Skill UI

Internal helper invoked by /add-native for adding native pen input to Power Apps mobile apps. Generates or verifies a TypeScript wrapper and shows React Native API calls for signature, ink, drawing, and handwriting capture with PNG data URI output.

Engine-neutral game audio practice: routing through buses, gains in dB, sidechain ducking, adaptive music by layering/segment switching, SFX variation, beat-synced events. Use when balancing sound, making music react to gameplay, or reducing repetitive effects. Works with Godot, Unity, FMOD/Wwise.

Converts books, documentation folders, and source collections (PDF, EPUB, DOCX, HTML, Markdown, RST, etc.) into structured agent skills. Extracts named frameworks, principles, techniques, and anti-patterns into a master SKILL.md plus chapter files, glossary, patterns, and a decision cheatsheet. Ideal for turning internal docs or standards into reusable knowledge bases or packaging compiled skills as plugins.

Captures operational lessons from legal matters in three modes: in-flight (risks, scope changes), mid-matter phase review, and close retrospective. Use on risk materialization, scope change, phase completion, or matter closing. Converts experiences into reusable inputs for future matters.

Adds one optional external Codex critique after the council workflow has produced a synthesis draft. Use for ambiguous, high-consequence decisions where a separate model should attempt to break the consensus. Requires explicit user consent before sending a compact review packet to OpenAI, labels cross-provider vs same-provider honestly, sandboxes the external call, and marks the review absent if the adapter is unavailable.

Captures a short user pitch, then drafts a product overview (PRD.md) and technical design (ARCHITECTURE.md) for a third-party .ppmplugin native control. Walks through every operation's iOS and Android implementation strategy with opinionated recommendations and iterates with the user until approval. The resulting docs serve as the source of truth for downstream code-generation skills.

Domain knowledge for producing step-by-step Chinese math tutorial videos. Covers problem decomposition, five-part lesson pacing, voiceover narration rules, KaTeX-style formula layout, subtitle timing, and Creator-native implementation using motion clips, audio scripts, and overlay captions.

Generates formal, structured EU AI Act compliance assessment reports for legal files, audit trails, and regulatory inquiries. Supports multiple report formats, adaptive intake of system details, consistency validation, and cross-checks against regulation (EU) 2024/1689. Suitable for documentation and governance use.

This internal skill generates type-safe wrappers for native camera access, image picking, barcode, and QR code scanning. It is essential for integrating custom evidence capture workflows (like dedicated capture screens) into Power Apps or Dataverse mobile applications, ensuring robust data handling for file and image columns.

This skill guides the preparation of a summary legal summons (assignation en référé) before a commercial court. It is specifically designed for recovering certain, liquid, and due commercial debts (such as unpaid invoices or service fees) when the debtor has failed to meet their payment obligations and there is no serious legal contestation. The process covers comprehensive information gathering, structured legal document drafting, adapting to specific case types, and checking strategic legal points.

This skill facilitates drafting, adapting, and reviewing legal contracts and clauses to embed carbon reduction and climate objectives. It follows The Chancery Lane Project's methodology, providing guidance on net-zero commitments, carbon accounting, supply chain decarbonization, and enforceable green financing terms. Ideal for legal professionals ensuring commercial agreements align with global climate goals.

A comprehensive companion tool for the foundational Deep Learning textbook. It indexes 20 chapters and provides a crucial delta layer, updating core concepts from 2016 to 2026 (e.g., Transformers, Diffusion Models). The tool features four deterministic utilities: a reading-path planner, a training-failure diagnostic, a capacity planner, and a parameter/FLOP calculator. Ideal for students and practitioners who need to study the theory, understand its modern relevance, and translate academic knowledge into actionable engineering decisions.