承認済みの限定アルファ組織で、既存のSlackアプリと個人接続を使い、OpenWorkの設定・メンバー連携からDMやメンションへの応答確認まで進めるスキル。
- Slackに@openworkを導入したいとき
- メンバー個人のアカウント連携
- 利用チャンネルと返信公開範囲の設定
1.8万 件 ・ 関連度順
概要と使いどころ
承認済みの限定アルファ組織で、既存のSlackアプリと個人接続を使い、OpenWorkの設定・メンバー連携からDMやメンションへの応答確認まで進めるスキル。
ローカルの障害再現サーバーとテスト用接続先を使い、モデルの接続拒否やHTTPエラー、応答停止・途中切断を再現して、エラー表示や再試行を検証するスキル。
OpenworkのE2EテストをローカルやDaytonaで実行し、対象コミットと実行環境を確かめながら、失敗・スキップの調査と結果報告を進めるスキル。
n8nのAI Agentが呼び出す計算・解析用ツールをJavaScriptやPythonで作ります。入力形式と文字列の戻り値、名前や説明を整え、呼び出し時のエラー修正も支援します。
n8nのCodeノードで動くPythonコードを作成し、データの変換・集計・検証を支援します。入力データの参照方法、戻り値の形式、標準ライブラリの使い方も扱います。
複数のn8n環境を使う際に、MCPの操作先を確認・切り替える手順を案内します。本番と検証環境の取り違えを防ぐ確認や、認証情報の書き込み拒否、見つからないデータの調査を支援します。
Claude APIを使うアプリ開発を、公式のコード例に沿って支援するスキル。要約、画像分析、文書検索、外部ツール連携や、プロンプト改善の実装方法を扱います。
通信エラーで失敗したコマンドを、proxychains4でプロキシ経由に切り替えて再試行します。接続設定の作成や、再試行も失敗した場合の原因確認も案内します。
AI-Traderで取引情報の配信者を探してフォローし、保有ポジションの新規作成・追加・決済を自動でコピーしながら、購読状況や保有状況を確認するスキル。
NemoClawの導入・設定・運用・トラブル対応に必要な公式資料を探し、利用環境に合う手順を案内します。参照元を示し、依頼に応じてドキュメント用MCPの設定も扱います。
Streamlines the creation, modification, and management of IAM allow policies (v1) and deny policies (v2). Manages access control across Resource Manager resources (Organization, Folder, Project) and individual resources. Use when creating, updating, listing, or deleting IAM allow policies or deny policies. Don't use for access denial troubleshooting (use iam-helper-for-troubleshooting), temporary privileged access (use iam-helper-for-privileged-access-management), configuring VPC Service Controls, or managing network firewall 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。
Androidアプリの広告SDKを旧GMA SDKからGMA Next-Gen SDKへ移行します。依存関係やAPIの置き換え、初期化と画面更新の修正を支援します。
The per-call runbook for turning a finished sales call's transcript — found in the connected Google Drive folder — into an updated HubSpot deal (or a flagged handoff when no deal matches), filed follow-up tasks in {{linear_team}}, and a drafted recap email — held for the rep's approval before it sends.
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。
Route code, repository, and data/SQL work to isolated Kortix sessions instead of burning your main context on it. Use when asked to implement a feature, fix a bug, make failing tests pass, work a ticket/issue, refactor, navigate or change a codebase, ship a PR, review a pull request, or run SQL/warehouse analysis against a dataset — and when the user wants two agents or parallel reviewers/investigators on the same work. Covers the explore-vs-session routing call, deciding where the code lives (this project's repo vs cloning an external GitHub repo) or where the data lives, finding the repo with gh, spawning sessions in parallel, dual PR reviews, and reporting results back. Triggers: 'implement', 'fix the bug', 'make the tests pass', 'work this ticket', 'refactor this', 'open a PR', 'review this PR', 'run two agents on it', 'query the warehouse', 'analyze this dataset'.
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。
PUA teardown alias for Codex. Codex subcommand mapping for Claude Code /pua:teardown-all style usage; invoke with $pua-teardown-all.
