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Skills IA Outils

Découvrez les skills Outils, comparez leurs dépôts et consultez leurs instructions.

Catégories: Outils

45,553–45,576 sur 87,268

Explorer

GitHub

blog-post-creator

novemberde

Create new Hugo blog posts with proper frontmatter and directory structure. Use when creating new blog posts, articles, or content for the Hugo site.

GitHub

ggrep

GoodFarming

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...

GitHub

write

waynesutton

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...

GitHub

code-examples

krmcbride

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.

GitHub

documentation-lookup

krmcbride

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.

GitHub

github-content

krmcbride

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...

GitHub

code-cleanup

krmcbride

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...

GitHub

marketing-experimentation

tilmon-engineering

Systematic marketing experimentation process - discover concepts, generate hypotheses, coordinate multiple experiments, synthesize results, generate next-iteration ideas through rigorous validation cycles

GitHub

hypothesis-testing

tilmon-engineering

Rigorous hypothesis testing process for data analysis - formulate hypotheses before looking at data, design tests, analyze systematically, interpret with skepticism

GitHub

ending-an-iteration

tilmon-engineering

Use when concluding work on an open-ended goal to write iteration journal entry documenting work performed, decisions made, and state changes

GitHub

exploratory-analysis

tilmon-engineering

Systematic exploratory data analysis process - discover patterns in unfamiliar data, identify meaningful insights, formulate specific questions for deeper investigation

GitHub

guided-investigation

tilmon-engineering

Systematic process for investigating open-ended questions - decompose vague questions into specific sub-questions, map to data, investigate incrementally, synthesize findings

GitHub

comparing-branches

tilmon-engineering

Use when user wants to compare two autonomy branches to see different approaches, metrics, and outcomes

GitHub

comparative-analysis

tilmon-engineering

Systematic comparison of segments, cohorts, or time periods - ensure fair apples-to-apples comparisons, identify meaningful differences, explain WHY differences exist

GitHub

importing-data

tilmon-engineering

Systematic CSV import process - discover structure, design schema, standardize formats, import to database, detect quality issues (component skill for DataPeeker analysis sessions)

GitHub

presenting-data

tilmon-engineering

Component skill for creating compelling data-driven presentations and whitepapers using marp and pandoc with proper citations and reproducibility

GitHub

forking-worktree

tilmon-engineering

Use when user wants to create new autonomy branch with dedicated worktree for parallel agent workflows

GitHub

starting-an-iteration

tilmon-engineering

Use when beginning a new conversation to work on an open-ended goal, loading context from previous iterations through iteration journals

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.

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