GitHub
removing-worktree
Use when user wants to safely remove an autonomy worktree while preserving the branch
Skills IA DevOps
Découvrez les skills DevOps, comparez leurs dépôts et consultez leurs instructions.
Catégories: DevOps
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Explorer
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
GitHub
reviewing-progress
Use when user wants to assess progress toward an open-ended goal by reading and summarizing all iteration journals
GitHub
qualitative-research
Use when conducting customer discovery interviews, user research, surveys, focus groups, or observational research requiring rigorous analysis - provides systematic 6-phase framework with mandatory bias prevent...
GitHub
codegen-refactor
Perform refactoring using TDD starting from README + Issue (following codegen-test), aligning with existing implementation conventions, and leveraging Serena MCP semantic search/editing to improve internal qual...
GitHub
codegen-bug-fix
Fix bugs using TDD starting from README + Issue (following codegen-test), aligning with existing implementation conventions, and leveraging Serena MCP semantic search/editing to implement changes with high perf...
GitHub
codegen-feature
Implement new features using TDD starting from README + Issue (following codegen-test), aligning with existing implementation conventions, and leveraging Serena MCP semantic search/editing to deliver high perfo...
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.