Skills
98,067 packaged capabilities and playbooks for agents. Install any of them with one command.
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Preliminary screening of invention disclosures — novelty, inventiveness, patentable subject matter, public disclosure date, detectability, and strategic value. Use when an invention disclosure is received and you need to decide whether it is worth a prior art search and patent attorney review, further investigation, or rejection.
Research competitor apps on the Apple App Store. Extracts app metadata (title, subtitle, description, rating, reviews, category, developer, version, price) and downloads all screenshots. Use when user wants to analyze a competitor's app, research app store listings, gather competitive intelligence, or download app screenshots. Triggers on App Store URLs (apps.apple.com) or requests like "research this app", "analyze competitor", "get app store info", "download app screenshots".
Use iox for port forwarding and internal network tunneling. Use when you need to forward internal ports to the external network, establish a SOCKS5 tunnel, or relay traffic. iox is a single-binary, zero-dependency port forwarding/proxy tool supporting forward proxies, reverse proxies, port mapping and SOCKS5 proxies, and is particularly suited to building traffic tunnels in internal network penetration. It is lighter than frp/nps and more feature-complete than socat. Use this skill in scenarios involving port forwarding, internal network tunneling, SOCKS5 proxies, traffic relaying or tunnel building
Run an ISO 27001 internal audit. Walk through controls by domain, identify gaps, collect evidence, and generate findings with corrective action recommendations. Uses NIST SP 800-53 (public domain) as canonical reference. Use when user says "run internal audit," "ISO 27001 audit," "control assessment," "audit findings," or "ISMS assessment."
Use this skill whenever the user is writing, debugging, or configuring tests in an AdonisJS application with Japa. Trigger for any testing task: writing API tests, browser tests (Playwright), console/command tests, database state setup, test doubles (fakes, swaps, time), factory usage, or any question about the testing layer. Also trigger for "write a test", "how to test", "fake the mailer", "loginAs", "truncate database", "withGlobalTransaction", "emitter.fake", "hash.fake", "drive.fake", "swap container", "freeze time", "timeTravel", "useFake", "raw mode", "record mode", or any Japa-specific concept. For AdonisJS backend patterns used inside tests (models, factories, auth) use the adonisjs skill alongside this one.
JavaScript/TypeScript SDK for inference.sh - run AI apps, build agents, integrate with all models. Package: @inferencesh/sdk (npm install). Full TypeScript support, streaming, file uploads. Build agents with template or ad-hoc patterns, tool builder API, skills, human approval. Use for: JavaScript integration, TypeScript, Node.js, React, Next.js, frontend apps. Triggers: javascript sdk, typescript sdk, npm install, node.js api, js client, react ai, next.js ai, frontend sdk, @inferencesh/sdk, typescript agent, browser sdk, js integration
ABC Jenkins project release skill. Supports intelligent parameter inference and interactively triggering Jenkins builds, automatically fetching Git branch and tag information. Trigger this skill when the user requests "release Jenkins", "trigger build", "deploy project", "Jenkins release", or similar operations. Requires the environment variables JENKINS_USER and JENKINS_TOKEN.
Jujutsu (jj) is a powerful Git-compatible version control system with innovative features like automatic rebasing, working-copy-as-a-commit, operation log with undo, and first-class conflict tracking. This skill is triggered when the user says things like "use jj", "run jj commands", "jujutsu version control", "migrate from git to jj", "jj rebase", "jj squash", "jj log", or "help with jj workflow".
TRIGGER THIS when crafting job descriptions, posting new roles, defining position requirements, creating hiring briefs, updating JDs, or structuring role expectations. Creates compelling, inclusive, DEI-focused job descriptions with clear requirements, responsibilities, qualifications, salary transparency, and modern hiring language.
Jobs To Be Done (JTBD) analysis using Christensen and Ulwick's Outcome-Driven Innovation. Use when: jobs to be done, JTBD, customer jobs, outcome driven innovation, ODI, forces of progress, job map, switch interview, hiring firing, outcome statements, why customers switch.
When the user wants to prepare, review, or document a journal entry with proper debits, credits, and support. Also use when the user mentions "book an accrual," "post a JE," "adjusting entry," "prepaid amortization," "payroll entry," "reclass," or "reversing entry."
Jupyter Notebook Expert Skill - Guide for notebook execution and Databricks kernel integration Use when: - Executing Jupyter notebooks via CLI (jupyter execute) - Running notebooks with Databricks kernel - Configuring notebook execution options (timeout, inplace)
Bypassing Istio Service Mesh security policies. Use when the target K8s cluster uses Istio, when requests are rejected by an AuthorizationPolicy (403 RBAC denied), or when an Envoy sidecar is found. Core technique: UID 1337 bypasses Envoy. Use this skill for any scenario in K8s involving Istio policy blocks, Service Mesh restrictions, or Envoy-related security controls
Answer from the knowledge bundle. Use when the user asks what they/the project know about something, wants to look something up, explore connections, or compare things that live in a knowledge/ bundle — and when any task would be informed by an existing bundle, consult it here before answering from scratch. Navigates by progressive disclosure and files valuable answers back so the bundle compounds.
