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AgentsCamp

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Community-Eintrag llms.txt erreichbar KI-Impact-Score 100/100 · A

Die Organisation AgentsCamp nutzt den llms.txt-Standard für eine bessere Auffindbarkeit durch KI-Systeme. Branche: KI & Machine Learning. Die Website agentscamp.com stellt ihre llms.txt unter https://agentscamp.com/llms.txt bereit. Der Eintrag besteht seit 30. June 2026.

Geschäftskategorie
KI & Machine Learning
Eingetragen seit
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# AgentsCamp > A curated hub for everything AI — agents, skills, guides, tools, and commands for building with AI coding agents. Everything here is copy-paste/installable and format-validated for use with AI coding agents (Claude Code). Each page below has a clean Markdown twin at the same URL with a `.md` suffix. ## Agents Drop-in Claude Code subagents with focused system prompts — code review, debugging, architecture, and more. - [API Architect](https://agentscamp.com/agents/core-development/api-architect.md): Use this agent to design APIs — resource modeling, versioning, pagination, error contracts, REST vs GraphQL. Examples — designing a public API, reviewing an API spec, planning a breaking change. - [Backend Developer](https://agentscamp.com/agents/core-development/backend-developer.md): Use this agent to build server-side features — endpoints, business logic, data access, background jobs. Examples — a new REST/GraphQL endpoint, a queue worker, a database integration. - [Database Architect](https://agentscamp.com/agents/core-development/database-architect.md): Use this agent to design data models and storage strategy from access patterns — schema design, normalization vs deliberate denormalization, relational vs document vs key-value vs wide-column vs graph selection, indexing, partitioning/sharding, transaction boundaries, and consistency models. Examples — modeling a new feature's schema, choosing a database for a write-heavy event workload, reviewing a schema for missing indexes or scaling cliffs, planning how to shard a table that no longer fits one node. - [Frontend Developer](https://agentscamp.com/agents/core-development/frontend-developer.md): Use this agent to build UI — responsive layouts, components, accessibility, and design-system work. Examples — implementing a Figma design, fixing a11y issues, building a reusable component. - [GraphQL Architect](https://agentscamp.com/agents/core-development/graphql-architect.md): Use this agent to design GraphQL schemas and resolvers — types, nullability, connections, dataloaders, federation, depth/complexity limits. Examples — designing a new schema from requirements, killing N+1 queries in resolvers, planning a deprecation, hardening a public graph. - [Mobile Developer](https://agentscamp.com/agents/core-development/mobile-developer.md): Use this agent to build cross-platform mobile apps with React Native + Expo — screens, navigation, native modules, and shipping via EAS. Examples — adding a tab-based navigation flow, fixing a janky FlatList, shipping a build to TestFlight with EAS. - [System Architect](https://agentscamp.com/agents/core-development/system-architect.md): Use this agent for high-level system design — service boundaries, data flow, scaling, trade-offs. Examples — designing a new system, evaluating a monolith-to-services split, a scalability review. - [Agent Tool Integration Engineer](https://agentscamp.com/agents/data-ai/agent-tool-integration-engineer.md): Use this agent to wire tools and function-calling into an agent loop reliably — clean tool schemas, errors fed back as observations, retries with limits, idempotency, and parallel calls. Examples — "connect our APIs as agent tools", "our agent calls tools wrong / ignores tool errors", "add function-calling with proper error recovery to our agent". - [Browser Agent Engineer](https://agentscamp.com/agents/data-ai/browser-agent-engineer.md): Use this agent to build, harden, or debug browser-automation agents — web tasks via Browser Use, Stagehand, Skyvern, or Playwright-based stacks. Examples: automate a portal workflow, make a flaky browser agent reliable, add verification and guardrails to web automation, choose between vision and DOM grounding. - [Data Engineer](https://agentscamp.com/agents/data-ai/data-engineer.md): Use this agent to build and maintain data pipelines — ingestion, ELT/ETL, warehouse modeling, orchestration, and data-quality tests. Examples — building an idempotent ingestion job, […gekürzt]