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cccskills

「behavior」の検索結果

2,236 件 ・ 関連度順

概要と使いどころ

Generate and run tests for Adobe App Builder actions and UI components. Scaffolds Jest unit tests, integration tests against deployed actions, contract tests for Adobe API interactions, and React component tests using Testing Library. Provides mock helpers for State, Files, Events SDKs, @adobe/aio-lib-* clients, ExC Shell context (@adobe/exc-app), and UIX Guest SDK (@adobe/uix-guest). Use this skill whenever the user mentions testing App Builder actions, writing unit tests for Runtime actions, creating integration tests, mocking Adobe SDKs, setting up test fixtures, running aio app test, or wants to verify action behavior before deployment. Also trigger when users mention Jest configuration for App Builder, test coverage, CI test setup, React component test, Testing Library, UI test, Provider wrapper, test my page, test my form, test my table, test my component, mock shell context, mock extension context, debug test failures, or fix Jest errors.

日本語の概要は準備中です。原文の説明を表示しています。

aemgdc/aemdev22026年10月13日 更新

Create or materially revise a durable specification when the user explicitly requests a spec/new feature contract or a named ambiguity requires formal DEFINE; do not trigger for ordinary bounded edits, implementation, task breakdown alone, review, or documentation of already-settled behavior.

日本語の概要は準備中です。原文の説明を表示しています。

Rosetears520/aili-workflows22026年9月27日 更新

Build or modify production UI components, layouts, client state, responsive behavior, accessibility, or UX inside an app when that frontend surface is the primary deliverable; do not trigger for rich campaign/media pages, backend integration, every user-facing text change, delegated browser QA, or review alone.

日本語の概要は準備中です。原文の説明を表示しています。

Rosetears520/aili-workflows22026年9月27日 更新

Implement an accepted change in bounded dependency-ordered increments when the user requests implementation and the scope benefits from multiple coherent slices; do not trigger merely because work touches multiple files, changes behavior, or is over an arbitrary line count.

日本語の概要は準備中です。原文の説明を表示しています。

Rosetears520/aili-workflows22026年9月27日 更新

Creates load and performance tests with k6, Artillery, or autocannon to validate system behavior under stress. Use when users request "load testing", "performance testing", "stress testing", "k6 setup", or "benchmark API".

日本語の概要は準備中です。原文の説明を表示しています。

sathishssj3/Stereix-Engine22026年10月4日 更新

Use when the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a frontend interface. Covers websites, landing pages, dashboards, product UI, app shells, components, forms, settings, onboarding, and empty states. Handles UX review, visual hierarchy, information architecture, cognitive load, accessibility, performance, responsive behavior, theming, anti-patterns, typography, fonts, spacing, layout, alignment, color, motion, micro-interactions, UX copy, error states, edge cases, i18n, and reusable design systems or tokens. Also use for bland designs that need to become bolder or more delightful, loud designs that should become quieter, live browser iteration on UI elements, or ambitious visual effects that should feel technically extraordinary. Not for backend-only or non-UI tasks.

日本語の概要は準備中です。原文の説明を表示しています。

sathishssj3/Stereix-Engine22026年10月4日 更新

Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.

日本語の概要は準備中です。原文の説明を表示しています。

sathishssj3/Stereix-Engine22026年10月4日 更新

The original v1 taste-skill, preserved for projects depending on its exact behavior. The current default is `design-taste-frontend` (v2 experimental), which is a substantial rewrite. Use this v1 install name only if you need exact backward compatibility.

日本語の概要は準備中です。原文の説明を表示しています。

sathishssj3/Stereix-Engine22026年10月4日 更新

Use when a working Spark implementation should be simplified without changing its observed behavior, ownership, compatibility, or public contract.

日本語の概要は準備中です。原文の説明を表示しています。

zendev-lab/spark22026年10月12日 更新

Discover a single-page-app's hidden backend API from its public JS bundle, then test that API for broken access control / missing authentication. One of the highest-yield web plays in modern recon — SPAs ship their entire backend route map to the browser, and the API behind them is frequently missing the auth middleware the login page implies. Built from an authorized engagement where this play found an unauthenticated financial API that an ASM scan reporting hundreds of 'Criticals' completely missed. Use whenever a target serves a JS-heavy SPA (React/Vue/Angular/Next), an 'app'/'console'/'dashboard'/'portal' subdomain, or any `*api*` host shows up in recon. Leaked build artifacts (source maps / .env / .git / asset-manifest) are owned by hunt-source-leak; API version-inventory and behavioral diffing by hunt-shadow-api; this skill owns mapping a live SPA's backend routes from its JS bundle and testing them for broken access control / missing auth.

日本語の概要は準備中です。原文の説明を表示しています。

ajtazer/heckit22026年10月7日 更新

EDR evasion offensive checklist: hook unhooking (user/kernel), direct syscalls, PPID spoofing, process injection variants, AMSI bypass, ETW patching, memory encryption, and behavior-based evasion. Use when planning EDR bypass during red team engagements or researching AV/EDR evasion techniques.

