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Documentation Index

Fetch the complete documentation index at: https://labs.prompthon.io/llms.txt

Use this file to discover all available pages before exploring further.

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Everyone is welcome to contribute. You do not need to decide whether you are a learner, curator, builder, writer, or future maintainer before you start. Start from the signal in front of you and choose the smallest public artifact that would make the project clearer for the next reader. I should contribute when:
  • I feel confused by a concept and can name the missing beginner context.
  • I find a broken setup step, outdated detail, bug, or missing feature.
  • I notice a new AI signal, tool behavior, source project, or practitioner workflow that the handbook should track.
  • I can turn an AI-assisted investigation into a clearer explanation, issue, prompt, example, or package.
  • I want to practice public project work by asking a better question, opening an issue, improving a page, or recording useful Discord activity.

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What you can contribute

Lab Article

An evergreen handbook page for a concept, pattern, system, or case study.

Case Study Project

A repo-owned example, starter, or case-study project that helps readers practice with real structure.

Skill Package

A local-agent workflow package with clear instructions, helper files, and enough documentation to review or run it.

Discord Activity Record

Participate in Discord discussions and record useful questions, decisions, and follow-up work for the project.

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Fresh start path

  1. Pick the contribution direction that matches your signal or question.
  2. Open the matching card above and read the page for that contribution type.
  3. Ask AI to help you clarify the signal, compare it with the guidance, and shape the next artifact.
  4. If the shape is still unclear, ask in Discord #handbook-contributors with the signal, context, and the draft direction AI helped you form.
  5. Continue from the specific guidance page once the contribution type is clear.
  • Discord: ask early contributor questions and route unclear ideas.
  • Contributor Kit: use this after you know what kind of contribution you are making.

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Why signal-driven contribution matters

Prompthon Agentic Labs encourages learners to treat curiosity, confusion, friction, and new AI signals as the beginning of contribution. Static materials are useful, but the strongest learning trigger is often a signal: a new observation from AI Signals, a broken setup step, a missing explanation, a feature idea, or a question that keeps coming back. AI assistants can help you investigate the signal, name the problem, test your understanding, compare possible fixes, and shape the next artifact. But AI does not take initiative by itself. It does not decide what is worth improving. Humans do. That is why this community values learners who actively notice signals and turn them into GitHub issues, bug reports, feature requests, small fixes, prompts, source notes, or draft handbook improvements.