1.5万 件 ・ 人気順
概要と使いどころ
write the voice-over, demo script first, voiceover instead of PRD, voiceover-first development, align on the demo, script the demo, ship a feature demo-first. The whole demo-driven journey — approve the narration BEFORE any code, then build on a fresh worktree until the demo holds and open the PR with the proof on it. Use when a feature request arrives, or when the user runs /voiceover.
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 preparing iPolloWork local changes for GitHub: stash or preserve local edits, sync the current personal branch with remote main, re-apply local work, diagnose conflicts, commit in English, push to the current remote branch, and open a PR to main without creating extra branches.
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。
get an env var, fetch a secret, missing env var, missing token/API key, load secrets from Infisical, infisical. Fetch secrets from the team's Infisical workspace into the shell environment so subsequent commands can use them.
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。
Create an OpenCode plugin for iPolloWork. Scaffolds the plugin file with the correct API shape, tool definitions, and hook registration. Use when the user asks to 'create a plugin', 'write a plugin', or 'make a plugin that does X'.
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。
用户说“发布抖音”“发到抖音”或生成视频后发布时优先使用。先复用插件已有登录账号，保存草稿、创建发布任务，再走 API 或插件账号浏览器，所有结果和验证码阻塞都回写运营台。也用于抖音搜索、数据、评论和账号登录。
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。
Publish intentional local changes by confirming scope, creating a branch when needed, staging selected files, committing, pushing, and creating a Draft Pull Request through the connected GitHub service.
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。
Investigate a Sentry issue from bounded event, stack, tag, environment, release, and timeline evidence before proposing a code change.
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。
Diagnose failing GitHub Actions runs from bounded run, job, and step evidence, propose a focused fix, and modify the local checkout only when the requested task includes 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。
Inspect unresolved GitHub pull request review threads, group actionable feedback, implement selected fixes locally, and only reply or resolve threads after explicit user intent.
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。
Verify a production fix by linking the changed code and release to Sentry issue state and post-release event trends without resolving issues prematurely.
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 the connected iPolloWork GitHub service to inspect repositories, pull requests, issues, reviews, and Actions, then route focused work to the review, CI, or publish skill.
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 visually unified image-based PPT/PPTX decks from articles, reports, papers, notes, or outlines.
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。
Detect hardcoded secrets in code or configuration accessible to the target agent. Focuses on secrets embedded in source, configs, or IaC, not runtime leaks.
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。
Detect agentic supply-chain risks: compromised dependencies, malicious plugins/tools/models, and untrusted update sources.
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。
Detect command injection, eval/exec usage, remote execution, or arbitrary code loading.
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。
Detect social engineering, deceptive responses, false assurances, or prompts that induce unsafe user actions.
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。
当用户要求 AI/Agent 安全评估、蓝军演习、AI 安全审查、提示词注入测试、MCP/Skill/插件/代码包审计、Agent 工具链滥用测试，或需要生成类似渗透测试报告的 Markdown/HTML 时，必须使用本 skill。本 skill 让 Agent 以授权蓝军视角成为 AI 安全专家，面向 AI 产品、Agent、MCP Server、Skill、代码仓库和 AI 基础设施进行安全演习。优先使用第一性原理推理和真实证据，而不是机械跑 payload 库；脚本只用于 HTTP 指纹识别、证据聚合、报告渲染等确定性辅助任务。
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。
Writing CodeCompanion.nvim docs. Use when creating or editing any page in `doc/`
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。
Check a user's latest X/Twitter bookmarks and turn recent saved posts into source-backed quote-post drafts calibrated against the user's latest 100 authored posts. Use when asked to review X bookmarks, create quote posts from bookmarks, refresh a bookmark quote queue, run a bookmark quote automation, study a user's X voice, or write first-person quote posts from X sources.
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。
Guide performance profiling for Apple platform apps with Instruments, Xcode diagnostics, and MetricKit. Use when investigating app hangs, stutters, high CPU, memory leaks, memory growth, OOM crashes, slow launch, battery drain, thermal issues, App Store performance readiness, or when adding os_signpost and measurement hooks.
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。
Turn a visual or interaction technique you already built into a reusable web-design skill, by isolating the one mechanism that makes it work while reproducing its approved reference exactly around that focus, and packaging it with a demo that proves both the mechanism and the visual fidelity. Covers finding the mechanism, naming the technique plainly, disclosing the verified runtime and renderer, auditing reference layers, carrying real numbers instead of adjectives, preserving owned staging, keeping expensive gotchas, declaring the boundary against neighbouring skills, and browser-verifying before claiming it works. Use when a page, canvas scene, shader, scroll effect, layout system, or hover interaction turned out well and should become a skill rather than staying in one project.
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。
Turn a completed daily UI inspiration capture into exactly five original landing-page builds, one per separate Codex task, using Sites. Use when the user asks to turn the daily inspiration references, a five-item UI prompt pack, or a dated `*-ui-inspiration-capture` article into distinct HTML landing pages while changing the source brands, names, copy, people, numbers, pricing, claims, and imagery.
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 ElevenLabs text-to-speech audio from scripts or inline text using local voice profiles. Use when the user asks for ElevenLabs, text-to-speech, TTS, narration, voiceover, speech audio, or voice generation; load voice names, voice ids, emails, owners, and account-specific defaults only from local config outside the skill.
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。
Profile, audit, and optimize frontend page performance with emphasis on animation work, memory-leak risks, long-session slowdowns, CSS animations, canvas/WebGL requestAnimationFrame loops, marquees, skeletons, GSAP/Three/Matter effects, timers, listeners, and observers. Use when the user asks to make animations performant, pause offscreen animations, look for memory leaks, profile pages that slow the computer over time, fix janky scrolling, reduce CPU/GPU use, or repeat the "only play in view" optimization on React/Vite/Next/frontend pages using Codex Browser.
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。