Control LLM output with regex and grammars, guarantee valid JSON/XML/code generation, enforce structured formats, and build multi-step workflows with Guidance - Microsoft — from…
Solopreneurler için pratik prompt mühendisliği rehberi — Claude ve ChatGPT ile verimli çalışma
Translate an image brief into provider-specific prompt grammar per model. Use when writing or refining an image-generation prompt for Ideogram, Flux, Gemini, GPT Image 2, or…
Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial resul — from…
A Senior AI Engineer interviewer that simulates a technical interview focused on prompt engineering and LLM architecture at scale.
Crafting effective prompts for LLMs. Use when designing prompts, improving output quality, structuring complex instructions, or debugging poor model responses.
Belajar cara prompting efektif dan loop-engineering dengan AI — dari fundamental ke pattern lanjutan
Optimize prompts for LLMs and AI systems with structured techniques, evaluation patterns, and synthetic test data generation.
Guarantee valid JSON/XML/code structure during generation, use Pydantic models for type-safe outputs, support local models (Transformers, vLLM), and maximize inference sp — from…
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability. — from Asymmetric-al/core
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability. — from majiayu000/claude-skill-registry
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability. — from majiayu000/claude-skill-registry
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production.
Techniques avancées de prompt engineering pour LLMs. Se déclenche avec "prompt engineering", "prompt", "system prompt", "few-shot", "chain of thought", "meilleur prompt" — from…
Expert guide on prompt engineering patterns, best practices, and optimization techniques. Use when user wants to improve prompts, learn prompting strategies, or debug age — from…
Publishable Prompt Engineering skill package that compiles a user request into a ready-to-use high-quality Prompt, with support for diagnosis, module injection, debugging, and…
Comprehensive prompt engineering with Chain-of-Thought, few-shot learning, prompt versioning, and optimization.
Ein umfassendes System zur Erstellung, Verwaltung, Archivierung und Orchestrierung von Prompts für LLMs.
Prompt engineering patterns for Claude including system prompts, few-shot examples, chain-of-thought, structured output, templates, and prefilling.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production.
Prompt engineering and optimization for AI/LLMs. Capabilities: transform unclear prompts, reduce token usage, improve structure, add constraints, optimize for specific models,…
Use when someone hands you a rough video idea, logline or one-liner and wants a full cinematic prompt, when writing or polishing a Gemini Omni Flash / Google Flow prompt, or when…
Optimize prompts for code-related tasks following Claude best practices. Use when refining prompts for implementation, debugging, refactoring, code review, or testing.
Use when drafting a buy-now-pay-later (BNPL) platform agreement between a BNPL provider and a merchant, covering integration requirements, payment terms, merchant fees, customer…
Use when drafting terms of service for a digital lending platform offering consumer or SME loans. Covers loan application process, credit assessment disclosure, interest rate…
Use when drafting an agreement between a payment facilitator (PayFac) and an acquiring bank (or sponsor bank) governing the PayFac''s authority to onboard and manage…
Use when a company planning to issue a stablecoin needs a legal framework memo covering reserve requirements, regulatory classification, redemption rights, audit obligations,…
Laravel guidance to structure prompts for clarity-separate concerns, prioritize requests, specify acceptance criteria, and break work into testable increments
Versioniert alle Spalten- und Zeilenprompts mit semantischer Versions-ID — patch fuer Wortlautfeinheiten minor fuer geaenderte Antworttypen oder Ampelregeln major fuer geaenderte…
Install and set up software from a single request ("install slack", "set up docker", "get me obsidian").
Configures and runs LLM evaluation using Promptfoo framework. Use when setting up prompt testing, creating evaluation configs (promptfooconfig.yaml), writing Python custom…
Build, debug, or plan work with The Prompting Company through its API, MCP Server, CLI, or SDK entrypoints.
Simulate the execution of Prompton, a Python-like language where `prompt'...'` expressions evaluate to the result of the query inside the quotes.
Build API test suites — endpoint testing, contract testing, load testing for REST/GraphQL/gRPC APIs. Use when asked to "test this API", "API tests", "endpoint testing", "contract…
Audit test suite health — find flaky tests, slow tests, coverage gaps, and testing anti-patterns. Use when asked to "audit tests", "fix flaky tests", "why are tests slow", "test…
Proof-driven development - design proofs from requirements, then execute CREATE -> VERIFY -> REMEDIATE cycle.
Build E2E test specs for critical user journeys — Playwright or Cypress, page objects, setup/teardown, CI config.
Testing reconnaissance — inventory all tests, frameworks, coverage, CI integration, and assess testing maturity for project takeover.
Produce a test strategy for a project or feature — risk map, test type decisions, coverage targets, CI config.
Automate Proofly tasks via Rube MCP (Composio). Always search tools first for current schemas. — from engineering/cloud-platforms
Test software in the style of John Hughes, inventor of QuickCheck and property-based testing. Emphasizes specifying properties that should hold for all inputs, generating random…
Property Based Test Helper - Auto-activating skill for Test Automation. Triggers on: property based test helper, property based test helper Part of the Test Automation skill…
Provides guidance for property-based testing across multiple languages and smart contracts. Use when writing tests, reviewing code with serialization/validation/parsing patterns,…
Writes property-based tests using Kotest's kotest-property module. Identifies testable properties, designs generators, and configures PBT for Kotlin/JVM projects.
Use when a task needs the judgment of a property/real estate developer — underwriting a land acquisition against residual land value, structuring an entitlement-contingent option…
Expert guide for property-based testing (fast-check, Hypothesis) and mutation testing (Stryker, mutmut) — AI-generated test properties, invariant discovery, mutation score…
Design property-based tests — generate hundreds of random inputs and assert invariants that must hold for ALL of them — to surface the edge cases hand-picked examples never reach.
Property-based and generative testing across the polyglot stack. TRIGGER when: user asks about property-based testing, generative testing, QuickCheck, Hypothesis, proptest,…
Introduces property-based testing with proptest, helping users find edge cases automatically by testing invariants and properties.
PropManager-specific TDD guidance. Use instead of laraveltdd-with-pest. This project is on class-based PHPUnit (not Pest).
Pricing proposal high-ticket (R$ 30k+) com objection handling embedded. Estrutura de 7 seções (problema reformulado, mechanism, escopo, prova, investimento, garantia, próximo…
Предложить новый change: сгенерировать proposal, design, specs, tasks за один шаг. Создаёт .sdd.yaml с owner, .sdd-state.yaml (stage=proposed), test-plan.md стабы.
Runs the full minerva lifecycle end-to-end for a MEDIUM change — bigger than a one-file tweak, not ambiguous or high-stakes enough for panels ("ship this with a second opinion",…
Canonical session and importer rules for prosa. Use when changing pkg/session, pkg/importer, docs/architecture/canonical-session.md, or any agent importer implementation under…
Use when you need to deploy a project to CloudHost, a hosting platform for static sites and serverless functions.