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Found 5,519 Skills
Work with Keychron's source-available CAD hardware design files (STEP/DXF/PDF) for keyboards and mice, including scripting, inventory management, and 3D printing workflows.
Architecture reviews across 7 dimensions: structural integrity, scalability, enterprise readiness (SOC2/HIPAA/GDPR/PCI-DSS), performance, security, operational excellence, and data architecture. Produces scored reports with prioritized recommendations. Three modes: (1) Codebase review — evidence-based analysis of source code, configs, IaC; (2) Document review — risk-based analysis of design docs, RFCs, specs; (3) Hybrid — drift detection between intent and implementation. Triggers on: "review architecture", "critique design", "audit system", "evaluate codebase", "find design flaws", "assess scalability", "check security", "enterprise readiness", "architecture assessment", "technical due diligence", or when user provides a system design document or codebase and asks for feedback or improvements. For architecture diagrams, visuals, or topology drawings, use architecture-diagram instead.
Enter copilot mode — human drives, Claude assists. Relaxes worktree enforcement, allows main commits.
Spec-driven development pipeline with 6 phases: Explore, Requirements, Design, Task Plan, Implementation, Review. Enforces human approval gates between phases. Use when user wants structured feature development, spec-first approach, or says "I want to add feature X", "new feature", "implement", "build". Keywords: spec, requirements, design document, TDD plan, task plan, implementation, code review, pipeline, approval gates, WHEN/SHALL.
Complete toolkit for Huawei Ascend NPU model conversion and end-to-end inference adaptation. Workflow 1 auto-discovers input shapes and parameters from user source code. Workflow 2 exports PyTorch models to ONNX. Workflow 3 converts ONNX to .om via ATC with multi-CANN version support. Workflow 4 adapts the user's full inference pipeline (preprocessing + model + postprocessing) to run end-to-end on NPU. Workflow 5 verifies precision between ONNX and OM outputs. Workflow 6 generates a reproducible README. Supports any standard PyTorch/ONNX model. Use when converting, testing, or deploying models on Ascend AI processors.
Canonical pointer to Armani Ferrante’s X (Twitter) post at status id 1411589629384355840 for primary-source citation in Solana/Anchor/Coral-adjacent discussions. Use when the user cites this exact URL or needs a stable bookmark alongside sealevel-attacks-solana—not as a substitute for opening the post for verbatim text, thread context, or current Anchor documentation.
iOS Test-Driven Development standards. Enforces Red-Green-Refactor cycle, test pyramid (70/20/10), layer-specific testing strategies with XCTest and Swift Testing, and CI integration. Use when building or reviewing iOS apps with TDD methodology.
Write, scaffold, explain, and debug plugins for the Pelican gaming panel. Use this skill whenever the user mentions Pelican plugins, extending Pelican, FilamentPHP resources or pages for Pelican, plugin service providers, custom permissions, plugin settings, routes, models, widgets, or asks how to add new functionality to the Pelican panel.
Enforce code readability and state minimisation before opening or updating a pull request. Use when code is functionally complete and needs a final simplification pass focused on skimmability: reducing arguments, removing optionality and overrides, collapsing unnecessary abstractions, preferring discriminated unions, adding assertions at boundaries, handling variants exhaustively, deleting incidental changes, and making the diff shorter, clearer, and easier to review.
Générez des prompts optimisés pour chaque modèle de génération vidéo IA (Veo 3, Runway Gen-3, Kling 2.6, Pika), en exploitant leurs forces spécifiques. Use when: **Animer des frames de storyboard** - Transformer des images fixes en vidéo; **Choisir le bon modèle** - Sélectionner Veo, Runway, Kling ou Pika selon le besoin; **Optimiser la qualité de génération** - Prompts structurés pour meilleurs résultats; **Créer des transitions fluides** - Scene extension, first/last frame; **Utiliser le mo...
Activate this when users need to understand extreme events (bubbles, crashes, mass hysteria, cults, mob behavior), diagnose systemic organizational failures, or assess the risk of multiple psychological/market/institutional forces aligning in the same direction. Typical trigger signals: the phenomenon described by the user "far exceeds what any single factor can explain"; the user attempts to explain an extreme outcome with a single cause; the user is concerned about "multiple adverse factors erupting simultaneously". Not applicable to conventional single-factor decision analysis or assessment of mild incremental changes.
Phase 2 of the feature workflow — Write code according to the implementation sequence in {slug}-design.md, and submit a completion report in a unified format for user review after finishing. Prerequisites: {slug}-design.md has been approved (standard design includes test design, or fastforward design includes acceptance criteria), and {slug}-checklist.yaml exists in the same directory. Trigger scenarios: User says "The plan is confirmed, start implementation", "Write code according to the plan", "Start working". If you encounter situations not covered by the plan during implementation (new concepts, out-of-scope files, need for patch branches), proactively stop and discuss with the user based on the plan, do not proceed forcefully.