研究与知识

Check Compound Engineering health and repo-local config.

ce-commit-push-pr

Commit, push, and open a PR. Use when asked to ship/open a PR, or for PR-description-only flows like writing, rewriting, or describing a PR body.

ce-optimize

Run metric-driven optimization loops. Use when improving measurable outcomes such as search relevance, clustering quality, build performance, prompt quality, or scored behavior through experiments.

ce-ideate

Generate and evaluate grounded ideas. Use when the user asks for ideas, improvements, surprising options, or AI-generated directions before choosing one to develop; use ce-brainstorm to refine the user's own idea.

baoyu-wechat-summary

Summarizes WeChat group chat highlights into a structured digest using the local wx-cli binary (https://github.com/jackwener/wx-cli). Generates a normal digest by default; a roast (毒舌) version is opt-in. Maintains per-group history (history.json + history-digests.jsonl), per-user profiles, and per-group fact memory (memory.md) across runs, with privacy guardrails baked in. Use when the user asks to "总结群聊", "群聊精华", "群聊摘要", "summarize group chat", "group chat digest", mentions a WeChat group name with a time range, says "帮我看看 XX 群最近聊了什么", "XX 群有什么值得看的", or asks to "回溯画像" / "初始化画像" / "backfill profiles". Adds the roast version when the user says "毒舌版", "roast 版", "再来个毒舌的", or similar.

jimliu

ce-compound

Document a recently solved problem as a durable repo learning, or capture project vocabulary in CONCEPTS.md. Use when capturing a learning after work.

ce-brainstorm

Explore vague or ambitious ideas into a right-sized requirements-only unified plan. Use when the user wants to brainstorm, think through scope, decide what to build, or needs collaborative product framing before planning. Also use when the user must scope work in territory they say they do not know ("I know nothing about X but need to...") or asks for a blindspot pass — mapping the decision surface before questions begin. Not for executing already-specified work — direct implementation, debugging, or code review where no product scope is left to decide. Not for a decisive verdict on whether to adopt or switch to a specific external technology, library, or platform — brainstorming scopes what to build, not whether to commit to an outside option.

ce-plan

Create structured plans for multi-step work, including software and non-software tasks. Use when asked to plan, break down implementation, plan from requirements, or deepen an existing plan; prefer ce-brainstorm for exploratory framing.

hatch-pet

22Kresearch-knowledge

Create, repair, validate, visually QA, and package Codex-compatible animated pets and pet spritesheets from character art, generated images, company or prospect brand cues, or visual references. Use when a user wants a lightweight-worker Codex pet workflow, a non-pixel custom pet style, a prospect or company mascot pet, or a full 8x9 animated pet atlas with transparent unused cells, QA contact sheets, and pet.json packaging. This skill composes the installed $imagegen system skill for visual generation and uses bundled scripts for deterministic spritesheet assembly.

openai

pua-en

19Kresearch-knowledge

针对重复失败、被动行为、完成质量问题或明确要求“更努力”的性能辅导模式。采用结构化故障排查和证据优先的交付习惯。

tanweai

hindsight-docs

19Kresearch-knowledge

面向AI代理的完整Hindsight文档。使用此文档了解Hindsight架构、API、配置和最佳实践。

vectorize-io

notebooklm

18Kresearch-knowledge

Complete API for Google NotebookLM - full programmatic access including features not in the web UI. Create notebooks, add sources, generate all artifact types, download in multiple formats. Activates on explicit /notebooklm or intent like "create a podcast about X"

teng-lin

context-fundamentals

17Kresearch-knowledge

此技能应用于解释或推理上下文工程的基础概念：什么是上下文、上下文窗口的构成、注意力机制的工作原理、U型注意力曲线、为什么上下文质量比数量更重要，以及理解所有其他上下文工程决策所需的思维模型。用于概念解释、入门培训和背景阅读。将操作性工作路由到专门技能：调试注意力失败转到context-degradation，令牌效率工作转到context-optimization，对话摘要转到context-compression，项目形态决策转到project-development。

muratcankoylan

bigquery-ai-ml

16Kresearch-knowledge

Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-series forecasting, predict values, detect outliers or anomalies, find key drivers, perform semantic search or vector search, classify text, calculate similarity, summarize content, translate language, evaluate models, filter by semantic conditions, or leverage generative AI capabilities in BigQuery. Do not use for general BigQuery dataset, table, or job management requests.

