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Deterministische SaaS-API-Testwelten für Agenten mit Backlot er…

Führen Sie lokale Emulatoren für Slack, Gmail, Google Drive, GitHub, Jira, Notion, S3 und andere SaaS-APIs über einen kontrollierten Korpus aus, sodass Agenten und Integrationen ohne Anbieterkonten, OAuth, Geheimnisse oder Netzwerkaufrufe getestet werden können.

Was ist Deterministische SaaS-API-Testwelten für Agenten mit Backlot er…?

Diese Fähigkeit ermöglicht es Entwicklern, deterministische, lokale Testumgebungen für SaaS-APIs wie Slack, Gmail, Google Drive, GitHub, Jira, Notion und S3 zu erstellen. Anstatt echte Anbieterkonten mit OAuth und Netzwerkzugriff zu benötigen, emuliert Backlot diese APIs lokal und verwendet einen kontrollierten Datensatz (Korpus). Dies ist besonders nützlich für KI-Agenten, die typischerweise auf mehrere externe Dienste angewiesen sind, da es reproduzierbare Tests ohne Abhängigkeit von externen Systemen, geheimen Schlüsseln oder Netzwerklatenz ermöglicht. Backlot unterstützt sowohl eine direkte API-Integration über SDKs als auch den MCP-Standard (Model Context Protocol), sodass es mit Clients wie Claude Code und Cursor kompatibel ist. Die Einrichtung erfolgt über die CLI („pip install backlot“) und das Importieren eines Korpus; Dienste werden dann lokal unter http://127.0.0.1:8000 bereitgestellt.

Funktioniert mit~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/build-deterministic-saas-api-test-worlds-for-agents-with-backlot
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Dokumentation

Deterministische SaaS-API-Testwelten für Agenten mit Backlot erstellen

Führen Sie lokale Emulatoren für Slack, Gmail, Google Drive, GitHub, Jira, Notion, S3 und andere SaaS-APIs über einen kontrollierten Korpus aus, sodass Agenten und Integrationen ohne Anbieterkonten, OAuth, Geheimnisse oder Netzwerkaufrufe getestet werden können.

Voraussetzungen

Python 3.11+, Backlot CLI, optionaler MCP-kompatibler Client oder offizielle Anbieter-SDKs, die auf die lokalen Backlot-Basis-URLs ausgerichtet sind.

Installation

Installieren oder richten Sie es gemäß den quellbasierten Anweisungen ein:

Installieren Sie es mit pip install backlot, importieren Sie den gebündelten oder Projektkorpus mit backlot import --bundled oder backlot import my-corpus.jsonl, führen Sie dann backlot serve aus und richten Sie unterstützte SDKs auf http://127.0.0.1:8000 aus. Für den Zugriff auf Agentenwerkzeuge installieren Sie pip install "backlot[mcp]" und registrieren Sie backlot mcp bei einem MCP-kompatiblen Client.

Dokumentation

Quelle

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

Academic Paper Citation Network Mapper

Builds citation networks from Semantic Scholar API and CrossRef DOI metadata. Visualizes paper influence graphs using NetworkX, identifies seminal works, and tracks research lineage across fields.

ACF Custom Fields REST Exposer

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ACF Extended for Advanced Custom Fields Workflows

An ASE skill built around ACF Extended, the WordPress enhancement suite for Advanced Custom Fields that adds field types, admin improvements, front-end forms, options pages, and developer tooling. It is a practical fit for agents working inside complex WordPress content models and custom field workflows.

ACF to Gutenberg Block Migrator

Converts Advanced Custom Fields field groups into native Gutenberg blocks using the ACF Block API v2 and @wordpress/scripts build pipeline. Maps ACF repeaters, groups, and flexible content to InnerBlocks and block attributes with server-side rendering via acf_register_block_type().

Activepieces Open Source Workflow Automation

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ActivityWatch Cross-Platform Automated Time Tracker and Producti

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act Local GitHub Actions Runner

act is an open-source CLI tool that runs GitHub Actions workflows locally using Docker, enabling fast feedback on workflow changes without pushing to GitHub. It is a standard tool for local Actions development and testing.

Add a browser review checkpoint before risky agent actions with

Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.

Add Claude design-system and accessibility workflows with UX/UI

Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.

Add executable smoke tests for shell scripts and CLIs before ref

Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.

Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

Add IDE-style semantic code navigation and symbol-safe refactors

Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.

Add managed long-term memory to LangGraph agents with LangMem

Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.

Add multimodal lifelong memory to MCP and Python agents with Sim

Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.

Add persistent project memory and hook-driven synthesis with Cla

Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.

Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

Address GitHub PR review comments from the current branch with g

Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.

Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

Adobe Firefly API Batch Image Generator

Calls Adobe Firefly

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