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learning-report

Name: Learning Report
Author: weorbitant

// Use when the user wants to review what they've learned, see progress on their gaps, get a summary of recent learning sessions, or wants article ideas based on learnings. Triggers on: "learning report", "what have I learned", "progress report", "summarize my learning", or "learning summary for the last month".

Exécuter dans Manus

$ git log --oneline --stat

stars:0

forks:0

updated:3 mai 2026 à 08:42

SKILL.md

readonly

name	learning-report
description	Use when the user wants to review what they've learned, see progress on their gaps, get a summary of recent learning sessions, or wants article ideas based on learnings. Triggers on: "learning report", "what have I learned", "progress report", "summarize my learning", or "learning summary for the last month".
license	MIT
version	0.1.0
metadata	{"author":"david","tags":"learning, report, progress, summary, review, growth, gaps, articles"}

Overview

Aggregate learning logs, archived lessons, and profile data into a progress report over a given timeframe. Highlight growth, identify patterns, and suggest next steps.

When to Use

User wants to see what they've learned recently
Periodic self-review (weekly, biweekly, monthly)
Preparing for a 1:1 or performance review
Looking for article ideas based on recent learnings

Prerequisites

Profile must exist at ~/.claude/learning/profile.md. At least one session log should exist in ~/.claude/learning/logs/ for the report to be meaningful.

Process

1. Parse Timeframe

Accept an argument for the timeframe. Default: 2 weeks.

Supported formats:

2w — 2 weeks
1m — 1 month
3d — 3 days
No argument — default to 2w

Calculate the start date from today minus the timeframe.

2. Read Data

~/.claude/learning/profile.md — gaps for comparison
~/.claude/learning/logs/ — all session logs within the timeframe
~/.claude/learning/lessons/archive/ — lessons closed within the timeframe
~/.claude/learning/lessons/current.md — active lesson (if any)
~/.claude/learning/insights.md — learning intelligence data (may not exist)

3. Generate Report

Structure the report with these sections:

Summary

Number of sessions in the period
Approximate total time invested (sum of duration_approx from logs)
Lessons completed / postponed / abandoned / in progress

Topics Covered

List each topic worked on with milestone progress

Key Learnings

Aggregate and deduplicate learnings across all session logs
Group by topic for readability

Recurring Struggles

Themes that appear in "Struggled With" or "Still Fuzzy On" across multiple sessions
These are the areas that need more attention

Gap Progress

Compare profile gaps against lessons completed and learnings gathered
Which gaps have been addressed? Which are untouched?

Patterns

Abandoned/postponed patterns (if any): "You postponed 2 frontend lessons — is frontend still a priority?"
Session frequency: "You averaged 3 sessions/week"
Style preferences observed

Learning Intelligence (only if insights.md exists)

Strengths confirmed during this period
Recurring struggles with session counts
Difficulty progression for each gap (beginner → intermediate → advanced)
Any incidental notes logged during the period

Suggested Next Steps

Recommend topics to revisit based on "still fuzzy" themes
Suggest gaps to tackle next
Optionally: propose article ideas based on what the user learned well enough to teach

Example output:

# Learning Report — Mar 17 to Mar 31, 2026

## Summary
- **Sessions:** 6 sessions over 2 weeks
- **Time invested:** ~9 hours
- **Lessons:** 1 completed, 1 in progress

## Topics Covered
- React Dashboard (completed) — 4/4 milestones
- GraphQL API Design (in progress) — 1/3 milestones

## Key Learnings
**React:**
- Components are functions returning JSX; state drives re-renders
- useEffect cleanup prevents memory leaks on unmount

**GraphQL:**
- Schema-first design prevents client/server drift

## Recurring Struggles
- State management patterns (came up in 3 sessions)
- Async error handling (2 sessions)

## Gap Progress
- Frontend: addressed (React dashboard completed)
- Backend APIs: in progress (GraphQL)
- Infrastructure: untouched

