Lesson Learned logo

Lesson Learned

OrganizationPopular
softaworks
lesson-learned

Analyze recent code changes via git history and extract software engineering lessons. Use when the user asks 'what is the lesson here?', 'what can I learn from this?', 'engineering takeaway', 'what did I just learn?', 'reflect on this code', or wants to extract principles from recent work.

Overview

Publishersoftaworks
Repositoryagent-toolkit
Skill namelesson-learned
Stars
2.5K
Forks
226
Bundled files
2
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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Lesson Learned 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.
  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/softaworks/agent-toolkit.git /tmp/agent-toolkit
mkdir -p .claude/skills
cp -r /tmp/agent-toolkit/skills/lesson-learned .claude/skills/lesson-learned
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Lesson Learned 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 Lesson Learned 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 Lesson Learned 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.

Lesson Learned

Extract specific, grounded software engineering lessons from actual code changes. Not a lecture -- a mirror. Show the user what their code already demonstrates.

Before You Begin

Load the principles reference first.

  1. Read references/se-principles.md to have the principle catalog available
  2. Optionally read references/anti-patterns.md if you suspect the changes include areas for improvement
  3. Determine the scope of analysis (see Phase 1)

Do not proceed until you've loaded at least se-principles.md.

Phase 1: Determine Scope

Ask the user or infer from context what to analyze.

ScopeGit CommandsWhen to Use
Feature branchgit log main..HEAD --oneline + git diff main...HEADUser is on a non-main branch (default)
Last N commitsgit log --oneline -N + git diff HEAD~N..HEADUser specifies a range, or on main (default N=5)
Specific commitgit show <sha>User references a specific commit
Working changesgit diff + git diff --cachedUser says "what about these changes?" before committing

Default behavior:

  • If on a feature branch: analyze branch commits vs main
  • If on main: analyze the last 5 commits
  • If the user provides a different scope, use that

Phase 2: Gather Changes

  1. Run git log with the determined scope to get the commit list and messages
  2. Run git diff for the full diff of the scope
  3. If the diff is large (>500 lines), use git diff --stat first, then selectively read the top 3-5 most-changed files
  4. Read commit messages carefully -- they contain intent that raw diffs miss
  5. Only read changed files. Do not read the entire repo.

Phase 3: Analyze

Identify the dominant pattern -- the single most instructive thing about these changes.

Look for:

  • Structural decisions -- How was the code organized? Why those boundaries?
  • Trade-offs made -- What was gained vs. sacrificed? (readability vs. performance, DRY vs. clarity, speed vs. correctness)
  • Problems solved -- What was the before/after? What made the "after" better?
  • Missed opportunities -- Where could the code improve? (present gently as "next time, consider...")

Map findings to specific principles from references/se-principles.md. Be specific -- quote actual code, reference actual file names and line changes.

Phase 4: Present the Lesson

Use this template:

markdown
## Lesson: [Principle Name]

**What happened in the code:**
[2-3 sentences describing the specific change, referencing files and commits]

**The principle at work:**
[1-2 sentences explaining the SE principle]

**Why it matters:**
[1-2 sentences on the practical consequence -- what would go wrong without this, or what goes right because of it]

**Takeaway for next time:**
[One concrete, actionable sentence the user can apply to future work]

If there is a second lesson worth noting (maximum 2 additional):

markdown
---

### Also worth noting: [Principle Name]

**In the code:** [1 sentence]
**The principle:** [1 sentence]
**Takeaway:** [1 sentence]

What NOT to Do

AvoidWhyInstead
Listing every principle that vaguely appliesOverwhelming and genericPick the 1-2 most relevant
Analyzing files that were not changedScope creepStick to the diff
Ignoring commit messagesThey contain intent that diffs missRead them as primary context
Abstract advice disconnected from the codeNot actionableAlways reference specific files/lines
Negative-only feedbackDemoralizingLead with what works, then suggest improvements
More than 3 lessonsDilutes the insightOne well-grounded lesson beats seven vague ones

Conversation Style

  • Reflective, not prescriptive. Use the user's own code as primary evidence.
  • Never say "you should have..." -- instead use "the approach here shows..." or "next time you face this, consider..."
  • If the code is good, say so. Not every lesson is about what went wrong. Recognizing good patterns reinforces them.
  • If the changes are trivial (a single config tweak, a typo fix), say so honestly rather than forcing a lesson. "These changes are straightforward -- no deep lesson here, just good housekeeping."
  • Be specific. Generic advice is worthless. Every claim must point to a concrete code change.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Lesson Learned AI skill do?

Analyze recent code changes via git history and extract software engineering lessons. Use when the user asks 'what is the lesson here?', 'what can I learn from this?', 'engineering takeaway', 'what did I just learn?', 'reflect on this code', or wants to extract principles from recent work.

Why use Lesson Learned on TypingMind?

Because you install it once and use it with any model. Lesson Learned 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 Lesson Learned in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/softaworks/agent-toolkit/tree/main/skills/lesson-learned. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Lesson Learned?

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 Lesson Learned?

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

Is the Lesson Learned AI skill free?

Yes. It is published on GitHub by softaworks 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