“aso”的搜索结果

Guided setup of Exasol Personal — a free Exasol database running locally on a Mac or deployed to your own AWS, Azure, Exoscale, or STACKIT account. Covers picking the right deployment flavor, the `exasol` launcher CLI (`exasol install <preset>`, `exasol connect`, `exasol info`, `exasol deployments list`, `exasol destroy`), the `local`, `aws`, `azure`, `exoscale`, and `stackit` presets, and following the official exasol/exasol-personal instructions.

中文简介正在准备中。当前显示原文说明。

Send proofs, planning questions, or difficult debugging tasks to DeepSeek's reasoning model. Receive the final answer and model-provided reasoning text in separate fields, with token usage reported for reviewing responses and costs.

中文简介正在准备中。当前显示英语简介。

• Requesting a mathematical proof
• Planning work that requires several reasoning steps
• Investigating root causes of difficult bugs

Tested reasoning approaches for Claude prompts — 18 variants across 6 categories (Analytical, Strategic, Creative, Technical, Research, Comparative). Use when the user wants a specific reasoning template — retrieving, reviewing, customizing, or combining reasoning instructions for a prompt. Trigger on: "give me the Root Cause Diagnosis approach," "show me the reasoning template for," "I need the Evidence Synthesis method," "show me analytical reasoning options," "combine reasoning approaches for," "show me all reasoning variants." Also use when a prompt produces shallow output and the fix is a reasoning upgrade. Provides 18 tested approaches for analytical, strategic, creative, technical, research, and comparison tasks. If the user is unsure which reasoning method fits, use rootnode-block-selection first if available. Do NOT use for evaluating existing prompts — use rootnode-prompt-validation if available. Do NOT use for project-level audits — use rootnode-project-audit if available.

中文简介正在准备中。当前显示原文说明。

Single entry point that routes any ASO, App Store, Google Play, app marketing, paid UA, monetization, retention, reviews, ratings, market-intel, or app-analytics question to the correct specialist skill in this library. Use FIRST whenever the user mentions an app, App Store, Play Store, keywords, ranking, downloads, revenue, subscriptions, screenshots, icon, reviews, competitors, charts, in-app events, launch, press, or ads — but the right specialized skill is not obvious. Triggers: "/aso-router", "/aso-skill", "/aso", "aso help", "help me with my app", "I need ASO", "which skill should I use", or any ambiguous app-marketing request. Skip this router only when the user explicitly invokes a specific skill (e.g. /aso-audit, /keyword-research).

中文简介正在准备中。当前显示原文说明。

🇺🇸 ASO & Mobile App Growth Playbook 2026 — Complete App Store Optimization guide. ASO keyword ranking, App Store & Google Play listing optimization, app cold start, UGC creator operations, TikTok/Instagram/YouTube Shorts marketing, AI-matrix content scaling, mobile user acquisition. 🇨🇳 ASO 增长与 App 冷启动权威指南 — 从应用商店优化到 UGC 运营、多平台内容策略、AI 辅助内容创作的完整实操手册。 🇯🇵 ASO＆アプリコールドスタート成長ガイド — App Store最適化からUGC運営、マルチプラットフォーム戦略、AIマトリックスまで。 🇰🇷 ASO 및 앱 콜드 스타트 성장 플레이북 — 앱스토어 최적화부터 UGC 운영, 멀티플랫폼 전략, AI 매트릭스까지. Triggers: "ASO" | "App Store Optimization" | "ASO keywords" | "App Store ranking" | "Google Play optimization" | "app cold start" | "app launch" | "mobile app growth" | "user acquisition" | "UA" | "UGC creator" | "TikTok marketing" | "Instagram Reels" | "YouTube Shorts" | "creator matrix" | "app growth" | "应用商店优化" | "App冷启动" | "UGC运营" | "矩阵号"

