Electron Ipc
seanchiuai
Electron-IPC allows secure communication between your AI agent and Electron desktop applications via Inter-Process Communication.
41,128 listings from across the agent ecosystem. None of them have been code-reviewed — check the source before you install.
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9,442 skills matching “agent”
seanchiuai
Electron-IPC allows secure communication between your AI agent and Electron desktop applications via Inter-Process Communication.
michaelboeding
Analyze a codebase to extract its conventions, patterns, and style. Spawns specialized analyzer agents that each focus on one aspect (structure, naming, patterns, testing, frontend). Generates a comprehensive style guide that other skills can reference. Use when starting work on an unfamiliar codebase, or to create explicit documentation of implicit conventions.
cjavdev
Agentlint analyzes your agents for potential issues like incorrect data types or missing fields, ensuring robust and reliable workflows.
ratacat
Automatically generates detailed, structured audit trails of agent actions and decisions for transparency and debugging.
womendefiningai
Helps with UI components, UX design, auditing as part of agent workflows workflows.
doubleslashse
This "Health Checks" skill verifies your AI agent's functionality and performance, ensuring smooth operation and identifying potential issues proactively.
alienzhou
Automatically saves and restores agent state at strategic points, ensuring progress persistence and recovery from errors.
microck
Helps with code generation, image processing as part of agent workflows workflows.
ratacat
Generates new, functional agent skills based on provided descriptions and desired capabilities.
Automates verification of deployments across environments, ensuring successful rollout and identifying immediate issues post-release.
michaelboeding
Research-aligned self-consistency for debugging. Spawns independent solver agents that each explore and debug the problem from scratch. Uses majority voting. Based on "Self-Consistency Improves Chain of Thought Reasoning" (Wang et al., 2022). Use for critical bugs, algorithms, or when other approaches have failed.
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