Article

Claude Code skills: how to teach an AI agent a new task

A Claude Code skill is a folder with a SKILL.md file: a short description of when it is needed and step-by-step instructions. The agent sees the descriptions of all its skills and opens the right one by itself when a task matches the description, reading the full text only at that moment. This way you teach the agent a recurring task once, such as replying to a review or a weekly report, and never explain it again. Codex by OpenAI understands the same format.

Updated November 2, 2026·7 min read
Neko in a bright loft writes an instruction card and hands a finished glowing card to a robot cat holding an open card file with colored tabs

What a skill is in Claude Code

A skill is a folder with a SKILL.md file. At the top of the file there are two fields: a name and a description that says what the skill does and when to use it. Below comes the instruction itself in plain text: steps, rules, an example of a good result. The folder can also hold reference files and scripts.

According to Anthropic's documentation, personal skills live in ~/.claude/skills/ and work in every project, project skills live in .claude/skills/ inside it.

  • Name and description

    One or two lines: what the skill does and when it is needed. The agent uses them to decide whether to take the skill.

  • Instructions

    Steps and rules in plain text: the order of work, the tone, what to check before sending.

  • Reference files

    Templates, examples, a price list or a procedure. The agent opens them only when it gets to them.

  • Scripts

    Programs the agent runs as a whole, for example to calculate or export data.

  • Manual call

    Any skill can be started with /skill-name without waiting for the agent to pick it up.

How the agent decides which skill to use

In a regular session the agent sees only the names and descriptions of skills. When a task matches a description, it opens the skill and reads the full instruction, loading long templates and references as the work goes. That is why you can keep many skills: until a skill is needed, it takes almost no room in the model's context.

A robot cat at an open card drawer pulls out a card with an orange envelope tab, a dotted line leads to it from a speech bubble with the same envelope, and on the right an open card with checkmarked items glows
An email task came in, so the agent takes the email card. The other skills stay closed.

Hence the main rule: the description says in which situation the skill is needed. A description like "Reply to a customer review on a marketplace: tone, length, what not to promise" will be applied at the right moment. From the single word "Reviews" the agent can hardly tell which task it is for.

Why a skill beats explaining every time

  • The same way of working. The instruction is the same, so this Monday's report is built the same way as last Monday's.
  • Short requests. You write "make the weekly report", and the agent takes the format, sources and checks from the skill.
  • Fixes add up. The agent made a mistake, you added one line to the skill, and next time it takes that line into account.
  • A skill can be shared. The same file works for a colleague or in a second agent.

A skill and the agent's memory solve different problems. Memory holds facts: who your clients are, what was agreed, what your prices are. A skill records how to work on a task. How the agent remembers facts is covered in How to set up an AI agent.

Skill examples for business

What's insideWhen the agent uses it
Review replyTone, length, how to answer a complaint, what not to promiseA new review arrived on a marketplace or in maps
Weekly reportWhere to get the numbers, section order, what to compare withMonday morning or on "weekly report"
Call notesDecisions, tasks, deadlines and who owns whatAfter a call recording is transcribed
Commercial offerA template, current prices, what to ask the clientA client asked for an offer or a quote
Channel postYour voice, length, banned words, how to place a linkYou ask for an announcement or a post
Email triageWhich emails are urgent, what to archive, what to forward to youThe morning inbox review

It is easiest to start with one task you do at least once a week and explain the same way every time. More small business scenarios are in Examples of AI agents.

How to write your own skill

  1. Pick a recurring task and do it once together with the agent, correcting it along the way.
  2. Ask the agent to write down how you did it as a skill: steps, rules, an example of a good result.
  3. Check the description. It should say when the skill is needed, in the words you usually use to set the task.
  4. Move long templates and references into separate files next to it and link them from the instruction. Anthropic recommends keeping SKILL.md itself under 500 lines.
  5. When the agent makes a mistake, ask it to add a rule to the skill so the mistake does not repeat.

Skills and plugins

A Claude Code plugin is a bundle installed as one package: several skills, subagents, hooks and connections to outside services (MCP servers). Plugins come from marketplace catalogs via the /plugin command. A single skill works without a plugin: just put its folder in ~/.claude/skills/.