Session-discipline skill for finishing work, built on top of the beans CLI. One active epic per session, draft-first triage, ~10-minute subtasks delegated to subagents, tests + Proof of Work before any bean closes. Use when you are taking on a goal that spans multiple beans, when an epic risks drifting across sessions, when subagents need a delegatable tree to work against, or when you want completion to be provable rather than confident. Keywords: finish, completion discipline, epic task subtask, draft triage, proof of work, beans loop, session goal, agenda, ledger
Reads yesterday's Linear issues and GitHub commits for the authenticated user, formats a standup update (done / doing / blockers), and posts it to Slack. Use when asked to write a standup, generate a standup update, post to the standup channel, summarize yesterday's work, or automate the daily standup. Trigger when a user says "write my standup", "post standup", "generate standup update", "what did I do yesterday", or "kill the standup".
Receive and verify Klaviyo webhooks. Use when setting up Klaviyo webhook handlers, debugging Klaviyo-Signature verification, or handling Klaviyo system webhook events like event:klaviyo.opened_email, event:klaviyo.clicked_email, event:klaviyo.received_sms, or event:klaviyo.unsubscribed_from_email_marketing.
Turn one topic into a knowledge explainer video that is easy to follow, good to look at and makes people want to watch to the end (on-screen text over music, the kind that took off under Douyin's #Vibe知识大赏), rendered with HyperFrames. Gives a path that works (research → copy → images → look and storyboard → render) and small tools for music editing, beat timing, sound effects and self-checks; the design is yours to make for each topic. Use it whenever someone wants a knowledge, science, history or how-it-works video — 'make a video explaining X', 'turn the history of X into a short video', 'explainer video', '做一条知识视频', '科普视频', 'Vibe知识大赏' — even if they don't name this skill. For a single short animation or just a new look, use code-video instead
Complete guide for using the KorUI library (@korsolutions/ui) in React Native and Expo applications. Use this skill when building user interfaces with KorUI, customizing themes, setting up the library, working with any of the 27+ components (Button, IconButton, Input, Select, Checkbox, RadioGroup, Alert, Card, Separator, Tabs, Menu, Popover, Calendar, Toast, etc.), styling and theming, implementing compound components, debugging component issues, or when the user mentions "@korsolutions/ui", "KorUI", "UIProvider", or asks about theme customization or React Native UI components. This skill covers installation, provider setup, component usage patterns, theme customization, variant system, hooks, responsive design, and troubleshooting.
Refactor Kotlin code toward clearer, more idiomatic design without breaking Spring behavior, serialization, persistence, or public contracts. Use when Java-flavored Kotlin needs cleanup, domain modeling should become more expressive, or boilerplate should be reduced, but the refactoring must remain safe for proxies, Jackson, JPA, configuration binding, and existing tests
Use when authoring or modifying Kubebuilder Go API types and +kubebuilder markers so generation (`make generate`/`make manifests`) emits the intended CRD schema (validation/defaults, required/optional, list semantics, printer columns, subresources), or when asked which marker/type to use.
Smart Label Capture (Scandit `LabelCapture`) in Flutter projects — extracting multiple fields (price, expiry date, serial or lot number, weight) from a label in one scan, using barcode fields plus text fields with regex patterns. Use for integration, label-definition configuration, captured-label handling, the Validation Flow, and SDK version migration.
This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies
First-principles, team-of-experts assessment of a software project that surfaces latent potential; underexploited assets, a sharper north star, missing high-leverage capabilities, better framing and messaging. Produces a prioritized, evidence-grounded report with cheap probes, a reframe candidate, a stop-doing list, and an honest skeptic's case. Use whenever the user wants fresh eyes on a project they have built: "what am I sitting on", "what could this become", "is there a bigger play here", "how do I make this valuable or impactful", "assess this project", "strategic review", "where should this go next", "is this worth pursuing", "what's the potential here", or when they point at a repo and ask what to do with it, even if they never say "assessment" or "potential". Not for routine code review, debugging, or performance audits.
Use when selecting, replacing, pinning, or auditing an Arduino, ESP32, RP2040, C++, or vendor-framework library. Compare architecture support, framework and version compatibility, API behavior, footprint, maintenance, provenance, security, and hardware assumptions before installation.
Write and audit LinkedIn comments and reply strategies that add professional value, start useful discussion, and increase ethical visibility. Use when drafting comments on LinkedIn posts, replying to comments, improving comment prompts, or planning comment-based engagement without spam.
Generate and prioritize LinkedIn content ideas from audience problems, industry news, questions, hashtags, competitor posts, source material, and growth experiments. Use when planning LinkedIn post topics, content calendars, thought-leadership angles, post series, or idea backlogs.
Parse, search, analyze, and ingest LinkedIn GDPR data exports into structured JSON or RLAMA for semantic search. Covers messages, connections, profile data, and Markdown export. Requires a LinkedIn GDPR ZIP file. Triggers on 'LinkedIn data', 'search messages', 'analyze connections', 'LinkedIn export', 'GDPR download'.
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.