AI & ML

bastos Bundle

Creates a copy-ready prompt from a rough request, notes, source material, or the current conversation using OpenAI's prompting guidance. Use when the user invokes $write-a-prompt or /write-a-prompt, types a common misspelling such as /write-a-promopt or /wite-a-prompt, asks to "write a prompt for me," asks to turn the conversation into a prompt, or wants a prompt tailored for Chat, ChatGPT Work, or Codex. It writes the prompt without performing the underlying task.

bastos Bundle

Writes and revises clear, precise, accessible technical content for any medium. Use for manuals, wikis, README files, developer and user documentation, tutorials, references, specifications, RFCs, feature requests, issues, commit messages, code comments, review comments, pull request messages, release notes, runbooks, decision records, status updates, email, Slack, and other workplace or agent-facing communication.

bastos Bundle

Creates seeded blinded model-comparison packets and evaluates candidate outputs twice with reversed order to control identity and presentation bias. Use when two models or prompts produce different valid answers that require qualitative judging.

bastos Bundle

Audits and designs lean, coherent context across system prompts, persistent instructions, repository guidance, skills, tool descriptions, memory, and references. Use for context engineering; creating, reviewing, simplifying, or reorganizing agent context; resolving conflicting, duplicated, bloated, stale, or misplaced guidance; designing progressive disclosure; or deciding where shared information should live.

bastos Bundle

Preserves positive or negative ML experiment evidence, reconciles report discrepancies, records the canonical decision and limitations, and prepares a concise handoff. Use when stopping an experiment, rejecting a prompt/model, or freezing a result before the next iteration.

bastos Bundle

Builds and freezes deterministic train, validation, and test corpora with provenance, group-safe splits, manifests, hashes, and prompt-leakage checks. Use before teacher labeling, fine-tuning, or comparing models on generated or retrieved examples.

bastos Bundle

Audits an ML training experiment for reproducibility, evidence integrity, leakage, checkpoint identity, evaluation validity, and overclaimed conclusions. Use before accepting results, spending on a longer run, publishing artifacts, or handing work to another agent.

bastos Bundle

Validates JSON or tool-call model outputs without repair, separating parse, schema, supplied-identifier, semantic, replay, and safety failures. Use for first-attempt benchmarks, teacher-label pipelines, and bounded model tool selection.

bastos Bundle

Designs strict model benchmarks that persist per-case evidence, resume without repeating completed work, separate first-attempt behavior from remediation, and stop early only when failure is mathematically certain. Use for slow, costly, or interruptible evaluations.

bastos Bundle

Proves that evaluation ran at the intended cadence, the tracked metric selected the true best checkpoint, and held-out inference loaded that checkpoint. Use with Hugging Face Trainer or compatible training-state artifacts before trusting test metrics.

capawesome-team Skill

Guides the agent through Angular-specific patterns for Capacitor app development. Covers project structure, adding Capacitor to Angular projects, using Capacitor plugins in Angular services and components, NgZone integration for plugin event listeners, lifecycle hook patterns, dependency injection, routing with deep links, and environment-based platform detection. Do not use for creating a new Capacitor app from scratch, upgrading Capacitor versions, installing specific plugins, Ionic Framework setup, or non-Angular frameworks.

capawesome-team Bundle

Guides the agent through installing, configuring, and using Capacitor plugins from six sources — official Capacitor plugins, Capawesome plugins, Capacitor Community plugins, Capacitor Firebase plugins, Capacitor MLKit plugins, and RevenueCat plugins. Covers installation, platform-specific configuration (Android and iOS), and basic usage examples. Do not use for migrating Capacitor apps or plugins to a newer version, setting up Capacitor Live Updates, or non-Capacitor mobile frameworks.

capawesome-team Bundle

Guides the agent through adding, configuring, and using the Capawesome desktop platforms for Capacitor — @capawesome/capacitor-electron and @capawesome/capacitor-tauri. Covers choosing between Electron and Tauri, installation and scaffolding, sync/run workflows, live reload, deep links, plugin compatibility (Electron plugin implementations and web fallback; Tauri plugin tiers), packaging, and app updates. Do not use for the Android or iOS platforms, installing individual Capacitor plugins, migrating Capacitor apps or plugins to newer versions, or non-Capacitor desktop frameworks.

