Skills
98,873 packaged capabilities and playbooks for agents. Install any of them with one command.
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Kubernetes operational knowledge for accessing clusters, running kubectl, understanding Flux status, and navigating the homelab Kubernetes environment. Use when: (1) Accessing a cluster or checking connectivity, (2) Running kubectl commands or checking resource status, (3) Checking Flux reconciliation status or triggering reconciliation, (4) Finding internal service URLs, (5) Understanding cluster layout or resource types, (6) Researching unfamiliar Helm charts or services. Triggers: "kubectl", "kubeconfig", "flux get", "flux reconcile", "flux status", "cluster access", "internal URL", "service URL", "prometheus URL", "grafana URL", "helm release status", "check flux", "which cluster", "how to access", "port-forward".
Deploy containerized applications (especially Rails) to VPS using Kamal 2. Covers deploy.yml configuration, accessories (PostgreSQL, Redis, Sidekiq), SSL/TLS, secrets management, CI/CD with GitHub Actions, database backups, server hardening, debugging, and scaling. Use when setting up Kamal, configuring deployments, troubleshooting deploy issues, or managing production infrastructure with Kamal.
Write, update, or review a project's CHANGELOG.md following the Keep a Changelog 1.1.0 convention, with version numbers set by Semantic Versioning. Use this whenever you add a changelog entry, log a change, turn commits or a freeform list of changes into a changelog, decide whether a release is major/minor/patch, mark a release as yanked, or audit an existing CHANGELOG.md for spec compliance. Trigger on phrasings like "log this change", "what changed this release", "bump the version", or a pasted commit list — don't wait for the word "changelog". Cutting a release here means editing CHANGELOG.md (and proposing a version bump) — not creating git tags or GitHub releases unless the user explicitly asks.
Execute prompts as the Kimi seat through the Pi CLI on OpenRouter, with Moonshot's flagship Kimi K3 model pinned per invocation (moonshotai/kimi-k3) — strong long-horizon coding, large-codebase understanding, 1M-token context, always-on thinking. Use when users explicitly request Kimi execution, when a workflow needs a Kimi-backed seat, or when a cross-runner workflow wants a Moonshot Kimi perspective without leaving the current workspace.
Convert the knowledge system provided by the user into a visual knowledge map, including hierarchy diagrams, knowledge-point relationship diagrams, and relationship analysis. Use when the user needs to organise a subject system, a tech stack structure, concept relationships, or a learning path. For example, "help me organise a knowledge map for front-end development", "generate a Python learning roadmap", "analyse the relationships between chapters of data structures".
Track what key opinion leaders (KOLs) in your space are posting on LinkedIn and Twitter/X. Surfaces trending narratives, high-engagement topics, and early signals of emerging conversations before they peak. Chains linkedin-profile-post-scraper and twitter-mention-tracker. Use when a marketing team wants to ride trends rather than create them from scratch, or when a founder wants to know which topics are resonating with their audience.
Use when writing, reviewing, debugging, or documenting LanceDB pipelines in Python or TypeScript, especially code that should work across local LanceDB OSS tables and remote LanceDB Enterprise/Cloud tables. Helps avoid non-portable full-table materialization, choose idiomatic query/search patterns, apply LanceDB performance defaults for ingestion, indexing, filtering, and diagnostics, and resolve connections to the remote server for Enterprise-only operations such as jobs.
Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG applications. Best for rapid prototyping and production deployments.
Creates code-based evaluators for LangSmith-traced agents. Use when building custom evaluation logic, testing tool usage patterns, or scoring agent outputs programmatically. Triggers on requests to evaluate agents, create evaluators, or run experiments against LangSmith datasets.
Create and critique launch narratives for products, features, SaaS, apps, games, developer tools, marketplaces, pricing changes, public repositories, and campaigns. Use when shaping launch positioning, audience, category, story arc, proof, demo, objections, announcement copy, changelog, founder note, launch post, press angle, community post, or go-to-market message.
Manage B2B leads, enrichment, AI scoring, and sales automation via the LeadGenius Pro platform. Use when the user asks to find leads, enrich contacts, score prospects, manage campaigns, import CSV leads, provision users, run FSD pipelines, check EpsimoAI credits, manage territory companies, or interact with the LeadGenius API. Also use when the user mentions "lgp", "LeadGenius", "lead enrichment", "lead scoring", "ICP", "FSD pipeline", "territory companies", or "EpsimoAI".
Build, review, debug, migrate, or plan Legend-State v3 applications with current docs. Use for @legendapp/state v3 beta (3.0.0-beta.48), observable, useValue, observer, Memo, $React, useObservable, computed or linked observables, observe, when, batch, fine-grained React rendering, React Native, local persistence, syncObservable, synced, syncedCrud, syncedFetch, syncedQuery, Supabase, Firebase, Keel, offline-first sync, transforms, syncState, testing, performance, and v2-to-v3 migrations.
Cross-repo life and project planning. Use when user wants to plan their week, prioritize projects, review progress across all areas, or make decisions about what to focus on. Triggers on "plan my week", "what should I work on", "prioritize", "weekly review", "life planning".
LinkedIn post writing with hook formulas, formatting rules, and engagement patterns. Covers post types, algorithm signals, character limits, and content pillars. Use for: LinkedIn posts, professional content, thought leadership, B2B content, personal branding. Triggers: linkedin post, linkedin content, linkedin writing, linkedin strategy, linkedin engagement, linkedin algorithm, linkedin hook, linkedin formatting, thought leadership, professional content, b2b content, linkedin growth
Produce a LinkedIn-native 1:1 (or 16:9) launch video using HyperFrames. Caption-first, sound-off, B2B register, anti-corporate-jargon. Optionally hand off to LinkedIn Ads to launch as a sponsored content campaign with ICP-aligned targeting.
