Prompt-Engineering-Guide
dair-ai🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
Best for
Community topics include agent, agents, ai-agents, chatgpt, deep-learning, generative-ai.
OpenHands
🙌 OpenHands: AI-Driven Development
74
SkillRank score
Niche fit
#42
Rank
Open source agent / repo
77,870
Verified GitHub
Stars from mapped public repository.
Source Confidence
Source match
Confirmed
Recorded history
7 snapshots
Official link
Attached
Freshness
1 days
Fit Meter
Product fit
74/100
Based on the current SkillRank score for this model profile.
Source confidence
99/100
GitHub source matches the recorded repository metadata.
Adoption signal
88/100
Derived from verified GitHub star scale.
Freshness
92/100
Last profile or source update is 1 days old.
Overview
🙌 OpenHands: AI-Driven Development
Fit matrix
Best for
Community topics include agent, artificial-intelligence, chatgpt, claude-ai, cli, developer-tools.
Not ideal for
OpenHands assumes engineers will integrate IDEs, repos, and secrets thoughtfully. It is not a replacement for security review, architectural governance, or regulated deployment sign-off.
Strengths
Weaknesses
Commercial notes
Listed as “Open source” on SkillRank for quick triage. Enterprise tiers, inference bundles, and regional tax often diverge from headline pricing—budget owners should validate quotes with OpenHands directly before committing spend.
Listed tier: Open source
Setup
Start from the official installer or IDE extension, connect a scratch repository, and gate secrets via your existing vault. Roll out to a pilot squad with lint rules and code-review habits unchanged—agents amplify workflow, they rarely replace policy.
Evaluation
OpenHands should be tested on a fixed set of real repository tasks before adoption: one bug fix, one multi-file refactor, one dependency upgrade, one failing-test investigation, and one documentation pass. Measure accepted diff rate, reviewer corrections, token or subscription cost, time to first useful patch, and how often the agent needs sensitive permissions.
Rollout plan
Roll out OpenHands in a low-risk repository first, with branch protection, code review, secret scanning, and a clear rule that generated changes are reviewed like human changes. Move to production services only after the team has a repeatable prompt and review pattern.
Risk controls
Keep OpenHands away from production secrets unless the access path is audited. Log tool calls, review dependency changes carefully, and require human approval for migrations, credential handling, destructive commands, and security-sensitive diffs.
Capabilities
Data sources
SkillRank separates editorial model profiles from GitHub-verified repository telemetry. Public repository rows are checked against the GitHub API during the daily crawler. Vendor positioning statements are summarized from official pages. Always verify SLAs, regions, pricing, and availability on the provider site before procurement. Primary upstream URL (https://github.com/OpenHands/OpenHands) is used for repository metadata such as stars, forks, license, topics, and recent push date.
Last updated
Editorial snapshot 2026-06-20. Recorded snapshots appear when available; GitHub stars appear only for verified public repositories. Automated signals may lag vendor-only releases or private forks.
Compare next
Directional peers from the same SkillRank dataset. Pair the shortlist with pilots before standardizing vendor contracts.
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
Best for
Community topics include agent, agents, ai-agents, chatgpt, deep-learning, generative-ai.
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
Best for
Community topics include ai4science, chineseocr, document-parsing, document-translation, kie, ocr.
The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.
Best for
Community topics include agent, agent-collaboration, agent-harness, ai, chatgpt, claude.
🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman
Best for
Community topics include ai, anthropic, caveman, claude, claude-code, llm.
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
Best for
Community topics include agentic-ai, agentic-retrieval, agentic-search, ai, ai-agents, context-engine.
🗂 The essential checklist for modern web development, for humans and AI agents
Best for
Community topics include ai-agent, ai-agents, checklist, css, front-end-developer-tool, front-end-development.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Best for
Community topics include agent, ai, deepseek, fine-tuning, gemma, gpt.
TradingAgents: Multi-Agents LLM Financial Trading Framework
Best for
Community topics include agent, finance, llm, multiagent, trading.