「md」の検索結果

Search PDF, PPTX, and image content in Attachments using macOS Spotlight

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 NFT and token data, trade NFTs on Seaport, swap ERC20 tokens via DEX aggregator, configure wallet signing providers, and build/register/gate AI agent tools on Base. Covers the full OpenSea developer surface across CLI, MCP server, shell scripts, and SDK. Pick the right sub-skill using the routing table below, then read that sub-skill's SKILL.md for operational detail.

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。

Generates individual Remotion scene components from visual direction. Input is visual/animation description for a specific scene. Output is SCENE_COMPONENT.md with complete TSX implementation. Use when implementing scenes or when asked to "create a scene component", "implement scene from spec", "build Scene1Intro".

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。

Generates Remotion composition structure focusing ONLY on Sequence ordering, scene transitions, and duration mapping. Input is scene list with durations. Output is COMPOSITION_STRUCTURE.md with Sequence layout and timing calculations. Use when organizing scenes or when asked to "structure composition", "layout scenes", "calculate timing".

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。

Orchestrates translation of motion designer video specifications into working Remotion code by coordinating specialized agents. Acts as pipeline coordinator that delegates to remotion-scaffold, remotion-animation, remotion-composition, and remotion-component-gen. Use when you have a complete VIDEO_SPEC.md and need full Remotion 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。

Generates render and output configuration for Remotion videos. Focuses ONLY on output settings, codec, format, quality, resolution. Input is target platform/quality requirements. Output is RENDER_CONFIG.md with Remotion render settings.

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。

Map testable surfaces, audit existing tests for quality, and write test specifications that prevent AI shortcuts. Use when asked to "audit tests", "specify tests", "test architect", "map test coverage", or invoke /test-architect. Two modes — audit (evaluate existing tests against Beck's principles) and specify (write test specs for new code). Powered by Carmack × Beck quality-testing.md reference doc. Stack: Next.js App Router / TypeScript / Vitest / Cypress / tRPC / Prisma / Neon.

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。

Drive a whole tdmcp feature BACKLOG to completion as resumable, wave-by-wave releases — the campaign layer ABOVE tdmcp-pipeline/tdmcp-feature-lead. Use whenever the user wants to implement an ENTIRE backlog or discovery file (e.g. _workspace/discovery*/FEATURE_BACKLOG*.md), 'all the features', many features across multiple releases, or a long autonomous build campaign, AND for every follow-up: continue/resume the campaign, run the next wave, re-run a failed wave, fold in QA results, or check campaign status. Backed by a ledger.json so re-running is idempotent (skips shipped work, resumes interrupted work) and resilient (retry-once then quarantine-and-continue). For a SINGLE feature or one small batch, use tdmcp-pipeline instead; this skill is for the whole ledger.

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。

Updates tdmcp docs and roadmap for newly shipped or newly merged capabilities. Use when asked to update docs, update the roadmap, reconcile release docs, document new features, sync docs with CHANGELOG/package release, refresh cookbook examples after a feature wave, re-run/continue/fix a docs-roadmap pass, or check whether docs/ROADMAP.md is current. Runs a sub-agent workflow: release audit -> roadmap/docs edit + cookbook sync -> QA.

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。

Consolidate the td-trend-scout reports under `_workspace/hype-scout/` into one prioritized HYPE_TOOL_BACKLOG.md — dedupe trends across surfaces, vet each candidate against the real tdmcp codebase (layer fit, operator coverage, bridge work), rank by Hype × Build-Ease, and emit a 'Ready for tdmcp-pipeline' top-5. Use when a td-hype-synthesizer agent is consolidating scouts at the end of the tdmcp-hype-scout harness.

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。

Consolidate the five tdmcp surveyor reports into one prioritized FEATURE_BACKLOG.md — dedupe cross-surface overlaps, reconcile every candidate against the roadmap (NEW vs planned vs extension), rank by a selectable impact×effort weighting profile into P0/P1/P2 (high-confidence first), and emit per-surface tables + a recommended-next shortlist that hands straight to the build pipeline. Use when a td-synthesizer agent is consolidating surveys during the feature-discovery harness.

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。

Scout the TouchDesigner community for what's HYPED right now — community showcases, recent tutorials, generative-AI bridges, hardware interaction trends, visual-aesthetic trends of 2025-2026 — then propose tdmcp tools that ride those trends AND are easy to build. Use whenever the user wants to brainstorm new feature ideas based on what's trending in TouchDesigner, asks for 'hype' or 'trending' features, asks 'what are people doing in TD right now / what's hot / what's hype', wants tools inspired by community trends, asks to scout TD trends/aesthetics/integrations, or says things like 'ideias hype', 'novas ideias', 'o que está em alta', 'criar ferramentas para o que está bombando', 'tendências do TouchDesigner'. Also for follow-ups: refresh, rescout one surface, re-rank under another profile, deepen a trend, or filter for buildable-easy items. This is an EXTERNAL trend ideation harness — complementary to tdmcp-feature-discovery (which is INTERNAL gap analysis). It produces `_workspace/hype-scout/HYPE_TOOL_BACKLOG.md` ranked by Hype × Build-Ease; it does NOT build. Once a feature is chosen from the backlog, hand it to tdmcp-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。

Scout ONE external surface of the TouchDesigner community for what's HYPED in 2025-2026 that could become a tdmcp tool. Use when a td-trend-scout sub-agent is assigned a surface (community-showcase, tutorials, generative-ai, hardware-interactive, or vfx-aesthetics) during the tdmcp-hype-scout harness — produces `_workspace/hype-scout/01_scout_<surface>.md` with cited trend candidates ranked by hype intensity, recency, and build-ease in tdmcp.

