Skills
99,064 packaged capabilities and playbooks for agents. Install any of them with one command.
Development
Gatekeeping Git/PR by classifying change essence and recommending granularity, naming, and strategy; the `ship` recipe also executes PR delivery (create, CI watch, merge, cleanup) with Ask First on merge. Use when PR preparation, commit strategy, or gated PR delivery is needed.
P3 phase skill for Headless Ghidra metadata discovery. Use after P2, or after a P4 batch exposes missing context, to enrich function names, signatures, types, constants, strings, and hotpath metadata in YAML before serialized CLI apply.
Use this skill when the user asks to “create a hedera plugin,” “build a hedera agent kit plugin,” “extend hedera agent kit,” “create custom hedera tools,” “add hedera functionality,” “write a hedera tool,” or “implement hedera tool,” or needs guidance on Hedera Agent Kit plugin architecture, tool definitions, mutation tools, query tools, or parameter schemas using Zod.
Comprehensive guide for creating effective landing pages using Next.js or React. This skill should be used when users request to create landing pages, marketing pages, or product pages that require the 11 essential elements for high-converting landing pages. Specifically designed for Next.js 14+ App Router with ShadCN UI components.
This skill MUST be used when creating or improving conversion-oriented landing pages, LPs, hero sections, animated marketing pages, or 活動頁、 產品落地頁、轉換頁面. It SHOULD also be used when a page needs clearer value propositions and a primary action without naming a landing page. Visual direction follows design-studio; this skill handles conversion structure, animation, implementation, and delivery.
Append a structured entry to the project's session log (`docs/LOGS.md`): what was done this session, files touched, decisions taken, and the next step — so the next session (or another person) can pick up the thread without re-reading git history. Run it before `/clear`, before closing your agent session, or at any natural stopping point. Model-agnostic: the skill inherits whatever model and effort your agent session is already using. Triggers: "log this session", "log-session", "write a session log", "journal what we did", "record this session before I clear", "save the session summary".
Use when the user needs mobile app design and development patterns for React Native, Flutter, or SwiftUI — including platform HIG compliance, gestures, and offline-first architecture. Triggers: user says "mobile", "iOS", "Android", "React Native", "Flutter", "SwiftUI", "app design", "mobile navigation", "touch targets", "offline-first".
Provides guidance on using the next-devtools MCP server. Use when working with Next.js projects that have the MCP server configured, when the user encounters connection issues, or when needing help with error detection, route inspection, Server Action tracing, or Cache Components migration.
Configure OpenSpec project settings and global CLI configuration using `openspec/config.yaml` and `openspec config` commands. Use when the user says "configure OpenSpec", "project config", "add project context", or wants to set per-artifact rules.
Create the next artifact in the dependency chain with `/opsx:continue`, building up a change incrementally. Use when the user says "continue the change", "create next artifact", "/opsx:continue", or wants step-by-step artifact creation.
Fast-forward through artifact creation with `/opsx:ff`, generating all planning artifacts (proposal, specs, design, tasks) at once. Use when the user says "fast forward", "create all artifacts", "/opsx:ff", or has a clear picture of what to build.
Guided onboarding through the complete OpenSpec workflow using `/opsx:onboard`, walking the user through a real change in their codebase. Use when the user says "onboard me", "tutorial", "/opsx:onboard", "how does OpenSpec work", or is new to OpenSpec.
Create and manage custom workflow schemas using `openspec schema init/fork/validate/which`. Use when the user says "create a custom workflow", "custom schema", "fork a schema", or wants to define their own artifact types and dependencies.
Plan a codebase restructuring through read-only architecture mapping, DDD and Screaming Architecture analysis, reference quarantine, bounded review repair, and a persisted decision report. Use when a user wants an evidence-backed restructuring plan without implementing file moves or refactors.
Use when you are about to write or edit a comment in PL/SQL you are changing, or in a .sql deliverable headed for the database. One line, one fixed shape, and anything longer goes where it belongs instead. It fires on the act of commenting rather than on a request — catching yourself opening a second comment line above one statement is the trigger
Expert guide to FFmpeg from Python for video/audio processing, encoding, streaming, and media manipulation. PROACTIVELY activate for: (1) Python+FFmpeg via ffmpeg-python, PyAV, subprocess, moviepy; (2) encoding (H.264, H.265/HEVC, VP9/WebM, AV1); (3) hardware acceleration (NVIDIA NVENC, Intel QSV, AMD AMF, VAAPI); (4) audio extraction, conversion, filter chains; (5) video filters (scale, crop, rotate, text/image overlays, color); (6) trim/concat workflows; (7) HLS, DASH, RTMP streaming; (8) metadata probing (ffprobe, ffmpeg.probe); (9) thumbnails (single + sprite sheets); (10) frame-accurate PyAV; (11) bug debugging (audio loss after filters, subprocess deadlocks, Windows paths, -y prompts); (12) GIF, speed change, picture-in-picture, blur/quality detection. Provides: library selection, install steps, copy-pasteable encoding recipes, hardware-accel flag reference, error handling, subprocess best practices, performance tuning for production Python+FFmpeg pipelines.
