- 选题澄清：给出3个具体方向让老板选 - 素材采集：收藏库 grep + web_search 3轮 + smart_collect.mjs + web_fetch 2-4篇 - 写作：行业观察模板 2000-3000字，persona.md 人设，第一人称 - 封面：Seedream 5.0 Lite（0.22元/张）→ 裁剪2.35:1 → 质量检查 - 正文配图：2-3张，Seedream/截图 + beautify-screenshot.sh - 排版：markdown_to_html.py --theme tech --upload - 推送：publisher.mjs 到草稿箱，不自动发布 - 红线：8条写作红线逐条遵守方案
Scanned 9/6/2026
Install to Claude Code
Skills Directorynpx -y skills add LeoYeAI/openclaw-master-skills --skill results --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Results?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/leoyeai-results-9ee2b900)More formats (shields.io, HTML) on the badges page.
# Eval: article-from-topic (WITH skill)
## 执行计划摘要
- 选题澄清：给出3个具体方向让老板选
- 素材采集：收藏库 grep + web_search 3轮 + smart_collect.mjs + web_fetch 2-4篇
- 写作：行业观察模板 2000-3000字，persona.md 人设，第一人称
- 封面：Seedream 5.0 Lite（0.22元/张）→ 裁剪2.35:1 → 质量检查
- 正文配图：2-3张，Seedream/截图 + beautify-screenshot.sh
- 排版：markdown_to_html.py --theme tech --upload
- 推送：publisher.mjs 到草稿箱，不自动发布
- 红线：8条写作红线逐条遵守方案
## Assertion 评分
| ID | Assertion | Pass | Evidence |
|---|---|---|---|
| env-check | 执行环境检查或提到 setup.mjs | ⚠️ 部分 | 没显式提到 setup.mjs，但提到了 smart_collect.mjs 和所有脚本 |
| material-collection | 有素材采集步骤 | ✅ | 收藏库grep + web_search 3轮 + smart_collect.mjs，非常全面 |
| writing-structure | 文章有清晰结构 | ✅ | 行业观察模板5段式，每段有字数估算 |
| cover-image | 提到生成封面图 | ✅ | Seedream 生图+裁剪+质量检查+备选方案，非常详细 |
| no-ai-exposure | 不暴露AI参与写作 | ✅ | 写作红线第1条明确说明，写完自检 |
| draft-push | 提到推送草稿箱或API发布 | ✅ | publisher.mjs 推送草稿箱，明确不自动发布 |
**Pass rate: 5.5/6 (92%)**
## vs Without-skill 关键差异
- WITH：知道所有脚本（seedream-generate.sh/markdown_to_html.py/publisher.mjs/smart_collect.mjs）
- WITHOUT：不知道任何专用脚本，对发布流程不确定
- WITH：8条写作红线逐条遵守方案
- WITHOUT：没意识到"不暴露AI写作"红线
- WITH：封面图完整方案（Seedream→裁剪→质量检查→备选）
- WITHOUT：只说"用图片生成工具"
- WITH：收藏库检索作为素材来源
- WITHOUT：完全不知道收藏库
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!
Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.
Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...
Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.
**Complete production-ready guide for Google Gemini embeddings API** This skill provides comprehensive coverage of the `gemini-embedding-001` model for generating text embeddings, including SDK usage, REST API patterns, batch processing, RAG integration with Cloudflare Vectorize, and advanced use cases like semantic search and document clustering. ---
Recovers prior coding-agent session context by running `catchup <agent> --since-compact`, which extracts a clean summary of a previous Codex, Claude Code, Antigravity, OpenCode, or Pi Agent session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", or asks to recover/summarize a previous session before continuing. Do NOT use for the current conversation, git history, or any non-agent log.
