productivity▌

Persistent knowledge capture for insights, decisions, and procedures that span multiple agent sessions. \n \n Store decisions with rationale, debugging lessons, repeatable workflows, and durable preferences as searchable memories \n Distinguish between new insights (use add ) and refinements to existing memories (use update ) to avoid duplication \n Design memories as atomic, standalone entries with clear titles that remain useful across future sessions \n Ideal for preserving incident learnings

Diagnose and fix a Playwright test that fails or passes intermittently using a systematic taxonomy.

Set up a production-ready Playwright testing environment. Detect the framework, generate config, folder structure, example test, and CI workflow.

在开始联网操作前，先检查 CDP 模式可用性：

Linear issue management with workflows for retrieving, updating, and commenting on LOBE-xxx issues. \n \n Retrieve issue details, check for sub-issues, and update status using dedicated MCP tools before and after work \n Automatically link PRs to Linear issues using magic keywords (Fixes/Closes/Resolves LOBE-xxx) in PR body \n Add completion comments to all referenced issues immediately after PR creation with a standardized format summarizing changes, files modified, and PR reference \n Create n

Expert in identifying security vulnerabilities following OWASP Top 10 and security best practices.

$22

Session store integration for tracking recently accessed topics, resources, and pages. \n \n Three initialization hooks ( useInitRecentTopic , useInitRecentResource , useInitRecentPage ) load recent data into session store at app startup \n Read recent data via selectors ( recentSelectors.recentTopics , etc.) or hook return values; selectors are recommended for multi-component access \n Built-in features include auto login detection, data caching, SWR-based auto-refresh on focus, and full TypeSc

Search your personal knowledge base to surface relevant past insights, decisions, and solutions. \n \n Proactively searches durable knowledge and conversation history when context suggests prior work would improve the response \n Distinguishes between memory searches ( nmem m search ) for stored breakthroughs and thread searches ( nmem t search ) for exact session history \n Recognizes trigger patterns: user references to prior fixes, resumed features, debugging similarities, requests for ration

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