Generate adaptive Python coding exercises for broad practical Python fluency: fundamentals, OOP, standard library, testing, CLIs, automation, backend services, FastAPI, Flask, AWS automation, data handling, and production scripting. Use whenever the user wants to practice Python, learn Python concepts, review Python code, debug Python programs, build backend APIs, automate AWS with Python, or mentions Python exercises, challenges, pytest, FastAPI, Flask, boto3, scripts, CLIs, or automation. Exercises must be created inside dated folders in /home/laborant/repos/python-practice. The skill tracks recurring mistakes and clarifying questions in the root learning-log.md; no progress tracker script or dynamic progress database is used.
Iterative codebase quality audit with multi-agent validation and escalating-depth SEEK/VALIDATE/FIX/RECURSE cycle. Enforces fix-all-per-cycle rule — every confirmed finding must be fixed before moving to the next cycle. Use for quality audit, code audit, codebase review, technical debt audit, refactoring opportunities, module quality check, or architecture review.
Guides Quarkus development across REST APIs, CDI dependency injection, Hibernate ORM, Panache, configuration, OpenAPI, templates, messaging, security, observability, packaging, and tooling. Use when building Quarkus applications, adding endpoints or clients, configuring datasources or OIDC, debugging build or runtime issues, or choosing extensions.
Salla app lifecycle webhook events — what Salla fires as a merchant installs, updates, uninstalls, trials, and subscribes. Use when handling `app.installed`, `app.store.authorize`, `app.updated`, `app.uninstalled`, `app.trial.*`, or `app.subscription.*`; provisioning on install; cleaning up on uninstall; or building the merchant state machine (installed → trial → active → expired → uninstalled). Builds on salla-webhooks (signature, idempotency, fast 200) and salla-app-auth (token storage). Plan/trial state and entitlements → salla-app-billing.
When the user wants to add, fix, or optimize schema markup and structured data on their site. Also use when the user mentions "schema markup," "structured data," "JSON-LD," "rich snippets," "schema.org," "FAQ schema," "product schema," "review schema," "breadcrumb schema," "Google rich results," "knowledge panel," "star ratings in search," or "add structured data." Use this whenever someone wants their pages to show enhanced results in Google. For broader SEO issues, see seo-audit. For AI search optimization, see ai-seo.
Build, review, or harden AI agents, LLM apps, RAG, tool-calling, coding agents, and agentic workflows with secure-by-default controls. Trigger on prompt injection, tool permissions, approvals, AI data handling, RAG poisoning, observability, or safety CI. Do NOT use for non-AI appsec.
DevSecOps, secure software development lifecycle (SSDLC), and application security (AppSec) practices covering secret handling, input validation, dependency hygiene, authentication/authorization, and CI/CD security tooling (SAST, SCA, DAST, secret scanning, IaC scanning). Use when writing code that handles credentials, user input, database queries, or authentication, when setting up a CI/CD pipeline, or when reviewing code or infrastructure for security issues.
Diagnose and fix performance problems in Shiny for Python apps — slow startup, sluggish interactions, blocking operations, and apps that struggle beyond a handful of concurrent users. Use when a Shiny for Python app is slow, hangs, recomputes too much, times out, or must support more users; when the user asks to "speed up", "optimize", or "make faster" a Python Shiny app; or when preparing a prototyped app for real-world traffic.
Use when you suspect duplicate or near-duplicate Rust code — writing a utility function that might already exist, copy-paste-modifying a function, creating near-duplicate structs or enums, or running `similarity-rs 0.5` with flags like `--threshold`, `--cross-file`, or `--min-lines`. Also triggers on `cargo install similarity-rs`, reviewing CI duplication gates, or tuning false-positive thresholds.
Specify plant models for closed-loop simulation: system specs, architecture, build plans, validation plans. Use when creating, updating, or reviewing plant model specifications, planning plant model architecture, or planning plant model validation.
Reviews SwiftUI code for best practices on modern APIs, maintainability, and performance. This skill should be used when the user asks to review SwiftUI code, check for deprecated iOS/macOS APIs, validate data flow patterns, or audit accessibility compliance in Swift projects.
Use for any interface work in an Angular project that uses Taiga UI (`@taiga-ui/*`): it is the app's UI layer, so every component, template, form, dialog, notification, and style goes through it. Use when building or changing UI, choosing which `Tui*` component fits a need, or when Taiga code won't compile, renders unstyled, or renders inert. If the project has no `@taiga-ui/*` packages yet, use `taiga-ui-setup`; schematics migration TODOs after a version bump belong to `taiga-ui-migration`
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.