1,039 件 ・ 関連度順
概要と使いどころ
AI Personal Assistant network skill for multi-agent PA coordination. Use when: contacting another PA, coordinating with peer agents, scheduling meetings between owners, broadcasting messages to PA groups, or looking up contacts from the local PA directory. Reads contact data from data/pa-directory.json in the workspace.
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 Personal Assistant network skill. Use when: contacting another PA, coordinating with peer agents, scheduling meetings between owners, broadcasting messages, looking up contacts from the local PA directory, or performing any cross-PA task. Reads contact data from data/pa-directory.json in the workspace. Does NOT contain hardcoded contact data — each PA maintains their own directory file.
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。
Set up a monday.com account for an OpenClaw agent and work with monday.com boards, items, and updates via the GraphQL API or MCP server. Use when: creating a monday.com workspace for a PA, connecting the PA to monday.com, querying boards and items, creating or updating items, troubleshooting monday.com API access, self-registering an agent on monday.com via HATCHA agent verification, or integrating with monday.com workflows. Covers GraphQL cookbook, column types, MCP configuration, and HATCHA self-registration. Works with any LLM model.
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。
Step-by-step setup and troubleshooting for connecting an owner's Google Calendar to an OpenClaw agent with read and write access. Use when: setting up calendar access for the first time, fixing read-only access, re-authenticating a broken Google connection, explaining the difference between the owner's Google account and the agent's Google account, how an OpenClaw agent accesses Gmail or Google Workspace, where credentials are stored, how to use the agent inbox, how to give the agent write access to the owner's calendar, or guiding another agent or user through the email or calendar setup model.
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。
Single source of truth for all contacts, PAs, and WhatsApp groups. Use when: looking up a phone number, email, address, PA, group JID, adding/updating a contact, or before sending any WhatsApp message. Reads and writes contact-list.md in the workspace 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。
Use when working with Confluence Deep — deep Confluence management covering spaces, pages, content analytics, permissions, and workspace health. Use when performing deep audits of Confluence usage, analyzing content freshness, reviewing space permissions, or assessing documentation coverage across an Atlassian Confluence instance.
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 working with Bitbucket Pr Reviews — bitbucket pull request review management including default reviewers, merge checks, branch permissions, and build status integration. Use when configuring or automating Bitbucket PR review workflows across repositories and workspaces.
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 working with Baseten — baseten ML deployment platform management covering model inventory, deployment status, autoscaling configuration, inference call history, GPU allocation, environment management, and performance metrics. Use for comprehensive Baseten workspace assessment and ML serving optimization.
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 working with Bazel — bazel build system management. Covers BUILD file analysis, target querying, dependency graphs, remote execution, caching configuration, and build performance profiling. Use when managing Bazel workspaces, debugging build failures, querying targets, or optimizing build performance.
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 working with Atlantis — atlantis pull request automation for Terraform. Covers plan/apply via PR comments, workspace management, project configuration, server status, lock management, and repository configuration. Use when managing Atlantis deployments, debugging PR plan/apply issues, or configuring project workflows.
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 working with Airbyte — airbyte data integration platform management. Covers connection status monitoring, sync job tracking, source and destination health, schema change detection, workspace management, and connector upgrades. Use when checking sync status, investigating job failures, managing Airbyte connections, or auditing data pipeline configurations.
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 working with Azure Monitor — azure Monitor metrics querying, Log Analytics workspace management, alert rule configuration, action groups, and diagnostic settings via Azure CLI.
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。
REQUIRED helper functions (never raw curl), workspace/repo_slug patterns, suggestion block syntax for code review
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 working with Singlestore — singleStore (MemSQL) workspace management, pipeline status, query tuning, memory analysis, and cluster health.
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。
Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.
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。
Notion workspace management via MCP - create databases, pages, comments, and knowledge bases. Use when building Notion documentation, organizing project wikis, or managing Notion content.
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。
Manages MongoDB Atlas Stream Processing (ASP) workflows. Handles workspace provisioning, data source/sink connections, processor lifecycle operations, debugging diagnostics, and tier sizing. Supports Kafka, Atlas clusters, S3, HTTPS, and Lambda integrations for streaming data workloads and event processing. NOT for general MongoDB queries or Atlas cluster management. Requires MongoDB MCP Server with Atlas API credentials.
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 context-fit frontend interfaces with deliberate art direction, accessible interaction, responsive behavior, complete states, and rendered verification. Use when creating or substantially reworking pages, components, product workspaces, dashboards, marketing sites, editorial surfaces, commerce flows, or justified immersive experiences.
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。
Refresh a safe, concise map of this GCI World 2026 workspace before deeper course, assignment, or dataset 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。
Creates devcontainers with Claude Code, language-specific tooling (Python/Node/Rust/Go), and persistent volumes. Use when adding devcontainer support to a project, setting up isolated development environments, or configuring sandboxed Claude Code workspaces.
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。
Azure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines.
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。
Reads Copilot conversation history and extracts executive-ready success stories. Use when the user asks to study prior Copilot sessions, summarize what was done before, mine evidence, or quantify time, cost, risk, and priority alignment from GitHub Copilot history in any workspace or repository.
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。
Survey one surface of tdmcp (artist controls, library/packaging, CLI/DX, AI/LLM, or TouchDesigner depth) for candidate NEW features — inventory what exists, cross-check the roadmap, apply the gap-finding lenses, vet each idea, and emit a structured, novelty- and confidence-labelled candidate list to _workspace/discovery/. Use when a td-surveyor agent is scouting a surface 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。
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。