A command that reviews the current conversation and code changes to find reusable lessons, good practices, mistakes, and code examples.

Use it after a coding session to record discoveries, prevention tips, reusable snippets, and possible updates to project guidance.

It turns work that would otherwise be forgotten into documented patterns for later tasks.

learn — Command by tpavanipradeep

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods

npx agentmods add commands/tpavanipradeep/everything-claude-code/learn

Clone the repo

git clone --depth 1 https://github.com/tpavanipradeep/everything-claude-code

Per session 8 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 324 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin 100% copy Near-identical to another mod in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5	$0.00008	$0.00324
Opus 5	$0.00004	$0.00162
Sonnet 5	$0.00002	$0.00065
Haiku 4.5	$0.00001	$0.00032

Measured 2d ago against content hash 67b1f6181411, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

learn scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to learn — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.opencode/commands/learn.md · 62 lines

What it actually says

Learn Command

Extract patterns, learnings, and reusable insights from the current session: $ARGUMENTS

Your Task

Analyze the conversation and code changes to extract:

Patterns discovered - Recurring solutions or approaches
Best practices applied - Techniques that worked well
Mistakes to avoid - Issues encountered and solutions
Reusable snippets - Code patterns worth saving

Output Format

Patterns Discovered

Pattern: [Name]

Context: When to use this pattern
Implementation: How to apply it
Example: Code snippet

Best Practices Applied

[Practice name]
- Why it works
- When to apply

Mistakes to Avoid

[Mistake description]
- What went wrong
- How to prevent it

Suggested Skill Updates

If patterns are significant, suggest updates to:

skills/coding-standards/SKILL.md
skills/[domain]/SKILL.md
rules/[category].md

Instinct Format (for continuous-learning-v2)

{
  "trigger": "[situation that triggers this learning]",
  "action": "[what to do]",
  "confidence": 0.7,
  "source": "session-extraction",
  "timestamp": "[ISO timestamp]"
}

TIP: Run /learn periodically during long sessions to capture insights before context compaction.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2d ago First seen · 62 lines · 8 tokens per session scan A 67b1f6181411

Subscribe to this mod's changes

learn is a command published in the GitHub repository tpavanipradeep/everything-claude-code (103 stars, last pushed 5mo ago), licensed MIT. It adds 8 tokens to every session and 324 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to learn, differing in 0 lines, and is treated as a copy.

Learning and teaching

learn