capawesome-team Bundle

Authors and structures professional-grade agent skills following the agentskills.io spec. Use when creating new skill directories, drafting procedural instructions, or optimizing metadata for discoverability. Don't use for general documentation, non-agentic library code, or README files.

capawesome-team Bundle

Guides the agent through upgrading a Capacitor app project to a newer major version. Supports upgrades from Capacitor 4 through 8, including multi-version jumps. Performs all upgrade steps manually — does not use the interactive `npx cap migrate` command. Do not use for plugin library upgrade or non-Capacitor mobile frameworks.

capawesome-team Bundle

Guides the agent through upgrading a Capacitor plugin to a newer major version. Supports upgrades from Capacitor 4 through 8, including multi-version jumps. Covers automated upgrade via official migration tools, Android SDK targets, Gradle configuration, Java/Kotlin versions, iOS deployment targets, and manual step-by-step fallback for each version. Do not use for app project upgrade or non-Capacitor plugin frameworks.

capawesome-team Bundle

Guides the agent through setting up in-app purchases in Capacitor apps. Covers App Store Connect and Google Play Console product configuration, plugin selection (Capawesome Purchases vs. RevenueCat), plugin installation and platform setup, purchase flows for subscriptions and consumables, receipt validation, restore purchases, handling unfinished transactions, and testing with sandbox and StoreKit environments. Do not use for non-Capacitor mobile frameworks, Stripe payment processing, or physical goods checkout.

capawesome-team Skill

Guides the agent through migrating an existing Capacitor app project from CocoaPods to Swift Package Manager (SPM) for iOS dependency management. Covers prerequisite checks, inventorying installed Capacitor plugins, backing up customized iOS project files (Info.plist, AppDelegate.swift, Assets.xcassets, Base.lproj, App.entitlements, GoogleService-Info.plist, .xcconfig files, signing configuration), deleting the existing `ios/` folder, re-scaffolding with `npx cap add ios --packagemanager SPM`, restoring preserved files, re-syncing plugins, and verifying the build. Performs all migration steps manually — does not use the interactive `npx cap spm-migration-assistant` command. Do not use for Capacitor plugin projects, app projects already on SPM, app projects without an existing `ios/` folder, or non-Capacitor mobile frameworks.

capawesome-team Bundle

Guides the agent through creating and maintaining Capacitor plugins from scratch. Covers scaffolding a new plugin project, designing the TypeScript API, implementing native iOS (Swift) and Android (Java/Kotlin) bridges, implementing the web layer, defining TypeScript type definitions, plugin configuration values, plugin hooks, development workflow with local testing, documentation generation, and publishing to npm. Do not use for installing existing plugins into an app, upgrading existing plugins to newer Capacitor versions, adding SPM support to plugins, or non-Capacitor plugin frameworks.

capawesome-team Skill

Guides the agent through adding Swift Package Manager (SPM) support to an existing Capacitor plugin. Covers creating a Package.swift manifest, replacing Objective-C bridge files with the CAPBridgedPlugin Swift protocol, updating .gitignore for SPM artifacts, cleaning up the Xcode project file, and updating package.json. Do not use for Capacitor app projects, creating new plugins from scratch, or non-Capacitor plugin frameworks.

fandhe-ai Skill

実装タスクの計画を `_/local-plans/<plan-name>.md` に作成する。「計画立てて」「設計して」「実装方針を考えて」「タスク分解して」で使用。 Explore Agent でコードベースを先に調査し、検証可能な粒度・並列実行可能な単位で記述する。 plan-verifier Agent で検証可能な標準フォーマット（背景・現状・設計・ファイル構成ツリー・実装ステップ・検証方法）に従う。 実装消化は implement-issue、Issue 化は create-issue-tree（未導入なら create-issue）を参照。

fandhe-ai Bundle

任意の対象リポジトリに Claude Code の .claude/ 体系（CLAUDE.md・Agents・Rules・Skills・hooks）を 初期セットアップする。「claude セットアップして」「.claude 作って」「CLAUDE.md 初期化」「Agent 整備して」 「claude-code セットアップ」などで使用。既存 .claude/ の差分充実は update-claude を使用。 implement-issue-tree が動く前提（gh auth / sub_issues / workflow js）の整備まで含む。