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。

CTO-level architectural advisor for AI-native development. Use this skill whenever you encounter code design decisions, architecture discussions, system resilience questions, or any work touching: "architecture", "design", "scale", "dependencies", "state", "failure", "blast radius", "refactor", "migrate", "optimize", "resilience", "consistency", "observability", "bottleneck", "coupling", "monolith", "microservices", "distributed", "concurrency", "data flow", "system design", or any prompt suggesting code-first thinking when design-first thinking is needed. This skill integrates with Claude Code to review generated code for architectural soundness, define design systems via design.md, and guide teams toward CTO-level thinking. Trigger aggressively on architectural questions—this is where AI adds the most leverage.

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。

Define, review, or update SECURITY.md guidance for a repository or component. Use when the user wants to clarify what Codex Security should review, what is out of scope, which security properties must hold, or whether existing guidance still matches the code.

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。

Linux local privilege escalation from a low-privilege shell to root. Covers quiet vs loud enumeration, sudo/GTFOBins, CVE-2025-32463 chwoot and CVE-2025-32462 host bypass, polkit/udisks CVE-2025-6018/6019, SUID/capabilities, systemd timers/units, cron/PATH/LD_PRELOAD, dangerous groups and docker.sock, host-local container escape, and version-gated kernel LPE including Copy Fail CVE-2026-31431. Use when the operator has a Linux foothold and needs root. Kubernetes RBAC stays in /k8s. Endpoint blocks hand off to /edr-bypass then return 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。

OS post-exploitation after a stable host foothold: quiet host recon, host-native persistence (Windows Run/tasks/services/COM/WMI and Linux SSH/cron/systemd/SUID), long-term C2 (Sliver primary, Mythic/Havoc optional), targeted collection and exfil, and engagement cleanup. Does not own AD/cloud/K8s native persistence, Ligolo pivoting, LSASS dumping, or EDR bypass. Operator selects objectives; success is a live callback, verified persistence, delivered loot, or restored host — not generating an unused implant.

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。

简历生成与美化。两种入口：把已有简历(PDF/Word/文本)解析、诊断、套用模板美化；或者还没有简历时，通过 LinkedIn 导入或一问一答的对话帮你从零建出一份。输出单页打印优化的 HTML(浏览器里 Cmd+P 直接存成 PDF)，提供 4 套模板：Classic/ATS 友好、Modern 侧栏、Elegant 衬线、Tech 紧凑。关键词：resume, CV, 简历, 美化简历, 做简历, 简历模板, resume template, LinkedIn 简历, 求职简历, ATS, 改简历, polish resume。

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。

检查 Markdown 文档中的引用是否可定位、URL 或锚点是否可访问，并整理供后续判断引用真实性与适切性的结构化证据。当用户要求核查引用、检查文档链接，或确认引用是否支持正文论断时使用。

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。

将一个或多个 Markdown 文档转换为格式优美的 Word（.docx），基于 Pandoc + 内置 reference.docx 模板（可选自定义模板），并确保不修改任何原始 Markdown 文件。内置模板已修复命名空间兼容性问题，支持 RGBA 图片自动转换。

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。

当主要交付物是可复用的 R 函数、稳定 API、S3/S4/R6 类或 R Package，需要设计、开发、重构或审查其接口、测试、文档、并行与性能边界时使用。分析项目中只有需要跨分析复用或形成公共 API 的组件才进入本 Skill。⚠️ 不适用：主要交付物是数据分析流程、科学结果、R Markdown 报告或仅服务当前分析的辅助函数；这些任务使用 bensz-rmd-rules。

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。

当用户明确要求初始化项目、创建项目指令文件、生成 AGENTS.md，或为已有项目补齐 AI 协作规范时使用。该 Skill 会分析项目结构，并生成或更新适用于当前项目的标准化协作文档与基础目录。

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。

当用户需要调研某个 skill 的模型选择最佳实践时使用：分析目标技能的源代码与工作流 → 通过联网搜索（Tavily/SearXNG/DuckDuckGo）收集官方文档与社区经验 → 总结出哪些场景该用什么模型/参数 → 生成 WHICHMODEL 小节插入目标技能的 README.md。

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。

Babel internal issue protocol — list open handoffs by label. Scans designs/*/.handoff/*.md (filtered by label) and best-effort merge with gh issue list. Used by all guru/architect agents at startup to pick up work.

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。