The navigation map of Creative Engines' public knowledge base: a core summary, the Ground → Test → Publish plan, and an index of every product, concept, segment, solution, comparison, FAQ and glossary page for AI assistants and search engines.
tune/SKILL.md): Self-tuning question sensitivity + developer psychographic for gstack (v1: observational).
- [/qa](qa/SKILL.md): Test the site, API or CLI and fix the bugs it finds.
- [/qa-only](qa-only/SKILL.md
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update` upgrades the program and reinstalls every added channel's tools: tools with a tested version stay at that version, others get the newest version inside floor/exclude. It returns `result.user
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feed
- [Sandbox](https://www.worldmonitor.app/sandbox/index.json): Deterministic sample responses for representative REST operations — test parsers and integrations with no key and no quota ([guide](https://www.worldmonitor.app/docs/sandbox))
- [Schema Map](https://www.worldmonitor.app
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read when running commands or debugging)
- RUNBOOK.md — copy-paste commands for common workflows
- TESTING.md — test commands for both packages
- CONTRIBUTING.md — contribution workflow and PR conventions
# Architecture (read for design context
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intentional: discovery rejects symlinked bundles, so linking a shared directory does not install it.
- [Testing](docs/gitbooks/en/developing/embed/concepts/testing.md): The runnable examples default to loopback fixtures. They assert request bodies, tool results, file
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Application](https://linera.dev/developers/backend/logging.html): Add logging to Linera contracts and services for debugging.
- [Writing Tests](https://linera.dev/developers/backend/testing.html): Unit tests with mock runtime and integration tests with simulated validators using
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openai.github.io/openai-agents-python/context/): Control what past messages, attachments, and tool runs are injected into prompts.
- [Testing](https://openai.github.io/openai-agents-python/testing/): Test Agent, Sandbox, Realtime, and Voice workflows deterministically without provider requests.
## Coordination
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repo deliberately avoids
- Dependencies between skills (each stays self-contained)
- Complex build systems or test frameworks (portability first)
- Generic advice instead of specific frameworks
- LLM calls in scripts (defeats portability
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pass rate with the skill vs 6.7% without in the formal eval; a 1084-test suite guards the mechanisms.
- Differentiators: an opt-in completion gate, multi-agent shared state
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case (AI/LLM integration, email automation, social media, HR, DevOps, document processing). Review, configure, and test each workflow before use. Created by Enes Cingoz.
## What is this repository?
Awesome n8n Templates
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Evaluation](https://github.com/NirDiamant/GenAI_Agents/blob/main/all_agents_tutorials/trace_based_agent_evaluation.ipynb): Evaluate an agent from its execution traces.
- [End-to-End Testing Agent](https://github.com/NirDiamant/GenAI_Agents/blob/main/all_agents_tutorials/e2e_testing_agent.ipynb): An agent that writes and runs end-to-end tests.
- [Human
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console,
> backed by an identity pool (cookies + proxies + fingerprints) that mints,
> tests, cools and retires its own identities. Open source (Apache-2.0), free,
> and it runs entirely on your
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