Ejecuta cualquier Skill en Manus
con un clic

Ejecuta cualquier Skill en Manus con un clic

orbitant-learn

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Actualizado5 de junio de 2026 a las 11:07

Use when the user wants to sit down and learn, continue a lesson, practice a skill, or work through a learning project. Triggers on: "let's learn", "continue my lesson", "start learning", "practice", "I have time to learn", or "pick up where I left off".

Instalación

Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.

Ejecutar en Manus

Fuente

weorbitant

weorbitant/orbitant-os

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Ejecutar en Manus

Ocupaciones relacionadasSOC

Basado en la clasificación ocupacional SOC

Profesores de ciencias de la computación, postsecundarioEducación y bibliotecas·SOC 25-1021

SKILL.md

readonly

name	orbitant-learn
description	Use when the user wants to sit down and learn, continue a lesson, practice a skill, or work through a learning project. Triggers on: "let's learn", "continue my lesson", "start learning", "practice", "I have time to learn", or "pick up where I left off".
license	MIT
version	0.1.0
metadata	{"author":"david","tags":"learning, session, lesson, practice, teaching, milestones, hands-on, reading"}

Overview

The core learning experience. Start a new lesson from the backlog, resume the current one, or pick up a postponed lesson. Deliver content adapted to the user's chosen style, track observations silently, and pace to the user's session length.

When to Use

User wants to start a learning session
User wants to continue where they left off
User has free time and wants to learn

Prerequisites

Profile must exist at ~/.claude/learning/profile.md. If not, tell the user: "No learning profile found. Run /init-learning first to set up your profile."

Process

1. Load State

Read these files:

~/.claude/learning/profile.md — style preference, session_length
~/.claude/learning/lessons/current.md — active lesson (may not exist)
~/.claude/learning/backlog.md — available items
Scan ~/.claude/learning/lessons/archive/ for lessons with status: postponed

2. Route

If current lesson exists (current.md is present):

Show: "You have an active lesson: [topic] — milestone X/Y. Last session: [date]."
Options: Continue / Postpone / Abandon
If Postpone or Abandon: trigger the /end-learn closing flow (ask reason if abandoning), then proceed to "no current lesson" flow below

If no current lesson:

List postponed lessons (if any): "You have postponed lessons you can resume:"
List backlog items: "Your backlog:"
User picks one
If postponed lesson picked: move it from archive/ back to lessons/current.md, resume from last milestone
If backlog item picked: expand into a full lesson — generate milestones fitted to session_length, create lessons/current.md

2.5. Build Learner Context

Invoke the learning-insights skill in "build context" mode. It reads archived lessons, session logs, and insights.md to produce a learner context.

If fuzzy_topics found, flag them to the user: "Before we start — these came up as fuzzy in past sessions:

[topic] (from [lesson], [timeframe ago])
[topic] (from [lesson], [timeframe ago]) Want to spend a few minutes on any of these, or dive in?"

Wait for the user's choice. If they want to review, spend a few minutes on the topic (a quick question or explanation), then proceed to the lesson. If they want to dive in, proceed.

If cross_topic_patterns found, mention briefly: "Heads up: I've noticed [theme] keeps coming up across different topics. I'll keep an eye on that today."

This is informational only — do not wait for a response, proceed to Session Start.

Difficulty adjustment feeds into milestone generation in step 4:

If the trend says "advanced" for this gap: skip beginner scaffolding, present harder challenges
If "beginner": provide more guidance, smaller steps
If no data yet: use default difficulty (intermediate)

3. Session Start

Ask: "Hands-on or reading today?" (show the default from profile, user can override)

If hands-on, also ask: "Where should we create the project?" (suggest a path, user confirms)

Record project_path in current.md

4. Deliver Content

Adapt to the chosen style for this session:

Challenge-based:

Present the milestone as a problem statement with clear success criteria
Let the user work — do not write the solution
Give hints only when the user asks or is clearly stuck
Review the user's code/work, point out issues, suggest improvements
When the milestone is met, confirm and move to the next

Example challenge prompt:

**Milestone 2: Fetch real API data**

Your task: Replace the mock data with real API calls.

**Success criteria:**
- App fetches data from the /api/metrics endpoint on mount
- Shows a loading spinner while fetching
- Displays an error message if the request fails
- Table renders with real data on success

**Hints available** — just ask if you get stuck. Try it yourself first!

Guided:

Walk through the milestone step by step
Explain concepts as you go — WHY, not just how
Write some code, then ask the user to write the next piece
More scaffolding than challenge-based, but still ask the user to do the work
After each step, check understanding: "Makes sense? Any questions before we move on?"

Reading:

Curate relevant articles, documentation, or book chapters (use web search for up-to-date content)
Explain key concepts in your own words — concise, not lecture-style
After each concept block, ask a comprehension question to test understanding
Propose thought exercises (no coding required)
This mode works on mobile — keep responses readable, use short paragraphs, avoid code blocks when possible

5. Silent Observation Tracking

Throughout the session, silently track these observations (do NOT show them to the user during the session — they are for /end-learn):

Hints given: what the user asked for help with, and what hint you provided
Struggles: where the user got stuck, made repeated mistakes, or needed multiple attempts
Nailed it: things the user got right on the first try
Aha moments: when the user demonstrated sudden understanding
Questions asked: what the user was curious about

Keep these observations in your conversation context as a mental running list. They will be synthesized by /end-learn. Do NOT write them to any file during the session.

Example internal observation (never shown to user):

Observation: Hint given — user confused useState return value, explained it's [value, setter].
Observation: Nailed it — destructuring props on first try without help.
Observation: Struggle — tried to mutate state directly 3 times before understanding immutability.

6. Time Awareness

Track approximate elapsed time based on conversation flow
When approaching the user's session_length: "You're at about ~Xm — good stopping point after this exercise, or keep going?"
Never cut the user off — always let them choose to continue
If a milestone completes near the time limit, suggest ending: "Milestone done! Great stopping point."

7. Session End

When the user wants to stop (or you suggest stopping and they agree):

Tell the user: "Run /end-learn to save your progress and capture what you learned."
Do NOT write files yourself — /end-learn handles all persistence

Milestone Design (when expanding from backlog)

When creating a new lesson from a backlog item:

Each milestone should be completable in one session (user's session_length)
Milestones build on each other — each one produces a visible, testable result
First milestone is always the simplest — get something working immediately
Last milestone adds polish or advanced features
For reading lessons: milestones are topic chunks, not code deliverables

Important

ONE lesson at a time — never create a second current.md
Observation tracking is SILENT — do not show the user your notes mid-session
Respect the user's style choice — do not switch styles mid-session unless asked
If the backlog is empty and no lessons exist, suggest running /new-learning
Preserve current.md session log between sessions — append, don't overwrite

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**Milestone 2: Fetch real API data** Your task: Replace the mock data with real API calls. **Success criteria:** - App fetches data from the /api/metrics endpoint on mount - Shows a loading spinner while fetching - Displays an error message if the request fails - Table renders with real data on success **Hints available** — just ask if you get stuck. Try it yourself first!

Observation: Hint given — user confused useState return value, explained it's [value, setter]. Observation: Nailed it — destructuring props on first try without help. Observation: Struggle — tried to mutate state directly 3 times before understanding immutability.