google

agent-platform-deploy

15Kresearch-knowledge

Deploy open models or custom weights from Model Garden to Agent Platform endpoints, check the status of an in-progress deployment operation, or clean up resources by undeploying models and deleting endpoints. Use when asked to actively deploy a model, list the Model Garden CATALOG of available models, check if a specific model is deployable (`gcloud ai model-garden models list-deployment-config`), query deployment cost, troubleshoot deployment errors (like quota limits), or undeploy/clean up endpoints. Also use when copying and deploying a 1P Tuned Model. Don't use for pure listing/discovery questions of the form "is X deployed?", "list my endpoints", or "which regions have models running?" — for those use `agent-platform-endpoint-management`. Don't use for public Vertex AI deployments (use the `vertex-deploy` skill) or for running model evaluations (use the `agent-platform-eval-flywheel` skill).

google

gemini-api

15Kresearch-knowledge

Use when the user asks about using Gemini in an enterprise environment or explicitly mentions Vertex AI, Google Cloud, or Agent Platform. Guides the usage of the Gemini API on Agent Platform with the Google Gen AI SDK. Covers SDK usage (Python, JS/TS, Go, Java, C#), capabilities like multimodal inputs, tools, media generation, caching, batch prediction, and Live API.

google

seo-flow

13Kresearch-knowledge

FLOW框架集成：基于证据的SEO，使用“发现→利用→优化→获胜”循环。从FLOW知识库（41个提示，CC BY 4.0）中提取特定阶段的AI提示。当用户提到“FLOW”、“FLOW框架”、“seo flow”、“基于证据的SEO”、“发现利用优化获胜”或需要特定阶段的SEO提示时使用。

seo-cluster

SERP-based semantic topic clustering for content architecture planning. Groups keywords by actual Google SERP overlap (not text similarity), designs hub-and-spoke content clusters with internal link matrices, and generates interactive visualizations. Optionally executes content creation if claude-blog is installed. Use when user says "topic cluster", "content cluster", "semantic clustering", "pillar page", "hub and spoke", "content architecture", "keyword grouping", or "cluster plan".

seo-backlinks

反向链接画像分析：引荐域名、锚文本分布、毒性链接检测、竞争对手差距分析。支持免费 API（Moz、Bing Webmaster、Common Crawl）和 DataForSEO 扩展。当用户提及反向链接、链接画像、引荐域名、锚文本、毒性链接、链接差距、链接建设、拒绝或反向链接审计时使用。

seo-hreflang

Hreflang 和国际 SEO 审计、验证与生成。检测常见错误，验证语言/地区代码，并生成正确的 hreflang 实现。当用户提到“hreflang”、“i18n SEO”、“国际 SEO”、“多语言”、“多地区”或“语言标签”时使用。

seo-sitemap

分析现有的XML站点地图或使用行业模板生成新的站点地图。验证格式、URL和结构。当用户提到“站点地图”、“生成站点地图”、“站点地图问题”或“XML站点地图”时使用。

seo-content

内容质量与E-E-A-T分析，附带AI引用就绪度评估。当用户提到“内容质量”、“E-E-A-T”、“内容分析”、“可读性检查”、“内容单薄”或“内容审计”时使用。

seo-competitor-pages

Generate SEO-optimized competitor comparison and alternatives pages. Covers "X vs Y" layouts, "alternatives to X" pages, feature matrices, schema markup, and conversion optimization. Use when user says "comparison page", "vs page", "alternatives page", "competitor comparison", "X vs Y", "versus", "compare competitors", or "alternative to".