中文简介正在准备中。当前显示原文说明。

App Store / Google Play のメタデータ最適化（ASO）を、4つの専門エージェントチームで実行するスキル。 キーワード調査、宣伝テキスト作成、競合分析、多言語ローカライゼーションの4観点から App Store 向けテキスト一式（タイトル、サブタイトル、キーワード、説明文、宣伝テキスト、What's New）を 生成し、最終レポート(MD)を出力する。多言語対応（日本語・英語+他言語）。 Use when: App Store の説明文を書きたい、ASO対策したい、キーワード選定したい、 宣伝文章を作りたい、App Store テキストを多言語化したい、What's New を書きたい。 Triggers: "ASO", "App Store", "宣伝文", "説明文", "キーワード", "サブタイトル", "What's New", "promotional text", "app description", "keyword optimization", "ストア掲載", "メタデータ", "アプリ紹介文", "Google Play", "多言語ASO"

中文简介正在准备中。当前显示原文说明。

Build agent memory with ReasoningBank and AgentDB. Record actions and outcomes, retrieve similar experiences, assess results, and consolidate memories into reusable patterns so agents can draw on past work when making decisions.

中文简介正在准备中。当前显示英语简介。

• Build agent memory that reuses past experiences
• Record and assess sequences of agent actions
• Consolidate similar experiences into reusable patterns

Build agent memory with ReasoningBank and AgentDB. Record actions and outcomes, retrieve similar experiences, assess results, and consolidate memories into reusable patterns so agents can draw on past work when making decisions.

中文简介正在准备中。当前显示英语简介。

• Build agent memory that reuses past experiences
• Record and assess sequences of agent actions
• Consolidate similar experiences into reusable patterns

Use Reasonix to build or improve a Python command-line interface for existing software. The workflow covers source analysis, interactive commands, JSON output, tests, documentation, and installation checks using the software’s own backend where possible.

中文简介正在准备中。当前显示英语简介。

• Build command-line access to a GUI application
• Add missing features to an existing command-line interface
• Test commands against the actual software backend

Reconstruct activity on a compromised computer by combining file timestamps, event logs, browser history, and other evidence into one timeline. Extract and filter events with Plaso, then review and annotate them collaboratively in Timesketch.

中文简介正在准备中。当前显示英语简介。

• Reconstructing the sequence of a computer compromise
• Comparing events across logs and file records
• Investigating timestamp changes and cleared logs

Work with BioReason-Pro predictions and reasoning traces for protein function. Use when: comparing BioReason outputs against curated reviews, converting web exports to YAML, reviewing reasoning trace quality, or running the SFT/RL comparison. Triggers: "bioreason", "GO-GPT predictions", "reasoning trace review", "bioreason comparison", "SFT vs RL".

中文简介正在准备中。当前显示原文说明。

Exasol database interaction via the exapump CLI and Exasol SQL. Covers SQL queries and DML/DDL such as `SELECT`, `INSERT`, `UPDATE`, `DELETE`, `MERGE`, `CREATE TABLE`, `ALTER TABLE`, and `DROP TABLE`, `CREATE CONNECTION` connection objects without import or export intent, schema inspection, table design, `exapump sql` and `exapump profile`, query profiling, analytics, and Exasol-specific SQL behavior outside exasol-import and exasol-export.

中文简介正在准备中。当前显示原文说明。

Inspect Muse Code’s saved settings and defaults, then make targeted changes when explicitly requested. Explain reasoning and display options while distinguishing persistent configuration from the settings currently active in a running session.

中文简介正在准备中。当前显示英语简介。

• Check saved settings and defaults
• Change the saved reasoning effort
• Adjust reasoning summaries and output detail

Build a shared incident timeline in Timesketch from endpoint, server, and cloud logs. Search events, add tags and investigator notes, reconstruct the attack sequence, and organize findings into a story for incident reporting.

中文简介正在准备中。当前显示英语简介。

• Reconstructing the sequence of an incident
• Reviewing evidence with multiple analysts
• Combining Plaso output and other logs

When the user wants to create, plan, or optimize App Store In-App Events — the event cards that appear on the Today tab, search results, and your product page. Use when the user mentions "in-app event", "App Store event", "event card", "Today tab", "live event", "challenge", "game event", "seasonal event card", or wants visibility beyond organic search. For general ASO, see aso-audit. For seasonal keyword strategy, see seasonal-aso.

