Skills directory · page 27

Pick the right finance skill: ratios, DCF, forecasts (financial-analyst), ARR, churn, CAC, LTV (saas-metrics-coach), month-end-close. Use whenever a finance ask is vague.

Analyze financial statements, value a company with a DCF, explain budget variance, build rolling forecasts. Use whenever the user asks what a business is worth or why spend missed budget.

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.

Helps agents discover, evaluate, and recommend installable agent skills when a task may be better handled by a specialized skill. Use when users ask how to do a specialized task, whether a skill exists, or how to extend agent capabilities.

Help a knowledge worker find where their attention earns the fattest margin when combined with AI. Maps their skill stack against AI capabilities to identify high-surplus opportunities vs. commodity traps. Use when someone asks where to focus their AI efforts, how to avoid the allocation economy race-to-zero, or how to build a defensible position as an individual operator.

Guide the user through a quadrant walk that maps the unknowns of a task — open by listing the known knowns, then work through known unknowns, unknown knowns, and unknown unknowns one stage at a time, ending with a complete four-quadrant map in the user's hands. Use when the user explicitly asks for a blindspot pass, unknown unknowns, "what am I missing / what should I be asking", a one-question-at-a-time interview, or several directions to react to; when ambiguity or unfamiliarity is high enough that building now would likely cause rework; when a reference implementation must be understood before porting; or for a named after-walk slice — implementation notes / deviations log, a buy-in doc, a quiz gate before merge, or a session handoff (run only that slice). Do not invoke for ordinary implementation of a sufficiently specified task.

Expert guidance for fine-tuning LLMs with Axolotl - YAML configs, 100+ models, LoRA/QLoRA, DPO/KTO/ORPO/GRPO, multimodal support

Expert guidance for fine-tuning LLMs with LLaMA-Factory - WebUI no-code, 100+ models, 2/3/4/5/6/8-bit QLoRA, multimodal support

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.

Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization

Fine-tune models on Microsoft Foundry using SFT (supervised), DPO (preference), or RFT (reinforcement with graders). Covers dataset preparation, training job submission, deployment, and evaluation. USE FOR: fine-tune, SFT, DPO, RFT, training data, grader, distillation, fine-tuned model, training job, large file upload, calibrate grader, deploy fine-tuned model, evaluate fine-tuned model. DO NOT USE FOR: general model deployment without fine-tuning (use deploy-model), agent creation (use agents), prompt optimization without training (use prompt-optimizer).

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

Use when implementation is complete, all tests pass, and you need to decide how to integrate the work

Use when verified implementation is ready for an integration decision or authorized integration

Firebase gives you a complete backend in minutes - auth, database, storage, functions, hosting. But the ease of setup hides real complexity. Security rules are your last line of defense, and they're often wrong. Firestore queries are limited, and you learn this after you've designed your data model. This skill covers Firebase Authentication, Firestore, Realtime Database, Cloud Functions, Cloud Storage, and Firebase Hosting. Key insight: Firebase is optimized for read-heavy, denormalized data. I

Sets up and develops projects using Firebase products and services, especially for mobile or web apps. Covers Firebase CLI setup, project configuration, and integration with Firebase platform services.

Deep web scraping, screenshots, PDF parsing, and website crawling using Firecrawl API

Guide the user's first Paperclip task when its description invokes /first-task. Interpret the opening answer, clarify their goal, propose a plan or a single task, and wait for approval before hiring agents or executing approved work.

Use for the 5 Whys, or when the user wants the root cause of a failure: "why did this happen?", "this keeps breaking", "write the postmortem", "find the real cause". Asks why repeatedly with evidence at each step, then sets countermeasures. Skip for one-off typos or when the cause is already proven.

Diagnose and fix a failing or flaky Playwright test. Use whenever a test fails, passes only sometimes, breaks intermittently or needs fixing.

Diagnose and fix failed, stuck, slow, or incorrectly blocked Paperclip tasks and runs. Use with a task/run URL or failure report to trace the root cause, prove a regression red then green, check second-order effects, verify the real workflow, and deliver a PR with passing checks.

Diagnose and fix slow Paperclip PostgreSQL queries using Cloud and Neon evidence, local reproduction, performance and result comparisons, regression tests, and a PR with passing checks. Use for costly queries, repeated database work, or slow requests with a suspected database cause.

Parse FCS (Flow Cytometry Standard) files v2.0-3.1. Extract events as NumPy arrays, read metadata/channels, convert to CSV/DataFrame, for flow cytometry data preprocessing.

