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Found 44 Skills
Parallel and concurrent processing patterns in bash including GNU Parallel, xargs, job pools, and async patterns (2025)
Manuscript Verification and Export for Novels, suitable for user requests such as "Help me check my finished novel", "Export formats suitable for Qidian/Fanqie", "Check for typos", "Detect sensitive words", "Organize into publishable version", "Help me export novel publishing format", "Check novel typos", "Sensitive word detection", "Finished novel inspection", "Export adapted to Qidian format", "Fanqie Novel format export", "Novel typesetting organization", "Multi-platform format export", etc. It is responsible for full technical text verification (typos, punctuation, grammatical errors) and compliance checks, and exports publishing formats adapted to various platforms. **Sub-Agents are used for parallel verification during batch processing, with each Agent responsible for a maximum of 3 chapters**
Delegate tasks to parallel worktree agents using worktrunk (wt). Use when asked to "spawn agents", "run in parallel", "delegate to worktrees", or split work across multiple Claude/OpenCode sessions.
Word Flow: Conduct in-depth word analysis and generate infographic cards in one go. It accepts one or more English words, runs ljg-word (which generates in-depth semantic analysis) and then ljg-card -i (which generates infographic PNGs). Use this when the user says '词卡', 'word card', 'word flow', or provides English words and wants both analysis and visual cards.
Invoke parallel document-specialist agents for external web searches and documentation lookup
Paper Workflow: Read papers and create reading cards in one go. Accepts one or more arXiv links, paper URLs, PDFs, or paper titles. For each paper, it runs ljg-paper (generates org-format analysis) followed by ljg-card -l (generates long-form reading card PNG). Trigger this workflow when the user says '论文流', 'paper flow', '读论文并做卡片', '论文卡片', or provides multiple papers and requires both analysis and reading cards.
Expert in modern, cross-platform PowerShell Core. Specializes in Linux/macOS automation, parallel processing, REST API integration, and modern scripting patterns. Use for cross-platform automation and modern PowerShell features. Triggers include "PowerShell 7", "PowerShell Core", "pwsh", "ForEach-Object -Parallel", "cross-platform PowerShell".
Novel chapter content creation, suitable for user requests such as "Write a chapter of a novel for me", "Continue the following content", "Generate XX plot", "Batch write web novel chapters", "Expand/rewrite this content", "Write me an XX plot", "Continue the novel", "Expand this content", "Rewrite this chapter", "Batch generate novel chapters", "Write an opening chapter", "Write a climax plot", "Novel content generation", "Help me write novel content", etc. It supports multiple modes such as single-chapter/multi-chapter batch generation, continuation, rewriting, and expansion. It automatically adapts to the rhythm of web novels, maintains consistency of characters and plot, and **automatically uses sub-Agents for parallel processing during batch generation, with each Agent responsible for a maximum of 3 chapters**
Lead qualification engine with conversational intake. Asks structured questions to understand your qualification criteria, generates a reusable qualification prompt, then batch-enriches leads via Apify LinkedIn scraping and scores them with parallel processing. Outputs qualified/disqualified verdicts with confidence scores and reasoning to Google Sheets (via Rube) or CSV. Supports calibration mode for prompt refinement.
Master skill for parallel subagent-driven execution with automatic fallback to single-agent sequential mode. Use when implementing plans with multiple independent sub-phases (SP1, SP2...) to dispatch parallel subagents, or when requiring code review between implementation and testing.
Resolve PR review feedback by evaluating validity and fixing issues in parallel. Use when addressing PR review comments, resolving review threads, or fixing code review feedback.
Write node content documents. Read download.txt, integrate local materials for each node and write detailed, accurate, and complete Markdown documents. Each sub-agent processes one node in parallel, outputting a complete node document including overview, directory/mind map, flow chart, online image URL, and reference materials. Suitable for scenarios requiring systematic and structured content creation.