One search for your own team's files and the public ecosystem. See how real projects write their agent instructions, and bring the good ideas home.
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Google DeepMindSkillgoogle-deepmind/xmanager/.agents/skills/xmanager/SKILL.md
Launches, manages, and troubleshoots XManager Cloud (XMC) experiments. A MUST READ before launching any XMC experiment, orchestrating jobs on Kubernetes/GKE, or configuring experiment flags. Don't use for internal corporate launches.
Google DeepMindAGENTS.mdgoogle-deepmind/simply/AGENTS.md
Simply is a minimal JAX-based research codebase for LLM training and inference. It emphasizes minimal abstractions for rapid iteration on frontier research. The codebase supports Gemma, Qwen, and DeepSeek model families with multi-host distributed training.
Google DeepMindCLAUDE.mdgoogle-deepmind/simply/CLAUDE.md
Simply is a minimal JAX-based research codebase for LLM training and inference. It emphasizes minimal abstractions for rapid iteration on frontier research. The codebase supports Gemma, Qwen, and DeepSeek model families with multi-host distributed training.
Google DeepMindSkillgoogle-deepmind/agentic_ecology/skills/agentic-ecology-bioacoustics/SKILL.md
Provides bioacoustic analysis capabilities for ecologists and researchers using the perch-hoplite Python package. A typical use case is to use agile modeling to bootstrap the creation and deployment of a bespoke detector for targeted species on an existing collection of passive acoustic monitoring recordings. Use when processing and annotating audio recordings for bioacoustic applications.
Google DeepMindSkillgoogle-deepmind/agentic_ecology/skills/agentic-ecology-camera-traps/SKILL.md
Provides capabilities to run SpeciesNet detector and classifier on camera trap images, extract crop-level feature embeddings, and populate a Hoplite vector database for downstream search and agile modeling. Use when ingesting camera trap images, classifying wildlife photos, or indexing camera trap data.
Google DeepMindAGENTS.mdgoogle-deepmind/agentic_ecology/skills/agentic-ecology-init/assets/AGENTS.md
- Environment Management: This repository is managed exclusively with uv. All dependency resolution and environment setup are handled by uv. The soundfile library is guaranteed to be available in this environment; do not waste steps verifying its installation. - Agent Artifacts: You MUST store artifacts (Python scripts, Markdown documents, etc.) in the agent_workspace directory inside the repository's root directory so that the user can inspect your work. Do NOT create or commit any temporary, throwaway, or scratch files anywhere else.…
Google DeepMindSkillgoogle-deepmind/agentic_ecology/skills/agentic-ecology-init/SKILL.md
Initializes a local uv-managed project directory for agentic ecology workloads. Sets up Python dependencies using reference pyproject.toml and uv.lock, configures workspace rules, and ensures Agentic Ecology skills are discoverable. Use when initializing a new project workspace or bootstrapping a clean environment.
Google DeepMindSkillgoogle-deepmind/agentic_ecology/skills/agentic-ecology-ui/SKILL.md
Guidelines and templates for creating a generic web UI to visualize, rank, filter, and annotate vector databases. The UI has a hierarchical structure covering database selection, label selection/definition, ranking/filtering configuration, and row visualization/annotation. Use when building, serving, or adapting an interactive web UI for Hoplite vector databases.
Google DeepMindAGENTS.mdgoogle-deepmind/padic-ml/AGENTS.md
Precision Convention: - We should not hardcode precision. Use jnp.int_ or jnp.float_. User scripts should control precision via globally setting jax_enable_x64 themselves.
Plain text files in a repository that tell a coding agent how the project works: commands to run, conventions to follow and things to avoid. CLAUDE.md, AGENTS.md, cursor rules and skills are the common kinds.
CLAUDE.md is read by Claude Code. AGENTS.md is an open format that Codex, Cursor and other agents read. Many projects keep one and point the other at it.
A folder with a SKILL.md that describes one capability, such as filling PDFs or reviewing code. The agent loads it only when the task calls for it.
Your agents already can, over MCP, limited to the files you're allowed to read. Searching them from this page is coming.
