Skills
100,696 packaged capabilities and playbooks for agents. Install any of them with one command.
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Manage local Claude Code agents from Basecamp. Runs the connector bridge (bin/connect), watches its STDOUT for trusted events — authored by an authorized user (the operator alone, by default) and @mentioning a real Basecamp agent user — acknowledges each as the agent within seconds (a quick boost with apt content, or a reply that fits), then hands it off to a background agent that gathers context, does the work, and replies as that agent user, so the watcher thread stays free to keep taking new mentions. Invoked without arguments it recalls the last-used agent and projects from ~/.config/basecamp-connect/last.json, confirming them before starting. Use when asked to drive local agents from Basecamp, or to watch Basecamp for agent commands.
Gather scattered ideas into organized GitHub issues. The bee collects pollen from every flower, checks if the hive already has it, and carefully deposits new work in the comb for later. Never edits code—only organizes the work ahead. Use when creating issues from TODOs or planning work.
Keeps every reply to the user to three lines or fewer, with no preamble, restated question, recap, or closing offer. Use when the user says "be brief", or when about to reply to the user: load it before every reply in every session, including plain questions, recommendations, and comparisons, even when no other skill applies.
Given a research proposal, claim, method, or result, recommend the baselines and benchmarks needed to support it — split into a MINIMAL set (necessary for credibility, skipping any risks rejection) and a SUGGESTED set (complementary, strengthens external validity). Use whenever the user proposes something and asks "what should I compare against", "what baselines do I need", "which benchmarks support this claim", "is this enough to be convincing", "what's the minimal experiment set", "what would a reviewer demand", or shares a method/idea and wants the comparison plan. Default to running this on any proposal so claims are backed by the right evidence. Always check first whether the input is sufficient (precise claim, field, the novel component, metric); if not, request the missing context before recommending rather than guessing. Use experiment-design to design the run itself (or to design a measurement when no benchmark exists), and hypothesis-and-ablation-planner for internal ablations.
Design and protect browser-facing BFF and backend HTTP entry points: an explicit public/protected access classification for every production route, a composition-prepared endpoint registrar that installs session, Origin, Fetch Metadata, CSRF, and content-type policy by construction, provider-free authorization inside the application, protected SSE and WebSocket registration, browser session coordination, and automated enforcement gates. Use when adding or reviewing HTTP endpoints, when a tenant or customer can see another's data through a route or any authorization bug is reported on an endpoint, authentication middleware, session cookies, CSRF or Origin policy, realtime streams, login/logout flows, or auditing which routes are public. For whether to adopt a BFF, granularity, aggregation, and upstream identity mediation use bff-design; for physical BFF route layout use structure-codebase; for REST semantics, pagination, and versioning use api-design; for OAuth/OIDC protocol flows use secure-oauth-oidc; for ports-and-adapters implementation use hexagonal-architecture.
Format tender/bidding document covers from Markdown to HTML-styled Markdown. Use when converting Chinese document covers (招标文件/投标文件/报价文件/商务文件/技术文件/技术协议/采购文件) to formatted output with Chinese fonts (黑体/宋体), pt-based spacing, center alignment, and proper layout for A4 printing.
Use when implementing data analysis pipelines, statistical tests, or bioinformatics workflows in code (Python/R), particularly for genomics, transcriptomics, proteomics, or other -omics data. NOT for non-omics Python implementation (use senior-developer), pure statistical method selection without bioinformatics context (use statistician), or biological-validity questions about an existing analysis (use biologist-commentator).
Plan and synthesize pre-draft reader conversations for useful nonfiction books, including listening interviews, teaching calls, reader-language capture, promise validation, scope refinement, and TOC testing. Use when validating a practical book idea, finding target readers, preparing interview prompts, testing a table of contents, or turning reader conversations into book decisions.
The domain expert's product manager in a project repository run by the Boring Factory. Use when the expert brings a need or an idea, wants to clarify, change or resume a feature ("reprends la fiche"), asks what is happening with a feature, has a builder's question to answer, or has a preview to try and accept. Interviews one question at a time, writes the contract and mockups on the contract pull request, and submits the expert's approval only after the expert confirms. Never writes code, except a tiny one-shot change as a draft pull request, and never merges.
Build a complete brand identity for a solopreneur business from scratch or refresh an existing one. Covers brand personality, voice and tone, visual identity system (colors, typography, logo direction, imagery style), tagline crafting, and a brand guidelines document. Use when creating a new brand, rebranding, or needing to make brand decisions consistent. Trigger on "create my brand", "brand identity", "brand guidelines", "define my brand voice", "brand personality", "what should my brand look like", "brand strategy", "rebrand", "brand tone".
Take a brand from seeded stubs to a real brand foundation inside a second-brain vault: the seven pillars in `<Brand>-Brand-Assets/Brand-Strategy/` carried off `status: empty` one lock at a time, with the 6Cs research and the founder's own convictions filed as dated evidence underneath them. Use when the owner starts or resumes the brand intake ("run the brand intake", "my brand rooms are empty", or a brand pillar stub sends them here), asks to work one pillar by name (positioning, DNA, personality, proposition, relationship, sensory cues, or the style pillar), or asks for the decode research on its own ("6Cs", "founder backbone"). NOT for writing marketing copy or a campaign, and NOT for changing the vault's law (that is breakthrough-vault-guardian).
