tidegap

Tidegap — AI skill for Claude Code

AI community

Run non-urgent LLM tasks at the cleanest grid hour before a deadline.

How to install Tidegap

This entry records only its repository, not the path inside it, so there is no exact command to give. Open tidegap/tidegap and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Tidegap does

Run non-urgent LLM tasks at the cleanest grid hour before a deadline. MCP server + TS/Python library. Apache-2.0.

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README

Tidegap

**Run non-urgent LLM tasks at the cleanest grid hour before your deadline.**

Tidegap takes the LLM tasks your agent does not need right now, runs them at the lowest-carbon grid hour before a deadline you set, and sends them through the provider Batch API when the deadline allows.

Picks the dispatch hour from a live 72-hour grid carbon-intensity forecast: 5 real-data feeds, 31 regions (measured, counted in code).
Routes work with a deadline over 24 hours through the Anthropic and OpenAI Batch APIs, at 50 % of the sync list price (projected, provider list price).
Writes a signed carbon receipt per task to a local SQLite ledger. tidegap verify checks it offline.

[![npm](https://img.shields.io/npm/v/%40tidegap%2Fcore?label=npm)](https://www.npmjs.com/package/@tidegap/core) [![PyPI](https://img.shields.io/pypi/v/tidegap)](https://pypi.org/project/tidegap/) [![License: Apache-2.0](https://img.shields.io/badge/license-Apache--2.0-5eead4)](./LICENSE) [![Glama](https://glama.ai/mcp/servers/tidegap/tidegap/badges/score.svg)](https://glama.ai/mcp/servers/tidegap/tidegap)

npm install @tidegap/core                                  # TypeScript / Node
pip install "tidegap[anthropic,openai,signing]"            # Python 3.11+
claude plugin marketplace add tidegap/tidegap && claude plugin install tidegap   # Claude Code
npx -y @tidegap/mcp                                        # any other MCP host

// save as plan.mjs, run: node plan.mjs   (GB uses the free UK feed, no API key)
import { recommendWindow, ukCarbonIntensityFeed } from "@tidegap/core";
const deadline = new Date(Date.now() + 24 * 3600 * 1000).toISOString();
const plan = await recommendWindow({ region: "GB", deadline }, { feed: ukCarbonIntensityFeed(), rng: () =>