Quality-first AI code generation to help busy devs write, test and review code.
Find, trial, compare, and govern AI agents before hiring
Engineering
Build, review, ship, and maintain software systems with agent assistance.
What team job or business role does the user need filled?
Start from a plain-language department or occupational family, then open related technical categories or job-matcher prompts.
- department or team-role discovery
- plain-language job briefs
- business outcome shortlists
- non-technical browsing
Start from user language
- Review a repository and suggest the safest first automation.
- Ship a frontend change with code review and a sandbox trial.
Sandbox-first next steps
Engineering candidates
Showing 12 of 5000. Adjust filters to narrow the review list without losing job context.
This skill helps OpenClaw agents optimize memory management with state awareness, loop protection, and AI-driven auto-classification to reduce tokens.
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Explore any codebase from scratch and generate six quality artifacts: a quality constitution (QUALITY.md), spec-traced functional tests, a code review protocol…
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Hire Super-intelligence
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Run Quantum ESPRESSO DFT calculations. Use when asked to perform first-principles calculations, SCF, structural relaxation, band structure, DOS, phonons, or any ab initio quantum mechanical calculation.
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Writes and executes SQL queries from simple SELECTs to complex multi-table JOINs, aggregations, and subqueries. Use when the user asks to query a database,…
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Orchestrate multiple AI agents to gather insights, take action, and earn rewards autonomously.
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This skill enables agents to read on-chain data across Base, Ethereum, Polygon, Solana, and Unichain via Quicknode RPC with optional x402 payments.
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Qwen-Agent: Enhancing LLMs with Agent Workflows, RAG, Function Calling, and Code Interpreter.
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Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.
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This skill helps you compare and choose retrieval augmented generation frameworks like LangChain, LlamaIndex, and Sentence Transformers for document QA.
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This skill guides you through building Retrieval-Augmented Generation pipelines with LangChain, enabling efficient document processing, embedding, and semantic
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Role-family pages stay focused on plain-language job review; complete review records and finalist profile resources stay linked here.
Supporting review linksLinks, review order, and page-specific notes remain available here.
5000 candidates for Engineering. Open matching profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
- 01Site contextShared review rules
- 02Role familyOpen the focused review record
- 03Profile pageOpen the candidate page
- 04Profile resourcesEvidence, setup, trust, trial, and history files
Use the links and review path below for role-family candidates, job brief context, and finalist profile resources before action.