Learn from session
My agent skills.
npx -y skills add Arcadi4/skills --skill learn-from-sessionAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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Use when extracting reusable patterns from session history to create skills, analyzing completed work to identify generalizable workflows, or when writing skill trigger descriptions that need to be concept-anchored rather than example-based.
The file declares its own license as CC-BY-SA-4.0. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
5.6 KB, ~1.1k tokens by cl100k_base, as published. Nobody here has run it
Learning From Sessions
Overview
Sessions contain concrete problem-solving patterns. When a workflow proves valuable, extract it into a reusable skill. This skill guides pattern identification from session history and skill document production.
When to Use
Triggers:
- User says "learn from this session", "make a skill from this", "extract a pattern"
- You've solved a complex problem and the approach seems reusable
- Writing skill trigger descriptions or documentation rules
- Multiple sessions show the same problem-solving pattern
Do NOT use when:
- Creating skills from scratch without session examples
- One-off, context-specific work with no clear pattern
- User wants to generalize requirements for implementation (use
generalizeskill)
Skill Trigger Writing
When writing skill descriptions, trigger lists, and documentation rules: name the underlying condition first; keep examples as symptoms. If trigger text lets a reader identify the user's examples as the use case, re-climb the abstraction ladder.
Why This Matters
When examples remain recognizable, they anchor the output to the source case. Readers pattern-match the example instead of understanding the concept.
Example:
❌ Example-anchored: "Use when handling 401 errors on login" ✅ Concept-anchored: "Use when handling authentication failures across user-facing flows"
The second version covers login, signup, password reset, session refresh — all instances of the same concept. The first version only triggers when someone sees "401" and "login" together.
Validation for Skill Triggers
After writing a trigger description, verify:
- Concept or rename? Present trigger without examples. Would user recognize when to use it?
- Reader can't identify source examples. If they can pick out the original case, restructure by concept.
- Concept stable through enumeration. Every domain traces to the underlying capability, not the specific instance.
Session Pattern Extraction
Look for these patterns in session history:
| Pattern Type | Session Signals | Skill Opportunity |
|---|---|---|
| Repeated workflow | Same tool sequence across multiple tasks | Codify the sequence |
| Decision tree | "If X then Y, else Z" logic you followed | Capture the branching |
| Failure recovery | You tried A, failed, then B worked | Document the diagnostic path |
| Tool combination | Specific tools used together effectively | Create combo workflow |
| Validation sequence | Checks you ran before claiming completion | Standardize verification |
Extraction Process
Step 1: Identify the trigger
What user request or situation initiated the valuable work?
- Extract the intent, not the specific words
- Identify the problem class, not the instance
- Note context clues that signal this pattern applies
Step 2: Trace the workflow
What did you actually do? Chronological steps:
- Tool calls made
- Decisions at each branch point
- What you checked before proceeding
- How you validated results
Step 3: Abstract the concept
What capability does this workflow provide?
- Name it by the outcome, not the steps
- One sentence: "This skill helps you [achieve X] by [approach Y]"
- Test: Would someone searching for this capability find it by this name?
Step 4: Generalize the context
When else would this workflow apply?
- What varies between instances? (parameters)
- What stays constant? (structure)
- What are the boundaries? (when NOT to use this)
Step 5: Structure the skill
Convert to skill document format:
---
name: [capability-name]
description: Use when [trigger patterns]. [One-line value prop].
---
# [Skill Name]
## Overview
[What this skill does, why it exists]
## When to Use
**Triggers:**
- [Specific request patterns - concept-anchored]
- [Context signals]
**Do NOT use when:**
- [Boundary conditions]
## Workflow
[Step-by-step process extracted from session]
## Validation
[How to verify the workflow succeeded]
## Examples
[Concrete cases from the session that inspired this]
Step 6: Validate
Test questions:
- Would this skill have helped at session start? If you'd loaded this skill before the work, would it have guided you correctly?
- Is the trigger clear? Can you identify when to load this skill without ambiguity?
- Is the workflow complete? Does it cover the full path from trigger to completion?
- Are boundaries explicit? Is it clear when NOT to use this?
- Can someone else follow it? Is it concrete enough to execute without guessing?
- Trigger text concept-anchored? Names the condition, not the examples.
Common Pitfalls
Rename-as-extract: Your "skill" is just the session transcript reformatted. Test: Remove all session-specific details. Does a general workflow remain?
Over-specific: Skill only applies to the exact case you just solved. Test: Can you name 3 other situations where this skill would apply?
Under-specific: Skill is too vague to execute. Test: Could someone follow this without asking clarifying questions?
Missing boundaries: Skill doesn't say when NOT to use it. Test: Can you identify cases where this skill would mislead?
Example-anchored triggers: Trigger description lets readers identify the source case. Test: Remove examples from trigger. Does it still clearly indicate when to use?
Gives 0 of the 12 instructions most learn study skills give in ~1.1k tokens
Counted across 546 of the 573 authors here whose files we hold, read 2026-08-07
- calculate the zone of proximal development before teachingin 25 of 546, across 8 files
- produce self-contained HTML lessonsin 24 of 546, across 8 files
- record user preferences in a notes filein 23 of 546, across 5 files
- maintain a teaching workspace in the current directoryin 21 of 546, across 4 files
- find high-quality resources before writing lessonsin 19 of 546, across 5 files
- make lessons beautiful, short, and quickly completablein 19 of 546, across 3 files
- create reusable components for lessonsin 19 of 546, across 5 files
- create compressed reference documents for quick lookupin 19 of 546, across 3 files
- update the mission file and records upon mission changesin 16 of 546, across 2 files
- set min_dist to 0.0 for clustering preprocessingin 16 of 546, across 6 files
- populate the mission file before teachingin 15 of 546, across 1 file
- include interactive feedback loops in lessonsin 15 of 546, across 1 file
Said here and by no other author read
- extract reusable patterns from session history
- name the underlying condition first
- keep examples as symptoms
- re-climb the abstraction ladder if examples are recognizable
- present trigger without examples
- trace the workflow chronologically
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.