agentify-project
Make a project ready for AI agentic engineering by converging it toward a canonical agent-neutral structure — a lean AGENTS.md index with progressive…
Explain code, a decision, a recap, or a question to the user in simple language that a fluent but often non-native developer who did not see what the agent saw understands on the first read. Use when explaining or asking the user anything, or when the user asks for simpler words
$ npx -y skills add eai-org/agent-toolkit --skill explain-in-simple-language --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/explain-in-simple-languageContext preview
The summary Claude sees to decide when to auto-load this skill.
Explain code, a decision, a recap, or a question to the user in simple language that a fluent but often non-native developer who did not see what the agent saw understands on the first read. Use when explaining or asking the user anything, or when the user asks for simpler words
name: explain-in-simple-language description: Explain code, a decision, a recap, or a question to the user in simple language that a fluent but often non-native developer who did not see what the agent saw understands on the first read. Use when explaining or asking the user anything, or when the user asks for simpler words or says they did not understand. Changes the wording only, never the content. license: MIT metadata: version: "0.1"
Comprehension is the only goal: the reader understands on the first read. Defines only the wording of what you say to the user; what to say (evidence, scope, structure) stays with whatever asked for the text. Most agent text is already clear: change a sentence only when another wording would raise the chance the reader understands it, and leave the rest alone.
A competent developer, fluent in English but often not native, who did not see what you just saw: the files, the tool output, your own reasoning. Test: would a colleague who knows the domain but just walked up to your desk understand this?
("both directions", "the fallback", "the second approach"); say what it is. Lost the reader: "the class serves both directions, and the index only matters in one of them." Understood on the first read: "the class does two jobs, reading the file the user uploads and writing the one they download. The index only matters for the reading job." Longer, and better.
term the user already used or that is the subject; introduce a term before leaning on it; reuse the user's own words where you can.
mechanism.
or adjacent facts unless the answer can't stand without them or whatever asked for the text requires them. Prefer brevity, never at the expense of clarity:
choice is between and why it matters.
concrete case and drop the term or reference that lost them. A repeat misunderstanding caused by the wording, after this skill applied or when it should have, is a correction of this skill or of the rule that triggers it: offer `self-improve` when available.
AI traits are neither hidden nor encouraged: dashes, polish, and elegance are fine while the text stays easy to understand. Text other people read as if the user typed it (PR comments, commits, chat with colleagues) is out of scope and keeps its own voice.
A collection of generic agentic tools for common engineering tasks, designed to work with any AI agent on any kind of software project.
Make a project ready for AI agentic engineering by converging it toward a canonical agent-neutral structure — a lean AGENTS.md index with progressive…
Check how much of a ticket is already implemented — split it into requirement blocks, judge each against the code, and save a human-readable TICKET-STATUS…
Draft, rewrite, or refine a doc for maximum token economy without losing any rule or intent. Use for docs kept in version control and regularly re-read by…
Author or refine a skill for maximum token economy without losing intent. Use when creating any new skill or editing an existing `SKILL.md`.
Audit what auto-loads into an agent session's context window and suggest lean, reversible fixes to cut startup tokens.
Turn a refined requirements document into a structured implementation PLAN.md a fresh session can execute. Planning only — decides the "how", not the "what".…