open-steps
kharmanskyi
Skills that translate your coding agent's output into plain language: honest reports, straight verdicts, steps you can follow. MIT.
GITHUB TOPIC
5projects include this topic
The "prompt-optimization" topic on GitHub groups 5 open-source projects in the DeepSeek Harness (DSH) ecosystem, led by open-steps with 389 GitHub stars. open-steps — Skills that translate your coding agent's output into plain language: honest reports, straight verdicts, steps you can follow. Every project here is indexed by DSH Universe with live GitHub data — stars, activity and install status — so you can compare and install directly.
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Exact GitHub Topic match
kharmanskyi
Skills that translate your coding agent's output into plain language: honest reports, straight verdicts, steps you can follow. MIT.
001TMF
Turn Claude Code into its own Meta-Harness — a skill that evolves the scaffolding around a fixed model (memory, retrieval, context, prompts) via a native propose→score→Pareto loop. Native reimplementation of Meta-Harness (Lee et al. 2026).
jasonliu119
Open AI-agent skill and DeepSeek function-calling adapter for turning ideas and public reference images into production-ready image prompts.
060625dfy
DSH plugin for optimizing input (Trae CN-style): the ✨ button next to the model selector rewrites your idea into a high-quality, faithful, directly executable prompt in one click, ↩ undoes and restores the original. An input-optimizer plugin for DeepSeek Harness web GUI.
xkjxziochu
Standalone dsh plugin: rewrite the composer draft into a better prompt through the harness's own LLM routes, with an original/optimized comparison.