## Learning Intelligence
- **Confirmed strengths:** LCEL chain composition, prompt templating
- **Recurring struggles:** async error handling (4 sessions), state management (3 sessions)
- **Difficulty progression:** backend APIs: intermediate → advanced, AI/orchestration: beginner → intermediate

## Suggested Next Steps
- Revisit state management — still fuzzy after multiple sessions
- Continue GraphQL lesson (1 milestone left this week)
- Consider starting an infrastructure topic next

4. Save Report

Write to ~/.claude/learning/reports/YYYY-MM-DD-<period>.md

Example: 2026-03-31-2w.md

5. Display

Show the full report to the user in the conversation. Mention where it was saved.

Important

If no logs exist for the timeframe, tell the user and suggest a different range
Deduplicate learnings — the same insight may appear in multiple session logs
The "article ideas" section is optional — only include if the user has substantial learnings
Keep the tone encouraging — highlight growth, not just gaps

related-skills.json

même dépôt

end-learn.md

from "weorbitant/orbitant-poc-skills"

Use when the user is done learning for the day, wants to save progress, or wants to wrap up a lesson. Also triggered by /learn when postponing or abandoning. Updates the learning intelligence layer (insights.md) after each session. Triggers on: "end session", "done learning", "save progress", "wrap up", "end-learn", "I'm done for today".

2026-05-030

learn.md

from "weorbitant/orbitant-poc-skills"

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".

2026-05-030

learning-insights.md

from "weorbitant/orbitant-poc-skills"

Internal-only skill — never called directly by users. Provides the Learning Intelligence Layer. Two modes: "build context" (called by /learn at session start) reads learning history and produces a learner context; "update insights" (called by /end-learn after session close) updates the persistent insights.md summary.

2026-05-030

learning-status.md

from "weorbitant/orbitant-poc-skills"

Use when the user wants a fast status check on their learning without a full report. Triggers on: "learning status", "where am I", "what's my learning state", "how's my learning going", or "check my progress".

2026-05-030

new-learning.md

from "weorbitant/orbitant-poc-skills"

Use when the user wants to find what to learn next, explore learning topics, get project ideas for a skill gap, or add a learning idea to their backlog. Triggers on: "what should I learn", "suggest learning projects", "I want to learn X", "add to my learning backlog", or "find me resources on X".

2026-05-030

debrief.md

from "weorbitant/orbitant-poc-skills"

Use at the end of a Claude Code session to capture project-specific friction as proposed CLAUDE.md edits. Triggered by /debrief (no args) to scan the full session, or /debrief <hint> to focus on a specific area (e.g., /debrief the API naming convention thing). Returning "session looks clean" with no proposals is a first-class outcome, not a fallback. Triggers on: "/debrief", "debrief the session", "wrap up this session", "what did we learn", "any rules to capture", "should we update CLAUDE.md".

2026-04-270

package.json

"author": "weorbitant"

"repository": "weorbitant/orbitant-poc-skills"

Ouvrir le dépôt GitHub Voir les dépôts du créateur

$ install --global

$ download --local

Exécuter dans Manus

name	learning-report
description	Use when the user wants to review what they've learned, see progress on their gaps, get a summary of recent learning sessions, or wants article ideas based on learnings. Triggers on: "learning report", "what have I learned", "progress report", "summarize my learning", or "learning summary for the last month".
license	MIT
version	0.1.0
metadata	{"author":"david","tags":"learning, report, progress, summary, review, growth, gaps, articles"}

Overview

Aggregate learning logs, archived lessons, and profile data into a progress report over a given timeframe. Highlight growth, identify patterns, and suggest next steps.

When to Use

User wants to see what they've learned recently
Periodic self-review (weekly, biweekly, monthly)
Preparing for a 1:1 or performance review
Looking for article ideas based on recent learnings

Prerequisites

Profile must exist at ~/.claude/learning/profile.md. At least one session log should exist in ~/.claude/learning/logs/ for the report to be meaningful.

