empathy-ledger-dev
Invoke this skill when: - Starting work on any Empathy Ledger feature - Need quick reference to project patterns
env-config
Environment configuration and secrets management skill using UV for Python projects. Handles .env files, environment variables, secrets encryption, multi-environment setups, and secure configuration patterns. Use when setting up project environments, managing API keys, or implementing configuration best practices.
env-handler
Manage environment variables securely. Handles distinction between .env (template) and .env.local (secrets).
env-manager
Environment variable management, validation, and documentation.
epistemic-checkpoint
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epub-chapter-extractor
Extract all chapters from an EPUB file into separate markdown files. Use when the user wants to split an EPUB into individual chapter files, extract EPUB chapters, or convert an ebook to separate markdown documents.
error-detective
Systematic debugging and error resolution using the TRACE framework (Trace, Read, Analyze, Check, Execute). Use when debugging errors, analyzing stack traces, investigating failures, root cause analysis, or troubleshooting production issues.
error-handling
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error-logger
Structured JSON logging with correlation IDs for multi-service systems. Use when implementing logging, debugging failures, or tracing errors across services. Triggers on: add logging, error handling, debug failures, trace errors.
error-memory
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error-recovery
Strategies for handling subagent failures with retry logic and escalation patterns.
error-tracking-integrator
Adds comprehensive error tracking with Sentry, Rollbar, or similar services including error boundaries, context, and breadcrumbs. Use when user requests error monitoring or mentions production debugging.
evaluation
Build evaluation frameworks for agent systems. Use when testing agent performance, validating context engineering choices, or measuring improvements over time.
event-driven-architecture
Generic Event-Driven Architecture patterns with Kafka, Dapr, and modern messaging systems. Provides reusable patterns for building scalable, resilient event-driven microservices. Framework-agnostic implementation supporting multiple message brokers, state stores, and event patterns. Follows 2025 best practices for distributed systems.
evidence-verification
Guides agents to collect test, build, lint, and deployment evidence before marking work complete.
example-skill
This skill should be used when demonstrating skill structure and format.
exa-research
Comprehensive research skill using Exa AI tools for web search and code context retrieval. Use when conducting research on technologies, finding code examples, discovering latest tools, or gathering comprehensive information on any topic. Combines web search for articles/news with code search for implementation examples.
executing-plans
Disciplined plan execution for implementation tasks. Use when executing a saved implementation plan, following step-by-step instructions from a plan document.
exercise-designer
Designs evidence-based Python practice exercises with varied formats, difficulty progression, spaced repetition, test cases, hints, and rubrics.
exploitation-knowledge
Comprehensive knowledge about vulnerability exploitation and initial access. Provides expertise on finding and adapting exploits, adapting proof-of-concepts, gaining shells, and capturing user flags. Covers reverse shells, file uploads, SQL injection, and RCE vulnerabilities.
exploration-creator
Create exploration content for SHINOBI WAY game with node-based path navigation. Use when user wants to add new regions, locations, room layouts, intel missions, path networks, or exploration mechanics. Guides through the Region→Location→Room hierarchy with intel-gated path choices. (project)
explore-codebase
Pattern for efficiently exploring codebases using parallel subagents. Use when you need to understand code structure, find patterns, or gather context.
explorer
Quickly search and navigate the codebase - Use when you need to quickly find files, search for patterns, or locate specific code without deep analysis.
exploring-ancient-ruins
古代遗迹 - Stella深入探索盖亚星球的古代文明遗迹,解开失落文明的秘密
expo-api-audit
Comprehensive audit of Expo/React Native app API integration layer. Use when asked to: (1) Review API interactions, auth handling, or token management, (2) Find hardcoded data or screens bypassing API, (3) Verify user interactions properly sync to backend, (4) Analyze offline behavior and caching, (5) Audit Orval/OpenAPI code generation, (6) Check for API security issues. Supports TanStack Query, Zustand, axios, Expo Router, expo-secure-store, and expo-constants patterns.
expo-build-deploy
Building and deploying Expo React Native apps to iOS. Use when configuring EAS Build, submitting to TestFlight, App Store deployment, managing certificates, or troubleshooting build issues.
extend-signal-schema
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extract-from-pdfs
This skill should be used when extracting structured data from scientific PDFs for systematic reviews, meta-analyses, or database creation. Use when working with collections of research papers that need to be converted into analyzable datasets with validation metrics.
