「sat」の検索結果

Generates optimized prompts for AI tools. Activates only when the user explicitly asks to write, fix, improve, or adapt a prompt for a specific AI tool (LLM, Cursor, Midjourney, image AI, video AI, coding agents, etc.). Does not activate for general conversation, coding tasks, document writing, or other non-prompt-engineering 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。

Records research provenance as a post-task epilogue, scanning conversation history at the end of a coding or research session to extract decisions, experiments, dead ends, claims, heuristics, and pivots, and writing them into the ara/ directory with user-vs-AI provenance tags. Use as a session epilogue — never during execution — to maintain a faithful, auditable trace of how a research project actually evolved.

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 building game systems, implementing Unity/Unreal Engine features, or optimizing game performance. Invoke to implement ECS architecture, configure physics systems and colliders, set up multiplayer networking with lag compensation, optimize frame rates to 60+ FPS targets, develop shaders, or apply game design patterns such as object pooling and state machines. Trigger keywords: Unity, Unreal Engine, game development, ECS architecture, game physics, multiplayer networking, game optimization, shader programming, game AI.

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 MemOS Local memory system to search and use the user's past conversations. Use this skill whenever the user refers to past chats, their own preferences or history, or when you need to answer from prior context. When auto-recall returns nothing (long or unclear user query), generate your own short search query and call memory_search. Available tools: memory_search, memory_get, memory_write_public, memory_share, memory_unshare, task_summary, skill_get, skill_search, skill_install, skill_publish, skill_unpublish, network_memory_detail, network_skill_pull, network_team_info, memory_timeline, memory_viewer.

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。

Triage recent changes, CI failures, issues, and conversations. Produces a concise, actionable findings report suitable for a loop to consume. Writes structured output to a state file or Linear board.

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。

Triage recent changes, CI failures, issues, and conversations. Produces a concise, actionable findings report suitable for a loop to consume. Writes structured output to a state file or issue tracker.

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。

Validate built features through conversational UAT

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。

Clone the later half of the current conversation, discarding earlier context to reduce token usage while preserving recent 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。

Clone the last quarter of the current conversation, discarding earlier context to reduce token usage while preserving recent 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。

Review recent conversations to find improvements for CLAUDE.md files.

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。

Audit Reddit Ads measurement, campaign structure, community and interest targeting, creative-native fit, catalog advertising, budgets, brand safety, and reporting. Use for Reddit Ads, promoted posts, conversation ads, community targeting, Reddit Pixel, Reddit Conversions API, or Reddit dynamic product ads.

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。

Save the decisions, facts, dead ends and architecture this conversation established to Atlas's shared memory, so other agents and future sessions can build on 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。

必须用于通过对话管理当前专家实例的 Skill，包括查找、检查、安装、导入、更新、编辑、列出、恢复或删除。支持 skillhub.cn/skills/... 页面 URL、SkillHub CLI、本地及上传文件、SKILL.md、ZIP/TAR、Git/GitHub 和普通下载 URL；也用于把 PDF、Markdown、文档、代码、图片等任意资料整理成新 Skill。Must use for conversational Skill management from files, URLs, Git repositories, archives, or SkillHub.

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。

Munder Difflin hive sync — runs the start-of-task hive protocol steps: reads memory.md, checks inbox/ for new messages, and reminds you to record durable facts in memory.md and write coordination files before ending. Use when asked to "sync with the hive", "check my inbox", "hive status", or "hive sync". Proactively suggest at the start of a new task if you haven't checked your hive inbox in this conversation. (munder-difflin)

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 or edit Excel workbooks with openpyxl-specific pitfall handling, anchored preflight audit, and deterministic post-write proof that every criterion is satisfied

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 Excel workbooks only after anchored preflight audit, then require deterministic Python/openpyxl post-write proof that every requested criterion is satisfied or explicitly reconciled before finalizing.

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。

Hunts for the other instances of a bug already found — the variants of one root cause across a codebase. Use immediately after a vulnerability, logic bug, or bad pattern turns up in a specific file and the question becomes where else it occurs, including the bare conversational form ("are there others like this?", "is this the same bug?"). Also for generalizing one known instance into a CodeQL or Semgrep query for its whole pattern family, and for triaging a set of look-alike candidates against a known root cause. Not for initial discovery with no bug in hand.

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。

Quickly capture product ideas, feature requests, or insights from meetings and conversations. Rapid documentation with smart categorization and deduplication.

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 authoring a rig spec member or `rig expand` payload that needs to start a new managed seat from a prior runtime conversation source — `session_source: { mode: fork, ref: { kind, value } }`. v1 supports `mode: fork` with `ref.kind: native_id` for Claude and Codex. The new seat persists a NEW post-fork token; the parent token is NEVER written onto the new seat. NOT for restoring an existing seat or for artifact-backed mental-model rebuild.

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 conversations and decisions into structured Notion pages; use when turning chats/notes into wiki entries, how-tos, decisions, or FAQs with proper linking.

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。

Plan who to talk to about a sunset, in what order, and what each conversation must cover. Use when an EOL decision is made and you want the landmines found before the announcement.

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 a new PM skill through guided conversation. Use when you have raw content or an idea and want to shape it into a compliant 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。

Expert guide for designing and building high-quality skills from scratch through structured conversation. Use when someone wants to create a new skill, build a skill, design a skill, or asks for help making Agents do something consistently. Also use when someone says "turn this into a skill", "I want to automate this workflow", "how do I teach my Agent to do X", or mentions creating SKILL.md files. Covers standalone skills and MCP-enhanced workflows. Do NOT use for creating subagents (use subagent-creator) or technical design documents (use create-technical-design-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。

Create or update reusable iPolloWork templates through conversation for Design, Slides/native editable PPT, and HyperFrames Video. Use when planning, generating, repairing, validating, or saving a template package, manifest, reusable variables, cover, slide/PPT markers, video composition, or design-system token integration.

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。