my-claude-code-setup is a starter configuration and memory-bank template for Claude Code, providing project guidance and reusable setup for Claude Code sessions. Developers use it to organize Claude Code behavior, memory, commands, skills, subagents, hooks, and settings. The catalogue entries are components of this Claude Code workflow.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/centminmod/my-claude-code-setupWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/centminmod/my-claude-code-setup/batch-operations-prompt)<a href="https://agentmods.dev/commands/centminmod/my-claude-code-setup/batch-operations-prompt"><img src="https://agentmods.dev/badge/commands/centminmod/my-claude-code-setup/batch-operations-prompt/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/centminmod/my-claude-code-setup/batch-operations-prompt"><img src="https://agentmods.dev/badge/commands/centminmod/my-claude-code-setup/batch-operations-prompt.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.01224 |
| Opus 5.5 | $0.00000 | $0.00490 |
| Sonnet 5.5 | $0.00000 | $0.00245 |
| Haiku 4.5 | $0.00000 | $0.00122 |
Grade A, and why
batch-operations-prompt scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Batch Operations Prompt
Optimize prompts for multiple file operations, parallel processing, and efficient bulk changes across a codebase. This helps Claude Code work more efficiently with TodoWrite patterns.
Usage Examples
Basic Usage
"Convert to batch: Update all test files to use new API" "Batch prompt for: Rename variable across multiple files" "Optimize for parallel: Add logging to all service files"
With File Input
/batch-operations-prompt @path/to/operation-request.md
/batch-operations-prompt @../refactoring-plan.txt
Complex Operations
"Batch refactor: Convert callbacks to async/await in all files" "Parallel update: Add TypeScript types to all components" "Bulk operation: Update import statements across the project"
Instructions for Claude
When creating batch operation prompts:
Input Handling
- If
$ARGUMENTSis provided, read the file at that path to get the operation request to optimize - If no
$ARGUMENTS, use the user's direct input as the operation to optimize - Support relative and absolute file paths
- Identify Parallelizable Tasks: Determine what can be done simultaneously
- Group Related Operations: Organize tasks by type and dependency
- Create Efficient Sequences: Order operations to minimize conflicts
- Use TodoWrite Format: Structure for Claude's task management
- Include Validation Steps: Add checks between batch operations
Batch Prompt Structure
1. Overview
- Scope of changes
- Files/patterns affected
- Expected outcome
2. Prerequisite Checks
- Required tools/dependencies
- Initial validation commands
- Backup recommendations
3. Parallel Operations
- Independent tasks that can run simultaneously
- File groups that don't conflict
- Read operations for gathering information
4. Sequential Operations
- Tasks with dependencies
- Operations that modify same files
- Final validation steps
Optimization Strategies
File Grouping
## Batch Operation: [Operation Name]
### Phase 1: Analysis (Parallel)
- Search for all affected files using Glob/Grep
- Read current implementations
- Identify patterns and dependencies
### Phase 2: Implementation (Grouped)
Group A (Independent files):
- File1.js: [specific change]
- File2.js: [specific change]
Group B (Related components):
- Component1.tsx: [change]
- Component1.test.tsx: [related change]
### Phase 3: Validation (Sequential)
1. Run linter on modified files
2. Execute test suite
3. Build verification
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 207 lines · 0 tokens per session scan A 2a0164b03975
batch-operations-prompt is a command published in the GitHub repository centminmod/my-claude-code-setup (2,693 stars, last pushed 19d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,224 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other commands, from other repositories
improve-prompt
Analyze and improve an AI prompt for clarity, specificity, and effectiveness.
test-prompt
Test an AI prompt against multiple scenarios to verify consistent, quality output.
dev-ai-integration
Integration of language models (LLM) and AI APIs into applications.
improve-prompt
Improve any prompt — for LLMs/chat/agents or generative image/video/audio models. Model-agnostic; interviews to fill real gaps, then returns a rewritten prompt plus a short rationale.
evaluate
Score the prompt I just wrote and give me one thing to sharpen.
enhance
Intelligently enhances user input by generating a structured task map, refining an ambiguous query, or improving a code snippet.