store-memory
Store information in the hierarchical memory system. Supports three tiers: working (ephemeral), episodic (recent events), and semantic (permanent patterns). Use for learning from observations. Keywords: memory,...
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Store information in the hierarchical memory system. Supports three tiers: working (ephemeral), episodic (recent events), and semantic (permanent patterns). Use for learning from observations. Keywords: memory,...
Score task complexity using keyword matching and heuristics
Look up current library documentation via Context7 MCP. Use when writing code that uses external libraries, frameworks, or packages to ensure correct API usage.
Look up current library documentation via Context7 MCP. Use when writing code that uses external libraries, frameworks, or packages to ensure correct API usage.
DEPRECATED - Use writing-skills instead. This skill has been consolidated into writing-skills which now contains both skill creation and testing methodology.
Validates project wrangler version on session start, detects breaking changes, and recommends updates
Clean up and organize markdown files dumped at project root. Routes files to appropriate directories (memos/, docs/, devops/docs/) or deletes obsolete content. Follows project file organization guidelines from...
Update the wrangler plugin to the latest version by clearing all caching layers. Use when user says "update yourself", "update wrangler", or after pushing changes to the wrangler repo.
This skill should be used when working with Haskell projects, "cabal.project", "stack.yaml", "ghc", "cabal build/test/run", "stack build/test/run", or Haskell language patterns. Provides comprehensive Haskell e...
Auto-generated skill from cross-repo pattern - Pattern detected in 20 repositories
Generates git commit messages following Conventional Commits 1.0.0 specification with semantic types (feat, fix, etc.), optional scope, and breaking change annotations. Use when committing code changes or creat...
Auto-generated skill from cross-repo pattern - Pattern detected in 17 repositories
Multi-repository git synchronization patterns for batch operations
Periodic cross-repo reflection analyzing 30 days of git history, extracting patterns via RAGS loop, and auto-creating skills
Use before finalizing answers or PRs: confirm requirements met, run checks, and avoid “looks good” without evidence in VS Code Copilot Agent mode.
This skill should be used when the user asks to "write elisp", "emacs config", "init.el", "use-package", ".el file", "emacs lisp", or "magit". Provides comprehensive Emacs ecosystem patterns and best practices....
This skill should be used when the user asks to "write typescript", "typescript config", "tsconfig", "type definition", "generics", "utility types", or works with TypeScript language patterns and configuration....
This skill should be used when working with Swift projects, "Package.swift", "swift build/test/run", "swiftc", SwiftLint, SwiftFormat, or Swift language patterns. Provides comprehensive Swift ecosystem patterns...
This skill should be used when working with Rust projects, "Cargo.toml", "rustc", "cargo build/test/run", "clippy", "rustfmt", or Rust language patterns. Provides comprehensive Rust ecosystem patterns and best...
This skill should be used when the user asks to "write common lisp", "CLOS", "ASDF", "defpackage", "defsystem", or works with Common Lisp, SBCL, or Coalton. Provides comprehensive Common Lisp ecosystem patterns...
Use when starting any conversation - establishes mandatory workflows for finding and using skills, including using Skill tool before announcing usage, following brainstorming before coding, and creating TodoWri...
Design agent memory architectures for cross-session persistence. Use for building learning systems, maintaining entity consistency, and temporal knowledge tracking. Based on muratcankoylan/Agent-Skills-for-Cont...
Self-improvement and learning skill that helps Claude learn from user interactions, corrections, and preferences
Fast pre-filter to remove articles already processed. Uses Redis for O(1) URL lookup to avoid wasting LLM calls on previously seen content.
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.