上記に当てはまらないスキル（1.4万 件）
Use when the user wants to humanize text, make writing sound less like AI, or rewrite content to feel more natural. Triggers on "humanize", "make it sound natural", "too robotic", "sounds like AI", or similar. Works in Hebrew and English. Always output only the rewritten text — no explanations.
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。
Configures autonomous heartbeat and cron-based proactive routines (e.g., morning briefing setup, unanswered-message scan cadence). Invoke when user is SETTING UP or MODIFYING a proactive routine, not when the routine itself fires. Cron crons execute their own logic — they do NOT load this skill. Triggers: "set up proactive check", "configure heartbeat", "add morning briefing", "tune cron cadence".
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。
DEPRECATED — merged into monday-for-agents. See skills/monday-for-agents/SKILL.md.
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。
Turn any markdown into a shareable web page via md.page. Use when the user asks to "share this", "publish this markdown", "create a shareable link", "make this a web page", "send this as a link", "host this", or wants to turn any markdown content into a URL. Also triggers on "publish a report", "share my notes", "create a page", or any request to make content accessible via a link.
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。
Decide where to save any piece of information — monday.com, local file, daily notes, or MEMORY.md. Use this skill before saving anything to ensure the right destination. Prevents local clutter and ensures the owner can access all relevant content in monday.com.
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。
Diagnose and fix WhatsApp connectivity issues for OpenClaw agents. Use when: a PA is not responding, WhatsApp shows connected but messages don't arrive, the agent is online but not replying, or troubleshooting a new agent setup.
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 onboarding guide for setting up a new AI Personal Assistant on OpenClaw. Use when: a new PA is being created, someone asks how to set up an agent, or guiding a user through the full setup process from account creation to first response.
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。
Enforce immediate execution of any commitment made in a reply. Use this skill before finalizing ANY reply that contains a promise to act — phrases like "אדווח", "אעדכן", "אשלח", "אחזור אליך", "I'll send", "I'll report", "I'll follow up", "I'll update". Prevents the agent from saying it will do something and then not doing it.
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。
Turn owner feedback about agent behavior into concrete system changes. Use when the owner says something is off, wants the assistant to improve how it operates, asks for a reflection, or wants a durable fix instead of a one-off apology.
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。
Report AI token usage and estimated costs. Use when: owner asks about costs today/yesterday/this week, per session, or per model. Shows main session, cron jobs, and subagents. Answers: 'how much did today cost?', 'how much was this session?', 'what was last week's spend?'
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。
Multi-tiered memory management (HOT/WARM/COLD) for context compaction. Invoke ONLY for explicit compaction events: post-`/compact` cleanup, MEMORY.md tier promotion, archive batch, or "trim my context". NOT for general recall (use deep-recall) or routine memory writes (use storage-router). Triggers: "compact memory", "promote to durable", "archive old context", "tier this".
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。
Complete WhatsApp management for OpenClaw agents: per-conversation memory (groups + DMs), unanswered message tracking, loop prevention, and multi-PA coordination. Use when: tracking conversation context, recalling past decisions, finding unanswered messages, or preventing echo/duplicate message loops.
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 Blameless — blameless incident management, SLO tracking, retrospectives, and reliability insights. Covers incident lifecycle, blameless retrospective facilitation, follow-up tracking, reliability scorecards, and incident type categorization. Use when managing active incidents, conducting retrospectives, tracking SLO compliance, or analyzing reliability trends in Blameless.
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 Cocoapods — cocoaPods dependency management for iOS/macOS. Covers Podfile configuration, pod publishing, dependency resolution, spec repositories, and pod analysis. Use when managing CocoaPods dependencies, publishing pod specs, resolving version conflicts, or analyzing pod dependency trees.
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 Adyen — adyen payment platform management including merchant accounts, payment methods, terminal configuration, risk management, settlement reports, and webhook notifications. Covers authorization rates, payment method performance, fraud scoring, and payout reconciliation.
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 Auth0 — auth0 identity platform management for tenant configuration, application setup, connection analysis, rule and action review, user management, and log inspection. Covers universal login, social connections, enterprise federation, and Auth0 Actions pipelines. Read this skill before any Auth0 operations — it enforces discovery-first patterns and strict read-only safety 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。
REQUIRED helper functions (never raw curl), project_id patterns, suggestion block syntax with offset notation
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 Dynamodb — amazon DynamoDB table analysis, capacity mode evaluation, GSI/LSI usage, item access patterns, and cost 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 Timescaledb — timescaleDB hypertable analysis, chunk management, continuous aggregates, compression policies, and time-series 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。
Fast vector similarity search at billion scale.
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。
Search arXiv physics, math, and computer science preprints using natural language queries. Powered by Valyu semantic search.
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。
GRN inference from expression via GRNBoost2 (gradient boosting) or GENIE3 (Random Forest). Load matrix, filter by TFs, infer TF-target-importance links, save network. Dask-parallelized to single-cell scale. Core SCENIC component.
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。
Engineering operating model for teams where AI agents generate a large share of implementation output.
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 as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.
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。