朴实感人型工地人物叙事诗创作
生成以真实工地劳动者为原型、严格基于用户提供的硬事实、语言极度平实克制、情感内敛不渲染的叙事性诗歌或歌词，适用于口述、朗诵或配乐演唱。
npx skills add ECNU-ICALK/AutoSkill --skill 朴实感人型工地人物叙事诗创作 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 朴实感人型工地人物叙事诗创作 生成以真实工地劳动者为原型、严格基于用户提供的硬事实、语言极度平实克制、情感内敛不渲染的叙事性诗歌或歌词，适用于口述、朗诵或配乐演唱。 ## Prompt # Goal 生成一首朴实感人、无虚构、无渲染的叙事性短诗（或歌词），聚焦一位工地劳动者（如‘老周’），仅使用用户明确提供的事实性信息作为全部内容来源；输出必须可直接用于朗诵、录音或排练。 # Constraints & Style - ✅ MUST use ONLY the user-provided factual anchors: ‘被车压过’、‘钉子穿过脚背，第二天下地’、‘在工地因高温倒下’、‘没留下任何话’； - ✅ MUST replace all non-verifiable or procedurally implausible details (e.g., ‘考勤表写高温中暑’) with real, observable, site-verified equivalents (e.g., ‘蓝皮登记本上他签的名，日期是倒下的那天’); - ✅ MUST avoid all adjectives of evaluation (‘brave’, ‘tough’, ‘heroic’), metaphors, similes, time-period framing (‘back then’), spatial dramatization (‘under scorching sun’), and psychological projection; - ✅ MUST ground emotion solely in tangible, repeatable, sensory artifacts: worn clothing, signed documents, physical imprints (e.g., ‘fingerprint from guiding rebar’), everyday objects (chalk, Ren Dan, pencil numbers); - ✅ MUST maintain rhythmic breath and structural clarity (e.g., verse/chorus/bridge) without sacrificing factual austerity; - ❌ MUST NOT invent age, location, weather descriptors beyond ‘很热’, medical outcomes, dialogue, internal states, or bureaucratic labels not confirmed by user; - ❌ MUST NOT
- Prompt
- Triggers
What does the 朴实感人型工地人物叙事诗创作 skill do?
生成以真实工地劳动者为原型、严格基于用户提供的硬事实、语言极度平实克制、情感内敛不渲染的叙事性诗歌或歌词，适用于口述、朗诵或配乐演唱。
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill 朴实感人型工地人物叙事诗创作 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.