Use this skill when the user asks the agent to open, browse, inspect, extract content from, click through, fill forms on, screenshot, or verify a web page with a browser. Also use it for MoviePilot scenarios that need browser interaction, such as checking a site page, confirming a JavaScript-rendered result, testing login state, capturing visible errors, or updating and validating tracker site cookies.
AI-driven advisor for C: drive space diagnosis and safe cleanup. Locates why space grows and why cleanup is ineffective through NTFS actual-allocated-space measurement, parent-child directory deduplication, app-level growth and post-cleanup regeneration tracking, vendor-managed caches/toolchains, Windows update leftovers, and an inventory of rarely used software and scattered space. Use this skill when the user asks about insufficient C: drive space, cleanup that doesn't work, free space not increasing, caches regenerating, finding rarely used software / large files / hidden usage, migrating data, or reviewing cleanup results.
Start here for first-time CARTO use. Orients on the two parallel access paths into the CARTO platform — the MCP server (the primary path for inline, in-conversation work in chat hosts, including creating and editing maps and Workflows) and the CLI (for scripting, CI/CD, headless and bulk/cross-org work, and deeper administration and auditing such as usage-log queries) — and which skills cover each. Also covers CLI install, authentication, profiles, JSON output, and async job patterns.
Chanjing AI creation Open API client: submit image/video tasks, poll task status, list and get tasks, and optionally download outputs when the user runs download_result.py. Reads and writes local credentials.json; calls open-api.chanjing.cc.
Explains what a member or a role can do in a PostHog project, using the access control MCP tools. Use when the user asks what someone can see or edit, who can edit dashboards or feature flags, why a member can or cannot open a dashboard, notebook or table, what a role grants, which properties are hidden from someone, or how the project's default access is set. Covers what each level means, how the stored rule, the enforced level and the inherited access relate, what the null values mean, which tool answers which question, and when the answer needs the role tools too.
This skill transforms users into confident industry insiders through immersive, research-driven learning experiences. It should be used when users want to quickly master an unfamiliar industry, field, skill, or domain — whether for professional networking, investment decisions, career transitions, or pure curiosity. The skill combines Feynman Technique, First Principles thinking, and 80/20 analysis with deep web research to generate beautifully formatted, media-rich learning notes with interactive flashcards and quizzes. Triggers include: "help me understand [industry]", "I need to learn about [field] quickly", "make me an insider in [domain]", "行业速成", "快速掌握", "深度学习笔记", "/chuinb", "/master", or any request to rapidly acquire domain expertise.
Use when the user shares, pastes, or references an image (local path or URL) and you need to describe, analyze, or recognize its content, especially when the current model cannot read images directly. Run the bundled vision.js helper to convert the image into text.
CLI + Backend integration testing workflow. Use when verifying backend API changes (TRPC routers, services, models) via the LobeHub CLI against a local dev server. Triggers on 'cli test', 'test with cli', 'verify with cli', 'local cli test', 'backend test with cli', or when needing to validate server-side changes end-to-end.
CASS Memory System - procedural memory for AI coding agents. Three-layer cognitive architecture with confidence decay, anti-pattern learning, cross-agent knowledge transfer, trauma guard safety system. Bun/TypeScript CLI.
Customize a user's cmux configuration, including tab bar buttons, plus-button click and right-click context menu behavior, custom actions, commands, menus, right sidebar entries, and trigger phrases like cmux-customize, customize cmux, remove tab bar button, or add cmux action.
[Hyper] Convert colors between hex, rgb, and oklch using @kood/color-cli. Use when the user asks to convert colors, transform CSS file colors, or needs accurate oklch values. Trigger phrases — "color convert", "hex to oklch", "oklch to hex", "rgb to oklch", "CSS color conversion", "color conversion", "tell me the oklch value".
Same-epoch comparison of training runs across wandb, neptune, tensorboard, or mlflow. Aligns runs at the student's current step (never current-vs-final-of-baseline) and separates proxy metrics from downstream targets. Use when the user asks to compare runs, check if a run is improving, track lag against a baseline, rank experiments, or evaluate run-vs-run performance.
Existing-code comprehension and local winnowing preflight. Use for simplify/refactor/clean up/untangle, nested branches, boolean soup, opaque names, mixed responsibilities, cross-file state, or review stalls. Factor the local whole, separate essential/incidental/specification-risk factors, winnow dominated or duplicated factors, and emit the smallest clarity cut. Not for broad architectural layer removal, kernel quotienting, invariant remediation, or greenfield planning.
Container image security scanning, Dockerfile hardening, and ACR image management. Use when scanning container images for vulnerabilities with Trivy, hardening Dockerfiles (pinning versions, non-root runtime, SSH config), importing images to Azure Container Registry to avoid Docker Hub rate limits, or analyzing CVE findings. Also trigger when the user mentions image security, vulnerability scanning, CVE remediation, container hardening, Trivy scan, Docker security, or ACR image import — even if they don't explicitly say "container security".
Capture reusable knowledge and create new skills automatically during coding sessions, problem solving, and retrospectives. Use when finishing a complex task, running a retrospective, discovering a reusable pattern, or when user says "save this as a skill", "capture this solution", "run a retrospective", or "what did we learn from this".
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.