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owainlewis
GitHub 创作者资料

owainlewis

按仓库查看 4 个 GitHub 仓库中的 32 个已收集 skills。

已收集 skills
32
仓库
4
更新
2026-07-11
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仓库与代表性 skills

当前展示该仓库 Top 8 / 17 个已收集 skills。
email-triage
综合办公文员

Triage an email inbox into a small action queue. Use when the user asks to process, clean up, rank, label, archive, or draft replies for email.

2026-07-02
humanizer
技术写作员

Rewrite any writing so it sounds clear, human, and plain. Use for landing pages, emails, docs, posts, scripts, lessons, prompts, and messages with AI slop, purple prose, cliches, em dashes, hype, vague claims, or over-polished language.

2026-06-29
backlog-manager
项目管理专家

Manage an engineering backlog for humans and AI agents: classify issues, improve issue quality, sync PR state, and label safe tickets for agent execution. Use when GitHub Issues, GitHub Projects, Linear, or an explicit local backlog path is the source of truth.

2026-06-24
clarify
项目管理专家

Turns vague, messy, voice-dictated, or multi-part asks into a self-contained prompt a fresh agent can execute. Use when the user asks to clarify, stress-test, tighten a plan, or resolve references like "the thing". Interviews one question at a time, then outputs a final prompt.

2026-06-24
explain-visually
其他高等院校教师

Creates a responsive HTML explainer with source-grounded copy, teaching diagrams, and browser-verified layout. Use when the user asks to visualize, diagram, or explain something as an HTML artifact.

2026-06-24
feynman
其他高等院校教师

Explains one technical theme as a teachable document with mechanism-first sections, examples, edge cases, and an exercise. Use when the user asks to explain, teach, or document a concept as a course lesson, YouTube reference, or newsletter basis.

2026-06-24
prompt-enhance
其他计算机职业

Rewrites a rough prompt, voice dump, or half-written instruction into an agent-ready prompt. Use when the user asks to make a prompt better, enhance/refine a prompt, clean up instructions for an agent, or improve pasted prompt text. One-shot transformer; does not interview.

2026-06-24
compress
其他计算机职业

Simplifies skills, prompts, and agent instructions to their most basic useful form: load-bearing verbs, nouns, constraints, examples, and checks. Use when the user asks to compress, simplify, shorten, tighten, de-noop, remove noise, or trim a prompt, spec, plan, or skill file.

2026-06-24
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