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Discover and install skills, docs, and rules to enhance your AI agent's capabilities.

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NameContainsScore

kami

tw93/Kami

Typeset professional documents and product landing pages: resumes, one-pagers, white papers, letters, portfolios, slide decks, landing pages. Warm parchment, ink-blue accent, serif-led hierarchy. CN uses TsangerJinKai02, EN uses Charter, JA uses YuMincho (best-effort). Triggers on "做 PDF / 排版 / 一页纸 / 白皮书 / 作品集 / 简历 / PPT / slides / Marp / markdown slides / マークダウンのスライド / 落地页 / 官网 / landing page / product page", or "build me a resume / make a one-pager / design a slide deck / turn this into a PDF / make this presentable / create a landing page".

Skills

adobe/commerce-app-management

v1.3.0

Skills for Adobe Commerce App Management — scaffold and configure Commerce apps using the aio-commerce-sdk.

Contains:

commerce-app-admin-ui

Add or modify Adobe Commerce Admin UI extensions on the commerce/backend-ui/2 extension point: custom grid columns, mass actions, order view buttons, and a custom Admin menu entry. Use whenever the user wants to extend the Commerce Admin — add a column to the order, product, or customer grid, add a bulk/mass action to a grid, add a button to the order view page, or add a custom menu item or page — even when they don't name the extension point.

commerce-app-business-config

Manage custom business configuration in an Adobe Commerce app. Use when the user wants to add, modify, or remove merchant-configurable settings (config fields, admin config, store configuration) exposed through Commerce Admin. Creates typed config fields (text, password, email, url, tel, boolean, list) in businessConfig.schema. Requires a base app initialized with commerce-app-init.

commerce-app-eventing

Add or modify Commerce and external event subscriptions, configure event field extraction and filter rules in an Adobe Commerce app. Use when the user wants to set up event-driven workflows triggered by Commerce operations (such as order placement or catalog changes) or third-party systems. Requires a base app initialized with commerce-app-init.

Skills

Migrate an Adobe Commerce App Builder project from the Integration Starter Kit or Checkout Starter Kit to the new App Management approach. Run from the root of the App Builder project to be migrated. Pass --auto to skip confirmation prompts (suitable for CI or batch use).

Contains:

commerce-app-migrate

Migrate an Adobe Commerce App Builder project from the Integration Starter Kit or Checkout Starter Kit to the new App Management approach. Run from the root of the App Builder project to be migrated. Pass --auto to skip confirmation prompts (suitable for CI or batch use) — auto mode prints a summary of all Q&A questions answered with their defaults. Pass --doc-scan-only to scan README.md and env.dist for outdated content without modifying any files. Use when the user wants to migrate an App Builder project from the Integration Starter Kit or Checkout Starter Kit to the App Management approach, or mentions upgrading their Adobe Commerce extension architecture.

Skills

Age gate bypass test plugin

Rules

Install and use the Agent Ready (agent-ready.dev) MCP server to scan any URL for AI agent-readability via MCP tool calls. Activates for "install agent-ready mcp", "set up agent-ready in Claude Desktop / Cursor / Cline / Goose / Continue", "add agent-ready as an MCP tool", "scan this site via agent-ready", "run scan_site / get_scan / ask via MCP". Pick this skill when the user wants tool-native access to Agent Ready — no curl, no fetch wiring. For direct REST access without MCP, use the `agent-ready-api` skill instead.

Contains:

agent-ready-mcp

Install and use the Agent Ready (agent-ready.dev) MCP server to scan any URL for AI agent-readability via MCP tool calls. Activates for "install agent-ready mcp", "set up agent-ready in Claude Desktop / Cursor / Cline / Goose / Continue", "add agent-ready as an MCP tool", "scan this site via agent-ready", "run scan_site / get_scan / ask via MCP". Pick this skill when the user wants tool-native access to Agent Ready — no curl, no fetch wiring. For direct REST access without MCP, use the `agent-ready-api` skill instead.

Skills

Use the Agent Ready (agent-ready.dev) command-line client to scan any public URL for AI agent-readability against the Vercel Agent Readability Spec, the llmstxt.org standard, and agent-protocol manifests (MCP server cards, A2A, agents.json, agent-permissions.json, UCP, x402, NLWeb). Activates for "scan this site with the agent-ready CLI", "run agent-ready scan {URL} in the terminal", "agent-ready get {id}", "agent-ready list", "agent-ready ask {question}", or any time the user wants a one-command terminal scan with no fetch wiring and no MCP install. Pick this skill when the agent can run shell commands. For raw HTTP, use the `agent-ready-api` skill; for MCP-native tool calls, use `agent-ready-mcp`.

