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Session Learn

Community
Mark393295827
session-learn

Use when a completed work session should yield durable concepts, corrections, decisions, reusable patterns, and a traceable next action.

Overview

PublisherMark393295827
Repositorythird-brain-v7-skills
Skill namesession-learn
Stars
141
Forks
22
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 Mark393295827 on GitHub. Read the source before you install it.

Installation

Install the Session Learn 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/Mark393295827/third-brain-v7-skills/tree/main/skills/session-learn
  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/Mark393295827/third-brain-v7-skills.git /tmp/third-brain-v7-skills
mkdir -p .claude/skills
cp -r /tmp/third-brain-v7-skills/skills/session-learn .claude/skills/session-learn
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Session Learn 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 Session Learn 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 Session Learn 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.

Session Learn

<skill_contract> Completed session objective, actions, artifacts, verification receipts, errors, decisions, and destination paths. Deduplicated durable deltas for concepts, entities, corrections, patterns, ideas, decisions, and gaps. Each retained delta is formatted, linked, logged, provenance-preserving, and paired with a traceable next action when unresolved. <non_goals>Automatic-capture claims without a hook, raw transcript storage, conversational filler, or immutable-source edits.</non_goals>

Close a session by extracting only reusable deltas. Invocation must be explicit or performed by a verified external hook; this skill never claims it ran automatically.

Usage Template

Provide: session objective, actions, outputs, verification receipts, errors, decisions, and destination paths. Optional: existing notes for deduplication.

Workflow

Establish the session boundary and compare intended versus observed result. Ignore conversational filler and separate execution evidence from retrospective interpretation.

<unknowns_gate>

If the session outcome or evidence is unavailable, return INSUFFICIENT_EVIDENCE. Ask for a missing artifact only when it determines whether a lesson is valid; otherwise preserve it as an unresolved gap.

</unknowns_gate>

Scan for seven signal types:

  1. Concept — a stable mechanism worth linking.
  2. Entity — a person, system, project, or tool requiring durable context.
  3. Correction — a prior belief or procedure disproved by evidence.
  4. Pattern — a reusable Trigger -> Execute -> Verify -> State sequence.
  5. Idea — an untested possibility, explicitly provisional.
  6. Decision — choice, rationale, alternatives, owner, and review condition.
  7. Gap — an unknown with a probe or escalation path.

Apply Closure Protocol: Format the smallest durable note, Link it to source/project/concepts, and Log the write plus verification. Merge semantic duplicates; preserve source immutability and provenance.

For each candidate ask: Is it new, reusable, traceable, and decision-relevant? Reject session-specific trivia and unsupported generalizations. Confirm each write exists and links resolve before reporting closure.

<state_contract>

Persist {run_id, status, attempt, budget, evidence, unknowns, last_error, next_action} plus session id, extracted candidates, accepted/rejected reasons, write paths, links, and closure receipt. Append corrections; do not erase superseded beliefs.

</state_contract>

Failure Protocol

  • INSUFFICIENT_EVIDENCE: artifacts cannot establish the lesson; preserve it as a gap.
  • BLOCKED_PERMISSION: the destination is read-only; return the proposed note and path without claiming a write.
  • VERIFY_FAILED: a write or link check fails; repair once or return the exact failure.
  • BUDGET_STOP: rank remaining candidates by reuse value and persist the queue.

Output Contract

Return status, result (accepted knowledge deltas), evidence (session receipts and write checks), unknowns, and next_action.

Edge Cases

  • The same concept already exists: update or link the durable note; do not create a title variant.
  • The session ended unsuccessfully: capture the falsified assumption, failure evidence, and recovery path rather than a false success pattern.

Success Metrics

  • Every accepted learning is traceable to session evidence.
  • Durable notes are deduplicated, linked, and verified after write.
  • At least one correction, decision, pattern, or gap improves future execution when present.

Quality Gates

  • Invocation provenance is explicit; no fake auto-trigger claim.
  • Facts, interpretations, and ideas are distinguishable.
  • Source material remains immutable.
  • Closure includes Format, Link, Log, and a receipt.

</skill_contract>

Frequently asked questions

What does the Session Learn AI skill do?

Use when a completed work session should yield durable concepts, corrections, decisions, reusable patterns, and a traceable next action.

Why use Session Learn on TypingMind?

Because you install it once and use it with any model. Session Learn 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 Session Learn in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Mark393295827/third-brain-v7-skills/tree/main/skills/session-learn. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Session Learn?

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 Session Learn?

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

Is the Session Learn AI skill free?

Yes. It is published on GitHub by Mark393295827 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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