「session」の検索結果

複数段階の調査や制作で、計画・発見・進捗をプロジェクト内のMarkdownファイルに保存し、中断後も記録を読み直して作業を再開するためのスキル。

• ツールを何度も使う調査を計画したいとき
• 中断した作業を再開したいとき
• エラーやテスト結果の記録

複数段階の調査や制作で、計画・発見・進捗をプロジェクト内のMarkdownファイルに保存し、中断後も記録を読み直して作業を再開するためのスキル。

• ツールを何度も使う調査を計画したいとき
• 中断した作業を再開したいとき
• エラーやテスト結果の記録

複雑な作業を段階に分け、計画・調査結果・進捗をファイルに保存します。タスクごとに記録を分け、対応環境では作業の節目に計画を自動参照するスキルです。

• ツール操作の多い調査を計画したいとき
• 保存した記録から作業を再開したいとき
• 並行タスクの記録を分けたいとき

複数工程の調査や制作で、計画・発見・作業履歴をMarkdownに保存するドイツ語版です。タスクごとの記録を読み直し、中断後の再開や進捗の確認を支えます。

• ドイツ語の手順で調査を管理
• 中断後に作業状況を確認したいとき
• 並行タスクの計画分離

複雑な作業を段階に分け、計画・調査結果・進捗をファイルに保存します。タスクごとに記録を分け、対応環境では作業の節目に計画を自動参照するスキルです。

• ツール操作の多い調査を計画したいとき
• 保存した記録から作業を再開したいとき
• 並行タスクの記録を分けたいとき

ゲーム開発のストーリーに必要な仕様と設計判断を集め、適切な専門エージェントに実装を振り分け、設定に応じたテストや画面確認の証拠までそろえるスキルです。

• 準備済みの開発ストーリーを実装したいとき
• 適切な専門プログラマーへの実装振り分け
• 必要なテストと画面証拠の収集

ゲーム開発の進行状況と作業記録を確認し、次に取り組む作業とコマンドを案内します。完了済みの工程や進行中のタスク、任意の作業も整理するスキルです。

• 開発の節目で次の作業を知りたいとき
• 前回の作業から再開したいとき
• 未完了タスクの優先順を確認したいとき

Use when an n8n-mcp account targets more than one n8n instance — i.e. the `n8n_instances` tool is available, the user mentions multiple n8n instances or environments (prod vs staging, several teams or clients), a workflow / datatable / credential / execution call returns an unexpected NOT_FOUND or reads data you don't recognize, or a credential create/update/delete is refused with an `INSTANCE_AMBIGUOUS` error. Covers choosing and switching which instance this MCP session targets, verifying the target before high-stakes work — credential writes above all — and recovering from misroutes and ambiguous-write fail-closes. Always consult this skill before operating on a specific instance, before any credential create/update/delete on a multi-instance account, or when a call hits the wrong/empty data or an `INSTANCE_AMBIGUOUS` error.

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 n8n AI agents the right way. Use when building or editing any @n8n/n8n-nodes-langchain.* AI node — an AI Agent, LLM chain, Text Classifier, or Information Extractor — and whenever the user mentions AI agents, LLM with tools, tool calling, $fromAI, system prompts, agent memory, sessionId, structured/JSON output, output parser, RAG, vector store, a chat assistant/bot, or human-in-the-loop review. Covers Agent-vs-chain-vs-classifier choice, the model/memory/tools/outputParser slots, tool names/descriptions as prompt, structured output with autoFix, memory, RAG, human review, and chat topologies.

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。

Inspects Filestore capacity and utilization on Google Cloud, evaluates storage scaling rules, and performs capacity autoscaling (scale UP for low free space or scale DOWN for cost optimization). Use when monitoring Filestore instance headroom, resizing instance shares, configuring automated growth/shrink thresholds (custom thresholds apply globally across projects in session memory), or preventing out-of-space outages. Don't use for Cloud Storage (GCS) buckets, Persistent Disk block storage, or NetApp Volumes.

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。

Provides guidance and instructions on managing remote devices on Developer Device Platform (DDP). Use when reserving remote Android devices, establishing connection tunnels, checking session status, or extending/cancelling leases. Don't use for iOS or local device/hardware inquiries.

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 a Gemini LiveAPI client service class in the user's chosen programming language. Use when the user wants to build, scaffold, or integrate a client that connects to the Gemini Enterprise LiveAPI websocket endpoint, handles session setup/resumption, bearer token refresh, and sending/receiving `ClientMessage`/`ServerMessage` protos. Don't use for general (non-live, non-bidirectional) Gemini API usage such as one-shot `generateContent`, embeddings, image/video generation, or fine-tuning — use the `gemini-api` skill for those.

