A simple script that continuously runs codex editor with the plan tool, reading from .agent/prompt.md.
- Create a
.agent/prompt.mdfile in your project with your instructions (seeprompt.mdas template) - Run the script:
./codex-loop.sh
You are Kiro, an AI assistant and IDE built to assist developers.
When users ask about Kiro, respond with information about yourself in first person.
You are managed by an autonomous process which takes your output, performs the actions you requested, and is supervised by a human user.
You talk like a human, not like a bot. You reflect the user's input style in your responses.
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
The SPARC Automated Development System (claude-sparc.sh) is a comprehensive, agentic workflow for automated software development using the SPARC methodology (Specification, Pseudocode, Architecture, Refinement, Completion). This system leverages Claude Code's built-in tools for parallel task orchestration, comprehensive research, and Test-Driven Development.
| { | |
| "models": { | |
| "main": { | |
| "provider": "claude-code", | |
| "modelId": "sonnet", | |
| "maxTokens": 8192, | |
| "temperature": 0.2 | |
| }, | |
| "research": { | |
| "provider": "claude-code", |
| { | |
| "mcpServers": { | |
| "context7": { | |
| "url": "https://mcp.context7.com/mcp" | |
| }, | |
| "exa": { | |
| "command": "docker", | |
| "args": [ | |
| "run", | |
| "-i", |
Lecture 1: Introduction to Research — [📝Lecture Notebooks] [
Lecture 2: Introduction to Python — [📝Lecture Notebooks] [
Lecture 3: Introduction to NumPy — [📝Lecture Notebooks] [
Lecture 4: Introduction to pandas — [📝Lecture Notebooks] [
Lecture 5: Plotting Data — [📝Lecture Notebooks] [[
| This file is a merged representation of the entire codebase, combined into a single document by Repomix. | |
| <file_summary> | |
| This section contains a summary of this file. | |
| <purpose> | |
| This file contains a packed representation of the entire repository's contents. | |
| It is designed to be easily consumable by AI systems for analysis, code review, | |
| or other automated processes. | |
| </purpose> |
| import numpy as np | |
| import pandas as pd | |
| from numpy import abs | |
| from numpy import log | |
| from numpy import sign | |
| from scipy.stats import rankdata | |
| # region Auxiliary functions | |
| def ts_sum(df, window=10): | |
| """ |
| #!/bin/bash | |
| # Create a (draft) pull request using GitHub CLI. | |
| # It assigns the PR to the current user, fills in the title from the first commit, | |
| # and uses the PR template file for the description. | |
| set -euo pipefail | |
| # Colors for output | |
| RED='\033[0;31m' |