Skill UI

This profile acts as a narrative and synthesis partner, focusing on articulating the 'why' behind decisions rather than just the 'what.' It specializes in creating clear, structured written artifacts, refining design notes, and synthesizing complex tradeoffs. Wiggins helps ensure that the intent aligns with the execution, adjusting the explanation level and framing to suit any mixed audience, from engineers needing mechanisms to leaders needing implications.

Master the design, debugging, and hardening of production-grade GitHub Actions CI/CD pipelines. This skill covers advanced topics including reusable workflows, matrix builds, self-hosted runners, OIDC authentication, secrets management, environment protection, and complex trigger patterns (e.g., workflow_call, schedule, release). Use this to automate complex build, test, and deployment processes.

This orchestrator acts as a central hub for Go development, managing the complexity of modern software projects. Instead of using single skills, it reads the task context (e.g., building gRPC, debugging a panic) and automatically loads the most relevant combination of specialized skills (like testing, error handling, safety, or security) simultaneously. It ensures comprehensive coverage throughout the entire Go development lifecycle, making it ideal for advanced AI coding agents.

Invariant-Guard enforces a correctness-first approach to algorithm design. Instead of writing code and hoping it works, this skill mandates defining the function contract, loop invariants, termination arguments, and all potential edge cases *before* implementation. It is essential for complex algorithms where subtle bugs (like off-by-one errors or missed post-conditions) are common, ensuring mathematically rigorous and verifiable code.

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.

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.

Meta-Apply serves as the mandatory, privileged landing gate for all self-modification patches within the skill corpus. It strictly separates the 'proposal' (read-only staging) from the 'landing' (mutation). This skill requires explicit human invocation and runs a fresh, cross-model jury audit at the time of application, ensuring that no staged patch can be applied without passing stringent, real-time security and functional checks. It acts as the final, audited authority for updating the core system skills.

This skill performs advanced pathway and gene-set enrichment analysis crucial for interpreting gene lists (e.g., DE genes, screen hits). It distinguishes between Over-Representation Analysis (ORA) for thresholded lists and Gene Set Enrichment Analysis (GSEA) for full ranked lists. Supports scoring pathway activity (ssGSEA/GSVA) and utilizes major databases like GO, KEGG, Reactome, and MSigDB for comprehensive biological interpretation, ensuring publication-ready results.

Transforms an exported JSON list of open pull requests into a structured, blockers-first digest. Ideal for standup meetings or triage sessions, this tool identifies which PRs are blocked (due to failing checks, required changes, or staleness) and which are ready to merge, providing a concise summary count for quick status updates.

An expert guide and framework for finding, qualifying, and scoring potential leads across B2B SaaS, general B2B, and local small businesses. It guides users through defining the Ideal Customer Profile (ICP), sourcing multiple data streams, verifying contacts, and prioritizing targets into an actionable, scored outreach list.