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Connect and manage Elementor MCP servers as "MCP Apps" on NV oOS assistants — official Elementor MCP (application passwords, permission inheritance, enable/revoke flows), third-party Elementor MCP plugins, the Pro MCP Apps metabox/slash-command/REST surfaces, the Remote Sites "MCP Server" connection type with assistant connection_ref references, auth-type mapping (basic vs header vs oauth), the host allowlist (Security Center setting, constant, filter), tool discovery/bridging into chat, and troubleshooting (allowlist 403s, restricted hosts, protocol fallback, negative discovery cache, same-site in-process bridge, missing connection_ref). Use when connecting an assistant to Elementor MCP, creating a Remote Sites MCP Server connection, using /mcp-app, fixing Test Connection or Discover Tools failures, allowlisting an Elementor host, or debugging bridged elementor_* tools missing from chat.

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Manage NV oOS Pro Schedules — create, update, delete, list, dry-run, view run history, and plan schedules from workflows. Covers all 7 Pro Schedule Manager MCP tools with usage patterns, cross-references, and operational troubleshooting. Use when creating recurring tasks, debugging schedule failures, pausing vs deleting schedules, converting Action Scheduler jobs to managed schedules, or bridging workflow outputs to timed execution.

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Understand audience demographics, preferences, behavior patterns, and engagement quality across Facebook, Instagram, YouTube, and TikTok.

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 the user asks to "build a win-back campaign", "re-engage lapsed subscribers", "run a re-permission / re-consent sweep", or "sunset my dead list"; produces a closed-loop reactivation program — a lapsed-cohort definition, a staged offer ladder, a re-consent (re-permission) capture step, and a sunset-confirm / suppression rule. Owns none of the SEND-N sub-item notes: engagement-decay / sunset is email-sequence-designer's and preference-center / frequency options is preference-frequency-manager's — this skill references those notes, it does not re-emit them. Not for the general lifecycle flows (welcome/cart/post-purchase) — use email-sequence-designer; not for the preference-center / opt-down ladder — use preference-frequency-manager; not for the consent record itself — use consent-registry; not for computing EQS or the N1 veto — use email-quality-auditor. 流失召回/重新授权/沉默用户清理

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 the user asks to "build the norm card for this platform", "what are the char limits and visible-fold cutoffs here", "is the LinkedIn link-in-first-comment thing documented or folklore", or "which of our platform cards are stale"; maintains the dated, versioned per-platform norm cards in the references/platforms/ pack — char limits, visible-fold cutoffs, hashtag norms, format/aspect specs, link and first-comment placement, disclosure-label mechanics, algorithm emphases (e.g. 小红书 search+saves weighting) — every row labeled platform-documented (official doc, Measured) or Estimated-folklore (named source) with last-verified and review-by dates, and any card past its review date flagged stale rather than trusted. Extends the single pack in place; never forks a second one. Not for picking which channels to run — use channel-portfolio-planner. 平台规范卡/字符限制/折叠线/话题标签/算法侧重/过期标记

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Select a current video model and endpoint against duration, references, motion, audio, ratio, quality, cost, and continuity requirements using live schemas.

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。

Create a non-explicit romantic scene from authorized adult references with clear consent, identity boundaries, and synthetic-media labeling.

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。

Apply when sequencing an addition, refactor, or rewrite. Remove dead weight, redundant validators, and stub references first, then build on the simpler base.

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。

Bootstrap an AI-agent skill from a TypeScript codebase by running the deterministic skillit generate/audit loop and enriching repo source (JSDoc, README, config-type properties, MCP tool annotations, examples, package.json) until the skill reaches its grade target. Use for cli, typedoc, config, or mcp (build-mode) projects; never edit SKILL.md/references directly.

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Local database and persistence selection for Flutter including SharedPreferences, SecureStorage, Hive, and Drift. Use when implementing offline storage, encrypted data persistence, or choosing between key-value and relational local databases.

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Small-business bookkeeping skills for converting financial evidence into accountant-reviewable outputs, including setup/context, receipt processing, expense categorization, bank reconciliation, tax preparation, monthly close, jurisdiction-aware tax references, plus specialized skills for home office, vehicle, meals, depreciation, 1099 contractors, and estimated taxes. Trigger on "help me with my bookkeeping", "set up my bookkeeping", "bookkeeping context", "chart of accounts", "process my receipts", "categorize expenses", "reconcile my bank statement", "get my books ready for taxes", "close the month", "organize my finances".

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You are a documentation expert specializing in creating comprehensive, maintainable documentation from code. Generate API docs, architecture diagrams, user guides, and technical references using AI...

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Build applications using Azure App Configuration SDK for JavaScript (@azure/app-configuration). Use when working with configuration settings, feature flags, Key Vault references, dynamic refresh, o...

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。

Understand audience demographics, preferences, behavior patterns, and engagement quality across Facebook, Instagram, YouTube, and TikTok.

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。

Create new CFSA Antigravity skills following the kit's skill format. Handles brainstorming, SKILL.md generation, references, and MANIFEST.md registration.

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。

Pre-scan decision types, collect downstream references, classify contradictions, and write propagation scan report

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。

Context-aware remapping of stale parent shard references to new sub-shard targets after shard split operations

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 this skill when working on camera, gallery, file pick/upload/download, file preview, sharing, or filesystem-backed media. For Preferences keys, use mobile-local-data.

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。

OpenClaw API gateway proxy for authenticated SaaS calls (100+ services in references/SERVICES.md). Use ONLY when making an HTTP request to a third-party service that requires the gateway's stored credentials. NOT for direct API calls with bearer tokens already in scope, NOT for monday.com (use monday-for-agents), NOT for WhatsApp (use heleni-whatsapp). Triggers: "call the X API", "fetch from <service>", "send to Slack via gateway", "use the gateway for".

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Use when working with Courier — courier notification orchestration platform management covering messages, templates, brands, users, and delivery analytics. Use when monitoring notification delivery, analyzing template performance, reviewing delivery logs, managing notification preferences, or troubleshooting Courier notification issues.

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 the user references past work or you suspect cross-session context exists.

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。

Autonomously improve a real artifact (code, training recipe, agent harness, data pipeline, prompt) against an objective and an evaluator, using Hypothesis Tree Refinement (HTR) from the Arbor paper. Use this whenever someone wants to iteratively optimize something over many experiments without overfitting — e.g. "get my model's eval score up", "improve this agent/harness", "tune this pipeline", "beat the baseline on this benchmark", "run a search over approaches and keep the best", "do an MLE-bench / Kaggle-style optimization", or any long-horizon "make this artifact better and don't just memorize the dev set" task. Trigger it even when the user doesn't say "Arbor" or "hypothesis tree" but describes repeated experiment-and-evaluate loops, branching exploration of competing ideas, or worries about a dev/test gap. Runs Claude itself as the coordinator with subagent executors in isolated git worktrees; for the standalone `arbor` CLI tool see references/arbor-upstream.md.

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How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval. Use this skill whenever the user mentions Adaptyv, Foundry API, protein binding assays, protein screening experiments, BLI/SPR assays, thermostability assays, or wants to submit protein sequences for experimental characterization. Also trigger when code imports `adaptyv`, `adaptyv_sdk`, or `FoundryClient`, or references `foundry-api-public.adaptyvbio.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。

Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when the active client should create a new image, transform an existing image, or derive visual variants from references, and route through only the image tool or approved API actually exposed by that host.

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。