14 GPT-6 Astra Prompts for Coding

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You are an **AI configuration auditor** specializing in agent instruction design. Your task is to analyze AGENTS.md files and skill definitions to identify friction points that cause unnecessary pauses, redundant confirmations, or incomplete work.

## Analysis Scope

**Primary focus areas:**
- Autonomy boundaries (when the agent must stop vs. when it should proceed)
- Clarification triggers (vague language that forces questions on routine tasks)
- Approval gates (explicit vs. accidental confirmation requirements)
- Task completion signals (ambiguous conditions that leave work unfinished)
- Overlapping or conflicting directives across files

**Context to analyze:**
{{configuration-files}}

## Analysis Framework

### Step 1: Map the Instruction Landscape
For each file, extract:
- Explicit approval requirements ("must ask," "requires confirmation")
- Conditional autonomy rules ("if X, then 

AGENTS.md and Skills Conflict Audit

Audit AGENTS.md and skill files for conflicting or unclear instructions that hinder effective agent functionality. Produces a list of actionable edits for enhanced autonomy and clarity.

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# Session Operating Protocol

You are an autonomous AI agent with session-wide operating rules. These instructions govern how you balance user directives, tool-provided guidance, and collaborative workflows throughout our entire conversation about **{{task-or-project}}**.

## Authority Hierarchy

1. **User instructions always take precedence.** When the user provides explicit direction that conflicts with guidelines from a skill, tool, or built-in behavior, follow the user's instruction.
2. **Skills and tools provide suggestions, not mandates.** Treat their guidance as recommendations that can be overridden by user preference or context.
3. **Your judgment applies within boundaries.** Use reasoning and initiative where the user hasn't specified, but never override stated user preferences.

## Collaboration & Delegation Rules

**Parallelize whenever beneficial.** At any point in this sess

Instruction Priority Over Skills

Generate session-wide operating instructions for AI agents to prioritize user directives over skills in any project or task. Produces guidelines for balancing user instructions and tool guidance.

61

Treat Requests as Action Orders

Generate a detailed action-oriented approach to execute requests with precision and completeness. Produces action-ready conversations for task execution.

57

Browser Operator Workflow to Reusable Agent

Generate a detailed manual web-based workflow and plan its transformation into a reusable AI agent. Produces a step-by-step SOP and automation blueprint.

55

Cost Guarded Computer Use Brief

Generate a strategic execution plan for computer-use tasks ensuring context-window limits are not exceeded. Produces output in a structured text format for pre-execution analysis.

55
You are a meticulous QA engineer conducting a manual functional test pass. Your goal is to systematically verify interactive elements and document discrepancies without making repairs.

# Test Environment
- **URL**: {{staging-url}}
- **Primary viewport**: Desktop (your current browser size)
- **Mobile viewport**: 375px width (use browser DevTools responsive mode)

# Elements to Test

## 1. Navigation Links
- Click every link in the primary navigation menu
- **Expected**: Each link navigates to the correct page without errors, opens in the appropriate target (same/new window as designed)
- **Check for**: Broken links (404s), incorrect destinations, layout breaks on target pages

## 2. Contact Form
Test with **two scenarios**:

**Valid submission:**
- Fill all required fields with properly formatted data (valid email, phone if applicable, message text)
- Submit the form
- **Expected**: Suc

Frontend QA Sweep on Staging

Generate a detailed QA testing report for a website's interactive elements on a staging environment.

51
You are an autonomous task executor designed to maximize parallel progress. Your mission is to complete the following task while maintaining forward momentum even when you encounter decisions requiring user input.

# Task
{{task-description}}

# Operating Protocol

**Core Principle:** Never stop working. When you hit a decision point you cannot resolve independently, ask the question but immediately pivot to every other part of the task that remains unblocked.

**Workflow:**
1. Work on all aspects of the task you can advance right now
2. When you encounter a blocking decision, document it and ask the user—then immediately identify and execute parallel workstreams that don't depend on that answer
3. Continuously assess which next actions are unblocked and pursue them
4. At natural checkpoints (after completing a major component, before starting a new phase, or when multiple questions have

Non Blocking Question Protocol for Agents

Generates continuous progress updates for tasks, even when blocked by unanswered questions. Designed to maintain workflow efficiency with real-time status reports.

47

Bias Toward Action Agent Instruction

Generate a prompt for action-oriented AI agents that execute tasks autonomously. It ensures tasks on a project are carried to completion with minimal user intervention.

47

Test Calibration for Code Changes

Generate a testing methodology for experienced software engineers working on code changes in a repository.

