AI Developer Tools

Prepare prompts, test model APIs, generate AI CLI commands, validate structured JSON output, and inspect live MCP tools in one workflow.

Quick Start
AI Prompt Toolkit
Redact secrets, estimate tokens, and split long prompts before you paste them into an external AI tool.
Sanitize and Split AI Prompts
Open the keyword-forward guide, then jump into safe prompt-toolkit presets for redaction, chunking, and cleanup.
Agent Skill Builder
Turn Markdown notes into a browser-local Claude or Codex SKILL.md file with deterministic frontmatter and copy-ready output.
CLI comparison guide
Compare Claude Code, Codex, and OpenCode command patterns before you choose a live preset.
AI CLI Tools
Generate copy-ready Claude Code, Codex, and OpenCode commands without jumping between docs tabs.
Structured Output Playground
Validate JSON-shaped model output against the contract your app expects before you wire it into code.
LLM API Tester
Call OpenAI-compatible APIs directly from your browser and inspect models, streaming output, headers, timing, and usage.
Structured Output JSON Validator
Open a keyword-forward guide with safe preset links into the live structured-output playground.
MCP Server Check
Connect to a remote Streamable HTTP server, inspect its tools, and run confirmed calls.
Which tool do I need?
I need to clean a prompt before I share it.
Start with prompt cleanup, redaction, and chunking when the input includes repo notes, incident text, or secrets.
Open AI Prompt Toolkit
I need the exact command and flags for an AI coding assistant.
Use the CLI builder when you want the right command for Claude Code, Codex, or OpenCode without re-reading reference docs.
Open AI CLI Tools
I need to test an OpenAI-compatible endpoint.
Use a browser-direct profile to load models, send Chat or Responses requests, and inspect compatibility without a ComUtil proxy.
Open LLM API Tester
I need to validate JSON output before my app consumes it.
Use the structured-output workbench to catch missing fields, wrong types, or extra keys before you trust the payload.
Open Structured Output Playground
I need to verify an MCP server and try one of its tools.
Review the transport, required fields, and environment usage before you connect this config in an MCP client.
MCP Server Check
I need to turn notes into an agent skill.
Use the skill builder when a rough Markdown draft needs clean SKILL.md frontmatter and a copy-ready file.
Open Agent Skill Builder
Workflow rail
1. Prompt prep
Clean and split the text before it leaves your workflow.
2. Command build
Generate the exact CLI invocation for the assistant you are using.
3. API test
Call the selected endpoint directly and inspect its real response.
4. Output check
Validate that the JSON response still satisfies your expected shape.
5. Config debugging
Review the transport, required fields, and environment usage before you connect this config in an MCP client.
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