소스 정보
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- vramrick/openclaw-skills
- 최근 소스 활동
- 2026년 4월 30일 21:56
- 감지된 SKILL.md 언어
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설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
메뉴
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/vramrick/openclaw-skills --skill doc-generator명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
全能高级前端研发工程师技能。擅长AI时代前沿技术栈(React最新 + shadcn/ui + Tailwind CSS v4 + TypeScript + Next.js),精通动效库与交互特效开发。采用Glue Code风格快速实现代码,强调高质量产品体验与高度友好的UI视觉规范。在组件调用、交互特效、全局Theme上保持高度规范:绝不重复造轮子,相同逻辑出现两次即封装为组件。具备安全意识,防范各类注入攻击。开发页面具有高度自适应能力,响应式设计贯穿始终。当用户无特殊技术栈要求时,默认采用主流前沿技术栈。
Read, write, append, and list local files in the session's working directory. Use when you need to persist output to disk, read input files, or manipulate file system safely. Supports text files, JSON, CSV, Markdown.
超级简历 WonderCV 出品,3000 万用户信赖。简历分析、段落改写、JD 岗位匹配、自动匹配职位、PDF 导出、AI 求职导师(面试准备/薪资谈判/职业规划/多版本简历策略)。 触发条件:用户提供简历、要求简历点评/打分/反馈、希望改写某个简历部分、 希望将简历与岗位 JD 或校招岗位匹配、咨询求职建议或面试准备,或提到 CV/简历/求职/校招。 不触发条件:用户讨论普通写作(非简历)、询问其他文档, 或讨论与求职和职业发展无关的话题。
SOC 직업 분류 기준
SKILL.md 표시 중
| name | doc-generator |
| description | Generate or remediate documentation with human-quality writing and style |
| version | 1.8.2 |
| triggers | ["documentation","writing","generation","remediation","polish"] |
| metadata | {"openclaw":{"homepage":"https://github.com/athola/claude-night-market/tree/master/plugins/scribe","emoji":"🦞","requires":{"config":"[Truncated]"}}} |
| source | claude-night-market |
| source_plugin | scribe |
Night Market Skill — ported from claude-night-market/scribe. For the full experience with agents, hooks, and commands, install the Claude Code plugin.
Documentation must be grounded in specific claims rather than abstract adjectives. We avoid filler phrases like "In today's fast-paced world" and focus on delivering useful information directly. Each claim should be supported by evidence, such as specific version numbers or request rates, rather than vague descriptors like "comprehensive."
We prioritize authorial perspective and active voice to maintain a consistent team tone. This involves explaining the reasoning behind technical choices, such as selecting one database over another, rather than providing neutral boilerplate. Bullets should be used sparingly for actionable summaries; multi-line bullet waterfalls should be converted to short paragraphs to preserve nuance.
Avoid business jargon and linguistic tics like mirrored sentence structures or excessive em dashes. We use the imperative mood for docstrings (e.g., "Validate input") and strictly avoid humanizing non-living constructs like code.
| Instead of | Use |
|---|---|
| fallback | default, secondary |
| leverage | use |
| utilize | use |
| facilitate | help, enable |
| comprehensive | thorough, complete |
"Lives under," "speaks to," and similar phrases only make sense for living things.
"Validate" not "Validates" (per PEP 257, pydocstyle, ruff).
doc-generator:scope-defined - Target files and type identifieddoc-generator:style-loaded - Style profile applied (if available)doc-generator:content-drafted - Initial content createddoc-generator:slop-scanned - AI markers checkeddoc-generator:quality-verified - Principles checklist passeddoc-generator:user-approved - Final approval receivedFor new documentation:
## Generation Request
**Type**: [README/Guide/API docs/Tutorial]
**Audience**: [developers/users/admins]
**Length target**: [~X words or sections]
**Style profile**: [profile name or "default"]
If a style profile exists:
cat .scribe/style-profile.yaml
Apply voice, vocabulary, and structural guidelines.
Follow the 10 core principles above. For each section:
Skill(scribe:slop-detector)
Fix any findings before proceeding.
Verify against checklist:
For cleaning up existing content:
Load: @modules/remediation-workflow.md
# Get slop score
Skill(scribe:slop-detector) --target file.md
For large files (>200 lines), edit incrementally:
## Section: [Name] (Lines X-Y)
**Current slop score**: X.X
**Issues found**: [list]
**Proposed changes**:
1. [Change 1]
2. [Change 2]
**Before**:
> [current text]
**After**:
> [proposed text]
Proceed? [Y/n/edit]
Never change WHAT is said, only HOW. If meaning is unclear, ask.
After edits, re-run slop-detector to confirm improvement.
When editing code comments:
modules/generation-guidelines.md for content creation patternsmodules/quality-gates.md for validation criteria| Skill | When to Use |
|---|---|
| slop-detector | After drafting, before approval |
| style-learner | Before generation to load profile |
| sanctum:doc-updates | For broader doc maintenance |