How do I install the Learned skill?

Run npx skillmds@latest add gasserane/learned in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Learned safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Learned?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Learned free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Learned?

gasserane (@gasserane) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Learned by gasserane — Agent Skill

Name: Learned
Rating: 4.2 (5 reviews)
Author: gasserane

Learned

Fast post-deliverable learning capture. Use when Ane types "/learned", or says "capture what I learned", "log a learning", "what did I learn from this", or wants a quick 4-line note after finishing a piece of work. Appends a dated entry to the running learning log in the Obsidian vault. The explicit-command sibling of journal-reflection's Post-deliverable capture mode; for end-of-day, weekly, decision-review, or new-framework reflection, use journal-reflection instead.

gasserane Updated Sep 9, 2026

File contents

/learned — post-deliverable learning capture

A 30-second human-learning loop: capture what a finished piece of work taught you, before it evaporates. This is the explicit-command entry point to the Post-deliverable capture mode defined in the journal-reflection skill — that skill holds the canonical procedure; this one is the fast /learned trigger. Origin: video-insights improvement #14.

When to use

After finishing any substantive deliverable, when you want to bank the lesson. For a fuller reflection (end-of-day, end-of-week, a past decision, or a new framework), use journal-reflection instead — those are its other four modes.

/ wrap-up already offers this at session end; /learned is for any other moment.

What to do

Ask these four, one at a time. Keep each answer to one line. Do not auto-answer; Ane's words go in verbatim.

What did this deliverable teach you about the work?
What would you do differently next time?
One thing to carry forward.
What worked that you want repeated? (success extraction)

If Ane does not name the deliverable, ask for a 2–4 word label.

Success routing. If answer 4 names a repeatable system behaviour (a prompt pattern, a workflow, a specialist or model choice), offer to also bank it as a feedback memory with Why: and How to apply: lines — one yes/no, no push. This gives /improve-system confirmed successes to trend, not only corrections. The vault entry records all four answers either way.

File placement

Append to the single running log 5 JURNAL/Learning/deliverable-learning-log.md in the Obsidian vault (OBSIDIAN_VAULT_ROOT = C:/Users/AGasser/OneDrive/Ane Obsidian Vault), exactly as the journal-reflection Post-deliverable capture mode specifies:

If the file does not exist, create it with YAML frontmatter (type: learning-log) and an H1, then add the first entry.
If it exists, append a new ## YYYY-MM-DD — <deliverable label> section with the four answers as bullets, preserving all prior entries byte-identical (edit-preservation; apply mel_wiki/wiki/concepts/edit-preservation-protocol.md).

Local-only: if the vault path is not reachable (web session, other device), return the markdown in the reply and name the target path so Ane can save it manually.

Limitations

Do not invent reflections. Do not lecture. One capture per invocation. This skill does not replace journal-reflection — it is the quick post-deliverable slice of it.

---name: learneddescription: Fast post-deliverable learning capture. Use when Ane types "/learned", or says "capture what I learned", "log a learning", "what did I learn from this", or wants a quick 4-line note after finishing a piece of work. Appends a dated entry to the running learning log in the Obsidian vault. The explicit-command sibling of journal-reflection's Post-deliverable capture mode; for end-of-day, weekly, decision-review, or new-framework reflection, use journal-reflection instead.--- # /learned — post-deliverable learning capture A 30-second human-learning loop: capture what a finished piece of work taught you, before it evaporates. This is the explicit-command entry point to the **Post-deliverable capture** mode defined in the `journal-reflection` skill — that skill holds the canonical procedure; this one is the fast `/learned` trigger. Origin: video-insights improvement #14. ## When to use After finishing any substantive deliverable, when you want to bank the lesson. For a fuller reflection (end-of-day, end-of-week, a past decision, or a new framework), use `journal-reflection` instead — those are its other four modes. / wrap-up already offers this at session end; `/learned` is for any other moment. ## What to do Ask these four, one at a time. Keep each answer to one line. Do not auto-answer; Ane's words go in verbatim. 1. What did this deliverable teach you about the work? 2. What would you do differently next time? 3. One thing to carry forward. 4. What worked that you want repeated? (success extraction) If Ane does not name the deliverable, ask for a 2–4 word label. **Success routing.** If answer 4 names a repeatable system behaviour (a prompt pattern, a workflow, a specialist or model choice), offer to also bank it as a `feedback` memory with **Why:** and **How to apply:** lines — one yes/no, no push. This gives `/improve-system` confirmed successes to trend, not only corrections. The vault entry records all four answers either way. ## File placement Append to the single running log `5 JURNAL/Learning/deliverable-learning-log.md` in the Obsidian vault (`OBSIDIAN_VAULT_ROOT` = `C:/Users/AGasser/OneDrive/Ane Obsidian Vault`), exactly as the `journal-reflection` Post-deliverable capture mode specifies: - If the file does not exist, create it with YAML frontmatter (`type: learning-log`) and an H1, then add the first entry. - If it exists, append a new `## YYYY-MM-DD — <deliverable label>` section with the four answers as bullets, preserving all prior entries byte-identical (edit-preservation; apply `mel_wiki/wiki/concepts/edit-preservation-protocol.md`). Local-only: if the vault path is not reachable (web session, other device), return the markdown in the reply and name the target path so Ane can save it manually. ## Limitations Do not invent reflections. Do not lecture. One capture per invocation. This skill does not replace `journal-reflection` — it is the quick post-deliverable slice of it.

Frequently asked questions