relay-dsh-plugin-skill-creator
Run the following command in DeepSeek Harness:
dsh plugin install yangbobo2021/relay-dsh-plugin-skill-creator
Paste the following prompt into your AI chat to install this plugin:
Install in DeepSeek Harness by running dsh plugin install yangbobo2021/relay-dsh-plugin-skill-creator. The full source is at https://github.com/yangbobo2021/relay-dsh-plugin-skill-creator.
About this plugin
After a productive multi-turn DeepSeek Harness conversation, turning the exchange into a reusable Skill is often the missing next step. relay-dsh-plugin-skill-creator registers a conversation-to-skill workflow that extracts user corrections into numbered requirement, evidence, test, and oracle contracts, then proposes a target path, complete file tree, requirement coverage, exclusions, and a validation plan. Files are written only after explicit confirmation, and resources such as SKILL.md, references/, scripts/, and assets/ are created only when the extracted workflow actually needs them.
Quality and safety are built into the pipeline: completion includes structural validation, a runtime PII-canary gate, generated-script checks, and DSH discovery. When Session creation is available, a fresh Session on the same account verifies natural routing and reuse with no cross-Agent accounts required. Small bundles carry proposal and generation token budgets, and overruns are reported honestly rather than silently truncated. V1 relies solely on the conversation and artifacts visible in the current DSH context and makes no claim to expired or hidden history.
Ideal for engineers and agent orchestrators who run frequent multi-turn DSH conversations and want to solidify experience into team-shared Skills. A single conversation-to-skill invocation turns a dialogue into a reviewed, validated, reusable asset without manual documentation effort.
Use Cases
- Solidify multi-turn conversation experience into a reviewed, validated Skill
- Share validated dialogue workflow templates across a team with PII canary gates
- Convert user corrections into numbered requirement, evidence, and test contracts
Best For
- Engineers running frequent multi-turn DSH conversations
- Agent orchestrators managing team-level skill assets
- Process automation engineers seeking to reduce manual documentation effort
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