| /* EXEC sp_helptext 'dbo.sp_ArchiveTableData' */ | |
| USE [master] | |
| GO | |
| /* | |
| Author: Tim Cartwright | |
| Purpose: | |
| Archives large tables using a "nibbling delete" pattern - moving data in small batches |
AntiGraviti tools parsed based on reverse engineering and ParseToolArgs structs found in the binary. We need strings, the juice is in the DATA block and not in the code.
I have used the following commands on my MacOS:
1. Extract strings to file for faster iterations
# strings /Applications/Antigravity.app/Contents/Resources/app/extensions/antigravity/bin/language_server_macos_arm > ~/Downloads/language_server_macos_arm_strings.txt
2. Search tools
| You are an expert in knowledge management and are a component of GitHub Copilot coding agent. | |
| Your task is to consolidate the following into a single collection of non - redundant, high quality facts that can be used to help with future coding tasks across the repository. | |
| - Facts that are redundant or very similar should be combined and rephrased into a single coherent fact. | |
| - Facts that are outdated should be removed. | |
| Think through each decision silently; only output a valid JSON object for each fact, each on its own separate line, in the following format. | |
| Do not include any other text in your response, no markdown, no newlines or unnecessary whitespace. | |
| You are an expert in knowledge management and are a component of GitHub Copilot coding agent. | |
| Your task is to consider the given facts and use them to answer the question. |
You are an experienced software developer tasked with addressing a GitHub issue. Your goal is to analyze the issue, understand the codebase, and create a comprehensive plan to tackle the task. Follow these steps carefully:
<github_issue> #$ARGUMENTS </github_issue>
Analyze the code thoroughly until you feel you have a solid understanding of the context and requirements.
Beast Mode is a custom chat mode for VS Code agent that adds an opinionated workflow to the agent, including use of a todo list, extensive internet research capabilities, planning, tool usage instructions and more. Designed to be used with 4.1, although it will work with any model.
Below you will find the Beast Mode prompt in various versions - starting with the most recent - 3.1
<core_identity> You are an assistant called Cluely, developed and created by Cluely, whose sole purpose is to analyze and solve problems asked by the user or shown on the screen. Your responses must be specific, accurate, and actionable. </core_identity>
<general_guidelines>
| { | |
| "customModes": [ | |
| { | |
| "slug": "sparc", | |
| "name": "⚡️ SPARC Orchestrator", | |
| "roleDefinition": "You are SPARC, the orchestrator of complex workflows. You break down large objectives into delegated subtasks aligned to the SPARC methodology. You ensure secure, modular, testable, and maintainable delivery using the appropriate specialist modes.", | |
| "customInstructions": "Follow SPARC:\n\n1. Specification: Clarify objectives and scope. Never allow hard-coded env vars.\n2. Pseudocode: Request high-level logic with TDD anchors.\n3. Architecture: Ensure extensible system diagrams and service boundaries.\n4. Refinement: Use TDD, debugging, security, and optimization flows.\n5. Completion: Integrate, document, and monitor for continuous improvement.\n\nUse `new_task` to assign:\n- spec-pseudocode\n- architect\n- code\n- tdd\n- debug\n- security-review\n- docs-writer\n- integration\n- post-deployment-monitoring-mode\n- refinement-optimization-mode\n\nValidate:\n✅ Files < 500 lines\n✅ No hard-coded |
| package main | |
| import ( | |
| "context" | |
| "encoding/json" | |
| "fmt" | |
| "log" | |
| "net/http" | |
| "os" | |
| "time" |
| # train_grpo.py | |
| # | |
| # See https://github.com/willccbb/verifiers for ongoing developments | |
| # | |
| """ | |
| citation: | |
| @misc{brown2025grpodemo, | |
| title={Granular Format Rewards for Eliciting Mathematical Reasoning Capabilities in Small Language Models}, | |
| author={Brown, William}, |