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 project's episodic memory: a timestamped ledger of rules paid for with real outages and near-misses, one entry per incident. Load WHENEVER you write or review a DB migration or schema change, touch deploy/release workflows (.github/workflows/deploy-*, promote.yml, vercel config), plan a promote/release, respond to a prod incident, or when another skill references a learning. ALSO load after resolving any incident or near-miss: it must leave a new ledger entry in the same session.

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。

Weekly reusable-session ticket-to-KB loop. Reads recently resolved Plain threads, clusters them into recurring topics, cross-references {{kb_path}} of {{kb_repo}} and a durable ledger to find topics with real volume and no article, drafts the top gaps from the actual resolutions, and opens a PR only — never publishing or merging.

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。

Stage and commit ONLY the work done in this session, on the CURRENT branch — no new branch, no PR, no push. Load whenever the user says 'commit this', 'commit-dis', 'git add commit what we did', 'commit dis', 'save my work', or otherwise asks to commit the changes from the current thread. Enforces: stay on the already-checked-out branch, never overcommit unrelated 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。

Drive Anthropic's Claude Code CLI (`claude -p`) as a non-interactive coding sub-agent from inside Codex. Use when you want to delegate a coding/analysis/refactor task to Claude, get a second opinion / adversarial review from another model, hand off long-context planning, or fan out parallel agents. Covers the exact `claude -p` flags, permission modes, output capture, JSON/stream-json modes, session resume, parallel fan-out, and the mandatory "delegate → capture → independently verify, never trust the self-report" supervision loop.

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 OpenAI's Codex CLI (`codex exec`) as a non-interactive coding sub-agent from inside Claude Code. Load WHENEVER you want to delegate a coding/analysis/refactor task to Codex, get a second opinion / adversarial review from another model, fan out parallel agents across files or worktrees, or run a long mechanical job while you stay the planner. Covers the exact `codex exec` flags, sandbox tiers, output capture, JSON/schema modes, session resume, parallel fan-out, and the mandatory "delegate → capture → independently verify, never trust the self-report" supervision loop.

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。

Fresh-session RFP and proposal-questionnaire response for {{projectName}}. Parses a new inbound RFP from {{rfp_label}} in Gmail and its attached document in Google Drive, matches each question to our vetted past-answers library and product docs, drafts the full response in a new Google Doc inside {{drafts_folder}}, flags anything it can't answer confidently, and leaves an unsent Gmail draft linking it — holding the completed response for a human to review and submit.

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。

Daily fresh-session workflow that reads the Notion content calendar for content, launches, and announcements landing within the lookahead window, drafts platform-appropriate social posts for each one, and holds the batch with the scheduled date in the Slack approval channel. Never posts to any social account.

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。

Weekly reusable-session feature-flag cleanup for {{target_repo}}. Inventories every feature flag, classifies each as fully rolled out, long dead, partial rollout, or active experiment, removes the flag and the dead branch it guards on an isolated branch when the suite is green, and opens a PR — never touching a flag still mid-rollout.

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。

Daily reusable-session flaky-test triage for {{target_repo}}. Pulls CI run history from GitHub, scores each test's non-determinism against a persistent per-test ledger, and once a test reaches {{quarantine_threshold}} opens a quarantine PR (skip + reason, never delete) plus a running tracking issue, and posts a summary to {{alert_channel}}. Never merges.

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。

Persistent-session, per-sweep QA runbook for {{target_repo}}. Discovers PRs since the last check, then for each one checks out the branch, runs the full verification suite, deploys the change to the test environment, exercises it through the edge, and posts a pass/fail result as a GitHub check and comment. Test environment only — no production access, no merge.

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。

Fresh-session security questionnaire response for {{projectName}}. Parses a new inbound questionnaire from {{questionnaire_label}} in Gmail, matches each question to our vetted knowledge base of approved answers and policies, drafts responses in the vendor's own format (SIG, CAIQ, or a custom spreadsheet), flags anything it can't answer confidently, and posts the completed draft to {{security_channel}} — holding it for security to review before it goes back to the prospect.

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 Kortix connectors to reach external systems from a session, an App, a Convex backend, or an external program. Use the `kortix connectors` CLI for agent work, `@kortix/sdk` for durable TypeScript workflows and for App, backend, and script code, and the hosted Kortix MCP server (`<api>/v1/mcp`) for an MCP client outside Kortix. Load this skill to inspect, add, connect, or call external tools without exposing third-party credentials to the sandbox, an App, or a backend.

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。