Explain anything — turn ideas into podcasts, explainer videos, or voice narration. Use when the user wants to "make a podcast", "create an explainer video", "read this aloud", "generate an image", or share knowledge in audio/visual form. Supports: topic descriptions, YouTube links, article URLs, plain text, and image prompts.
Meta's 7-8B specialized moderation model for LLM input/output filtering. 6 safety categories - violence/hate, sexual content, weapons, substances, self-harm, criminal planning. 94-95% accuracy. Deploy with vLLM, HuggingFace, Sagemaker. Integrates with NeMo Guardrails.
SOP for agent-maintained personal knowledge base: ingest, query, lint, graph, update, and delete knowledge assets. Triggers on: wiki commands (/wiki-ingest, /wiki-query, /wiki-synthesize, /wiki-lint, /wiki-graph, /wiki-sources, /wiki-update, /wiki-delete, /wiki-ontology-*) or natural language intents: "ingest this", "search/query wiki", "lint health check", "rebuild graph", "manage ontology".
Audit project documentation quality across 8 categories (Hierarchy, SSOT, Compactness, Requirements, Actuality, Legacy, Stack Adaptation, Semantic Content). Delegates to ln-601 for deep semantic verification of project documents. Use when documentation needs quality review, after major doc updates, or as part of ln-100-documents-pipeline. Outputs Compliance Score X/10 per category + Findings + Recommended Actions.
When the user wants to optimize load building, create efficient truck loads, or maximize trailer utilization. Also use when the user mentions "load planning," "truck loading," "cargo optimization," "shipment consolidation," "cube utilization," or "weight distribution." For pallet loading, see pallet-loading. For container loading, see container-loading-optimization.
Use when the user asks to build a project end-to-end, run autonomous multi-hour or multi-day development, or orchestrate multi-milestone work without human intervention. Trigger phrases include "build this whole project", "implement this end-to-end", "do this autonomously", "run a long task", "long-running agent", "build it from scratch and don't ask", "/long-task", or "$long-task". Also use for lifecycle subcommands such as `/long-task status`, `/long-task pause`, `/long-task resume`, `/long-task clear`, and `/long-task complete`.
When the user wants to optimize production or order lot sizes over multiple periods, solve multi-period inventory planning problems, or determine when and how much to order/produce with time-varying demand. Also use when the user mentions "lot sizing," "lot-for-lot," "fixed order quantity," "POQ" (periodic order quantity), "part-period balancing," "Silver-Meal heuristic," "Wagner-Whitin algorithm," "least unit cost," "lot sizing with capacity constraints," or "multi-item lot sizing." For single-period problems, see newsvendor-problem. For time-varying lot sizing, see dynamic-lot-sizing.
Professional query tool for the Chinese lunar calendar. Core capabilities: - Gregorian to lunar conversion (sexagenary cycle year, zodiac, leap month flag) - Lunar to Gregorian conversion (accurate conversion supporting leap months) - Almanac suitability queries (marriage, groundbreaking, market opening, etc.) - Solar term queries (24 solar terms accurate to the second) Trigger scenarios: forcibly activated when the user asks about "lunar calendar", "almanac", "suitability", "lunar calendar", "BaZi basics", "Spring Festival date", "leap month", or needs to handle traditional Chinese calendar calculations. Output: structured date information + suitability table + solar term markers.
An A-share stock picking and trading plan skill based on "moving averages set the direction, MACD sets the rhythm". Use when the user asks to combine moving averages with MACD for stock picking, screening, pre-market candidate pools, trend following, pullback re-entry, golden cross confirmation, reducing positions on a bearish divergence, or wants to turn technical judgment into executable rules and risk-control templates.
Create or modify GitHub Actions workflows for CI, automation, or PR management. Use when asked to create, scaffold, add, extend, or fix a workflow (.yml file under .github/workflows/), including existing pull-request policy and comment automation.
Use when managing BK-CI pipeline builds via MCP, such as querying build history, getting launch parameters, viewing build status, and triggering builds after confirmation. Prefer this when the user wants to operate existing pipelines rather than modify code.
Manifold is a prediction market platform where users trade on the outcomes of real-world events using play-money (mana) and prize-cash. Use this skill to interact with the Manifold API for market discovery, trading, market creation, portfolio management, WebSocket streaming, and comments.
Given a product description, category keywords, or competitor names (any combination), searches Reddit, Hacker News, GitHub Issues, G2, and Google Trends for the real pains your market experiences, then synthesizes everything into a positioning framework showing who your ICP is, what they say out loud, and exactly how to talk to them. Use when asked to understand a market, find ICP pain points, map competitors, build a positioning doc, find messaging angles, or answer who is my customer and what do they actually care about. Trigger when a user says map my market, who is my ICP, what pains does my market have, understand my market, find my target customer, what are the top complaints in X space, help me position my product, or who should I be selling to.
Use when a user wants to convert any markdown file in their Claude project into a single-file, lightly-interactive HTML — long-form documents (specs, plans, RFCs, reports, explainers), code reviews with diffs and severity-tagged annotations, or slide decks. Triggers on "convert this markdown to HTML", "make this an HTML file", "turn this into an interactive document", "render this report as HTML", "PR writeup as HTML", "slides from this markdown". Forks context to route to one of three converter sub-skills (md-document, md-review, md-slides) based on a deterministic doctype classifier, after the user has run the design-system onboarding once. Refuses if input is under 100 lines (per Shihipar — markdown still wins below the threshold) or design-system isn't onboarded. Distinct from Anthropic's official Playground plugin (which is interactive prompt-tuning controls with sliders/knobs/prompt-copy-back) and from marketing/landing/ (which is a landing-page generator).
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.