ORM 工具

Skills for querying Gene Ontology annotation databases in DuckDB format. Use this for queries about GO annotations, genes, terms, evidence codes, or taxonomic relationships in GO-DB databases (db/*.ddb files). Particularly useful for hierarchical queries using closure tables to find genes annotated to terms and their descendants.

Performs comprehensive analysis of Claude Code sessions, examining git history, conversation logs, code changes, and gathering user feedback to generate actionable retrospective reports with insights for continuous improvement.

Firebase Authentication specialist covering Google ecosystem, social auth, phone auth, and mobile-first patterns. Use when building Firebase-backed or Google ecosystem apps.

Monitor deployed infrastructure health and performance - check resource status,query CloudWatch metrics (CPU, memory, requests, errors), analyze performancetrends, track SLI/SLO metrics, detect anomalies, generate health reports withresource status summaries, identify degraded services, provide performanceoptimization recommendations.

Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation

Manages GitHub Projects V2 items and custom fields using GitHub CLI commands. Use when adding issues/PRs to projects, updating Status (Backlog/Todo/Doing/Done), Value (Essential/Useful/Nice-to-have), or Effort (Light/Moderate/Heavy) fields, querying project data, or performing bulk operations.

Use this skill for ANY interaction with external issue tracking and project management tools (Linear, Jira, GitHub Issues, etc.). This includes:- Reading, creating, or updating issues in Linear/Jira/GitHub- Querying project boards, backlogs, or sprints- Updating issue statuses, assignees, or labels- Fetching milestones, cycles, or sprint information- Creating or managing projects- Any API call to Linear, Jira, or similar toolsTrigger phrases: "update Linear", "check Linear", "create issue", "my tickets", "project board", "backlog", "sprint", "milestone", "assign to me", "move to done", "what's in progress"

Comprehensive performance specialist covering analysis, optimization, load testing, and framework-specific performance. Use when identifying bottlenecks, optimizing code, conducting load tests, analyzing Core Web Vitals, fixing memory leaks, or improving application performance across all layers (application, database, frontend). Includes React-specific optimization patterns.

Detects and fixes N+1 query problems and enforces query optimization. This skill should be used when working with Django QuerySets to ensure select_related, prefetch_related, and order_by are properly applied for optimal database performance.

Enforces Head Shakers Drizzle ORM coding conventions when creating or modifying database queries, schemas, and migrations. This skill ensures consistent patterns for query structure, type safety, permission filtering, pagination, resilience, and database operations.

Master performance management, goal-setting, OKRs, reviews, feedback, and metrics for engineering teams

Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.

Systematic CSV import process - discover structure, design schema, standardize formats, import to database, detect quality issues (component skill for DataPeeker analysis sessions)

Deep performance analysis for Rails 8 applications focusing on N+1 queries, database indexing, and caching strategies. Use when investigating slow endpoints, detecting N+1 queries, optimizing database indexes, or reviewing caching before deployment.

Enforces Head Shakers Zod validation schema conventions when creating or modifying validation schemas. This skill ensures consistent patterns for drizzle-zod integration, custom zod utilities, schema composition, type exports, and form/action integration.

Build agentic AI applications with OpenAI's Responses API - the stateful successor to Chat Completions. Preserves reasoning across turns for 5% better multi-turn performance and 40-80% improved cache utilization.Use when: building AI agents with persistent reasoning, integrating MCP servers for external tools, using built-in Code Interpreter/File Search/Web Search, managing stateful conversations, implementing background processing for long tasks, or migrating from Chat Completions to gain polymorphic outputs and server-side tools.

List executions for a sandbox. Requires authentication. Use for Agentuity cloud platform operations

Build web components using Custom Elements v1 API with Declarative Shadow DOM, attribute-driven state, handleEvent pattern, and zero DOM selection. Use when creating custom elements, extending built-in HTML elements, or implementing component-based architecture. NO querySelector, NO innerHTML, NO external libraries - pure web platform APIs only.

Create Express.js API endpoints for IntelliFill following established patterns (Prisma, Supabase auth, Joi validation, Bull queues). Use when creating new API routes, services, or middleware.

Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.