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services-before-tokens

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Aktualisiert12. Februar 2026 um 17:43

Routes tasks to external services (MCP, shell, n8n) before using AI tokens. Prevents wasteful AI processing for tool-solvable tasks.

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bermingham85

bermingham85/warp-config

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Verwandte BerufeSOC

Basierend auf der SOC-Berufsklassifikation

SoftwareentwicklerInformatik- und Mathematikberufe·SOC 15-1252

SKILL.md

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name	services-before-tokens
description	Routes tasks to external services (MCP, shell, n8n) before using AI tokens. Prevents wasteful AI processing for tool-solvable tasks.

Services Before Tokens

Trigger

Any task that could be handled by an external tool, API, MCP, or automation service.

Action

STOP before generating AI output. Check if a service can do it instead:

Routing Priority

File Operations → filesystem_mcp or shell commands
Database Queries → Direct PostgreSQL/SQL
Web Scraping → Playwright MCP
Calculations → Python/calculator
Git Operations → git CLI or GitHub MCP
Memory/Context → Memory MCP
n8n Workflows → Trigger webhook
Document Search → Notion MCP or grep
API Calls → Direct HTTP via curl/webhook

Anti-Patterns (Token Waste)

AI reads file and summarizes → Use read_files tool
AI "searches" codebase → Use grep or codebase_semantic_search
AI calculates → Python one-liner
AI formats JSON → jq command

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name	services-before-tokens
description	Routes tasks to external services (MCP, shell, n8n) before using AI tokens. Prevents wasteful AI processing for tool-solvable tasks.

Services Before Tokens

Trigger

Any task that could be handled by an external tool, API, MCP, or automation service.

Action

STOP before generating AI output. Check if a service can do it instead:

Routing Priority

File Operations → filesystem_mcp or shell commands
Database Queries → Direct PostgreSQL/SQL
Web Scraping → Playwright MCP
Calculations → Python/calculator
Git Operations → git CLI or GitHub MCP
Memory/Context → Memory MCP
n8n Workflows → Trigger webhook
Document Search → Notion MCP or grep
API Calls → Direct HTTP via curl/webhook

Anti-Patterns (Token Waste)

AI reads file and summarizes → Use read_files tool
AI "searches" codebase → Use grep or codebase_semantic_search
AI calculates → Python one-liner
AI formats JSON → jq command