Aoyang Fang
Community@lincyaw · China
Student in The Chinese University of Hong Kong, Shenzhen
Agent Skills by Aoyang Fang
Showing 46 vetted skills indexed across 5 GitHub repositories.
Lincyawpipeline-monitor
Monitor and diagnose Workbuddy agent pipeline failures, bottlenecks, and misconfigurations.
Lincyawweb-debug
Automate headless Chromium browser tests for web UI regressions.
Lincyawdeploy
Deploy, upgrade, and manage Workbuddy server configurations via systemd.
Lincyawsetup-repo
Creates GitHub labels, issue templates, agent definitions, workflows, and config files for workbuddy integration.
Lincyawmerge-flow
Automate batch merging of approved pull requests with conflict resolution and validation.
Lincyawshared-skill
Stores onboarding and plugin-specific information within Claude's context for reuse across sessions.
Lincyawexample-skill
Present sample skill metadata to illustrate structure and documentation practices.
Lincyawdev-loop
Automate the full development iteration cycle from implementation to measurement.
Lincyawlong-horizon
Enable autonomous agents to make reasoned decisions during long-duration projects.
Lincyawindex
Audit repository documentation against the current codebase to identify inconsistencies.
Lincyawverify
Run Black, isort, Flake8, and pytest checks on Python projects.
Lincyawplotting
Generate publication-quality matplotlib/seaborn figures with paperops.plotting presets.
Lincyawslidecraft
Generate native PowerPoint presentations from Python code using the paperops library.
Lincyawlanggraph-human-in-the-loop
Pauses and resumes LangGraph execution for user approval and validation.
Lincyawlangchain-dependencies
Guide dependency setup for LangChain, LangGraph, LangSmith, and Deep Agents across Python and TypeScript.
Lincyawlanggraph-persistence
Persist LangGraph state with checkpointers and manage conversation threads.
Lincyawlangchain-middleware
Implement middleware for LangChain agents with human approval and structured outputs.
Lincyawlanggraph-debugging
Debug and visualize LangGraph applications with graph diagrams and runtime tracing.
Lincyawlangchain-fundamentals
Create LangChain agents with custom tools and middleware.
Lincyawdeep-agents-orchestration
Delegate tasks to sub-agents and track multi-step plans with human approval workflows.
Lincyawdeep-agents-memory
Manage memory and filesystem access through pluggable storage backends.
Lincyawlangchain-rag
Orchestrate RAG pipelines with document loading, splitting, embedding, and retrieval.
Lincyawlanggraph-multi-agent
Build multi-agent systems with LangGraph using supervisor, swarm, and hierarchical patterns.
Lincyawlanggraph-trajectory
Record, export, and replay LangGraph execution trajectories with checkpoint history.