Loading...
Loading...
Found 185 Skills
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Azure Event Hubs SDK for Python streaming. Use for high-throughput event ingestion, producers, consumers, and checkpointing. Triggers: "event hubs", "EventHubProducerClient", "EventHubConsumerClient", "streaming", "partitions".
Use this skill when the user wants to manage remote Sprites from their local machine — listing sprites, executing commands, managing checkpoints, transferring files, controlling network policy, or coordinating work across multiple sprites.
Manage OpenComputer cloud sandboxes. Use when the user wants to create, run commands in, checkpoint, or manage sandbox environments. Auto-invokes when sandboxes, remote environments, or the oc CLI are mentioned.
Orchestrate agile development workflows by invoking commands in sequence with checkpoint-based flow control. This skill should be used when the user asks to 'run the workflow', 'continue working', 'what's next', 'complete the task cycle', 'start my day', 'end the sprint', 'implement the next task', or wants guided step-by-step development assistance. Platform-agnostic git-only workflow without PR integration. Keywords: workflow, orchestrate, agile, task cycle, sprint, daily, implement, review, merge, standup, retrospective, git.
This skill should be used when the user says "save checkpoint", "checkpoint", "continue", "resume", "resume work", "save my progress", "clear checkpoint", or "clear all checkpoints". Saves and resumes named session checkpoints to preserve progress across Claude Code sessions. Tracks accomplishments, failed approaches, and modified files. IMPORTANT: When the user says bare "continue" or "resume" at session start and MEMORY.md lists active checkpoints, always invoke this skill.
This skill should be used when the user asks to "create a plan for replit", "break down tasks", "create development phases", "checkpoint strategy", or needs to convert a project into iterative development phases that Replit Agent can execute step-by-step with checkpoints.
INVOKE THIS SKILL when your LangGraph needs to persist state, remember conversations, travel through history, or configure subgraph checkpointer scoping. Covers checkpointers, thread_id, time travel, Store, and subgraph persistence modes.
Use when you need to execute I2 (Implementation Execution) in the Spec Pack of sdlc-dev, using `{FEATURE_DIR}/implementation/plan.md` as the sole SSOT to implement in batches, run minimal validation, write back audit information, and report at batch checkpoints; stop immediately when encountering blocks or clarification items.
Implements stateful agent graphs using LangGraph. Use when building graphs, adding nodes/edges, defining state schemas, implementing checkpointing, handling interrupts, or creating multi-agent systems with LangGraph.
Reviews LangGraph code for bugs, anti-patterns, and improvements. Use when reviewing code that uses StateGraph, nodes, edges, checkpointing, or other LangGraph features. Catches common mistakes in state management, graph structure, and async patterns.
Capture AI agent sessions in your git workflow. Use for setup, rewinding to checkpoints, exploring session history, and troubleshooting.