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Found 6,249 Skills
Design or audit AI-first help centers/knowledge bases/FAQs, including taxonomy, article templates, analytics, and AI support (RAG, chatbot, escalation), using 2025-2026 best practices
Comprehensive guide for Biopython - the premier Python library for computational biology and bioinformatics. Use for DNA/RNA/protein sequence analysis, file I/O (FASTA, FASTQ, GenBank, PDB), sequence alignment, BLAST searches, phylogenetic analysis, structure analysis, and NCBI database access.
When a user asks how long a task will take, requests a time estimate, or before starting any non-trivial coding task, immediately run scripts/estimate_task.py to analyze the codebase scope and provide a data-driven time estimate. Show the estimate breakdown, risk factors, and checkpoint recommendations without asking.
Master of text-based visual communication using ASCII art, Unicode box-drawing, and structured diagram notation. Creates clear, maintainable diagrams for systems, processes, hierarchies, relationships, and psychological structures. Proactively generates diagrams to enhance understanding. Activate on visualization needs, system architecture, process flows, psychological mapping, or when complex concepts would benefit from visual representation. NOT for photo editing, vector graphics, or GUI-based design tools.
System architecture guidance for Python/React full-stack projects. Use during the design phase when making architectural decisions — component boundaries, service layer design, data flow patterns, database schema planning, and technology trade-off analysis. Covers FastAPI layer architecture (Routes/Services/Repositories/Models), React component hierarchy, state management, and cross-cutting concerns (auth, errors, logging). Produces architecture documents and ADRs. Does NOT cover implementation (use python-backend-expert or react-frontend-expert) or API contract design (use api-design-patterns).
Create implementation plans from spec via iterative codebase research and strategic questions. Produces mini-PR plans optimized for iterative development. Use after $spec or when you have clear requirements. Triggers: plan, implementation plan, how to build.
AI-powered comprehensive codebase documentation generator. Analyzes project structure, identifies architecture patterns, creates C4 model diagrams, and generates professional technical documentation. Use when users need to document codebases, understand software architecture, create technical specs, or generate developer guides. Supports all programming languages. Alternative to Litho/deepwiki-rs that uses Claude Code subscription without external API costs.
Guides interactive user input collection using the Zhin Prompt class. Covers text, number, confirm, list, and pick prompts with timeout handling and Schema-based input. Use when a plugin needs to collect input from users in a conversational flow.
Create and manage Dexie/IndexedDB repositories with type-safe interfaces, converters, and standardized CRUD operations. Use when (1) adding entity storage, (2) implementing save/load/delete operations, (3) designing database schema and indexes, (4) converting between database (Db*) and domain types, (5) handling database errors or migrations, (6) using existing repositories (SettingsRepository, WorkoutsRepository, TemplatesRepository, CustomExercisesRepository, BenchmarksRepository, ActiveWorkoutRepository). Triggers include "database", "repository", "save data", "fetch from database", "delete from storage", "database schema", "database table", "indexes", "migration", "persist", "convert workout", "converter", "buildPartialUpdate", "mock repository", "database error", "bulk operations", "import/export", or specific repository names.
Use Android/Kotlin code as the source of truth and implement the equivalent feature in iOS/Swift. Understands the feature behavior, data structures, and logic from Android, then creates idiomatic iOS code that matches the target codebase's existing patterns. Use when porting features from Android to iOS or ensuring platform consistency.
Manage file-based projects using markdown. Create, list, update, and delete issues and milestones stored as markdown files with YAML frontmatter. Use when users want to track tasks, manage projects, create issues, update statuses, or work with milestones. Triggers on "create issue", "list issues", "update status", "track task", "project management", "milestone progress".
Use this skill when creating database schemas or tables for Timescale, TimescaleDB, TigerData, or Tiger Cloud, especially for time-series, IoT, metrics, events, or log data. Use this to improve the performance of any insert-heavy table. **Trigger when user asks to:** - Create or design SQL schemas/tables AND Timescale/TimescaleDB/TigerData/Tiger Cloud is available - Set up hypertables, compression, retention policies, or continuous aggregates - Configure partition columns, segment_by, order_by, or chunk intervals - Optimize time-series database performance or storage - Create tables for sensors, metrics, telemetry, events, or transaction logs **Keywords:** CREATE TABLE, hypertable, Timescale, TimescaleDB, time-series, IoT, metrics, sensor data, compression policy, continuous aggregates, columnstore, retention policy, chunk interval, segment_by, order_by Step-by-step instructions for hypertable creation, column selection, compression policies, retention, continuous aggregates, and indexes.