Create reproducible, cross-platform (macOS/Linux) development environments with Flox, a declarative Nix-based environment manager. Use when setting up project toolchains, installing system-level dependencies (compilers, databases, native libs), pinning exact package versions for a team, onboarding developers, running local services (PostgreSQL, Redis, Kafka), or solving 'works on my machine' problems — including agent/vibe-coding setups that need project-scoped tools without sudo. Also use when the user mentions .flox/, manifest.toml, flox activate, or FloxHub.

Floxで再現可能なクロスプラットフォーム開発環境を作成します — Nixに基づく宣言的な環境マネージャー。次の場合は必ずこのスキルを使用してください: システムレベルの依存関係（コンパイラー、データベース、openssl・libvips・BLAS・LAPACKなどのネイティブライブラリー）を持つプロジェクトを設定する場合; Python、Node.js、Rust、Go、C/C++、Java、Ruby、Elixir、PHP、その他の言語の再現可能なツールチェーンを設定する場合; macOSとLinux間で同一に動作する環境を管理する場合; チームのために正確なパッケージバージョンを固定する場合; ローカルサービス（PostgreSQL、Redis、Kafka）を開発ツールと並行して実行する場合; 単一コマンドで新しい開発者をオンボードする場合; または「自分のマシンでは動く」問題を解決する場合。AI支援やバイブコーディングに特に価値があります — Floxはエージェントがsudoなし、システム汚染なし、サンドボックス制限なしにプロジェクトスコープの環境にツールをインストールでき、結果の環境はリポジトリにコミットされるため、誰でも即座に再現できます。ユーザーがFloxに言及しない場合でも、再現可能、宣言的、クロスプラットフォームな開発環境とシステムパッケージが必要と説明した場合はこのスキルを使用してください。また、ユーザーが.flox/、manifest.toml、flox activate、またはFloxHubに言及した場合も使用してください。

Framework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows, or when analyzing turbulence, vortex dynamics, or geophysical flows. Provides pseudospectral methods with FFT, HPC support, and comprehensive output analysis.

Current (2026) Flutter app architecture from the Flutter team's official guide, Very Good Ventures and LeanCode - UI layer (View + ViewModel/Cubit/Notifier) and data layer (Repository + Service), feature folders, dependency injection, Result/Command patterns, networking and JSON models, go_router, monorepos with pub workspaces, day-one project setup, scaling teams, legacy refactoring. Use this whenever creating a new Flutter project or feature, deciding folder structure, adding a repository/API/service layer, choosing packages, reviewing Flutter code for maintainability, or scaling a Flutter team - even if the user only asks "where should this file go".

Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture. Use when reviewing Flutter or Dart code, whatever state management library the project uses.

Library-agnostic Flutter/Dart code review checklist covering Widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.

ウィジェットのベストプラクティス、状態管理パターン（BLoC、Riverpod、Provider、GetX、MobX、Signals）、Dartのイディオム、パフォーマンス、アクセシビリティ、セキュリティ、クリーンアーキテクチャをカバーするライブラリに依存しないFlutter/Dartのコードレビューチェックリスト。

Write modern, concise, idiomatic Dart 3.13 / Flutter 3.47 code - primary constructors, private named parameters, dot shorthands, null-aware elements, patterns and sealed classes, records, extension types, widget-class conventions, const, lints (very_good_analysis/flutter_lints), Effective Dart naming. Use this whenever writing or refactoring any Dart/Flutter code, generating widgets, models or classes, reviewing code style, or when code looks verbose, outdated (pre-Dart-3) or full of `!` and if/else chains - apply it by default to all Flutter code you write.

Master Flutter development with Dart 3, advanced widgets, and multi-platform deployment.

Flutter performance and app-size optimization (Flutter 3.47 official perf docs + LeanCode) - jank and dropped frames, excessive rebuilds, heavy build() work, isolates/compute, long lists (ListView.builder, GridView.builder, slivers, shrinkWrap), image memory (cacheWidth), Opacity/saveLayer/clipping, intrinsics, Impeller, RepaintBoundary, CustomPaint shouldRepaint, Flutter Web rebuilds, APK/IPA size analysis. Use this whenever the user reports laggy scrolling, stutter, freezes, high memory/OOM, slow startup, a big app binary, or asks to optimize or review a Flutter screen/list for performance.

Index of all Flutter/Dart skills in this repo and which one to load for a task - architecture, folder structure, state management, Dart style, testing, performance, migrations, local data, lints. Use this first when a Flutter task is broad or you are unsure which Flutter skill applies.