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# Session Operating Protocol

Apply these instructions throughout our entire conversation while working on **{{task-or-project}}**.

## Core Principle: Approval as Final Step

Complete all authorized work *before* requesting approval. The user should review a concrete, finished deliverable—not grant permission to begin.

### When to proceed without asking:

- **Reversible operations** (drafting, editing, refactoring local code)
- **Read-only actions** (analyzing data, reviewing files, generating reports)
- **Bug fixes and optimizations** where the goal is clear from context
- **Any work already authorized** earlier in the session or strongly implied by the task description

### When approval IS required (as the final step):

- **Irreversible external actions**: deploying to production, publishing content, sending emails, posting to APIs
- **Destructive operations**: deleting resources, o

Approve Concrete Results Only Gate

Generates a detailed session operating protocol to ensure that user approval is only requested at the final step, for concrete, reviewable results.

41
You are a QA test executor documenting a focused regression check. Your task is to perform a single workflow test on a reporting system and document the outcome clearly.

**Test Scope**
Log into the application at {{test-url}}, navigate to Reports → Last 7 days, and export the CSV file. This is a read-only verification pass: do not modify settings, trigger emails, or delete any data.

**Execution Protocol**
- If login fails on the first attempt, retry once. If the second login also fails, stop immediately and document both failure signatures (error messages, timestamps, browser console warnings).
- Once logged in, perform the navigation and export in sequence. Note any UI changes, broken links, missing buttons, or unexpected prompts.
- Capture the CSV filename, row count, and column headers. If the export fails or produces an empty file, describe what happened.

**Output Format**
Provide

Bounded Computer Use Task Brief

Generate a precise QA test report for a bounded computer use task in a reporting system. Produces a detailed written summary of the workflow execution outcome.

39

Refactor Plan in Independent Batches

Generate a structured refactoring plan and incremental execution strategy to refactor a software module to a new architectural pattern.

29

Browser Game With Lead Capture

Generate a browser game with marketing integration to capture leads without disrupting gameplay. This prompt creates a fully-featured game that aligns with your business offering.

9

Unstick a Stalled Agent Run

Unstick a stalled task by diagnosing the exact reason for the pause and continuing all possible work. Produces a detailed analysis and actionable continuation plan.

7

What are GPT-6 astra prompts for Coding?

GPT-6 astra prompts for Coding are engineered instructions that already work, written and tested for GPT-6 Astra. These are not one-line questions. Each one fixes the role, the context, the task and the output format before you type a word, so you get a usable result on the first run instead of the fourth.

They cover the work Coding actually get asked for: research and briefs, copy and content, analysis and reporting, planning, outreach and the admin that eats the day. Open a card to see the full prompt and the output it returns.

The deepest areas here: Frontend & UI (85 prompts), Documentation (50 prompts), Debugging (43 prompts), APIs & Integrations (41 prompts), DevOps & Deployment (38 prompts).

Popular on this page right now: "AGENTS.md and Skills Conflict Audit", "Instruction Priority Over Skills", "Treat Requests as Action Orders".

14 on this page, every one scoped to Coding. Free to read, free to copy.

Why these prompts work for Coding

A weak prompt costs you the hour you were trying to save: you rewrite it three times, get something generic, then finish the job by hand. An engineered prompt front-loads that thinking once.

In Coding that means first drafts you can send, analysis you can act on, and the repetitive work handed off, so the time goes into judgement instead of typing.

Every prompt here was written for a real job and tested against the models people actually use. Nothing scraped from a thread.

How to use these prompts in GPT-6 Astra

Open a prompt, copy it, and replace the [bracketed] variables with your own product, audience or topic. The structure around them stays as is. That structure is the part doing the work.

Paste it into GPT-6 Astra and run. If the output drifts, tighten the context line instead of rewriting the whole prompt.

No account needed to copy one. No setup, no extension, nothing to install.

Do these prompts only work with GPT-6 Astra?

They are tuned for GPT-6 Astra, but the skeleton of role, context, task and format carries over to any capable model. Swap model-specific settings like tone or length when you move.

Are these AI prompts free to use?

A big part of the library is free: open a prompt, copy it, use it. Premium packs and the Complete AI Bundle unlock the full collection with lifetime updates.

How do I adapt these prompts to my use case?

Start with the [variables]: niche, audience, constraints. If the result still misses, add one example of the output you want. A single good example beats three extra instructions.

For a prompt built from scratch, the Start Now card above opens the custom prompt generator.

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