use this skill when: (1) deciding which model to use for a task, (2) spawning sub-agents, (3) considering cost efficiency, (4) the current model feels like overkill for the task. Triggers: "model routing", "cost optimization", "which model", "too expensive", "spawn agent".
Reviews AI/ML model supply chains for security risks including model provenance verification, training data lineage, fine-tuning pipeline integrity, inference dependency review, and backdoor detection. Auto-invoked when reviewing systems that download pre-trained models, fine-tune foundation models, or deploy models from third-party sources. Produces a structured assessment mapped to OWASP LLM03:2025, SLSA v1.0 supply chain levels, and MITRE ATLAS poisoning and supply chain techniques.
Expand a problem's explanations, options, and cross-domain analogies. Use when the user wants to think from multiple angles, break out of existing solutions, compare decisions, or specifically use/learn a mental model. Use for alternative explanations, options, cross-domain analogies, or applying and learning a named mental model.
CommunityToolkit.Mvvm (the MVVM Toolkit) core: source generators ([ObservableProperty], [RelayCommand], [NotifyPropertyChangedFor], [NotifyCanExecuteChangedFor], [NotifyDataErrorInfo]), base classes (ObservableObject / ObservableValidator / ObservableRecipient), commands (RelayCommand / AsyncRelayCommand), and validation. Companion skills: mvvm-toolkit-messenger for pub/sub, mvvm-toolkit-di for Microsoft.Extensions.DependencyInjection wiring. Works across WPF, WinUI 3, MAUI, Uno, and Avalonia.
Generate and edit images using Google Gemini image models. Use this skill when the user asks to create, generate, make, or edit images with AI. Supports text-to-image, image editing, style transfer, and multi-image composition. Trigger on requests like "create an image", "generate a picture", "make me a logo", "edit this photo", "add X to this image".
NATS cloud-native messaging system. Covers Core NATS, JetStream persistence, and request/reply patterns. Use for lightweight, high-performance microservices communication. USE WHEN: user mentions "nats", "jetstream", "cloud-native messaging", "request/reply", "subject wildcards", asks about "lightweight messaging", "microservices communication", "nats streaming" DO NOT USE FOR: complex routing - use `rabbitmq`; AWS-native - use `sqs`; Azure-native - use `azure-service-bus`; JMS compliance - use `activemq`; persistent queues only - use dedicated broker
Use when asked to fix, build, refactor, review, verify, or release software and the work is non-trivial — including delivering a change request through planning, gates, implementation, review, verified PR, and authorized release; continuing work started elsewhere with no packet via evidence-based position assessment; or operating tracked work items in Linear, Jira, or Notion via their tooling skills. neckbeard routes the change through framing, discovery, design, implementation, review, verification, and learning — choosing the smallest *safe* intervention, proving it at the real delivery boundary, and leaving an inspectable evidence ledger. For issue-to-PR work, conditionally loads a 9-phase journey with gates and lifecycle integration. Composes specialist catalog skills rather than replacing them. Not a persona or LOC-minimizer. Do not use this skill for unrelated requests; route to the nearest named specialist.
Analyze the purpose and value orientation of legal norms, and how facts should enter normative evaluation, so as to judge the limits of subsumption; this must be appropriately distinguished from purposive interpretation of norms in legal interpretation.
nuqs reference (type-safe URL search params state management, React / Next.js). useQueryState, useQueryStates, parsers such as parseAsString / parseAsInteger / parseAsArrayOf, NuqsAdapter (Next.js / React Router / TanStack Router / Remix), createSerializer, createStandardSchemaV1, inferParserType, shallow routing, history control, SSR, URL length limits, and integration with Zod / Effect / Sury
Design, change, or review an HTTP/JSON API surface — endpoints, request/response shapes, authentication and authorization, pagination, idempotency, rate limits, versioning, and deprecations. Use when adding or modifying an HTTP endpoint, reviewing an OpenAPI spec or HTTP route diff, or deciding whether an HTTP API change breaks consumers. Do not use as a protocol-compatibility checklist for gRPC/protobuf, GraphQL, WebSockets, or other non-HTTP/JSON interfaces.
Integrate Open-Meteo Weather Forecast, Air Quality, and Geocoding APIs: query design, variable selection, timezone/timeformat/units, multi-location batching, and robust error handling. Use when fetching weather forecasts, air quality/pollen data, or geocoding place names to coordinates via Open-Meteo. Keywords: Open-Meteo, /v1/forecast, /v1/air-quality, geocoding-api, hourly, daily, current, timezone=auto, timeformat=unixtime, models, WMO weather_code, CAMS, GeoNames, httpx, FastAPI, pytest.
Think through ideas, investigate problems, and clarify requirements before committing to a change using `/opsx:explore`. Use when the user says "explore an idea", "think through this", "investigate options", or wants to brainstorm before creating a formal change.
Use this skill for multi-step, spec-driven, or acceptance-gated implementation work in a GitHub repository where specs live as GitHub Issues. Routes work through Plan, Build, and Verify phases, favors demonstrable user-facing vertical slices over waterfall epics, manages the roadmap through issue labels and sub-issues, and triages and grooms the backlog. Also handles migration from file-based specs to GitHub Issues.
Guidance for implementing high-performance portfolio optimization using Python C extensions. This skill applies when tasks require optimizing financial computations (matrix operations, covariance calculations, portfolio risk metrics) by implementing C extensions for Python. Use when performance speedup requirements exist (e.g., 1.2x or greater) and the task involves numerical computations on large datasets (thousands of assets).
Every Atlas Obscura search, plus a local database, road-trip corridor routing Trigger phrases: `weird places near me`, `atlas obscura`, `hidden gems along my route`, `offbeat things to do in`, `unusual places to visit`, `use atlas-obscura`, `run atlas-obscura`.
One-stop pipeline to a production-grade frontend with a MACHINE SENTINEL GATE: interview the theme source in a single message (A default macOS glassmorphism preset · B design-doc folder/file · C paste the target page URL), lock the parameters into a single design.md file (read by both hallmark and impeccable), then generate tokens.css + frontmatter with design-sync.py, build a token-only page per hallmark, run fe-gate.sh (impeccable detect 61 deterministic rules rc 0/1/2 + Playwright 4 viewports) and a rubric audit/harden/polish, and do NOT deliver until the gate is green. Trigger when the user says "frontend production", "production-grade frontend", "dựng FE chuẩn production", "giao diện kỷ luật", "prd-grade-fe", "/prd-grade-fe". Different from hallmark (design foundation, no impeccable gate) and from /br (BR→frame pipeline, does not handle the frontend layer separately).
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.