Choose and correctly use Flutter state management with current (2026) APIs - Riverpod 3 (Notifier/AsyncNotifier, mutations, Ref.mounted), BLoC/Cubit 9 (flutter_bloc), Flutter's official MVVM with ChangeNotifier + Commands, and built-ins (setState, ValueNotifier, ListenableBuilder); plus why to avoid GetX. Use this whenever the user writes or reviews a Cubit, Bloc, provider, Notifier, ViewModel or StatefulWidget, asks "BLoC or Riverpod?", handles loading/error states or one-off effects (snackbar, navigation), uses BuildContext after await, or hits rebuild/async bugs in Flutter, even if they don't say "state management".

Flutter testing strategy (Flutter team, Very Good Ventures, LeanCode/Patrol; verified 2026) - fakes vs mocks, unit tests with mocktail, widget tests, golden tests with Alchemist, E2E/UI tests with Patrol including native permission dialogs and notifications, device farms and sharding, Widget Previews, Widgetbook, debugging tools. Use this whenever the user writes, fixes, or plans Flutter tests, sees flaky goldens or CI test failures, needs to test permissions/notifications/native UI, picks between integration_test, Appium and Patrol, or asks how to make Flutter code testable.

Use when a whole feature or module is broken and needs fixing end to end ('make X work', 'the Y module is broken'). Maps every file and dependency of the area before changing anything. Single quick bug fixes do not need it.

Comprehensive technology-agnostic prompt for analyzing and documenting project folder structures. Auto-detects project types (.NET, Java, React, Angular, Python, Node.js, Flutter), generates detailed blueprints with visualization options, naming conventions, file placement patterns, and extension templates for maintaining consistent code organization across diverse technology stacks.

Get AI-powered match predictions for Premier League and Champions League including scores, next goal, and corners.

Evaluate demand-forecast quality honestly - WMAPE, bias and Forecast Value Added against a naive benchmark over a rolling-origin backtest. Use when the user mentions forecast accuracy, MAPE, demand planning performance, tahmin doğruluğu, talep tahmini, or asks whether a forecasting process or tool is worth it. Differentiator - judges the process (value added vs doing nothing), not just the model.

Use when a lead, contact, demo or checkout form is underperforming or being designed, before changing fields. Scores field friction with form_field_analyzer.py. Signup forms: signup-flow-cro.

When the user wants to optimize any form that is NOT signup/registration — including lead capture forms, contact forms, demo request forms, application forms, survey forms, or checkout forms. Also use when the user mentions "form optimization," "lead form conversions," "form friction," "form fields," "form completion rate," or "contact form." For signup/registration forms, see signup-flow-cro. For popups containing forms, see popup-cro.

Apple FoundationModels framework for on-device LLM — text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+. Use when adding on-device LLM features with Apple FoundationModels on iOS 26+.

Apple FoundationModels framework for on-device LLM — text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.

Use when a founder is the bottleneck, can't delegate, is burning out or is moving from IC to CEO. Covers delegation, energy and calendar audits, blind spots and succession.

Use for /c-level-agents:founder-mode, or any founder strategy question that hasn't been routed yet. Sends it to the right C-suite advisor or the boardroom.

Foundry IQ knowledge bases. WHEN: make local or Blob documents searchable; create/diagnose KBs; triage unsupported connectors or multi-source KB creation/reconfiguration (even with classic-search terms); connect existing KB to agents (including multi-source KBs); create/reuse a Search service; retrieve from an existing knowledge base with citations; no brand words needed. Read its procedure before query/target questions. NOT: other KB providers, repository-file search, classic Azure AI Search index/query/app work with no Foundry IQ KB or connector request, generic agent creation.

Preps a Fantasy Premier League team before a gameweek deadline, covering injury flags, transfers, captain, XI, bench and chips. Use for questions about an FPL team, transfers, captain or bench.

Baixa os encartes vigentes da Frangolandia (Fortaleza), todas as páginas de cada encarte publicadas na galeria do site, na resolução original. Use quando o usuário mencionar "baixar encartes Frangolandia", "encartes Frangolandia", "encarte da Frangolandia", ou colar URLs de frangolandia.com/encartes ou frangolandia.com/encarte/.

When the user wants to plan, evaluate, or build a free tool for marketing purposes — lead generation, SEO value, or brand awareness. Also use when the user mentions "engineering as marketing," "free tool," "marketing tool," "calculator," "generator," "interactive tool," "lead gen tool," "build a tool for leads," or "free resource." This skill bridges engineering and marketing — useful for founders and technical marketers.