中文简介正在准备中。当前显示原文说明。

Top-level router for Exasol work. Use for any Exasol database, exapump, SQL, BucketFS, extension, integration, UDF, Script Language Container, or Exasol Personal setup task, then route to the narrowest specialized Exasol skill.

中文简介正在准备中。当前显示原文说明。

Build AI agents that retain conversation history, user preferences, and useful interaction patterns with AgentDB. The skill covers persistent storage, meaning memories survive between sessions, plus retrieval, context management, and ReasoningBank integration.

中文简介正在准备中。当前显示英语简介。

• Add conversation history to a chat system
• Remember user preferences across sessions
• Reuse patterns from successful interactions

Build AI agents that retain conversation history, user preferences, and useful interaction patterns with AgentDB. The skill covers persistent storage, meaning memories survive between sessions, plus retrieval, context management, and ReasoningBank integration.

中文简介正在准备中。当前显示英语简介。

• Add conversation history to a chat system
• Remember user preferences across sessions
• Reuse patterns from successful interactions

When the user wants to optimize their App Store listing for seasonal events, holidays, or trending moments — including keyword opportunities, metadata updates, screenshot theming, and timing strategy. Use when the user mentions "seasonal", "holiday", "Christmas", "New Year", "Valentine's Day", "summer", "back to school", "seasonal keywords", "trending now", "limited time", or wants to capitalize on a calendar event. For general keyword research, see keyword-research. For full metadata rewrites, see metadata-optimization.

中文简介正在准备中。当前显示原文说明。

Meta-cognitive reasoning specialist for evidence-based analysis, hypothesis testing, and cognitive failure prevention. Use when conducting reviews, making assessments, debugging complex issues, or any task requiring rigorous analytical reasoning. Prevents premature conclusions, assumption-based errors, and pattern matching without verification.

中文简介正在准备中。当前显示原文说明。

Use when a task needs the judgment of a Brickmason/Blockmason — selecting mortar type for a load-bearing vs. veneer application, sizing and placing control or expansion joints, specifying veneer-tie spacing and cavity-wall drainage/weep-hole layout, applying cold-weather masonry protection thresholds, or diagnosing a moisture or cracking failure in existing masonry.

中文简介正在准备中。当前显示原文说明。

When the user wants to create, plan, or optimize App Store In-App Events — the event cards that appear on the Today tab, search results, and your product page. Use when the user mentions "in-app event", "App Store event", "event card", "Today tab", "live event", "challenge", "game event", "seasonal event card", or wants visibility beyond organic search. For general ASO, see aso-audit. For seasonal keyword strategy, see seasonal-aso.

中文简介正在准备中。当前显示原文说明。

Complete guide for TUnit advanced applications. Use when using TUnit for data-driven testing, dependency injection, or integration testing. Covers MethodDataSource, ClassDataSource, Matrix Tests, Properties filtering. Includes Retry/Timeout control, WebApplicationFactory integration, Testcontainers multi-service orchestration. Keywords: TUnit advanced, TUnit advanced, MethodDataSource, ClassDataSource, Matrix Tests, MatrixDataSource, MicrosoftDependencyInjectionDataSource, Property, Retry, Timeout, data-driven testing, test filtering, WebApplicationFactory TUnit, multi-container orchestration

中文简介正在准备中。当前显示原文说明。

Retrieve compacted ReasoningBank context for cost-analysis queries and summarize retrieved memories, reported token savings, cache hit rate, and package availability. The savings figure is an estimate from the integration, not a measured comparison against a baseline.

中文简介正在准备中。当前显示英语简介。

• Retrieve compacted context for a cost-analysis query
• Review retrieved memory counts and cache hit rate
• Inspect reported token savings and their limitations