A plugin runs code with your user's permissions, so Anthropic recommends reviewing it before installing. The same goes for skills with scripts from other people: look at what is inside before installing them.

Skills in Codex

Codex by OpenAI works with the same open format: a folder with SKILL.md, a name and a description at the top. According to OpenAI's documentation, skills live in .agents/skills, you call them manually with /skills or $, and when a task matches the description Codex takes the skill by itself. So a skill written for one engine moves to the other with small edits: the folder changes, the instruction text stays the same. How else the engines differ is covered in Claude Code or Codex.

Anthropic's and OpenAI's documentation was checked on 2 November 2026. Formats and commands change, so check the service's help before you start.

Skills in NekoAgent

In NekoAgent skills live on your server next to the agent's memory and stay in place when you switch engines. You can ask the agent to write a new skill right in the chat: it works with files on the server.

Clients with a support subscription get the Skills library: ready-made skills for Zoom, calls, marketplaces, a coding agent and more. Iris installs them by code, which usually takes a couple of minutes.

We do the first setup together on a call with a curator: we connect your server, engine and Telegram, which takes about two hours.

We'll set up an agent you can teach with skills

From 24,900 RUB one-off per setup (Egoist plan). The server and the AI model subscription are paid separately. 30 days of support are included in the plan. The skills library is available with an active support subscription.

Key questions

What are skills in Claude Code?

A skill is a folder with a SKILL.md file: a name, a description of when to use it and instructions for the task. Claude Code sees the descriptions of all skills and opens the right one by itself when a task matches. You can also call a skill with /skill-name.

Where are Claude Code skills stored?

Personal skills are in ~/.claude/skills/ and work in every project on that computer or server. Project skills are in .claude/skills/ inside the project. Plugin skills are installed with the plugin.

How is a skill different from a plugin?

A skill is an instruction for one task. A plugin is a package that can hold several skills, subagents, hooks and MCP servers; it is installed from a marketplace with /plugin.

Do skills use up subscription limits?

Until a skill is needed, only its name and description sit in the model's context, which is small. The full text loads when the agent takes the skill and counts toward the limit like any request text.

Do skills work in Codex?

Yes. Codex supports the same open SKILL.md format, with skills stored in .agents/skills. A skill written for Claude Code moves to Codex with small edits.

More articles

Neko assembles an AI agent from parts: a model, a server, Telegram and a knowledge base
Article · 8 min

How to create your own AI agent: DIY or turnkey

Your own AI agent needs four things: a model, a harness that gives the model memory and tools, a server where the agent runs around the clock, and a channel to talk to it, usually Telegram. You can put this together in a no-code builder, by hand from open source, or turnkey. Here is what each path costs in money and time.

Read the article
  • What an agent is made of
  • Three paths compared
  • Monthly cost
  • Turnkey, step by step
Neko weighs free software on a scale against a server, a model and time
Article · 6 min

Free AI agents: what is really free and what you pay for

The only free part of an AI agent is the software: OpenClaw and Hermes Agent are open source. The server that keeps the agent running around the clock and the model that does its thinking always cost money, and you pay for installation and upkeep with your time. The free tier of ChatGPT or Claude gives you a chat assistant, and you cannot build an agent out of it.

Read the article
  • What is free and what is not
  • Free ChatGPT vs an agent
  • OpenClaw and Hermes
  • Monthly costs
Neko examines a transparent robot cat through a magnifying glass; inside are the model, tools, memory and schedule
Article · 6 min

How AI agents work: explained in plain words

An AI agent is a language model that has been given tools, memory and a schedule. The model decides what to do, and a harness program carries out its decisions: reads files, sends messages, runs commands on a server. The agent works in a loop: it gets a task, makes a plan, takes a step, checks the result and decides what comes next.

Read the article
  • What an agent is made of
  • The work loop
  • How an agent remembers
  • Where agents go wrong
Neko at a desk between two robots: the assistant holds a speech bubble, the robot cat agent heads off to work with letters, an alarm clock and a key
Article · 6 min

AI agent vs AI assistant: the difference and which to choose

An AI assistant answers questions in a chat: you ask, it writes an answer, and you do the rest. An AI agent does the whole job: it works with email and files, remembers people and agreements, acts on a schedule and messages you first. The same model does the thinking for both; what differs is what is built around it.

