「prompt」の検索結果

Songwriting craft and Suno AI music prompts.

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。

Decomposition playbook + anti-temptation rules for an orchestrator profile routing work through Kanban. The 'don't do the work yourself' rule and the basic lifecycle are auto-injected into every kanban worker's system prompt; this skill is the deeper playbook when you're specifically playing the orchestrator role.

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。

Edit PDF text/typos/titles via nano-pdf CLI (NL prompts).

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。

Jailbreak LLMs: Parseltongue, GODMODE, ULTRAPLINIAN.

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 setting up an email inbox for an AI agent (Moltbot, Clawdbot, or similar) - configuring inbound email, webhooks, tunneling for local development, and implementing security measures to prevent prompt injection attacks.

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。

Batch-generate Dreamifly images/videos from prompt queues. Use when the user asks to batch-generate images, edit images with references, create text-to-video or image-to-video, validate or estimate Dreamifly job cost, retry failed media jobs, or summarize Dreamifly outputs.

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。

批量调用 Dreamifly 生成并下载图片或视频。Use when the user asks to batch-generate images, edit images with references, create text-to-video or image-to-video, queue prompts, validate or estimate generation cost, retry failed media jobs, or summarize Dreamifly outputs.

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。

Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.

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。

Design and implement a complete ML pipeline for: (use the user's prompt)

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。

Renders rich console output. Spectre.Console tables, trees, progress, prompts, live displays.

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。

Integrates AI/LLM via Semantic Kernel. Plugins, prompt templates, memory stores, agents.

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。

Produce and maintain repository documentation and release artifacts including README files, PR descriptions, changelog entries, prompt templates, and instruction docs. Use when the user asks to create or update docs/process files under .github or project root.

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。

Produce and maintain repository documentation and release artifacts, including README files, PR descriptions, changelog entries, prompt templates, and instruction docs. Use when the user asks to create or update docs/process files under .github or project root.

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。

Migrates legacy AEM (6.x, AMS, on-prem) to AEM as a Cloud Service using BPA CSV or cache, CAM/MCP target discovery, and a one-pattern-per-session workflow. Use for BPA/CAM findings, Cloud Service blockers, or fixes for scheduler, ResourceChangeListener, replication, EventListener, OSGi EventHandler, DAM AssetManager, HTL data-sly-test lint. OSGi configs → Cloud Manager — scan ui.config, .cfg.json, secrets, $[secret:]/$[env:] — agent follows references/osgi-cfg-json-cloud-manager.md when prompted. After BPA/CAM discovery, migration hands off each (pattern, file) pair to the code-assessment skill — code-assessment owns the five pattern guides (scheduler/, resource-change-listener/, replication/, event-migration/, asset-manager/) and the shared references for SCR→DS, ResourceResolver/SLF4J, HTL lint, and prerequisites.

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, revise, or evaluate repository Agent Skills when the user asks to write a SKILL.md, improve triggers or information hierarchy, restructure references/scripts/assets, or diagnose skill predictability; do not use for product code, AGENTS.md initialization, general prompt editing, or automatic repository-wide cleanup.

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 user-reported AILI/ROSE harness or workflow behavior problems without editing files; use when the user says a command, skill trigger, subagent packet, memory flow, installer, docs, or agent prompt behavior is wrong and wants to know where the issue lives and how to fix it. Do not use for normal product-code bugs; return any approved modification need to ROSE.

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 regression scouting routing. Use when agents, prompts, skills, model/tool routing, harness fixtures, or generated-output expectations change and need regression scenarios; do not use for ordinary product-code regressions.

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。

Builds Model Context Protocol (MCP) servers for Claude with tools, resources, and prompts. Use when users request "create MCP server", "build Claude tool", "MCP integration", or "custom Claude tools".

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。

Implements content safety filters with PII redaction, policy constraints, prompt injection detection, and safe refusal templates. Use when adding "content moderation", "safety filters", "PII protection", or "guardrails".

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。

Reverse-lookup glossary that turns a vague description of a web animation or motion effect into its exact term ("the bouncy thing when a popover opens" → Pop in; "the iOS rubber-band scroll" → Rubber-banding). Use when the user asks "what's it called when…", or describes a motion effect without knowing its name and wants the right word to prompt an AI or designer with. For naming an effect, not designing or building one.

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。

Reduces LLM costs and improves response times through caching, model selection, batching, and prompt optimization. Provides cost breakdowns, latency hotspots, and configuration recommendations. Use for "cost reduction", "performance optimization", "latency improvement", or "efficiency".

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/LLM security offensive checklist: prompt injection, jailbreaking, model extraction, training data poisoning, adversarial inputs, LLM-assisted attack automation, and AI system reconnaissance. Use when assessing AI/ML systems, red-teaming LLMs, or researching AI attack vectors.

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。

Build gratitude practice with daily entries, streaks, and reflection prompts

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。

Research a topic from the last 30 days on Reddit + X + Web, become an expert, and write copy-paste-ready prompts for the user's target tool.

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。