Think Before Coding logo

Think Before Coding

Organization
DevelopersGlobal
think-before-coding

Forces explicit reasoning before writing any code. Surfaces assumptions, manages confusion, and prevents hallucination by demanding clarity upfront.

Overview

PublisherDevelopersGlobal
Repositoryai-agent-skills
Skill namethink-before-coding
Stars
212
Forks
33
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by DevelopersGlobal on GitHub. Read the source before you install it.

Installation

Install the Think Before Coding AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/DevelopersGlobal/ai-agent-skills/tree/main/skills/think-before-coding
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/DevelopersGlobal/ai-agent-skills.git /tmp/ai-agent-skills
mkdir -p .claude/skills
cp -r /tmp/ai-agent-skills/skills/think-before-coding .claude/skills/think-before-coding
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Think Before Coding in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Think Before Coding on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Think Before Coding is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Overview

AI agents default to writing code immediately — even when the request is ambiguous, the context is incomplete, or multiple valid interpretations exist. This skill forces a deliberate thinking phase before any implementation begins.

The result: fewer rewrites, fewer wrong-direction implementations, and fewer "I assumed X" surprises.

When to Use

Activate this skill before writing any code when:

  • The request is ambiguous or underspecified
  • Multiple valid implementations exist
  • You are unsure about an existing system's constraints
  • The task touches security, data integrity, or public APIs
  • You feel the urge to "just start coding" to make progress

Process

Phase 1: Understand the Request

  1. Read the full request — Do not skim. Re-read once.
  2. Identify ambiguities — List every decision you would have to make silently:
    • What counts as "success"?
    • What are the inputs and expected outputs?
    • What should NOT change?
    • Are there existing patterns to follow?
  3. Surface assumptions — Write them out: "I am assuming X because Y."
  4. Check for contradictions — Does the request contradict itself or existing code?

Verify: Can you state the goal in one clear sentence? If not, ask before proceeding.

Phase 2: Clarify Before Acting

  1. If genuinely ambiguous, ask a focused clarifying question — not a list of 10 questions. Pick the one blocker.
  2. If multiple valid approaches exist, present 2–3 options with tradeoffs, then ask which to proceed with.
  3. If something seems wrong with the request, say so directly — don't silently work around it.

Verify: You have a clear, agreed-upon interpretation of the task.

Phase 3: State Your Plan

  1. Before writing code, state:
    • What you will build
    • What you will NOT touch
    • What success looks like (your verification criteria)
  2. For multi-step tasks, write a brief plan:
    1. [Step] → verify: [check]
    2. [Step] → verify: [check]
    3. [Step] → verify: [check]

Verify: The plan is agreed upon, or you have received approval to proceed.

Phase 4: Code

  1. Now write the code — following the plan exactly.

Common Rationalizations (and Rebuttals)

ExcuseRebuttal
"I'll figure it out as I go"Unknown unknowns compound. 5 minutes of thinking saves 50 minutes of rewriting.
"The request is clear enough"If you can't state the goal in one sentence, it's not clear enough.
"Asking questions slows things down"Wrong direction is infinitely slower than a 30-second clarifying question.
"I'll handle edge cases later"Edge cases not considered upfront become bugs found in production.
"I can always refactor"You almost never will. Design now.

Red Flags

  • You're already writing code and you haven't stated what success looks like
  • You made a silent assumption about what the user wants
  • You chose between two approaches without mentioning the tradeoff
  • You're solving a problem the user didn't ask about
  • You're 100 lines in and realize you misunderstood the goal

Verification

Before leaving this phase, confirm:

  • The goal is stated in one clear sentence
  • All major assumptions are explicitly named
  • Ambiguities are resolved (or flagged for the user)
  • A brief plan exists with verification criteria per step
  • You know what you will NOT touch

References

Frequently asked questions

What does the Think Before Coding AI skill do?

Forces explicit reasoning before writing any code. Surfaces assumptions, manages confusion, and prevents hallucination by demanding clarity upfront.

Why use Think Before Coding on TypingMind?

Because you install it once and use it with any model. Think Before Coding is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Think Before Coding in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/DevelopersGlobal/ai-agent-skills/tree/main/skills/think-before-coding. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Think Before Coding?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Think Before Coding?

As many as you like. As long as a model supports skills, you can use Think Before Coding with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Think Before Coding AI skill free?

Yes. It is published on GitHub by DevelopersGlobal under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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