AvivK5498

AvivK5498

@AvivK5498

GitHub
7 Skills
220 Total Stars
February 2026 Joined

Public Skills

create-beads-orchestration

by AvivK5498

Bootstrap lean multi-agent orchestration with beads task tracking. Use for projects needing agent delegation without heavy MCP overhead.

Agents 177 4mo ago

agentifind

by AvivK5498

Set up codebase intelligence for AI agents. Runs the agentifind CLI to extract code structure using LSP (pyright/tsserver) with tree-sitter fallback, then synthesizes a CODEBASE.md navigation guide. Run this skill to get a complete codebase map in .claude/ directory.

Processing 8 4mo ago

ceo-companion

by AvivK5498

"Collaborative CEO co-pilot for SaaS strategy sessions. Researches markets, validates ideas, designs UI inspiration boards, and produces a .strategy/ folder that Beads Orchestration consumes for autonomous building. Use as Session 1 before a Beads build session."

Auth 7 4mo ago

agentform

by AvivK5498

Create and debug Agentform AI agent configurations (.af files). Use when: (1) Creating new agentform projects or workflows (2) Debugging agentform syntax errors (3) Adding MCP server integrations (4) Configuring agents, models, policies, or capabilities (5) Writing workflow steps with routing and human approval Agentform is "Infrastructure as Code for AI agents" - declarative .af files define agents, workflows, and policies.

Agents 7 4mo ago

agent-debugger

by AvivK5498

Systematic debugging toolkit for AI agentic workflows in customer support. Use when diagnosing issues with AI agents including wrong responses, tool/function calling problems, conversation loops, stuck states, or performance/latency issues. Works with any framework (LangChain, custom agents, Claude API) and accepts conversation logs, API logs, tool execution logs, and agent configurations.

Agents 7 4mo ago

runpod-serverless-builder

by AvivK5498

Build production-ready RunPod serverless endpoints with optimized cold start times. Use when creating or modifying RunPod serverless workers for (1) vLLM-based LLM inference, (2) ComfyUI image/video generation, or (3) custom Python inference. Supports both baked models (fastest cold starts) and dynamic loading (shared models). Generates complete projects including Dockerfiles, worker handlers, startup scripts, and configuration optimized for minimal cold start latency.

Docker 7 4mo ago

create-beads-orchestration

by AvivK5498

Bootstrap lean multi-agent orchestration with beads task tracking. Use for projects needing agent delegation without heavy MCP overhead.

Agents 7 4mo ago