convex-agents-workflows
Orchestrates multi-step agent operations with durable execution, automatic retries, and recovery from failures. Use this for complex workflows that need to survive server restarts or coordinate multiple agents.
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Orchestrates multi-step agent operations with durable execution, automatic retries, and recovery from failures. Use this for complex workflows that need to survive server restarts or coordinate multiple agents.
This skill should be used when working with Convex actions, HTTP endpoints, validators, schemas, environment variables, scheduling, file storage, and TypeScript patterns. It provides comprehensive guidelines fo...
Manages conversation threads to group messages into linear histories. Use this when organizing multi-turn conversations, managing per-user history, and handling thread metadata.
This skill should be used when implementing Convex mutation functions. It provides comprehensive guidelines for defining, registering, calling, and scheduling mutations, including database operations, transacti...
Add comprehensive tests for Python code with pytest
Perform a thorough code review of recent changes
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or to...
Knowledge and utilities for creating animated GIFs optimized for Slack. Provides constraints, validation tools, and animation concepts. Use when users request animated GIFs for Slack like "make me a GIF of X do...
This skill should be used when implementing Convex query functions. It provides comprehensive guidelines for defining, registering, calling, and optimizing queries, including pagination, full text search, and i...
Create, validate, and refine Claude Code plugin hooks for automating workflows. Use when building new hooks from scratch, validating existing hooks against best practices, or improving hook quality for producti...
Context-Driven Development methodology overview. Shows available Draft commands and guides you to the right workflow.
Sets up a web UI for testing, debugging, and developing agents without code. Use this to manually test agents, browse conversation history, and verify behavior in real-time.
Implements Retrieval-Augmented Generation (RAG) patterns to enhance agents with custom knowledge bases. Use this when agents need to search through documents, retrieve context from a knowledge base, or ground r...
Customizes what information the LLM receives for each generation. Use this to control message history, implement RAG context injection, search across threads, and provide custom context.
Sets up and configures Convex agents for chat-based AI interactions. Use this when initializing agent instances, creating conversation threads, and generating basic text or structured responses from LLMs. Essen...
Sends, saves, retrieves, and manages messages within agent conversations. Use this when handling user messages, displaying conversation history, and working with UIMessages for rich rendering.
Create, validate, and refine Claude Code subagents for reliable delegation. Use when building new subagents, validating existing ones, improving quality, scoping tool access, configuring permission modes, or se...
Execute tasks from the current track's plan using TDD workflow. Implements tasks phase by phase with progress tracking.
Start a new feature or bug track. Generates spec.md and plan.md with phased tasks for Context-Driven Development.
Display current progress of Draft tracks and active tasks. Shows phases, completion percentages, and blocked items.
Git-aware revert that understands Draft tracks, phases, and tasks. Safely undo work at task, phase, or track level.
Execute tracer bullet development - implement tasks with validation, code review gates, demos, and learning propagation.
Create a well-formatted git commit following best practices
Generate syntactically correct Mermaid diagrams for technical documentation
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.