This skill queries the Bittensor network via Python SDK to retrieve metagraph, subnets, validators, emissions, and staking data for TAO.
npx playbooks add skill kennethashley/bittensor-skill --skill bittensor-skill
This skill queries the Bittensor network via Python SDK to retrieve metagraph, subnets, validators, emissions, and staking data for TAO.
The 20-word prompt provides structured developer workflow guidance — covering detailed methodology and consistent output formats. Install it in one command.
This skill queries the Bittensor network via Python SDK to retrieve metagraph, subnets, validators, emissions, and staking data for TAO.
Bittensor Skill is a free developer workflow skill for AI coding agents. This skill queries the Bittensor network via Python SDK to retrieve metagraph, subnets, validators, emissions, and staking data for TAO.. It provides a specialized system prompt that configures your agent with developer workflow expertise.
Run npx playbooks add skill kennethashley/bittensor-skill --skill bittensor-skill in your terminal to install Bittensor Skill into your Claude Code session. It works immediately after installation.
Bittensor Skill is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Yes, Bittensor Skill is completely free and open source. The full source is available on GitHub at https://github.com/kennethashley/bittensor-skill/tree/main/SKILL.md. You only need a subscription to the AI agent you use it with.
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