memory

by google-gemini

Records and appends every user-agent customer support interaction to the memory.md log in the workspace.

npx skills add https://github.com/google-gemini/gemini-managed-agents-templates --skill memory

Download ZIP GitHub

Memory Skill

Use this skill to log conversations and important events, ensuring a historical record of all customer support interactions is maintained in .agents/workspace/memory.md.

Instructions for the Agent

To record an interaction:

Append the conversation or event details directly to .agents/workspace/memory.md using your file writing capabilities. Create the file if it does not exist.
Format the entry using the following casual, clean layout:

Date: [Current Date]
- First snapshot of the website (example.com) has been created
- Customer asked about <pricing>, responded with details from <pricing page>

---

This keeps a clean, chronological history of all support queries and replies.

More skills from google-gemini

Main Agents: Do NOT use this skill directly. If you need to test the TUI, invoke the `tui_tester` subagent. Drive terminal UI (TUI) applications…

Guide for using the Gemini API CLI tool. Use when you need to interact with the Gemini API via the command line, manage agents, or generate media (images,…

behavioral-evals

Guidance for creating, running, fixing, and promoting behavioral evaluations. Use when verifying agent decision logic, debugging failures, debugging prompt…

gemini-live-api-dev

Real-time bidirectional streaming with Gemini over WebSockets for audio, video, and text conversations. Supports audio input/output (16 kHz PCM), video frames, text, and automatic transcriptions with voice activity detection for interruption handling Includes native audio features: affective dialog, proactive audio, and thinking mode; function calling for synchronous and asynchronous tool use; and Google Search grounding Offers session management with context compression, resumption, and...

gemini-omni-flash-api

Use this skill for generative video editing, text-to-video, image-referenced video generation, and first-frame-to-video transition animations using the…

Build applications with Google's Gemini models, supporting multimodal content, function calling, and structured outputs across Python, JavaScript, Go, and Java. Access current Gemini 3 models (Pro, Flash, Pro Image) with 1M token context; legacy Gemini 2.x and 1.5 models are deprecated Supports text generation, image/audio/video understanding, function calling, structured JSON output, code execution, context caching, and embeddings Official SDKs available: google-genai (Python),...

gemini-interactions-api

Unified interface for Gemini models and agents with server-side state, streaming, and tool orchestration. Supports multiple current models (gemini-3-flash-preview, gemini-3-pro-preview, gemini-2.5-flash/pro) and the Deep Research agent; automatically substitute deprecated model IDs with current alternatives Offload conversation history to the server via previous_interaction_id for stateful multi-turn interactions without manual history management Built-in tool orchestration including...

Posts a condensed version of the briefing to a Google Chat or Slack incoming webhook, so the daily run delivers itself — skips silently when no webhook is…