Skill UI

LiteParse is a fast, open-source, and local document parser designed for layout-aware text extraction from PDFs, images, and office files. It outputs structured JSON with bounding boxes and metadata, making it ideal for building advanced RAG systems, citation grounding, and complex data pipelines without needing cloud APIs. Features include OCR, batch processing, and page screenshot capture.

The official skill collection for Longbridge Securities, offering over 125 agent skills. It provides comprehensive financial analysis across multiple markets (HK, US, A-share, SG), including real-time quotes, advanced charting, company fundamentals, portfolio management, and options analysis. Supports trilingual interaction (Simplified/Traditional Chinese/English), making it an essential resource for global investors and financial analysts.

This orchestrator converts complex Markdown content—such as long-form specs, code reviews, or slide decks—into a single-file, lightly-interactive HTML document. It deterministically classifies the input type (Document, Review, or Slides) and routes the content to the appropriate specialized converter sub-skill, ensuring the output retains density and structure far beyond what raw markdown can achieve.

Generates an exhaustive, executable 12-month marketing plan structured by the AARRR framework (Acquisition, Activation, Retention, Referral, Revenue). Acting as a fractional CMO, this tool tailors strategies to the client's specific budget, team capabilities, and business stage. It creates a single, actionable roadmap, complete with current-state audits and strategic recommendations, ideal for investor updates or internal team alignment.

A specialized skill for achieving asymptotic performance gains when classical algorithms are already near optimal. It leverages advanced mathematical techniques and probabilistic data structures (e.g., Bloom Filters, HyperLogLog, FFT, MinHash/LSH) to handle massive datasets (n ≥ 10⁶) by accepting bounded approximations or exploiting deep structural properties. Requires strict adherence to error parameter and complexity justification protocols.

The meta-apply skill serves as the critical, privileged gate for applying self-modification patches to the skill corpus. It enforces a strict separation between patch proposal (staging) and patch execution (landing). The process requires explicit human invocation and mandates a fresh, cross-model jury verification run *at the moment of landing* to ensure integrity and prevent the application of unauthorized or potentially flawed changes.

This skill analyzes how artificial intelligence (AI) is disrupting an industry or specific business unit. It assesses competitive exposure across 10 critical vectors (e.g., labor substitution, data moat, customer interface) and generates a detailed 90-day defensive counterstrike plan. Ideal for due diligence, strategic planning, and anticipating market shifts in AI-driven ecosystems.

Nextflow is a powerful workflow language and runtime for building reproducible, portable, and scalable data pipelines. It is dominant in bioinformatics, enabling complex dataflow programming and managing workflows across diverse environments, including local machines, HPC clusters (SLURM), and cloud platforms (AWS, Azure). This skill covers the full lifecycle: running established pipelines (like nf-core), developing custom modular workflows, configuring containerization, and ensuring computational reproducibility.

A comprehensive guide for optimizing SEO indexing and managing crawl budget specifically for Next.js applications. Covers fixing Google Search Console coverage errors, implementing proper canonical tags, auditing sitemaps, managing static rendering, and optimizing internal linking for maximum search visibility.

Summarizes an exported list of open pull requests into a blockers-first digest, highlighting blocked PRs, ready-to-merge items, and a concise standup summary for review triage.

This skill provides a rigorous, operational framework for product and user research. It helps researchers select the appropriate study method (generative, evaluative, validation) based on goals and product stages. It also calculates defensible sample sizes and saturation levels, and synthesizes raw observations into governed, evidence-based insights, ensuring all findings are rooted in cross-participant recurrence.

An expert skill for systematically finding, qualifying, and building highly targeted prospect lists. It supports diverse motions including B2B SaaS, general B2B companies, local small businesses, and early-stage demand-signal discovery. The process guides users through defining the Ideal Customer Profile (ICP), sourcing candidates, rigorously qualifying them, and prioritizing the best targets for outreach.