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。
Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search knowledge, what do we know about, archive, harvest, knowledge status, develop note, add to knowledge, ingest, contradictions, knowledge graph, retrieve, mine conversations, distill, weekly digest, cortex digest, context search, prior work, recall, remember, previous sessions, context recovery, what did we do, find session, search history, resume, pick up where we left off, cold start, yesterday's work, last week, the one about. NOT FOR published-content semantic search across blog/newsletter/X/LinkedIn, or one-shot URL/YouTube ingestion via the Arbol harvester 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。
This skill should be used when writing, enhancing, or evaluating the launch prompt for a long-running autonomous agent or a parallel multi-agent orchestration attacking a hard problem: pseudo-formal task briefs that define terms and an exact success predicate linguistically, enumerate non-counting outcomes, set persistence rules with explicit stop and return conditions and effort floors, manage a diverse portfolio of parallel approaches with an approach registry and blocked-route bookkeeping, and gate the return on adversarial audit. Route agent topology and coordination protocols to multi-agent-patterns, runtime control surfaces and loop governance to harness-engineering, evaluator and quality-gate construction to evaluation, judge design to advanced-evaluation, and compaction or memory mechanics to context-compression and memory-systems.
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。
Ambient Memori long-term memory for Claude Code via local Bash. MUST TRIGGER on essentially every non-trivial user turn: run recall before drafting any substantive response, whether or not the user mentioned memory, a prior session, or past work. The default is to check memory first; do not wait to be asked. Always fire before external lookups (WebSearch/WebFetch) and before answering any question about preferences, prior decisions, constraints, project history, status, past work, or any non-trivial coding/research task. Skip only for trivial acknowledgements/closings, purely self-contained turns where prior context cannot possibly help, or when the user explicitly opts out. Use Advanced Augmentation after drafting the final response for every non-trivial turn, as the last memory step. Use recall.summary only for broad session summaries/orientation, compaction after context loss, feedback for memory quality, quota for limits, and signup only when explicitly requested.
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。
KubeSphere extension management Skill. Use when user requests to install, configure, upgrade, uninstall extensions, or query extension info/troubleshoot issues. Includes extension discovery, dependency management, install configuration, version management.
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。
Debug LangChain and LangGraph agents by fetching execution traces from LangSmith Studio. Use when debugging agent behavior, investigating errors, analyzing tool calls, checking memory operations, or examining agent performance. Automatically fetches recent traces and analyzes execution patterns. Requires langsmith-fetch CLI installed.
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。
Coordinate several coding agents in parallel through Superset, each in its own workspace, with follow-ups, progress reads, dependency tracking, and structured results. Use when the user asks to delegate, parallelize, fan out, or split up coding work across agents, workspaces, or hosts, hand work between agents, or monitor workers, including "spin up agents for each of these", "run these in parallel", "what are my workers doing". Not for ordinary single-agent workspace, task, or automation management.
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。
Downloads CARLA so nothing has to be fetched by hand — an official release package for any published version (resolved live from the GitHub releases, with AdditionalMaps), the rolling nightly Dev build, a shallow source checkout of a branch or tag, or the carlasim/carla Docker image. Reports exactly what was obtained and where, plus the environment variables the other skills read. Use when the user asks to "download CARLA", "get CARLA 0.9.16", "install CARLA", "clone the carla repo", "fetch the latest CARLA", or has no CARLA at all yet.
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 security-focused full-stack web applications by implementing integrated frontend and backend components with layered security at every level. Covers the complete stack from database to UI, enforcing auth, input validation, output encoding, and parameterized queries across all layers. Use when implementing features across frontend and backend, building REST APIs with corresponding UI, connecting frontend components to backend endpoints, creating end-to-end data flows from database to UI, or implementing CRUD operations with UI forms. Distinct from frontend-only, backend-only, or API-only skills in that it simultaneously addresses all three perspectives—Frontend, Backend, and Security—within a single implementation workflow. Invoke for full-stack feature work, web app development, authenticated API routes with views, microservices, real-time features, monorepo architecture, or technology selection decisions.
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 local memory for OpenClaw agents. Use when users say: - "install memos" - "install MemOS" - "setup memory" - "add memory plugin" - "openclaw memory" - "memos onboarding" - "memory not working" - "configure memory" - "enable memory" - "upgrade MemOS" - "update memory plugin"
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。