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React · Prompt engineering
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | How PostHog "canvas" dashboards work end-to-end — the two rendering tiers (json-render vs freeform React-in-iframe), the agent system prompts that steer each, and the RIGHT way to fetch PostHog data… | PostHog/ | 179 | — | ~2.2k | Automated safety check: Pass | MIT | 2 mo ago |
| 2 | AI agent and LLM system engineering reference covering single-agent dev (ReAct, tool calling, plan-execute), multi-agent coordination (swarm, role decomposition, file locking), LLM security (prompt… | telagod/ | 244 | — | ~691 | Automated safety check: Pass | MIT | 2 mo ago |
| 3 | A skill your agent uses when tackling complex reasoning tasks requiring step-by-step logic, multi-step arithmetic, commonsense reasoning, symbolic manipulation, or problems where simple prompting… | NeoLabHQ/ | 1.8k | — | ~5.5k | Automated safety check: Pass | GPL-3.0 | 1 mo ago |
| 4 | 4.Dspy Optimize and build programmatic prompt systems with Stanford DSPy. | magnus919/ | 115 | — | ~2k | Automated safety check: Pass | MIT | yesterday |
| 5 | Generate optimized LLM prompts using chain-of-thought, ReAct, and other scientific reasoning patterns | lamm-mit/ | 246 | — | ~522 | Automated safety check: Pass | Apache-2.0 | 1 mo ago |