A skill your agent uses when a completed work session should yield durable concepts, corrections, decisions, reusable patterns, and a traceable next action.

MITAuto-check passed

Install Session Learn

skills CLI
$ npx skills add Mark393295827/third-brain-v7-skills --skill session-learn -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Mark393295827/third-brain-v7-skills session-learn --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Mark393295827/third-brain-v7-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/session-learn .claude/skills/session-learn && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
session-learn
GitHub stars
141
Token cost
~1.1k tokens
SKILL.md length
483 words
Files
1
Skills in repo
21
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when a completed work session should yield durable concepts, corrections, decisions, reusable patterns, and a traceable next action.

  • Works in 7 steps: Concept — a stable mechanism worth… → Entity — a person, system, project, or… → Correction — a prior belief or procedure… → …
  • A completed work session should yield durable concepts
  • SKILL.md covers Usage Template, Workflow, Failure Protocol and Output Contract, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Session Learn is an agent skill from Mark393295827/third-brain-v7-skills. Use when a completed work session should yield durable concepts, corrections, decisions, reusable patterns, and a traceable next action.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: agent wiki +engineering skills. The licence is MIT.

When your agent uses it

  • A completed work session should yield durable concepts
  • Reusable patterns
  • A traceable next action

Example prompts

  • “/session-learn”

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  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.

What it can do on your machine

Read from SKILL.md and the folder at commit 5a64514. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Session Learn loads about 1.1k tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 483 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~38
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Mark393295827/third-brain-v7-skills at commit 5a64514, republished under its MIT licence (© Mark393295827). 483 words, ~1,107 tokens.

Download SKILL.mdSave it as .claude/skills/session-learn/SKILL.md (or your agent's skills folder).
name
session-learn
description
Use when a completed work session should yield durable concepts, corrections, decisions, reusable patterns, and a traceable next action.
metadata.version
8.1.0
metadata.updated
2026-08-18
metadata.profile
stateful
metadata.assumes
The session transcript, artifacts, or execution receipts are available.
metadata.conflicts_with
Claiming automatic capture without a configured hook, storing raw noise as knowledge, or changing immutable sources.

Session Learn

<skill_contract> <input>Completed session objective, actions, artifacts, verification receipts, errors, decisions, and destination paths.</input> <output>Deduplicated durable deltas for concepts, entities, corrections, patterns, ideas, decisions, and gaps.</output> <done>Each retained delta is formatted, linked, logged, provenance-preserving, and paired with a traceable next action when unresolved.</done> <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

<intake>

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

</intake>

<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>

<execute>

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.

</execute>
<evaluate>

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.

</evaluate>

<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>

Show full SKILL.md (169 more words)Show less

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>

© Mark393295827, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/session-learn of Mark393295827/third-brain-v7-skills.

Open the folder on GitHubat commit 5a64514

Compare with similar skills

Session Learn next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Session Learn compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Session Learn this skillMark393295827/third-brain-v7-skills141—~1.1kAutomated safety check: PassMIT
Learning to Learn (OpenMAIC)THU-MAIC/OpenMAIC40k—~502Automated safety check: PassMIT
Scikit LearnK-Dense-AI/scientific-agent-skills48k1 repos~3.3kAutomated safety check: NotesBSD-3-Clause
Project Learnings Managergarrytan/gstack136k—~8.2kAutomated safety check: NotesMIT
Continuous Learningaffaan-m/ECC274k—~1.1kAutomated safety check: PassMIT
Continuous Learningaffaan-m/ECC274k—~1.2kAutomated safety check: PassMIT

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Questions about Session Learn

What does Session Learn do?

A skill your agent uses when a completed work session should yield durable concepts, corrections, decisions, reusable patterns, and a traceable next action. Session Learn is an agent skill from Mark393295827/third-brain-v7-skills. Use when a completed work session should yield durable concepts, corrections, decisions, reusable patterns, and a traceable next action.

When should I use Session Learn?

Session Learn fits situations like: A completed work session should yield durable concepts; reusable patterns; A traceable next action.

How do I install Session Learn in Claude Code?

Run `npx skills add Mark393295827/third-brain-v7-skills --skill session-learn -a claude-code`. Or copy the skill folder (skills/session-learn in Mark393295827/third-brain-v7-skills) into .claude/skills/session-learn in your project. Claude Code loads it when a task matches its description.

How do I install Session Learn in Codex?

Run `npx skills add Mark393295827/third-brain-v7-skills --skill session-learn -a codex`. Or copy the skill folder (skills/session-learn in Mark393295827/third-brain-v7-skills) into .agents/skills/session-learn in your project. Codex loads it when a task matches its description.

Can I use Session Learn in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Mark393295827/third-brain-v7-skills --skill session-learn -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/session-learn, .gemini/skills/session-learn, .github/skills/session-learn and .opencode/skills/session-learn in your project.

What does Session Learn need to run?

SKILL.md names no scripts, command-line tools or credentials: Session Learn is instructions for the agent only.

Does Session Learn access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Session Learn safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Session Learn use?

Session Learn is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Session Learn use?

About 1.1k tokens (SKILL.md is roughly 4.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Session Learn?

Skills that share tags, products or a category with Session Learn: Learning to Learn (OpenMAIC) (THU-MAIC/OpenMAIC, 40k stars), Scikit Learn (K-Dense-AI/scientific-agent-skills, 48k stars), Project Learnings Manager (garrytan/gstack, 136k stars) and Continuous Learning (affaan-m/ECC, 274k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Session Learn?

Mark393295827 (a GitHub user) maintains it in Mark393295827/third-brain-v7-skills, which has 141 GitHub stars. The repository holds 21 skills in this directory. The repository was last updated on September 19, 2026.

Source: Mark393295827/third-brain-v7-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.