prompt-engineering

Systematic techniques for structuring LLM instructions to produce accurate, consistent, and high-quality outputs

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Repository: lev-os/agents
Last source activity: March 7, 2026 at 00:14
Detected SKILL.md language: English
Stars: 26
Forks: 3

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name	prompt-engineering
description	Systematic techniques for structuring LLM instructions to produce accurate, consistent, and high-quality outputs

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tla-plus

Use when learning or applying the TLA+ ecosystem end-to-end: selecting VS Code, Toolbox, or CLI; choosing PlusCal vs raw TLA+; writing specs above the code level; structuring properties and cfg files; running SANY, TLC, Apalache, or TLAPS; debugging counterexamples; checking refinement; validating traces; or mining the official examples corpus.

2026-11-02

testing-real-service-e2e-no-mocks

Build mock-free integration and E2E tests that hit real databases, real APIs, and real services with structured logging. Use when: replacing mocked tests with real-DB tests, transaction rollback isolation, test data factories, structured JSON-line test logging, webhook simulation, or billing flow verification. Covers Vitest, Supabase, Stripe test mode, and testcontainers.

2026-11-02

now

Compose evidence-backed pages (lessons, technical explainers, run reviews, sales letters, dashboards, feedback surfaces, document collections) as single-file HTML in the lev.now shell. By default, write a content-specific GenUI page, inspect it in light and dark at desktop and phone, and on request save it as a typed template. Render existing RenderSpec JSON, Markdown reader folders and live showcases on their own routes, and publish or attach pages to here.now.

2026-11-02

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prompt-engineering

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