日本語の概要は準備中です。原文の説明を表示しています。

ajtazer/heckit22026年10月7日 更新

NTLM info disclosure is a Medium-severity finding when chained to context — the leak itself is intentional protocol behavior (RFC-compliant NTLMSSP challenge), but on internet-exposed enterprise infrastructure it provides exact reconnaissance for the next stage of an attack. Highest-value targets:

日本語の概要は準備中です。原文の説明を表示しています。

ajtazer/heckit22026年10月7日 更新

Connect a Feishu (Lark) bot to Clawdbot via WebSocket long-connection. No public server, domain, or ngrok required. Use when setting up Feishu/Lark as a messaging channel, troubleshooting the Feishu bridge, or managing the bridge service (start/stop/logs). Covers bot creation on Feishu Open Platform, credential setup, bridge startup, macOS launchd auto-restart, and group chat behavior tuning.

日本語の概要は準備中です。原文の説明を表示しています。

danstrem2/clawdbot-skill-master-pack22026年2月1日 更新

Mandatory skills, conventions, and behavioral rules for Avalonia UI development using the Zafiro toolkit.

日本語の概要は準備中です。原文の説明を表示しています。

danstrem2/clawdbot-skill-master-pack22026年2月1日 更新

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

日本語の概要は準備中です。原文の説明を表示しています。

danstrem2/clawdbot-skill-master-pack22026年2月1日 更新

Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world benchmarks Use when: agent testing, agent evaluation, benchmark agents, agent reliability, test agent.

日本語の概要は準備中です。原文の説明を表示しています。

danstrem2/clawdbot-skill-master-pack22026年2月1日 更新

0protocol

無料

Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.

日本語の概要は準備中です。原文の説明を表示しています。

johnalbertini14-glitch/openclaw-skills22026年2月26日 更新

Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.

日本語の概要は準備中です。原文の説明を表示しています。

Scoheart/agentskills22026年8月4日 更新

Multi-dimensional lead qualification scoring. Evaluates leads against BANT criteria, firmographic fit, behavioral signals, and intent indicators. Outputs qualified/disqualified verdict with detailed reasoning.

日本語の概要は準備中です。原文の説明を表示しています。

ekatasingh1107/b2b-gtm-skills22026年4月12日 更新

Design desktop window systems that feel native on macOS and Windows: split views, inspectors, auxiliary windows, tiling, snap-safe sizes, default placement, and chrome density. Use when a Tauri/Electron/WinUI/SwiftUI app feels awkward, overlapping, over-chromed, or generic, or when you need a real geometry contract for multiple surfaces. NOT for mobile layouts, marketing pages, or CSS-only component styling without multi-window or multi-pane behavior.

日本語の概要は準備中です。原文の説明を表示しています。

curiositech/port-daddy22026年10月12日 更新

Architecture-level decisions for putting a CDN in front of a web app's static assets, API responses, and file/media delivery: provider selection (hyperscaler vs. specialist $/GB), signed-URL / tokenized access for gating private content at the edge, cache invalidation strategy (versioned URLs vs. purge APIs), origin shield / tiered caching for high-miss-rate content, and CDN-layer geo-restriction. Use when deciding which CDN to put in front of a new or growing service, when private/paywalled files need edge delivery without an origin round-trip per request, or when purge/invalidation behavior is being designed rather than debugged. NOT for HTTP cache-control header syntax, Vary, stale-while-revalidate, or surrogate-key purge mechanics (see `cdn-cache-control-headers`); NOT for Cloudflare-specific product configuration once Cloudflare is already chosen (see `cloudflare`); NOT for video-specific transcoding, adaptive bitrate ladders, or streaming-protocol packaging (see `managed-video-streaming-pipeline`).

日本語の概要は準備中です。原文の説明を表示しています。

curiositech/port-daddy22026年10月12日 更新

Design a bounded FIPA-style conversation and map it cautiously to JADE behavior APIs. NOT for treating a JADE API example as protocol delivery or application authorization proof.

日本語の概要は準備中です。原文の説明を表示しています。

curiositech/port-daddy22026年10月12日 更新

Prepare for Anthropic-specific technical interviews covering Constitutional AI, RLHF, interpretability, scaling laws, MCP, agentic systems, and AI safety. Activate on "anthropic interview", "constitutional AI prep", "alignment interview", "safety interview", "RLHF opinion", "interpretability prep", "anthropic technical". NOT for general ML interview prep, system design interviews, coding challenges, or behavioral interview practice.

日本語の概要は準備中です。原文の説明を表示しています。

curiositech/port-daddy22026年10月12日 更新

Fundamental patterns for effective agentic behavior. Teaches decomposition, tool orchestration, error recovery, context management, quality self-assessment, and knowing when to stop. Model-agnostic principles that make any agent more effective regardless of domain. Activate on: "how should I structure this agent", "agentic workflow", "agent patterns", "multi-step task", "tool orchestration", "/agentic-patterns", "decompose this", "agent best practices", "chain of actions", "when should the agent stop", "agent loop design". NOT for: creating agent infrastructure (use agent-creator), building DAGs (use jury_rig-architect), specific tool implementation.

日本語の概要は準備中です。原文の説明を表示しています。

curiositech/port-daddy22026年10月12日 更新