blog-post-creator
Create new Hugo blog posts with proper frontmatter and directory structure. Use when creating new blog posts, articles, or content for the Hugo site.
发现 工具与集成 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
Create new Hugo blog posts with proper frontmatter and directory structure. Use when creating new blog posts, articles, or content for the Hugo site.
Semantic code search using natural language queries. Use when users ask "where is X implemented", "how does Y work", "find the logic for Z", or need to locate code by concept rather than exact text. Returns fil...
Expert writing for technical content, social media, and developer documentation. Use when asked to write tweets, LinkedIn posts, blog posts, READMEs, commit messages, feature announcements, or any written conte...
Find real-world code examples across millions of GitHub repositories. Use when the user wants to see how others implement something, find usage patterns, or discover code examples in the wild.
Look up library and framework documentation. Use when the user asks about API docs, library usage, framework features, or mentions specific libraries/packages by name.
Fetch GitHub issues, PRs, repo contents, and code using the gh CLI. Use when the user shares GitHub URLs (issues, PRs, repos, source files) or asks about GitHub content. The gh CLI provides complete content tha...
Delegate repetitive tasks to specialized agent to preserve context. Use when user asks to fix linting errors, fix diagnostics, rename variables across files, update imports, fix formatting issues, or perform ot...
Systematic marketing experimentation process - discover concepts, generate hypotheses, coordinate multiple experiments, synthesize results, generate next-iteration ideas through rigorous validation cycles
Rigorous hypothesis testing process for data analysis - formulate hypotheses before looking at data, design tests, analyze systematically, interpret with skepticism
Use when concluding work on an open-ended goal to write iteration journal entry documenting work performed, decisions made, and state changes
Systematic exploratory data analysis process - discover patterns in unfamiliar data, identify meaningful insights, formulate specific questions for deeper investigation
Use when saving current iteration progress mid-conversation, before context compaction, or at interim pause points
Systematic process for investigating open-ended questions - decompose vague questions into specific sub-questions, map to data, investigate incrementally, synthesize findings
Use when user wants to compare two autonomy branches to see different approaches, metrics, and outcomes
Systematic comparison of segments, cohorts, or time periods - ensure fair apples-to-apples comparisons, identify meaningful differences, explain WHY differences exist
Use when user wants to safely remove an autonomy worktree while preserving the branch
Systematic CSV import process - discover structure, design schema, standardize formats, import to database, detect quality issues (component skill for DataPeeker analysis sessions)
Component skill for systematic SQL query development in DataPeeker analysis sessions
Use when user wants detailed status report for single autonomy branch including iteration timeline and metrics progression
Component skill for creating compelling data-driven presentations and whitepapers using marp and pandoc with proper citations and reproducibility
Use when user wants to create new autonomy branch with dedicated worktree for parallel agent workflows
Component skill for systematic data profiling and exploration in DataPeeker analysis sessions
Use when user wants to see all autonomy worktrees with their status
Use when beginning a new conversation to work on an open-ended goal, loading context from previous iterations through iteration journals
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。