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Create Manual Test Instructions

Organization
eai-org
create-manual-test-instructions

Turn a ticket, requirements document or code change (branch, PR, commit range, diff) into a concise QA manual-test file a non-author can follow. Invoke manually only.

Overview

Publishereai-org
Repositoryagent-toolkit
Skill namecreate-manual-test-instructions
Stars
80
Forks
18
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 eai-org on GitHub. Read the source before you install it.

Installation

Install the Create Manual Test Instructions 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/eai-org/agent-toolkit/tree/main/skills/create-manual-test-instructions
  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/eai-org/agent-toolkit.git /tmp/agent-toolkit
mkdir -p .claude/skills
cp -r /tmp/agent-toolkit/skills/create-manual-test-instructions .claude/skills/create-manual-test-instructions
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Create Manual Test Instructions 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 Create Manual Test Instructions 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 Create Manual Test Instructions 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.

Create manual test instructions

Resolve the input

  • Ticket or requirements document (file or pasted text) — the only source: the checks follow it, and no code change is looked up.
  • Code change — a branch, PR URL, commit range, pasted diff or patch file, or nothing (the current branch). A commit range is diffed between its own ends. A branch or PR: git fetch the remotes, then diff from the merge base <base> with the target — a PR's base from its metadata, else the default branch of the upstream remote when one exists, else of origin, via git ls-remote --symref <remote> HEAD; that failing, the sole existing candidate among main, master, develop/development, preferring upstream's remote-tracking ref, then origin's, then the local branch. git diff <base> <source> for a tip; a checked-out source is reviewed as its working tree: git diff <base> plus the untracked files (git ls-files --others --exclude-standard), read whole. Read the commit subjects and the PR title and description too. Then resolve the task's planning home — its <id>-<slug>/ directory (no ticket → no id) or flat <id>-<slug>.* files in the project's planning directory, id and slug from the branch name or PR — and read the ticket and requirements there when present for the intent, the "before" and the edge cases; the checks still follow the code, a Reproduction part's steps aside (What to verify). No merge base → git fetch --unshallow and retry. Running forked, you can't ask mid-run: an ambiguous target, a failed fetch, still no merge base or an empty diff → write nothing and say in the final message what to pass on the next run; never guess a target.

Where needed for accurate navigation, also read the code the input cites and the design frames or screenshots it links when they are on disk.

Write the file

Next to an input ticket or requirements file, naming it by replacing .REQUIREMENTS or .TICKET with .MANUAL-TEST (FOO.REQUIREMENTS.md → FOO.MANUAL-TEST.md); neither convention → append .MANUAL-TEST before .md. A code change with a planning home → <id>-<slug>.MANUAL-TEST.md beside the task's other artifacts. Otherwise (pasted text, a diff or patch file, a branch without artifacts) follow the project's/user's convention for where plans live (default: .agents/plans/) and write <id>-<slug>/<id>-<slug>.MANUAL-TEST.md there, id and slug from the branch name or PR, else a kebab-case slug from the content. An existing manual-test file of that name is replaced; the final message says so. Flag any guessed location or slug in the final message for the user to verify.

The file must be followable by someone unfamiliar with the ticket — short but complete. Four parts:

  1. What changed — 1–2 sentences: the feature and the user-visible difference.
  2. How to get there — concrete navigation to the affected area (entry point, page/screen name, any prerequisite state).
  3. Before vs after — how the area behaved before, how it should behave now.
  4. What to verify — checklist of behaviors to confirm, including edge cases (empty values, multiple items, boundaries) where relevant. A requirements document's Reproduction part, in the input or read for a code change, gives the first check, a regression check: its steps, passed when the expected behaviour it records shows. A ticket's own reproduction field isn't that part. A behaviour resting on an Open question of the input goes under a closing Not settled yet line, never as a plain check: on a non-blocking question, with its tentative answer; on a blocking one, listed as undecided, naming who decides when the input names them, with no expected value — never invented. Each point where a code change differs from its ticket — built but never asked for, or asked for but not built — goes under a closing Differs from the ticket line, with nothing invented for the missing side.

A change with nothing a person can test by hand (a refactor, a dependency bump, a backend change with no visible effect) still gets the file: part 1 says why, the other parts stay empty.

Before writing, actually invoke explain-in-simple-language and follow it — reciting its rules from memory does not count. Not installed: plain words, one idea per sentence, and nothing named only by a stand-in the reader hasn't seen.

Do not modify any source files; the only file you write is the manual-test document.

When done, state the manual-test file's project-relative path and, for a branch or PR, the target and the source state (tip or working tree) you diffed.

Frequently asked questions

What does the Create Manual Test Instructions AI skill do?

Turn a ticket, requirements document or code change (branch, PR, commit range, diff) into a concise QA manual-test file a non-author can follow. Invoke manually only.

Why use Create Manual Test Instructions on TypingMind?

Because you install it once and use it with any model. Create Manual Test Instructions 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 Create Manual Test Instructions in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/eai-org/agent-toolkit/tree/main/skills/create-manual-test-instructions. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Create Manual Test Instructions?

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 Create Manual Test Instructions?

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

Is the Create Manual Test Instructions AI skill free?

Yes. It is published on GitHub by eai-org 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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