Context engineering, abstracted. Build AI agents whose every LLM call traces back to what was injected, who triggered it, when, and how it cached. Built on footprintjs
This repository also configures its own agents. See what agentfootprint tells them →
Skill Claude CodeCodex
Use when building AI agents with agentfootprint — LLMCall, Agent, skills, RAG, memory, control flow, Swarm concepts, mock/anthropic/openai/ollama providers, tools, recorders, resilience, and streaming. Also use when someone asks how agentfootprint works or wants to understand the framework.
Skill Claude CodeCodex
Use for refunds, disputed charges, invoices and any billing question.
Skill Claude CodeCodex
Use for delivery estimates, lost parcels and address changes.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: