meta
Skill400 starsChanged 4 months agoMITView on GitHub
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.
We split this skill into the rules it gives an agent
1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 6 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 47
Must use ClaudeCodeService with custom cwd parameter:
“Common” is measured: kept by at least 6 in 10 of the 6 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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:
- Takes the user's prompt after
/meta - Spawns a Claude Code Agent SDK session
- Sets working directory to
~/ai_projects/telegram_agent - 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 handlersrc/bot/bot.py- Register the command
Usage Pattern
User types in Telegram:
/meta fix the rate limiting bug
/meta add better logging
/meta refactor authenticationBot spawns Claude Agent SDK with:
- Working directory:
~/ai_projects/telegram_agent - Prompt: User's text after
/meta - Same infrastructure as
/claudecommand
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:
service.execute_prompt(
prompt=user_prompt,
cwd="/Users/server/ai_projects/telegram_agent"
)Other versions10 projects use a version of this.
Word for word · 2
- JAVICHILEON/claude---Skills★ 0100% same
- KISHOR403/claude-skills★ 0100% same
Edited · 0
None found.
Wrote their own version · 8
- kagenti/kagenti★ 300same name
- giolaq/tv-build-harness★ 4same name
- RightBlogger/bloggingskills★ 4same name
- ku5ic/claude-kit★ 2same name
- corygabrielsen/skills★ 1same name
- demithras/ClearMeta★ 1same name
- jthorare/agentic-workflow★ 1same name
- Practice019/agent-skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository109 other files it gives its agents.
- automation-advisor/CLAUDE.mdCLAUDE.md
- agency-docs-updaterSkill
- agency-meetup-publishSkill
- agency-socialsSkill
- agent-cliSkill
- agent-roundtableSkill
- app-releaseSkill
- automation-advisorSkill
- balancedSkill
- brand-agencySkill
- browser-mateSkill
- browsing-historySkill
- chrome-historySkill
- cms-migration-checklistSkill
- coaching-session-summarizerSkill
- codexSkill
- cognitive-toolkitSkill
- context-builderSkill
- cull-release-checkSkill
- cull-release-prepareSkill
- cull-release-publishSkill
- cull-release-recoverSkill
- cull-releaseSkill
- cull-release-verifySkill
- cullSkill
- daydreamSkill
- decision-toolkitSkill
- deep-researchSkill
- design-tokensSkill
- doctorgSkill
- ecosystemSkill
- elevenlabs-ttsSkill
- elimination-researchSkill
- fathomSkill
- feature-factorySkill
- firecrawl-apiSkill
- firecrawl-researchSkill
- font-featuresSkill
- github-gistSkill
- gmailSkill
- google-image-searchSkill
- gpt-image-2Skill
- granolaSkill
- gwsSkill
- health-dataSkill
- i18n-studioSkill
- init-tauri-appSkill
- init-xcode-appSkill
- insight-extractorSkill
- jtbdSkill
- lab-retroSkill
- learning-vaultSkill
- linearSkill
- llm-cliSkill
- local-modelsSkill
- meeting-prepSkill
- meeting-processorSkill
- name-auditionSkill
- nano-bananaSkill
- nielsen-heuristicsSkill
- The first 60 shown.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
Reviews can't be read right now.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.