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Found 9,733 Skills
Integrates Amazon Location Service APIs for AWS applications. Use this skill when users want to add maps (interactive MapLibre or static images); geocode addresses to coordinates or reverse geocode coordinates to addresses; calculate routes, travel times, or service areas; find places and businesses through text search, nearby search, or autocomplete suggestions; retrieve detailed place information including hours, contacts, and addresses; monitor geographical boundaries with geofences; or track device locations. Covers authentication, SDK integration, and all Amazon Location Service capabilities.
Official Notion Model Context Protocol Server for workspace interaction.
Perform actions in Linear (read, create, update, search issues, projects, comments, teams, cycles, labels, etc.) by writing and running small Node scripts against the official @linear/sdk TypeScript SDK with a personal API key. Use this when the user wants to do Linear work from the terminal without the Linear MCP server, or asks to list/open/create/update/close Linear issues, leave comments, or query teams, projects, users, or workflow states.
Search issues, merged pull requests, READMEs, and documentation. Use when the question is how a library or API behaves, what an error means, or whether a bug was fixed; prefer this over a general web page.
Answers questions about ThinkingData SDK integration and usage, including the LogBus2 data import tool. Trigger words: 怎么接入 / 如何集成 / SDK / 埋点 / 报错 / 使用方式 / API / LogBus / tracking / integration / how to integrate / data import / データ連携 / インテグレーション / 트래킹 / 연동.
Interactive generation of AE tracking code, LogBus2 configuration, and debug scripts from a tracking plan. Trigger words: 代码埋点、埋点代码、tracking code、埋点落地、logbus 配置、AE 上报代码、generate tracking code、insert tracking、トラッキングコード、트래킹 코드. Supports independent output mode selection per platform (insert/snippet). Server-side defaults to LoggerConsumer + LogBus2 architecture.
Use when the user needs to search or navigate code with Sourcegraph MCP tools. Provides disciplined search workflows for finding implementations, understanding systems, debugging issues, fixing bugs, and reviewing code.
親イシュー配下のサブイシュー（孫含む）を依存順を保ちつつ worktree で並列に自動実装・push 前 review・PR 作成・CI 監視・マージ可能状態化まで一括自動化。 「イシューツリーを並列実装」「配下のサブイシューをまとめて実装」「ツリー全体を並列で実装して」「イシュー階層を自動開発」で使用。 per-issue 計画立案（Plan: セッション継承モデル）→実装（Implement: sonnet）の分業。push 前 review（Review 通過後にのみ push・PR 作成して CI を 1 回だけ起動）。 外部チェック構成は args の externalChecks で明示（[] で「なし」を確定して不要待機なし・未指定なら自動マージ停止）。 autoMerge: true + externalChecks 明示確定 + repo の auto-merge 許可 + base ブランチの required checks 設定時は、GitHub ネイティブ auto-merge（gh pr merge --auto --squash）を予約しマージまで自動完結する。前提未達は fail-closed で PR をマージ可能状態のまま停止し人間がマージ。並列度（parallel）と依存（dependsOn）で実行順を制御。 単一イシューの実装は implement-issue、PR レビューは implement-review-pr を参照。
Adds and enhances comments and documentation comments in code. Use with requests like 'add comments', 'write comments', 'enhance comments', 'add JSDoc', 'add docstring', 'add documentation comments'. Preserve role boundaries from the package/service perspective, prerequisites and contracts between callers and callees, and context from other files/services in a 'readable on the spot' format. Do not modify the code itself (for implementation changes, use implement-issue). Refer to code-comment-style for detailed rules, create-commit for commit creation, and update-docs for CLAUDE.md synchronization.
Use this skill when users need to perform cross-wiki operations on knowledge content across multiple local LLM wikis (yzr-llm-wiki-management system) — from a global workspace perspective: cross-wiki scanning and indexing (INDEX/STATS), cross-wiki Q&A (routing/synthesis/comparison), cross-wiki cross-referencing and duplicate entity governance, workspace-level health checks (LINT), cross-wiki memory (MEMORY/), and workspace format upgrade. Triggers: "Summarize content about X across all my wikis" / "Compare what wiki A and B say about Y" / "Which wiki should I check for this question" / "Scan my workspace" / "Count the number of pages across all wikis" / "Workspace health check" / "Entity X in wiki A also exists in wiki B, add a link" / "Upgrade workspace". Use this skill whenever you need to read, summarize, compare or govern content across multiple wikis — even if the workspace or skill name is not explicitly mentioned. Not applicable: Operations within a single wiki (use yzr-llm-wiki-management); Single llmw command operations such as workspace/wiki metadata configuration, adding/removing wikis, session start/stop (run llmw directly, see llmw --help, no need to load this skill); Cloud collaborative wikis (Notion / Confluence / Outline, etc.).
Skills to interact with your Dataproc clusters and jobs.
Browser automation for AI agents via inference.sh. Navigate web pages, interact with elements using @e refs, take screenshots, record video. Capabilities: web scraping, form filling, clicking, typing, drag-drop, file upload, JavaScript execution. Use for: web automation, data extraction, testing, agent browsing, research. Triggers: browser, web automation, scrape, navigate, click, fill form, screenshot, browse web, playwright, headless browser, web agent, surf internet, record video