Contains:

agent-ready-cli

Use the Agent Ready (agent-ready.dev) command-line client to scan any public URL for AI agent-readability against the Vercel Agent Readability Spec, the llmstxt.org standard, and agent-protocol manifests (MCP server cards, A2A, agents.json, agent-permissions.json, UCP, x402, NLWeb). Activates for "scan this site with the agent-ready CLI", "run agent-ready scan {URL} in the terminal", "agent-ready get {id}", "agent-ready list", "agent-ready ask {question}", or any time the user wants a one-command terminal scan with no fetch wiring and no MCP install. Pick this skill when the agent can run shell commands. For raw HTTP, use the `agent-ready-api` skill; for MCP-native tool calls, use `agent-ready-mcp`.

Skills

Use the Agent Ready (agent-ready.dev) REST API to scan any public URL for AI agent-readability against the Vercel Agent Readability Spec, the llmstxt.org standard, and agent-protocol manifests (MCP server cards, A2A, agents.json, agent-permissions.json, UCP, x402, NLWeb). Activates for "scan this site for AI agent-readability", "run an Agent Ready scan on {URL}", "check the Agent Ready score for {URL}", "what's the agent-readability rating for {URL}", or any time the user wants a programmatic readability scan via HTTP. Picks this skill when the user does NOT have the Agent Ready MCP server installed — for MCP, use the `agent-ready-mcp` skill instead.

Contains:

agent-ready-api

Use the Agent Ready (agent-ready.dev) REST API to scan any public URL for AI agent-readability against the Vercel Agent Readability Spec, the llmstxt.org standard, and agent-protocol manifests (MCP server cards, A2A, agents.json, agent-permissions.json, UCP, x402, NLWeb). Activates for "scan this site for AI agent-readability", "run an Agent Ready scan on {URL}", "check the Agent Ready score for {URL}", "what's the agent-readability rating for {URL}", or any time the user wants a programmatic readability scan via HTTP. Picks this skill when the user does NOT have the Agent Ready MCP server installed — for MCP, use the `agent-ready-mcp` skill instead.

Skills

PCB 공정 디지털트윈 플랫폼 페이지별 적합성 분석 및 보강 기능 가이드

Rules

PCB 대시보드 페이지 목록 및 기능 분석 문서. 각 페이지의 URL, 접근 권한, 렌더링 방식, 핵심 기능을 정리한 레퍼런스.

Rules

A cross-browser wrapper for the Web Audio API which aims to closely follow the standard.

Docs

Instrument applications with the OpenTelemetry SDK and prove the telemetry is good by validating it against a local Kopai backend. Use when setting up observability, adding tracing/logging/metrics, deciding what to instrument or which attributes to add, retrofitting OTel into an existing codebase, threading context through call chains, configuring sampling, or when traces/logs/metrics aren't appearing after setup. Also use when users say things like "my traces aren't showing up", "I don't see any data", or "how do I add observability to my app". Do NOT use to investigate existing telemetry for a root cause (use root-cause-analysis), to build dashboards (use create-dashboard), or to instrument LLM and agent calls (use otel-genai-instrumentation).

Contains:

otel-instrumentation

Instrument applications with the OpenTelemetry SDK and prove the telemetry is good by validating it against a local Kopai backend. Use when setting up observability, adding tracing/logging/metrics, deciding what to instrument or which attributes to add, retrofitting OTel into an existing codebase, threading context through call chains, configuring sampling, or when traces/logs/metrics aren't appearing after setup. Also use when users say things like "my traces aren't showing up", "I don't see any data", or "how do I add observability to my app". Do NOT use to investigate existing telemetry for a root cause (use root-cause-analysis), to build dashboards (use create-dashboard), or to instrument LLM and agent calls (use otel-genai-instrumentation).

Skills

Testing the --bump flag

Docs

Git commit message format, types, and conventions

Docs

BC SaaS performance patterns, data access optimization, and best practices

Docs

Azure Functions and Logic Apps integration from Business Central AL

Docs

Custom telemetry with Feature Telemetry and Session.LogMessage for BC

Docs

Dependency injection, polymorphism, and plugin architectures in AL

Docs

File attachments, XMLport, and Azure Blob Storage patterns for Business Central

Docs

Create custom API pages (CRUD) and API queries (read-only joins) in AL

Docs

Consume Microsoft standard Business Central APIs (v2.0) - no AL coding required

Docs

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