4,615 件 ・ 関連度順
概要と使いどころ
当用户在投资（或重大决策）场景中，对某个标的/方向产生兴趣但说不清"我到底懂不懂它"，或列举了一堆正面理由却无法回答"未来5-10年它会怎样"时，激活此 skill。关键触发信号：用户用行业经验替代商业判断、用研究时长衡量理解深度、或以"看起来便宜"作为买入理由。不适用于：纯信息查询、已有明确投资框架的用户寻求优化、日常小额消费决策。核心区别：能力圈≠熟悉的行业，而是"能判断未来现金流折现的范围"；安全边际=理解度而非价格折扣。
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。
Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for Linux credential artifacts, service tokens, SSH material, cloud and container secrets, socket-level trust, and host-to-host pivot chains. Use when the user asks to trace Linux auth artifacts, accepted token or key replay, socket or service-account trust edges, sudo or capability abuse, or explain lateral movement across Linux challenge nodes. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.
日本語の概要は準備中です。原文の説明を表示しています。
Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for reverse engineering, malware, DFIR, firmware, pwnable, and native exploit challenges. Use when the user asks to reverse a binary, unpack a sample, inspect a memory dump or PCAP, recover malware behavior, debug a crash, or build or verify an exploit chain under sandbox assumptions. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.
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。
Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for DFIR chronology, cross-artifact correlation, persistence chains, and incident timeline reconstruction. Use when the user asks to build a forensic timeline, correlate EVTX, PCAP, registry, disk, memory, mailbox, or browser artifacts, explain the order of attacker actions, or pinpoint the stage where the decisive artifact appears. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.
日本語の概要は準備中です。原文の説明を表示しています。
Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for custom binary or text protocol recovery, handshake reconstruction, framing, sequence control, checksums, stateful replay, and accepted-session reproduction. Use when the user asks to decode an unknown protocol, recover custom framing, build a replay harness, satisfy sequence or checksum rules, replay a captured session, or prove the smallest message order that reaches an accepted branch. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.
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。
移动端跨平台开发。覆盖 React Native / Flutter / Expo / Ionic / Capacitor / Tauri。
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。
Capture and automate macOS UI with the Peekaboo CLI.
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。
Capture frames or clips from RTSP/ONVIF cameras and local webcams, including USB pan/tilt/zoom control.
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。
Repair or extend CodyMaster skills with a three-mode loop: FIX, DERIVED, and CAPTURED, grounded in current repo tooling.
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。
Working memory protocol — maintains context across sessions via CONTINUITY.md. Inspired by Loki Mode. Read at turn start, update at turn end. Captures mistakes and learnings to prevent repeating 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。
Bottom-sheet and popup growth system: booking CTAs, calendars, lead capture, surveys, re-engagement, with CRO tracking hooks. Zero-deps; works static or dynamic sites. Works with cm-booking-calendar, cm-ads-tracker, cm-google-form, cm-readit, cm-ux-master.
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。
Generate pre-populated NFR table for a system's HLD based on tier and project type
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。
Inspect and govern local Skills: inventory, usage evidence, duplicates, broken links, Core/On-demand proposals, Plans, Receipts, Apply, and Undo. Also find a specialized local Skill when the user requests one or the task would benefit from instructions beyond the visible catalog. Ordinary work can proceed with the Agent's existing capabilities. Not for installing third-party Skills or migrating, distributing, synchronizing, or repairing shared Skill-manager directories.
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。
Use when evaluating, comparing, installing, or recommending a Claude Code plugin, Agent Skill, MCP server, agent toolkit, or GitHub-hosted AI extension, especially when popularity is weak evidence or the candidate requests shell, network, filesystem, or credential access.
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。
Use Agent Media when an agent needs to create captioned vertical UGC videos, narrated b-roll overlays, reusable characters, images, and voice through a hosted MCP server and companion skills.
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。
Scaffold, run, inspect, and evaluate model-agnostic agents that connect to MCP servers, skills, shell tools, and workflow packs.
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。
Browsertrix Crawler is a browser-based crawling system from Webrecorder for high-fidelity site capture, QA replay analysis, and configurable crawl behavior. It runs complex crawls in a single Docker container and uses Puppeteer plus Chrome DevTools Protocol under the hood.
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。
The official Brave Search MCP server integrates the Brave Search API with AI assistants, providing comprehensive web search, local business search, image search, video search, news search, and AI-powered summarization capabilities through the Model Context Protocol.
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。
BackstopJS gives agents a repeatable way to capture reference screenshots, compare UI states, and flag visual regressions before changes ship. This skill centers on the real BackstopJS project and turns browser-based layout comparison into a structured QA workflow for web teams.
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。
Query Chinese A-share, ETF, index, financial statement, valuation, capital-flow, and technical-indicator data through the AShareHub Python SDK and hosted API. Use this skill when an agent needs structured China market data as pandas DataFrames.
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。
Instruments Anthropic API calls to log token usage, latency, and cost per request using the Anthropic TypeScript SDK. Wraps the anthropic.messages.create method to capture usage.input_tokens, usage.output_tokens, and timing from the API response. Writes structured logs to CloudWatch Logs via the AWS SDK v3 CloudWatchLogsClient.
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。
Runs Ansible diagnostic playbooks using ansible-runner and the Ansible Collections ecosystem (ansible.builtin, community.general). Captures system health, service status, and log analysis across inventory hosts.
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。
Use photo-cli when an agent needs to normalize a local photo archive by reading capture metadata, reverse geocoding locations, and rebuilding a cleaner folder structure without moving into a hosted photo platform.
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。
AI Engine is a WordPress plugin by Meow Apps that connects sites to OpenAI, Claude, Gemini, and other models while exposing WordPress actions through MCP and REST interfaces. This skill helps agents configure providers, enable the plugin's MCP capabilities, and automate content, chatbots, media, and site-management workflows from WordPress.
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。