fandhe-ai Bundle

既存の .claude/ 体系（CLAUDE.md・Agents・Rules・Skills・hooks）を診断し、理想形との差分を提示して ユーザー承認後に追補・充実させる。「.claude 充実させて」「CLAUDE.md 充実させて」「Agent 整備して」 「claude 体系アップデート」「Rules 追加して」などで使用。新規セットアップは init-claude を使用。 npx skills add 不足分の補完・implement-issue-tree の前提確認・既存資産の破壊なし差分更新が特徴。

fandhe-ai Bundle

ローカルで改修した `skills/<skill-name>/` を upstream リポジトリ (Fandhe-AI/agent-cli-skills 等) へ PR として投稿する。`skills-lock.json` の `source` を読み、`Fandhe-AI/` 以外への push は安全弁で中止。clone → 反映 → セキュリティチェック → ブランチ作成 → push → `gh pr create` を実行。マージ後は sync-skills-lock で hash 更新。「スキルを upstream に貢献」「外部リポジトリに PR」などで使用。

fandhe-ai Skill

コード変更 (`git diff`) の品質・アーキテクチャ準拠・セキュリティ (OWASP Top 10) を Agent ツール委譲で読み取り専用レビューする。コミット前/PR 作成前のセルフレビュー、「変更をレビューして」「コードレビューして」などで使用。GitHub PR のレビューには implement-review-pr を使用。

fandhe-ai Bundle

新規サブエージェント定義を scaffold する。カテゴリ選定・ファイル作成・model/tools 最小権限設定・品質チェックまでを一貫して自動化。「Agent 作って」「サブエージェント追加」「create-agent」などで使用。

fandhe-ai Bundle

新規スキルを skills/<name>/SKILL.md として scaffold する。命名・配置の重複確認、SKILL.md 作成、 symlink 設定、品質チェック、CLAUDE.md 反映までを一貫して自動化。「スキル作って」「新しいスキルを追加」 「create-skill」などで使用。Agent 定義の追加は create-agent、ドキュメント更新は update-docs を参照。

fandhe-ai Bundle

Claude Code (code.claude.com) の CLI 本体リファレンス。 CLAUDE.md memory, settings.json, env-vars, model config, keybindings, statusline, terminal config, cli-reference (-p / --continue / --resume), sessions, checkpointing, worktrees, remote control, channels, deep links, troubleshooting。

fandhe-ai Bundle

Claude Code (code.claude.com) の拡張機能リファレンス。 Agent Skills (SKILL.md), slash commands, output styles, subagents, agent teams, agent view, workflows, routines, scheduled tasks, hooks (PreToolUse / PostToolUse), plugins, plugin marketplace, MCP 設定 (.mcp.json / claude mcp add), managed MCP, channels (--channels / claude/channel push events, webhook / telegram / discord / imessage), tools-reference, advisor, ultrareview。

flutter Bundle

Reviews the specified code against the canonical API Design guidelines. Use this skill when the user asks for an API review or to check code against API design principles.

flutter Skill

Contains well-defined rules for creating natural, accurate, and readable writing. Use whenever authoring longer text, like analysis documents, PR or CL descriptions, or documentation.

flutter Bundle

Guide for writing effective code documentation, including docstrings, JSDoc, dartdoc, and implementation comments. Use this skill when writing new code, adding features, or improving existing documentation in Dart, Python, or TypeScript to ensure clarity and maintainability.

flutter Skill

Safe, portable, and efficient command-line patterns for macOS/BSD Unix tools (grep, find, sed, awk, xargs, mdfind, pbcopy, open) and modern alternatives (ripgrep, fd). Covers common shell scripting and one-liner use cases including fast searching, text processing, codebase navigation, and parallel execution.

tabooharmony Bundle

Use when building geometry, maps, props, or generated assets with MCP or standalone Luau.

tabooharmony Bundle

Use when working with Roblox Studio through built-in MCP for scripts, scenes, generated assets, input, or playtesting.

equinor Bundle

Explain what Fusion MCP is and guide users through setting it up when they need Fusion-aware MCP capabilities in Copilot workflows.