Claude With Skills is a progressive course that teaches developers to create reusable, portable Agent Skills for Claude Code, from basic SKILL.md files to advanced automation and plugin packaging. It is intended for developers who want repeatable instructions and workflows instead of repeatedly pasting the same guidance. The catalogue contains the course's skills, agents, and instruction.
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.
npx skills add davila7/claude-with-skills --skill 01-explain-codegit clone --depth 1 https://github.com/davila7/claude-with-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/davila7/claude-with-skills/01-explain-code)<a href="https://agentmods.dev/skills/davila7/claude-with-skills/01-explain-code"><img src="https://agentmods.dev/badge/skills/davila7/claude-with-skills/01-explain-code/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/davila7/claude-with-skills/01-explain-code"><img src="https://agentmods.dev/badge/skills/davila7/claude-with-skills/01-explain-code.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 5.1 | $0.00052 | $0.00426 |
| Opus 5.5 | $0.00021 | $0.00170 |
| Sonnet 5.5 | $0.00010 | $0.00085 |
| Haiku 4.5 | $0.00005 | $0.00043 |
Grade A, and why
explain-code 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 2mo 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.
What it actually says
Instructions
-
Identify the code to explain. In order of priority:
- Code the user just pasted or attached in this conversation
- The last file that was opened or discussed
- If it is unclear, ask the user to paste or point to the specific code before proceeding
-
Identify the programming language. Do not assume from the file extension alone — check the syntax if the extension is missing or ambiguous.
-
Explain the code in plain language covering these three areas:
Overall purpose — What does this code do? What problem does it solve or what action does it perform? State this in one or two sentences without using the function or variable names as a substitute for explanation.
Main data flow — How does data move through the code? What comes in, what happens to it, and what comes out? For a function: inputs, transformations, output. For a class: how instances are created and how their state changes. For a script: what it reads, what it produces.
Non-obvious logic — Is there any behavior that would surprise a competent programmer reading this for the first time? Flag things like: side effects, error suppression, hardcoded assumptions, subtle timing dependencies, or clever bitwise operations.
-
Use an analogy if it genuinely makes the concept clearer. Do not force one if the code is self-explanatory once described directly.
-
Limit the explanation to what was asked. If the user pointed to one function, explain that function. Do not expand to the surrounding architecture unless asked.
-
Do not restate the obvious. If a function is named
calculateTaxand it calculates tax, skip the sentence saying "this function calculates tax" and go directly to how it does it.
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.
- 2mo ago First seen · 29 lines · 52 tokens per session scan A 0d1dc07733eb
explain-code is a skill published in the GitHub repository davila7/claude-with-skills (13 stars, last pushed 5mo ago), licensed MIT. It adds 52 tokens to every session and 426 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
hr-onboarding
A new-hire onboarding plan as a single page — first week schedule, buddy + manager intro, learning track, equipment checklist, and "you're set when…" outcomes. Use when the brief mentions "onboarding", "new hire", "first week plan", or "入职".
book-mirror
Take any book (EPUB/PDF), produce a personalized chapter-by-chapter analysis. Each chapter is preserved in detail (The Chapter) and mirrored back to the reader's actual life (The Mirror) using brain context. The mirror observes and resonates — a friend pointing out parallels, NOT a consultant rearranging the reader's…
exam-forecast
Analyze past exams from the same professor to surface patterns — subject weighting, recurring issue-spot traps, favored hypo types, policy-vs-doctrine mix — and forecast likely emphases for the upcoming exam. Use when the user says "what's on the exam", "analyze past exams", "predict the exam", or shares past exams.
lean-formalize
Develop and verify a mathematical proof in Lean, continue an incomplete Lean project, or audit whether it proves the original statement. Connect actual inputs to intermediate lemmas, assemble the target theorem, check its transitive axioms, and provide a reproducible handoff. Use when Lean is requested or a specific…
eli5
Explain research, papers, or technical ideas in plain English with minimal jargon, concrete analogies, and clear takeaways. Use when the user says "ELI5 this", asks for a simple explanation of a paper or research result, wants jargon removed, or asks what something technically dense actually means.
deck-course-module
A course or workshop slide template with persistent learning goals, teaching pages, multiple-choice self-tests, and a wrap-up.