extract-transcripts
Extract readable transcripts from Claude Code and Codex CLI session JSONL files
fastapi-app
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fastapi-development
Build async APIs with FastAPI, including endpoints, dependency injection, validation, and testing. Use when creating REST APIs, web backends, or microservices.
fastapi-mastery
Comprehensive FastAPI development skill covering REST API creation, routing, request/response handling, validation, authentication, database integration, middleware, and deployment. Use when working with FastAPI projects, building APIs, implementing CRUD operations, setting up authentication/authorization, integrating databases (SQL/NoSQL), adding middleware, handling WebSockets, or deploying FastAPI applications. Triggered by requests involving .py files with FastAPI code, API endpoint creation, Pydantic models, or FastAPI-specific features.
fda-consultant-specialist
Senior FDA consultant and specialist for medical device companies including HIPAA compliance and requirement management. Provides FDA pathway expertise, QSR compliance, cybersecurity guidance, and regulatory submission support. Use for FDA submission planning, QSR compliance assessments, HIPAA evaluations, and FDA regulatory strategy development.
feature-file
Manage features.yml for tracking requirements and progress; use proactively ONLY when features.yml already exists, or invoke manually to create one; complements TodoWrite for persistent project state.
fetching-library-docs
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ffind
Advanced file finder with type detection and filesystem extraction for analyzing firmware and extracting embedded filesystems. Use when you need to analyze firmware files, identify file types, or extract ext2/3/4 or F2FS filesystems.
fiduciary-duty-negligence
Clerk for Crown fiduciary breaches, fund mismanagement, conflicts of interest, and failure to protect reserve lands; use for Fiduciary_Duty_Negligence queue.
fiftyone-code-style
Write Python code following FiftyOne's official conventions. Use when contributing to FiftyOne, developing plugins, or writing code that integrates with FiftyOne's codebase.
fiftyone-dataset-import
Universal dataset import for FiftyOne supporting all media types (images, videos, point clouds, 3D scenes), all label formats (COCO, YOLO, VOC, CVAT, KITTI, etc.), and multimodal grouped datasets. Use when users want to import any dataset regardless of format, automatically detect folder structure, handle autonomous driving data with multiple cameras and LiDAR, or create grouped datasets from multimodal data. Requires FiftyOne MCP server.
fiftyone-dataset-inference
Create a FiftyOne dataset from a directory of media files (images, videos, point clouds), optionally import labels in common formats (COCO, YOLO, VOC), run model inference, and store predictions. Use when users want to load local files into FiftyOne, apply ML models for detection, classification, or segmentation, or build end-to-end inference pipelines.
fiftyone-develop-plugin
Develop custom FiftyOne plugins (operators and panels) from scratch. Use when user wants to create a new plugin, extend FiftyOne with custom operators, build interactive panels, or integrate external APIs into FiftyOne. Guides through requirements, design, coding, testing, and iteration.
fiftyone-embeddings-visualization
Visualize datasets in 2D using embeddings with UMAP or t-SNE dimensionality reduction. Use when users want to explore dataset structure, find clusters in images, identify outliers, color samples by class or metadata, or understand data distribution. Requires FiftyOne MCP server with @voxel51/brain plugin installed.
fiftyone-find-duplicates
Find duplicate or near-duplicate images in FiftyOne datasets using brain similarity computation. Use when users want to deduplicate datasets, find similar images, cluster visually similar content, or remove redundant samples. Requires FiftyOne MCP server with @voxel51/brain plugin installed.
fiftyone-pr-triage
Triage FiftyOne GitHub issues by validating status, categorizing resolution, and generating standardized responses. Use when reviewing issues to determine if fixed, won't fix, not reproducible, no longer relevant, or still valid.
figjam-plugin
FigJam plugin development workflow. Use when modifying code.ts (canvas rendering), ui.ts (WebSocket/UI), fixing plugin build errors, or adding new rendering features.
figma-to-tailwind
Figma MCPで取得したデザイン変数をTailwind CSS標準クラスに変換する。Figma MCPのコード生成後やデザイン実装時に自動起動。
file-boundaries
Pattern for respecting file ownership boundaries during implementation. Prevents conflicts in parallel work.
file-converter
This skill handles file format conversions across documents (PDF, DOCX,
file-organizer
Intelligently organizes your files and folders across your computer by
file-search
Modern file and content search using fd, ripgrep (rg), and fzf. Triggers on: fd, ripgrep, rg, find files, search code, fzf, fuzzy find, search codebase.
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