Discover Data & AI skills, compare source repositories and read the instructions for each workflow.
Expert in Claude Agent SDK development. Use when users ask about SDK API, agent configuration, MCP servers, hooks, permissions, file checkpointing, or when they mention @AGENT_SDK_DOCS.md. Provides accurate API...
Convert DOC/DOCX/PDF/PPT/PPTX documents to Markdown format. Automatically detect PDF type (electronic/scanned), extract images to separate directory. Use this Skill when administrator onboards non-Markdown docu...
Send IM messages to users in batch. Used for notifying specific user groups, sending after table filtering, all-staff notifications, etc. Use this Skill when administrators request batch notifications, mass mes...
Handle user satisfaction feedback. When users respond with "satisfied"/"unsatisfied", update FAQ usage count or record BADCASE. Trigger words: satisfied/unsatisfied/resolved/not resolved/thanks/满意/不满意/解决...
Domain expert routing. When the knowledge base cannot answer user questions, find and notify the corresponding expert based on the question domain. Only available in IM mode. Trigger condition: No results in 6-...
Smart Excel/CSV file parsing with intelligent routing based on file complexity analysis. Analyzes file structure (merged cells, row count, table layout) using lightweight metadata scanning, then recommends opti...
Generate table of contents overview for large files. When onboarded Markdown file exceeds threshold (default 30KB), extract heading structure to create navigation file. Trigger condition: Markdown file size >=...
Generate and edit images using the Gemini API (Nano Banana Pro). Use this skill when creating images from text prompts, editing existing images, applying style transfers, generating logos with text, creating st...
This skill should be used when the user asks to "review code", "find dead code", "check for duplication", "simplify the codebase", "find refactoring opportunities", "do code cleanup", "check naming consistency"...
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples: websites, land...
Configures ESLint, Prettier, Ruff, and .NET analyzers
CREATE/REPLAN Stories for Epic (5-10 Stories). Delegates ln-001-standards-researcher for standards research. Decompose-First Pattern. Auto-discovers team/Epic.
Worker that checks DRY/KISS/YAGNI/architecture/guide compliance for Done implementation tasks. Reports issues; does not change statuses or create tasks.
Coverage Gaps audit worker (L3). Identifies missing tests for critical paths (Money 20+, Security 20+, Data Integrity 15+, Core Flows 15+). Returns list of untested critical business logic with priority justifi...
Configures Husky, lint-staged, commitlint, and Python pre-commit
Reviews completed tasks (To Review) and moves them to Done or To Rework. Zero tolerance: all issues fixed now.
Upgrades .NET NuGet packages with breaking change handling
Replans Stories when Epic requirements change. Compares IDEAL vs existing, categorizes operations (KEEP/UPDATE/OBSOLETE/CREATE), executes in Linear.
Coordinates linters, pre-commit hooks, and test infrastructure setup
Orchestrates full decomposition (scope → Epics → Stories) by delegating ln-210 → ln-220. Sequential Story decomposition per Epic. Epic 0 for Infrastructure.
Scans codebase for hardcoded secrets. Returns normalized findings with severity and remediation guidance. Pre-commit hook integration.
Builds and launches Docker containers with health verification using best practices
Architecture audit worker (L3). Checks DRY (7 types), KISS/YAGNI, layer breaks, error handling, DI patterns. Returns findings with severity, location, effort, recommendations.
Orchestrates test planning pipeline (research → manual → auto tests). Coordinates ln-511, ln-512, ln-513. Invoked by ln-500-story-quality-gate.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.