Read the article
  • What the difference is
  • A comparison table
  • One task, two approaches
  • What to choose
Neko on a balcony records a voice message, and the robot cat agent writes her words into a glowing notebook
Article · 7 min

How to set up an AI agent: the first two weeks

Setting up an AI agent means telling it about yourself and your work, giving it simple first tasks and correcting it in words when it gets something wrong. All of this happens in an ordinary Telegram chat, without code. The agent writes what you say into memory, so every week it asks less and does better. Below is a plan for the first two weeks.

Read the article
  • What to tell it on day one
  • First tasks
  • How to correct the agent
  • Scheduled tasks
Neko in a bright workshop compares four robot agents on a table, a robot cat among them
Article · 7 min

Which AI agent is best: types of agents and how to choose yours

There is no single best AI agent for every case: agents come in four types, and each suits its own owner. They are cloud builders, the open-source agents OpenClaw and Hermes, your own agents on Claude Code or Codex, and ready-made turnkey agents. You choose by five questions: where the data lives, who fixes it, what it costs per month, whether it works in Telegram and which AI subscription it accepts.

Read the article
  • Four types of agents
  • Five questions to choose by
  • A comparison table
  • What to ask before buying
Neko in a bright office hands a stack of tasks to a robot cat sitting at its own desk with a laptop and a badge
Article · 7 min

AI employee: what it does, where a human is needed and what it costs

An AI employee is an AI agent given part of your regular work: correspondence, reminders, documents, summaries and reports. It works around the clock on a server, remembers people and agreements and runs tasks on a schedule. Money, promises to clients in your name and decisions with a high cost of error stay with a human. Per month an AI employee costs a server of about 1,500 RUB, an AI subscription and support.

Read the article
  • What the agent covers
  • Where a human is needed
  • Monthly cost
  • How to set tasks
In the evening Neko closes her laptop, while a robot cat with a phone sits on a running home server and keeps working
Article · 7 min

Local AI agent: on your own computer or on a server

A local AI agent is one that runs on your hardware rather than at a service. People mean two different things by it: a local model, when the neural network itself runs on your computer, and a local harness, when the agent program, files and memory live with you while a cloud model such as Claude or GPT does the thinking. An agent that works around the clock needs a computer that stays on, so it usually goes on your own server (VPS), about 1,500 RUB a month, rather than a laptop.

Read the article
  • Local model vs harness
  • An agent on a PC
  • Why you need a server
  • Where data is stored
In a small coffee shop Neko takes one sticky note with a task off a board and hands it to a robot cat holding a stopwatch
Article · 7 min

Implementing AI agents in a small business: a one-month plan and how to measure the gain

You can implement an AI agent in a small business within a month and without a separate project. Take one repeating routine, install the agent, spend two weeks fine-tuning it in ordinary chat and count how many hours a week it takes off your plate. No spec or integrations are needed at the start: an agent in Telegram only needs your explanations and access to the right files. Each month it costs a server of about 1,500 RUB and an AI subscription.

Read the article
  • The first routine
  • Two weeks of fine-tuning
  • How to measure the gain
  • Implementation mistakes
Neko types commands in a terminal in the evening, while a robot cat next to her studies an unfolded manual over an open box of parts, puzzled
Article · 7 min

Hermes Agent: what it is, how to install it and what you maintain yourself

Hermes Agent is a free, open-source AI agent from Nous Research under the MIT license. You install it on your computer or server, connect a model and a messenger, and it carries out tasks, keeps memory of past conversations and creates skills from solved tasks on its own. Installation is one terminal command or the Hermes Desktop app for Windows and macOS, followed by the “hermes setup” command. The software is free, while the model, the server and the upkeep stay with the owner.

