Pixel-perfect implementation of Figma designs. When Claude needs to translate Figma designs into code with precise attention to autolayout, variables, and styles.

Generate Android Jetpack Compose UI from Figma using Figma Desktop MCP (get_metadata, get_variable_defs, create_design_system_rules, get_design_context, get_screenshot). Automatically detect icon/vector nodes in Figma, obtain SVG/path data when available, and convert icons to Android VectorDrawable XML using Android MCP Toolkit (convert-svg-to-android-drawable). Use when the user shares a Figma link/node-id and asks to implement UI in Compose from Figma.

Convert Figma designs into Flutter code through an automated workflow that extracts design metadata, generates reference code, exports assets, implements the UI, and iteratively tests until the implem

Generates React code for a full page based on pasted Figma 'Inspect' details. Uses the page scaffolder.

Create FilamentPHP v4 forms with fields, validation, sections, tabs, and relationships

Session-based file cleanup for privacy compliance. Use to delete temporary files, uploaded clinical notes, generated outputs, and expired logs to maintain HIPAA-friendly operations.

How to use the file-factory CLI to create new React components, hooks, context providers, Next.js pages along with associated tests and storybook stories. ALWAYS use this tool instead of manually creating new components/hooks/contexts/pages to ensure consistent file structure and conventions.

Analyze files and get detailed metadata including size, line counts, modification times, and content statistics. Use when users request file information, statistics, or analysis without modifying files.

File Organization Standards Skill

[PROJECT] file and directory structure conventions and enforcement

file-oss-management

Search for files and content in a codebase. Use when investigating a codebase, finding patterns, or locating specific files. Not for reading file content or simple directory listing.

This skill should be used when managing the file-based todo tracking system in the todos/ directory. It provides workflows for creating todos, managing status and dependencies, conducting triage, and integrating with slash commands and code review processes.

Implement secure file uploads with validation, size limits, type checking, virus scanning, and UUID naming. Use when handling file uploads like profile photos, documents, or resources.

Manage filesystem context for offloading large context to files, persisting state between sessions, and reducing token usage. Use when managing cross-session state or context persistence. Not for small temporary data or in-memory variables.

Filter and search event datasets (logs) using OPAL. Use when you need to find specific log events by text search, regex patterns, or field values. Covers contains(), tilda operator ~, field comparisons, boolean logic, and limit for sampling results. Does NOT cover aggregation (see aggregating-event-datasets skill).

Generate comprehensive session summary for Leavn work - commits, metrics, achievements, remaining work, ship readiness

Final Approach - the landing sequence. Runs Go Poll with review agents (mission-control, telemetry, flight-director) using Haiku model. Supports A+ skip rule for efficient re-reviews.

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Final validation before task completion. Verifies all skills were consulted, documentation updated, tests pass. HAS VETO POWER - blocks incomplete tasks.

Start dev server, generate QA checklist, guide manual verification. Use before creating PR.

Once we are confident our recent changes have captured the essence of the change we want to commit, finalize the commit.

Completes feature/epic workflows after deployment with comprehensive walkthrough generation for epics (v5.0+), roadmap updates, artifact archival, documentation, and branch cleanup. Use after /ship-prod, /deploy-prod, or /build-local completes, or when user asks to finalize. (project)

World-class SaaS financial expert specializing in subscription accounting, revenue recognition (ASC 606), MRR/ARR tracking, cash flow management, unit economics, and financial planning for indie founders and SaaS companies.

Analyze financial data, build models, evaluate investments, and provide data-driven financial recommendations

financial-close

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Build comprehensive 3-5 year financial models projecting revenue, expenses, headcount, cash flow, and runway. Model unit economics, scenario planning, and path to profitability. Generate investor-ready HTML reports with detailed projections and charts.

Generate comprehensive financial reports including P&L, balance sheets, and cash flow statements

Generate income statements, balance sheets, and cash flow statements with GAAP presentation and period-over-period comparison.

Find bugs, security vulnerabilities, and code quality issues in local branch changes. Use when asked to review changes, find bugs, security review, or audit code on the current branch.

Locate development tasks and TODO comments across the codebase

Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem.

LLM fine-tuning with LoRA, QLoRA, and instruction tuning for domain adaptation.

Use when generating synthetic training data for multi-turn conversation fine-tuning. Triggers - have design artifacts ready, need to generate conversations, ready to assess quality. Requires finetune-design first.

Use when training a fine-tuned model and evaluating improvement over base model. Triggers - have filtered training data, ready to submit training job, need to convert to GGUF. Requires finetune-generate first.

finetuning

Identifies binary file characteristics including compiler signatures, version information, and build environment details. Use when analyzing unknown binaries, investigating binary origins, or identifying build configurations.

Prepare a GitHub issue branch for PR with quality checks, cleanup, and review recommendations.

Complete the current task. Behavior depends on detected mode (MAIN, FEATURE_BRANCH, WORKTREE).

Complete feature development with structured options for merge, PR, or cleanup

Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup

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Auto-generated CLI patterns using Google Fire with class-based structure, docstring parsing, and nested classes. Use when building Python CLI applications, creating Fire CLIs, implementing auto-generated commands, designing class-based CLIs, or when user mentions Fire, Google Fire, CLI generation, docstring commands, nested command groups, or Python command-line tools.

Scans Android APKs for Firebase security misconfigurations including open databases, storage buckets, authentication issues, and exposed cloud functions. Use when analyzing APK files for Firebase vulnerabilities, performing mobile app security audits, or testing Firebase endpoint security. For authorized security research only.

This skill system guides Firebase development using proven patterns from production projects. It routes to specialized sub-skills based on detected intent.

Create production-ready Firebase Cloud Functions with TypeScript, Express integration, HTTP endpoints, background triggers, and scheduled functions. Use when building serverless APIs with Firebase or setting up Cloud Functions projects.

firebase-storage

Expert firmware analyst specializing in embedded systems, IoT

Reviews Rust firmware code for the BVR (Base Vectoring Rover) with focus on safety-critical systems, CAN bus protocol compliance, motor control logic, state machine correctness, and embedded testing patterns. Use when reviewing BVR firmware changes, debugging actuator control, testing motor communication, validating safety mechanisms, checking async patterns, or evaluating control system modifications. Covers watchdog implementation, e-stop handling, rate limiting, VESC motor controller integration, and Tokio async runtime patterns.