Agent skill

Meta

by glebis in glebis/claude-skills

Execute Claude Code commands in the telegramagent project directory.

MITAuto-check passedDevelopment

Install Meta

skills CLI
$ npx skills add glebis/claude-skills --skill meta -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install glebis/claude-skills meta --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/glebis/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/meta .claude/skills/meta && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
meta
GitHub stars
389
Used in
1 other repo
Token cost
~406 tokens
SKILL.md length
151 words
Files
1
Skills in repo
91
Repo updated
First seen
Licence
MIT

At a glance

Execute Claude Code commands in the telegramagent project directory.

  • Works in 4 steps: Takes the user's prompt after /meta → Spawns a Claude Code Agent SDK session → Sets working directory to… → …
  • The user wants to work on the telegram agent itself
  • SKILL.md covers What This Does, Implementation, Usage Pattern and Example User Requests, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Meta is an agent skill from glebis/claude-skills. Execute Claude Code commands in the telegramagent project directory. Use when the user wants to work on the telegram agent itself, fix bugs, add features, or modify the bot code. This is a COMMAND HANDLER, not a script executor.

Its SKILL.md is about 410 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Debugging. It works with Telegram. The repository describes itself as: Collection of Claude Code skills for enhanced AI workflows. The licence is MIT.

When your agent uses it

  • The user wants to work on the telegram agent itself
  • Modify the bot code

Example prompts

  • “/meta”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Takes the user's prompt after /meta
  2. Spawns a Claude Code Agent SDK session
  3. Sets working directory to ~/ai_projects/telegram_agent
  4. Returns responses in Telegram

What it can do on your machine

Read from SKILL.md and the folder at commit 7524dff. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are python).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Meta loads about 406 tokens when it runs. Until then it costs about 59 tokens; SKILL.md has 151 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~59
When it runs · the whole SKILL.md, loaded when a task matches
~406

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from glebis/claude-skills at commit 7524dff, republished under its MIT licence (© glebis). 151 words, ~406 tokens.

Download SKILL.mdSave it as .claude/skills/meta/SKILL.md (or your agent's skills folder).
name
meta
description
Execute Claude Code commands in the telegram_agent project directory. Use when the user wants to work on the telegram agent itself, fix bugs, add features, or modify the bot code. This is a COMMAND HANDLER, not a script executor.

Meta Skill - Command Handler

⚠️ IMPORTANT: This skill is a COMMAND HANDLER registration. It tells the bot to handle /meta commands by spawning Claude Code Agent SDK sessions in the telegram_agent directory.

What This Does

Registers /meta as a command handler that:

  1. Takes the user's prompt after /meta
  2. Spawns a Claude Code Agent SDK session
  3. Sets working directory to ~/ai_projects/telegram_agent
  4. Returns responses in Telegram

Implementation

The actual command handler needs to be registered in the telegram bot codebase at:

  • src/bot/handlers/claude_commands.py - Add meta command handler
  • src/bot/bot.py - Register the command

Usage Pattern

User types in Telegram:

/meta fix the rate limiting bug
/meta add better logging
/meta refactor authentication

Bot spawns Claude Agent SDK with:

  • Working directory: ~/ai_projects/telegram_agent
  • Prompt: User's text after /meta
  • Same infrastructure as /claude command

Example User Requests

  • /meta fix bug in message handler
  • /meta add error recovery to file sending
  • /meta refactor the session management
  • /meta improve the keyboard layout

Implementation Notes

Must use ClaudeCodeService with custom cwd parameter:

python
service.execute_prompt(
    prompt=user_prompt,
    cwd="/Users/server/ai_projects/telegram_agent"
)

© glebis, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in meta of glebis/claude-skills.

Open the folder on GitHubat commit 7524dff

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in glebis/claude-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Meta next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Meta compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Meta this skillglebis/claude-skills3891 repos~406Automated safety check: PassMIT
Agts Bugfix Workflowemreturkmencom/antigravity-telegram-suite172—~386Automated safety check: PassMIT
Social Metadata Hardeningsickn33/agentic-awesome-skills47k1 repos~1.8kAutomated safety check: PassMIT
Tg Bot Opsserejaris/personal-corp-os229—~1.6kAutomated safety check: NotesMIT
Debugging Executionsn8n-io/n8n207k—~2.6kAutomated safety check: PassCustom licence
OpenCLI Adapter Autofixjackwener/OpenCLI30k1 repos~3.2kAutomated safety check: PassApache-2.0

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Works with

Questions about Meta

What does Meta do?

Execute Claude Code commands in the telegramagent project directory. Meta is an agent skill from glebis/claude-skills. Execute Claude Code commands in the telegramagent project directory.

When should I use Meta?

Meta fits situations like: the user wants to work on the telegram agent itself; modify the bot code.

How do I install Meta in Claude Code?

Run `npx skills add glebis/claude-skills --skill meta -a claude-code`. Or copy the skill folder (meta in glebis/claude-skills) into .claude/skills/meta in your project. Claude Code loads it when a task matches its description.

How do I install Meta in Codex?

Run `npx skills add glebis/claude-skills --skill meta -a codex`. Or copy the skill folder (meta in glebis/claude-skills) into .agents/skills/meta in your project. Codex loads it when a task matches its description.

Can I use Meta in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add glebis/claude-skills --skill meta -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/meta, .gemini/skills/meta, .github/skills/meta and .opencode/skills/meta in your project.

What does Meta need to run?

SKILL.md names no scripts, command-line tools or credentials: Meta is instructions for the agent only. Our summary lists: Python 3.

Does Meta access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Meta safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Meta use?

Meta is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Meta use?

About 406 tokens (SKILL.md is roughly 1.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Meta?

Skills that share tags, products or a category with Meta: Agts Bugfix Workflow (emreturkmencom/antigravity-telegram-suite, 172 stars), Social Metadata Hardening (sickn33/agentic-awesome-skills, 47k stars), Tg Bot Ops (serejaris/personal-corp-os, 229 stars) and Debugging Executions (n8n-io/n8n, 207k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Meta?

glebis (a GitHub user) maintains it in glebis/claude-skills, which has 389 GitHub stars. The repository holds 91 skills in this directory. The repository was last updated on September 26, 2026.

Source: glebis/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.