1.7천건 · 관련도순
Serve a markdown file/directory as a calm, book-like reader via a local HTTP server (127.0.0.1 only); good for long-form docs like RFCs and plans. Supports Mermaid, dark/light mode, and a nav sidebar.
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Angular v20+ patterns: components, signals, services, forms, routing, HTTP, testing, SSR. Auto-activates on .ts files in Angular projects (angular.json detected).
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Serve any markdown file or directory as a calm, book-like reader via a local HTTP server (127.0.0.1 only). Best for long-form documents — RFCs, runbooks, design docs, plan files — where comfortable in-browser reading matters. Supports Mermaid diagrams, dark/light mode, plan navigation sidebar, and keyboard shortcuts. Requires explicit start and stop lifecycle.
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Use when transforming existing code into agent-consumable surfaces — CLI (npm-publishable), MCP server (stdio/SSE/Streamable HTTP), and a companion skill. Triggers on 'agentize', 'henshin', 'expose as MCP', 'wrap as CLI', 'publish to npm', 'make LLM-accessible', 'turn into agent tool', 'expose feature as tool'. Runs when the user has existing code and wants to ship it to agents. NOT for building new code from scratch (see mk:bootstrap); NOT for reviewing or verifying existing code (see mk:review).
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Use when working with Angular code — components, signals, services, forms, routing, HTTP, testing, SSR, or tooling. Targets Angular v20+ modern patterns. Auto-activates on .ts files in Angular projects (detected via angular.json).
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Local-only regression / benchmark skill for ui-clone-skills maintainers. Drives the standard ui-reverse-engineering pipeline against the canonical reference site (https://realfood.gov) and records AE/SSIM, iteration count, gate fail counts, and outcome to benchmark/history.csv so prompt / sub-doc / model-version drift surfaces as a trend. Trigger phrases: "run benchmark" / "regression benchmark" / "benchmark clone". The Makefile no longer has a `benchmark` target — setup is inline bash in this skill (Step 1 below). Internal: NOT registered in `.claude-plugin/plugin.json` `skills`. Not part of the public 3-skill marketplace surface. Maintainer tooling only.
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Use when a network probe, DNS lookup, HTTP fetch, or nmap scan reports the target host or the internet is unreachable. Stops further probing and reports a target-readiness blocker with useful diagnostics.
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End-to-end smoke against the local rembric dev server (`pnpm run dev`, host Next.js dev on :3000). Apply when the user says "smoke", "probar contra docker", "dev:up", or after applying an OpenSpec change that touches HTTP (`apps/web/src/app/api/`), MCP tools (`packages/mcp/src/`), or DB migrations (`packages/db/src/migrations/`). Encodes bring-up, readiness verification, probe pattern and teardown — not the probes themselves.
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Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases. Credits: Original skill by @blader - https://github.com/blader/humanizer
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MCP client: connect servers, register tools (stdio/HTTP).
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GitHub auth setup: HTTPS tokens, SSH keys, gh CLI login.
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Deploy web apps with backend APIs, database, and file storage. Use when the user asks to deploy or publish a website or web app and wants a public URL. Uses HTTP API via curl.
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n8n workflow automation knowledge base. Provides n8n node information, node functionality details, workflow patterns, and configuration examples. Covers triggers, data transformation, data input/output, AI integration, covering 10 nodes. Keywords: n8n, workflow, automation, node, trigger, webhook, http request, database, ai agent.
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Write scripts and programs against gatOS — the KSA mod that exposes live Kitten Space Agency simulation state as a 9P filesystem at /sim (also over HTTP /v1, MQTT, and an AI-oriented MCP server). Use this when asked to read game/celestial/vehicle telemetry, control vehicles (throttle, ignite, staging, attitude, burns, RCS, lights, docking), use game/debug controls (teleport, impulse kick, refuel, time-warp, switch vessel), direct the in-game camera / author cinematic shots and tracks, schedule timed command sequences, or write flight-computer / autopilot programs. Covers the full /sim catalog, the command model, KSA coordinate frames, and worked Bun/TypeScript + Rust examples.
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Build, extend, review, test, or deploy Model Context Protocol (MCP) servers with the official C# SDK. Use for C#/.NET MCP server projects using ModelContextProtocol, ModelContextProtocol.AspNetCore, MCP tools, resources, prompts, Streamable HTTP, stdio, authorization, server-to-client interaction, task execution, or MCP Apps.
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Control Devialet Phantom speakers via HTTP API.
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Expert-level computer networks covering OSI model, TCP/IP stack, routing protocols, transport layer, application protocols, network security, and software-defined networking.
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API design conventions for this codebase. Use whenever writing or reviewing API endpoints, route handlers, or HTTP clients.
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Use when setting up Traefik as a local reverse proxy — real domains on 127.0.0.1, trusted HTTPS via mkcert, automatic service discovery, and multi-project routing.
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Use when creating an API endpoint or HTTP route handler — detects the project stack and routes to the matching carve-out (laravel-api-endpoint, nextjs-patterns, symfony-workflow).
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Drive QA of a SwiftUI app on a real iPhone over USB - screenshot, read the accessibility tree, inspect @Observable state, tap, swipe, and type through an HTTP bridge embedded in the app under test. Use when asked to test an iOS app on a physical device, find bugs on the device, or expose a connected iPhone to a remote agent over Tailscale. Requires the ios-agent-qa runtime; not for simulator or XCTest work.
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Bun runtime, package manager, bundler, and test runner. Use when running scripts with bun, managing packages, serving HTTP with Bun.serve, querying databases with Bun.sql/bun:sqlite/Bun.redis, shell scripting with $, using S3/file I/O, writing tests with bun:test, bundling or compiling to executable, or using any Bun-specific API (spawn, glob, semver, FFI, workers, plugins, HTMLRewriter).
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Systematically find and fix performance problems in applications, frontend and backend, by measuring first. Use this skill whenever the user reports slow endpoints, high latency, poor throughput, memory leaks, large bundles, or slow page loads; wants to profile with cProfile, py-spy, Chrome DevTools, Node --cpu-prof, or perf; run load tests with locust or k6; set performance budgets or SLOs; optimize database queries (EXPLAIN, indexes, N+1); add caching (Redis); improve frontend performance (code splitting, lazy loading, image optimization, memoization, virtualization); or tune the network (CDNs, gzip/br, HTTP/2/3). Also trigger for p50/p95/p99 latency, throughput, error rate, connection pooling, async vs threads, GIL, and memory leak investigations.
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AI crawler access analysis. Checks robots.txt, meta tags, and HTTP headers to determine which AI crawlers can access the site. Provides a complete access map and recommendations for maximizing AI visibility while maintaining appropriate control.
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