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Found 1,643 Skills
Interactive initialization script that acts as a Plugin Architect. Generates a compliant '.claude-plugin' directory structure and `plugin.json` manifest using diagnostic questioning to ensure proper L4 patterns and Tool Connector schemas.
OpenTelemetry Transformation Language (OTTL) expert. Use when writing or debugging OTTL expressions for any OpenTelemetry Collector component that supports OTTL (processors, connectors, receivers, exporters). Triggers on tasks involving telemetry transformation, filtering, attribute manipulation, data redaction, sampling policies, routing, or Collector configuration. Covers syntax, contexts, functions, error handling, and performance.
This skill should be used when the user asks to "implement dependency injection in Python", "use the dependency-injector library", "decouple Python components", "write testable Python services", or needs guidance on Inversion of Control, DI containers, provider types, and wiring in Python applications.
This skill should be used when the user asks to "connect to Turso", "use libSQL", "set up a Turso database", "query Turso with TypeScript", or needs guidance on Turso Cloud, embedded replicas, or vector search with libSQL.
Use when cognee is a Python AI memory engine that transforms documents into knowledge graphs with vector and graph storage for semantic search and reasoning. Use this skill when writing code that calls cognee's Python API (add, cognify, search, memify, config, datasets, prune, session) or integrating cognee-mcp. Covers the full public API, SearchType modes, DataPoint custom models, pipeline tasks, and configuration for LLM/embedding/vector/graph providers. Do NOT use for general knowledge graph theory or unrelated Python libraries.
Recovery strategy when the Write tool fails to create a new file. Use this skill whenever a Write or Edit tool call fails with an error related to creating a new file — such as missing parent directories, permission issues, or "file not found" errors on files that don't exist yet. This skill does NOT apply to editing existing files that fail for other reasons. Trigger when you see Write/Edit errors on new file creation, when file creation fails unexpectedly, or when you get path-related errors trying to create files in nested directories.
Adds a data source or connector to a Power Apps code app. Asks what the user wants to accomplish and routes to the appropriate specialized skill.
Debugging toolkit for AI agents. Diagnose symptoms via memory cache -> behavior cache -> codebase search, trace data flow, git-bisect bad commits, and compare output directories.
Use when working with AliCloud Milvus (serverless) with PyMilvus to create collections, insert vectors, and run filtered similarity search. Optimized for Claude Code/Codex vector retrieval flows.
Apply when designing, or implementing a Payment Connector in VTEX IO. Covers PPF implementation in VTEX IO, use of secure proxy, manifest and other PPP routes exposure and clients definitions. Use for any implementation of a Payment Connector hosted in VTEX IO.
Use this skill when drawing vector shapes and paths in PixiJS v8. Covers the Graphics API: shape-then-fill methods (rect/circle/ellipse/poly/roundRect/star/regularPoly/roundPoly/roundShape/filletRect/chamferRect), path methods (moveTo/lineTo/bezierCurveTo/quadraticCurveTo/arc/arcTo/arcToSvg/closePath), fill/stroke/cut, holes, FillGradient (linear/radial), FillPattern, GraphicsContext sharing, svg import/export, containsPoint hit testing, cloning, clearing, bounds, fillStyle/strokeStyle, draw-time transforms (rotateTransform/scaleTransform/translateTransform/setTransform/save/restore), default styles, GraphicsPath reuse. Triggers on: Graphics, GraphicsContext, rect, circle, poly, roundRect, fill, stroke, cut, hole, beginHole, FillGradient, FillPattern, moveTo, bezierCurveTo, svg, graphicsContextToSvg, svg export, GraphicsOptions, containsPoint, clone, clear, bounds, rotateTransform, translateTransform, setFillStyle, setStrokeStyle, GraphicsPath.
Designs production-grade RAG pipelines with chunking optimization, retrieval evaluation, and pipeline architecture. Use when building a RAG system, selecting a chunking strategy, choosing a vector database, optimizing retrieval quality, designing embedding pipelines, or evaluating RAG performance with RAGAS metrics.