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Generate an actionable, dependency-ordered tasks.md for the feature based on available design artifacts.

日本語の概要は準備中です。原文の説明を表示しています。

Structured clarification workflow for underspecified requirements. Use before planning to resolve ambiguities through coverage-based questioning. Records answers in spec clarifications section.

日本語の概要は準備中です。原文の説明を表示しています。

Convert existing tasks into actionable, dependency-ordered GitHub issues for the feature based on available design artifacts.

日本語の概要は準備中です。原文の説明を表示しています。

Generate a custom checklist for the current feature based on user requirements.

日本語の概要は準備中です。原文の説明を表示しています。

Check upgrade safety for a Tamanu upgrade that spans many versions: verify that every intermediate hotfix is included in the target version, and surface the new configuration/settings, data migrations, and FHIR rematerialisation impact the upgrade brings. Use when the user wants to check an upgrade from one Tamanu version to another (e.g. "check hotfixes from v2.31 to v2.47"), confirm no intermediate hotfix was dropped, or understand what config, migrations, and FHIR rework a multi-version jump requires. Handles Tamanu's train-release model (release/X.YY branches vs vX.YY.Z patch tags) and the cherry-pick model where the same logical fix has different SHAs on different branches. Purely git-based — no live database or Canopy access needed. Not for cutting a release (see release-cutoff-checks) or deciding which tests to run (see scope-tamanu-release-tests).

日本語の概要は準備中です。原文の説明を表示しています。

Run the Tamanu release-branch CUTOFF checks when preparing to cut a new release/X.YY branch: confirm the previous release's hotfixes are merged to main, reconcile the commits since the previous release against the "Merged to main" card list from Linear, and scan for data/reporting/schema changes. Use when the user is cutting a Tamanu release and wants to verify the codebase is ready, wants to check main against the previous release branch, or wants to reconcile commits with a Linear "Merged to main" column (they should paste the card list). Handles Tamanu's train-release model (release/X.YY branches vs vX.YY.Z patch tags) and the cherry-pick model where the same logical fix has different SHAs on different branches. Purely git-based — no live database or Canopy access needed. Not for verifying an existing release branch's hotfix integrity (see pre-release-checks) or for deciding which tests to run (see scope-tamanu-release-tests).

日本語の概要は準備中です。原文の説明を表示しています。

Run Tamanu pre-release verification checks: verify that hotfixes on the current release branch are merged forward to main, and that hotfixes from prior release branches are included in the current release. Use when the user wants to run "pre-release checks", verify hotfix integrity before cutting or shipping a Tamanu release, confirm a release/X.YY branch is safe to release, or check that no hotfix has been orphaned (left on neither main nor the current release). Handles Tamanu's train-release model (release/X.YY branches vs vX.YY.Z patch tags) and the cherry-pick model where the same logical fix has different SHAs on different branches. Purely git-based — no live database or Canopy access needed. Not for deciding which tests to run (see scope-tamanu-release-tests).

日本語の概要は準備中です。原文の説明を表示しています。

Solana development patterns used in the Pump SDK — Anchor IDL-based program interaction, SPL Token and Token-2022 management, transaction construction with instruction composition, RPC batching, and cross-program coordination.

日本語の概要は準備中です。原文の説明を表示しています。

Volume-based PUMP token reward system with day-indexed epochs, pro-rata distribution, accumulator tracking, and cross-program claiming on Solana.

日本語の概要は準備中です。原文の説明を表示しています。

Complete Pump protocol fee system — tiered protocol fees based on market cap, creator fee collection across two programs, basis point arithmetic, and ceiling division for dust-safe calculations.

日本語の概要は準備中です。原文の説明を表示しています。

Configure and distribute creator fees to multiple shareholders using the PumpFees program with BPS-based share allocation, admin management, and cross-program fee consolidation for graduated tokens.

日本語の概要は準備中です。原文の説明を表示しています。

SolanaOS Hub — skill registry, gateway management, and control UI. Use when managing skills via ClawHub CLI, connecting to the SolanaOS gateway (TCP bridge on port 18790, WebSocket on port 18793), or working with the Lit-based control UI at ui/.

日本語の概要は準備中です。原文の説明を表示しています。

Use when working on Nuxt 4+ projects - provides server routes, file-based routing, middleware patterns, Nuxt-specific composables, and configuration with latest docs. Covers h3 v1 helpers (validation, WebSocket, SSE) and nitropack v2 patterns. Updated for Nuxt 4.3+.

日本語の概要は準備中です。原文の説明を表示しています。

Visual expression system for AI personas with emotion-based face switching. Use at session start to display the expression UI, and switch expressions whenever the emotional state changes during conversation.

