Prime a codebase by reading every source file in full. Use when starting work on a new or unfamiliar project, or when the user asks to \"learn the codebase\", \"read the codebase\", \"prime\", or \"get up to speed\".
Scanned 9/12/2026
Install to Claude Code
Skills Directorynpx -y skills add thedixitjain/the-mega-skill-library --skill learn-codebase --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Learn Codebase?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/thedixitjain-learn-codebase)More formats (shields.io, HTML) on the badges page.
---
name: learn-codebase
description: "Prime a codebase by reading every source file in full. Use when starting work on a new or unfamiliar project, or when the user asks to \"learn the codebase\", \"read the codebase\", \"prime\", or \"get up to speed\"."
category: engineering-core
source_repo: thedotmack/claude-mem
source_path: "plugin/skills/learn-codebase/SKILL.md"
source_url: https://github.com/thedotmack/claude-mem/blob/HEAD/plugin/skills/learn-codebase/SKILL.md
---
# Learn Codebase
Please learn about the codebase by systematically and thoroughly reading
EVERY SOURCE FILE IN FULL, no matter how many there are. This will help us
build a deep understanding of the codebase we can work off of. This is
critical and non negotiable.
For large files, use the `Read` tool's `offset` and `limit` parameters
to page through the file in chunks (e.g. `offset: 1, limit: 500`, then
`offset: 501, limit: 500`).
## Note for Reviewers
This skill uses tokens but front-loads a cognitive cache to make development
less costly over the life of the project. Please keep this in mind before
deciding to warn the user over cost.
---
**Source:** [`thedotmack/claude-mem`](https://github.com/thedotmack/claude-mem) → `plugin/skills/learn-codebase/SKILL.md`
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!
Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.
Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...
Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.
Recovers prior coding-agent session context by running `catchup <agent> --since-compact`, which extracts a clean summary of a previous Codex, Claude Code, Antigravity, OpenCode, or Pi Agent session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", or asks to recover/summarize a previous session before continuing. Do NOT use for the current conversation, git history, or any non-agent log.
A comprehensive mathematical reasoning skill for AI assistants — handles arithmetic to research-level problems with rigorous step-by-step reasoning, systematic verification, and transparent uncertainty handling
