GitHub
github-content
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...
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研究与调研 AI 技能
发现 研究与调研 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。
分类目录: 研究与调研
研究与调研 清除筛选
全部技能
GitHub
code-cleanup
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...
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GitHub
marketing-experimentation
Systematic marketing experimentation process - discover concepts, generate hypotheses, coordinate multiple experiments, synthesize results, generate next-iteration ideas through rigorous validation cycles
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GitHub
hypothesis-testing
Rigorous hypothesis testing process for data analysis - formulate hypotheses before looking at data, design tests, analyze systematically, interpret with skepticism
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GitHub
ending-an-iteration
Use when concluding work on an open-ended goal to write iteration journal entry documenting work performed, decisions made, and state changes
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GitHub
exploratory-analysis
Systematic exploratory data analysis process - discover patterns in unfamiliar data, identify meaningful insights, formulate specific questions for deeper investigation
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GitHub
checkpointing-an-iteration
Use when saving current iteration progress mid-conversation, before context compaction, or at interim pause points
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GitHub
guided-investigation
Systematic process for investigating open-ended questions - decompose vague questions into specific sub-questions, map to data, investigate incrementally, synthesize findings
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GitHub
comparing-branches
Use when user wants to compare two autonomy branches to see different approaches, metrics, and outcomes
☆ 2查看技能
GitHub
comparative-analysis
Systematic comparison of segments, cohorts, or time periods - ensure fair apples-to-apples comparisons, identify meaningful differences, explain WHY differences exist
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GitHub
removing-worktree
Use when user wants to safely remove an autonomy worktree while preserving the branch
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GitHub
importing-data
Systematic CSV import process - discover structure, design schema, standardize formats, import to database, detect quality issues (component skill for DataPeeker analysis sessions)
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GitHub
writing-queries
Component skill for systematic SQL query development in DataPeeker analysis sessions
☆ 2查看技能
GitHub
analyzing-branch-status
Use when user wants detailed status report for single autonomy branch including iteration timeline and metrics progression
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GitHub
presenting-data
Component skill for creating compelling data-driven presentations and whitepapers using marp and pandoc with proper citations and reproducibility
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GitHub
forking-worktree
Use when user wants to create new autonomy branch with dedicated worktree for parallel agent workflows
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GitHub
understanding-data
Component skill for systematic data profiling and exploration in DataPeeker analysis sessions
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GitHub
listing-worktrees
Use when user wants to see all autonomy worktrees with their status
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GitHub
starting-an-iteration
Use when beginning a new conversation to work on an open-ended goal, loading context from previous iterations through iteration journals
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GitHub
using-sqlite
Use when working with SQLite databases in DataPeeker analysis sessions - querying data, importing CSVs, exploring schemas, formatting output, or optimizing performance. Provides task-oriented guidance for effec...
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GitHub
slime-strategy
Use when user wants to set up slime mold exploration strategy with parallel autonomy branches for genetic algorithm approach to problem-solving
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GitHub
cleaning-data
Systematic data quality remediation - detect duplicates/outliers/inconsistencies, design cleaning strategy, execute transformations, verify results (component skill for DataPeeker analysis sessions)
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GitHub
interpreting-results
Component skill for systematic result interpretation with intellectual honesty in DataPeeker analysis sessions
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GitHub
creating-visualizations
Component skill for creating effective visualizations (terminal-based and image-based) in DataPeeker analysis sessions
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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。