日本語の概要は準備中です。原文の説明を表示しています。

Coach German writing and conversation with minimal corrections, persistent root-cause mistake tracking (FehlerDNA), mistake-based spaced repetition with a new sentence every time, roleplay whose words return in spaced reviews, continuing preparation for real-life goals across sessions, and an honest progress profile. Use for German correction, personalized review, vocabulary, progress, roleplay, or preparation for an interview, presentation, appointment, or other concrete event; do not use for translation-only requests without learning or feedback.

日本語の概要は準備中です。原文の説明を表示しています。

Review skills in any project using a dual-axis method: (1) deterministic code-based checks (structure, scripts, tests, execution safety) and (2) LLM deep review findings. Use when you need reproducible quality scoring for `skills/*/SKILL.md`, want to gate merges with a score threshold (for example 90+), or need concrete improvement items for low-scoring skills. Works across projects via --project-root.

日本語の概要は準備中です。原文の説明を表示しています。

Periodic inbox scan that categorizes new emails by project/client, identifies action-required items, and generates prioritized summary with FYI/requires-response/requires-action/blocked-waiting classifications. Use for inbox overview, project-based email grouping, or action item extraction.

日本語の概要は準備中です。原文の説明を表示しています。

Generic helpdesk first-response skill for creating KB-based response drafts. Use when handling support tickets, creating response templates, or building a structured helpdesk workflow. Supports error code detection, keyword matching, confidence scoring, multi-language templates, and escalation workflows. Customize by providing your own KB articles and configuration.

日本語の概要は準備中です。原文の説明を表示しています。

Bootstrap a new or existing project with a small, file-based documentation system so Claude Code keeps context, lessons, and decisions across session restarts instead of starting cold every time. Sets up a handful of markdown files under .claude/ (standing rules, a free-form note to your next session, a phased roadmap, a prioritized backlog, and searchable history/changelog archives) sized and split so the files read every session stay small while the archives grow without ever costing context. Use this whenever someone is starting a new project and asks how to structure it for long-running AI-assisted work, wants Claude to "remember" things between sessions without relying on chat history, asks for a CLAUDE.md + backlog + changelog setup, mentions "session continuity", "persistent context", "project memory system", or is retrofitting an existing codebase that has no such system yet. Also use to explain or extend an already-bootstrapped bottle system (add a rule, start the archival script, add a new backlog section).

日本語の概要は準備中です。原文の説明を表示しています。

Generate a runnable exploit-validation command (Nuclei template, Metasploit module hint, AI-assisted Python script, or curl-based PoC) against a user-specified authorised target. Use when validating that a fix actually closed the vulnerability path, confirming a patch deployed correctly, or producing a copy-pasteable test command for QA. The skill never executes — the user runs.

日本語の概要は準備中です。原文の説明を表示しています。

ego-browser (ego-lite) is a Chromium-based browser that gives AI agents a CLI-accessible Node.js runtime for driving a real browser. Use this skill whenever the user needs to interact with a website opening pages, filling forms, clicking buttons, taking screenshots, extracting page data, testing web apps, logging into sites, automating browser operations, or any other browser automation task. Triggers include requests to "open a website", "visit a URL", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "extract content from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also used for exploratory testing, dogfooding, QA, bug hunting, or reviewing app quality. Prefer ego-browser over any built-in browser automation, web fetch, or other web tools.

日本語の概要は準備中です。原文の説明を表示しています。

Refactor Swift code toward declarative functional programming with immutability, value types, pure functions, transformations, and closure-based APIs. Use when asked for functional refactoring or `/refactor:functional`.

日本語の概要は準備中です。原文の説明を表示しています。

Brutally honest AGENTS.md/CLAUDE.md review backed by real A/B test evidence. Not just opinions — actual proof that your rules are dead weight. Roasts instruction files for bloat, slop, and redundancy, then proves it by running evals. Use when user says "roast my agents.md", "roast my CLAUDE.md", "prove my rules are useless", "eval roast", or wants entertaining evidence-based feedback on their AI config files. Also triggers on "audit my instructions" or "are my rules helping".

日本語の概要は準備中です。原文の説明を表示しています。

Use when implementing a new function, adding a feature, fixing a bug, refactoring with test coverage, or writing a new test. Enforces strict outside-in red-green-refactor TDD with one-failure-per-turn discipline, predict-the-failure-before-every-run checks, hardcode-first minimum changes, triangulation, and property-based testing for large input spaces. Triggers on explicit TDD requests and on any task phrased as "implement", "add", "write a function", "build a feature", or "fix a bug" in a test-capable codebase. Reports red/green validation evidence.

日本語の概要は準備中です。原文の説明を表示しています。