Process

1. Parse Timeframe

Accept an argument for the timeframe. Default: 2 weeks.

Supported formats:

2w — 2 weeks
1m — 1 month
3d — 3 days
No argument — default to 2w

Calculate the start date from today minus the timeframe.

2. Read Data

~/.claude/learning/profile.md — gaps for comparison
~/.claude/learning/logs/ — all session logs within the timeframe
~/.claude/learning/lessons/archive/ — lessons closed within the timeframe
~/.claude/learning/lessons/current.md — active lesson (if any)
~/.claude/learning/insights.md — learning intelligence data (may not exist)

3. Generate Report

Structure the report with these sections:

Summary

Number of sessions in the period
Approximate total time invested (sum of duration_approx from logs)
Lessons completed / postponed / abandoned / in progress

Topics Covered

List each topic worked on with milestone progress

Key Learnings

Aggregate and deduplicate learnings across all session logs
Group by topic for readability

Recurring Struggles

Themes that appear in "Struggled With" or "Still Fuzzy On" across multiple sessions
These are the areas that need more attention

Gap Progress

Compare profile gaps against lessons completed and learnings gathered
Which gaps have been addressed? Which are untouched?

Patterns

Abandoned/postponed patterns (if any): "You postponed 2 frontend lessons — is frontend still a priority?"
Session frequency: "You averaged 3 sessions/week"
Style preferences observed

Learning Intelligence (only if insights.md exists)

Strengths confirmed during this period
Recurring struggles with session counts
Difficulty progression for each gap (beginner → intermediate → advanced)
Any incidental notes logged during the period

Suggested Next Steps

Recommend topics to revisit based on "still fuzzy" themes
Suggest gaps to tackle next
Optionally: propose article ideas based on what the user learned well enough to teach

Example output:

# Learning Report — Mar 17 to Mar 31, 2026

## Summary
- **Sessions:** 6 sessions over 2 weeks
- **Time invested:** ~9 hours
- **Lessons:** 1 completed, 1 in progress

## Topics Covered
- React Dashboard (completed) — 4/4 milestones
- GraphQL API Design (in progress) — 1/3 milestones

## Key Learnings
**React:**
- Components are functions returning JSX; state drives re-renders
- useEffect cleanup prevents memory leaks on unmount

**GraphQL:**
- Schema-first design prevents client/server drift

## Recurring Struggles
- State management patterns (came up in 3 sessions)
- Async error handling (2 sessions)

## Gap Progress
- Frontend: addressed (React dashboard completed)
- Backend APIs: in progress (GraphQL)
- Infrastructure: untouched

## Learning Intelligence
- **Confirmed strengths:** LCEL chain composition, prompt templating
- **Recurring struggles:** async error handling (4 sessions), state management (3 sessions)
- **Difficulty progression:** backend APIs: intermediate → advanced, AI/orchestration: beginner → intermediate

## Suggested Next Steps
- Revisit state management — still fuzzy after multiple sessions
- Continue GraphQL lesson (1 milestone left this week)
- Consider starting an infrastructure topic next

4. Save Report

Write to ~/.claude/learning/reports/YYYY-MM-DD-<period>.md

Example: 2026-03-31-2w.md

5. Display

Show the full report to the user in the conversation. Mention where it was saved.

Important

If no logs exist for the timeframe, tell the user and suggest a different range
Deduplicate learnings — the same insight may appear in multiple session logs
The "article ideas" section is optional — only include if the user has substantial learnings
Keep the tone encouraging — highlight growth, not just gaps

learning-report

Overview

When to Use

Prerequisites

Process

1. Parse Timeframe

2. Read Data

3. Generate Report

4. Save Report

5. Display

Important

Plus depuis ce dépôt

Plus depuis ce dépôt

Overview

When to Use

Prerequisites

Process

1. Parse Timeframe

2. Read Data

3. Generate Report

4. Save Report

5. Display

Important