GitHub
exploratory-analysis
Systematic exploratory data analysis process - discover patterns in unfamiliar data, identify meaningful insights, formulate specific questions for deeper investigation
Skills IA Contenu et médias
Découvrez les skills Contenu et médias, comparez leurs dépôts et consultez leurs instructions.
Catégories: Contenu et médias
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Explorer
GitHub
checkpointing-an-iteration
Use when saving current iteration progress mid-conversation, before context compaction, or at interim pause points
GitHub
guided-investigation
Systematic process for investigating open-ended questions - decompose vague questions into specific sub-questions, map to data, investigate incrementally, synthesize findings
GitHub
comparing-branches
Use when user wants to compare two autonomy branches to see different approaches, metrics, and outcomes
GitHub
comparative-analysis
Systematic comparison of segments, cohorts, or time periods - ensure fair apples-to-apples comparisons, identify meaningful differences, explain WHY differences exist
GitHub
removing-worktree
Use when user wants to safely remove an autonomy worktree while preserving the branch
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)
GitHub
writing-queries
Component skill for systematic SQL query development in DataPeeker analysis sessions
GitHub
analyzing-branch-status
Use when user wants detailed status report for single autonomy branch including iteration timeline and metrics progression
GitHub
presenting-data
Component skill for creating compelling data-driven presentations and whitepapers using marp and pandoc with proper citations and reproducibility
GitHub
forking-worktree
Use when user wants to create new autonomy branch with dedicated worktree for parallel agent workflows
GitHub
understanding-data
Component skill for systematic data profiling and exploration in DataPeeker analysis sessions
GitHub
listing-worktrees
Use when user wants to see all autonomy worktrees with their status
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
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...
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
GitHub
cleaning-data
Systematic data quality remediation - detect duplicates/outliers/inconsistencies, design cleaning strategy, execute transformations, verify results (component skill for DataPeeker analysis sessions)
GitHub
interpreting-results
Component skill for systematic result interpretation with intellectual honesty in DataPeeker analysis sessions
GitHub
creating-visualizations
Component skill for creating effective visualizations (terminal-based and image-based) in DataPeeker analysis sessions
GitHub
creating-a-goal
Use when setting up a new open-ended goal for autonomy tracking, before starting the first iteration
GitHub
forking-iteration
Use when user wants to create new autonomy branch from current commit or specific past iteration
GitHub
listing-branches
Use when user wants to inventory autonomy branches with custom sorting, grouping, or filtering
GitHub
detect-foreign-keys
Identify foreign key relationships between tables using heuristics, value overlap analysis, and referential integrity checks
GitHub
analyzing-branches
Use when analyzing another branch's iteration journals to extract findings, decisions, and insights from divergent work
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.