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Implementation Notes

Community
Neeeophytee
implementation-notes

Keep a running implementation-notes.md during a build, logging every deviation from the plan and every discovered edge case. Use whenever implementing against an agreed plan or spec, especially in long autonomous sessions.

Overview

PublisherNeeeophytee
Repositoryfinding-unknowns-skills
Skill nameimplementation-notes
Stars
353
Forks
28
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 Neeeophytee on GitHub. Read the source before you install it.

Installation

Install the Implementation Notes 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/Neeeophytee/finding-unknowns-skills/tree/main/skills/implementation-notes
  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/Neeeophytee/finding-unknowns-skills.git /tmp/finding-unknowns-skills
mkdir -p .claude/skills
cp -r /tmp/finding-unknowns-skills/skills/implementation-notes .claude/skills/implementation-notes
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Implementation Notes 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 Implementation Notes 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 Implementation Notes 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.

Implementation notes

No amount of planning removes every unknown; some only appear once the code is open. When the territory disagrees with the plan, don't stop and don't silently improvise — take the conservative option, write it down, and keep going. The notes file is how the next attempt learns from this one.

Steps

  1. At the start of the build, create implementation-notes.md with three headings: Deviations, Discovered edge cases, Questions for review.
  2. Whenever reality forces a choice the plan didn't cover:
    • pick the conservative option (the one that's easiest to reverse),
    • log it under Deviations: what the plan said, what was done instead, why, and what it would take to revisit,
    • continue working. Do not block on the user for reversible decisions.
  3. Log edge cases as they're found, even ones handled cleanly — they are exactly the unknowns the next plan should account for.
  4. Anything irreversible or scope-changing goes under Questions for review AND stops the work at a safe checkpoint. Deviating conservatively is fine; deviating expensively needs a human.
  5. At the end, append a five-line summary: deviations count, the one most likely to be revisited, edge cases found, and what the next session should read first. Reference the file in the handoff or PR.

Guardrails

  • The notes file is temporary working memory, not documentation. Keep entries to 2-3 lines each.
  • Never let the notes drift from reality — an unlogged deviation is worse than no notes at all, because the file claims completeness.
  • "Conservative" means reversible, not necessarily simple.

Frequently asked questions

What does the Implementation Notes AI skill do?

Keep a running implementation-notes.md during a build, logging every deviation from the plan and every discovered edge case. Use whenever implementing against an agreed plan or spec, especially in long autonomous sessions.

Why use Implementation Notes on TypingMind?

Because you install it once and use it with any model. Implementation Notes 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 Implementation Notes in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Neeeophytee/finding-unknowns-skills/tree/main/skills/implementation-notes. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Implementation Notes?

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 Implementation Notes?

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

Is the Implementation Notes AI skill free?

Yes. It is published on GitHub by Neeeophytee 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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