Read the article
  • What Hermes can do
  • Installation step by step
  • Which models fit
  • What you maintain yourself
Neko works in AdsPower in the evening: the monitor shows a list of browser profiles, and the robot cat next to her points a paw at one of the rows
Article · 8 min

AdsPower: what this browser is and how to set up a profile and proxy

AdsPower is an antidetect browser: every profile has its own cookies, browser fingerprint and proxy, and websites see the profiles as different devices. That lets you run client accounts, team access and test accounts on one computer without mixing them up. AdsPower runs on Windows, macOS and Linux, two profiles are free forever, and you bring your own proxies: HTTP, HTTPS, SOCKS5 or SSH.

Read the article
  • What AdsPower is
  • A profile in five steps
  • Which proxies to pick
  • Common mistakes
Neko plugs a cable into a small home server in the evening, wires run from it to colourful chat bubbles, a robot cat sits on the server holding a padlock, and a red toy lobster stands nearby
Article · 8 min

OpenClaw: what it is, how to install it and connect Telegram

OpenClaw is a free, open-source AI assistant under the MIT license. It runs on your computer or server and answers in the messengers you already use: Telegram, WhatsApp, Discord, Slack, Signal and others. Installation is one terminal command, then a setup wizard connects the model, which takes about five minutes according to the docs. The software is free, while the model, the server, updates and security stay with the owner.

Read the article
  • What OpenClaw can do
  • Installation step by step
  • Telegram and a Claude subscription
  • What you maintain yourself
Neko on a sofa in the evening with her phone compares two helpers on the table: a plain grey bot waits with a single message bubble, while a robot cat juggles a calendar, an email, a document and a reminder
Article · 7 min

AI bot for Telegram or an AI agent: the difference and which to choose

An AI bot for Telegram is a bot that passes your message to a neural network and sends its answer back to the chat. An AI agent in Telegram looks the same but works differently: it lives on a server, remembers people and tasks, works with your files and email and messages you on a schedule. To ask, translate or draft a text, a bot is enough. To run your affairs every day, you need an agent.

Read the article
  • What an AI bot in Telegram is
  • How an agent differs from a bot
  • Comparison and prices
  • When a bot is enough
Neko at a workbench in the evening compares two glowing cores, orange and teal, while a robot cat with an open chest hatch waits next to her for one of them
Article · 7 min

Claude Code or Codex: which engine to choose for a personal AI agent

Claude Code by Anthropic and Codex by OpenAI are two harnesses that turn a model into an agent: they give it files, commands and tools on a server. For a personal agent the main choice between them is the subscription: Claude Code runs on a Claude Pro or Max plan, Codex on a ChatGPT plan, in a server terminal from Plus and up. The agent's memory, Telegram and schedule do not depend on the engine, and in NekoAgent you can switch the engine later right from the chat.

Read the article
  • What Claude Code and Codex are
  • Which subscription you need
  • How they differ day to day
  • Can you switch engines
Neko relaxes in an armchair with a tablet while a robot cat sorts letters into trays on its own and shows her a card with a question mark and a green check; a low glass barrier glows next to the desk
Article · 7 min

Autonomous AI agents: what an agent does on its own and when it asks a human

An autonomous AI agent performs tasks without a command for every step: on a schedule and by the rules you gave it. It sends summaries and reminders, prepares drafts, records decisions in its memory and messages you first. Money, messages to people on your behalf and deleting data are best kept subject to your confirmation, even for an autonomous agent. Limits are set in two ways: with rules in your chat with the agent and with the access you give it.

Read the article
  • What the agent does alone
  • When it asks a human
  • How to set limits
  • Several agents
Neko in her kitchen in the evening looks at a chat message on her phone; a robot cat on the counter holds a glowing card with a bell and a checklist; on the fridge are a calendar with circled dates, a child's drawing and a shopping list, next to a grocery bag and a folder of documents
Article · 7 min

Personal AI assistant: errands, family and reminders in one chat

A personal AI assistant is an agent that runs your errands in Telegram: it remembers agreements, dates and documents, reminds you about them on its own and takes tasks by text or voice. It differs from an AI chat on your phone in two ways: it has a lasting memory about you and it messages you first when a deadline approaches.

Read the article
  • What to give the assistant
  • How it differs from a chat
  • An assistant for the family
  • Personal data