Review the working-tree changes (vs main) for correctness, concurrency, architecture, testing, and API/doc issues — following .github/CODE_REVIEW.md — and return a severity-graded report. Scales the machinery to the diff size: a single code-reviewer agent for a small change, or a fan-out-and-verify Workflow for a large/multi-unit one. Produces findings; it does not apply fixes (the caller does).
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。
adamayoung/TMDb☆ 1782026年10月4日 更新
Create a pull request
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。
adamayoung/TMDb☆ 1782026年10月4日 更新
Implement the current plan test-first, the Canon TDD way, driving to a single finishing condition — an empty test list. Derives a Canon TDD test list from the plan, shows it before any code, writes one failing test at a time, and keeps the list visible as it evolves. Use when the user asks to implement, build, or execute the current/approved plan.
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。
adamayoung/TMDb☆ 1782026年10月4日 更新
Format code with swiftlint and swiftformat
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。
adamayoung/TMDb☆ 1782026年10月4日 更新
Write and maintain high-quality Swift DocC documentation for the TMDb package, following its established `///` conventions. Use when adding or changing any public declaration (protocol, class, struct, enum, actor, model, property, initializer, method, typealias) and when keeping the DocC catalog in sync. This is the single source of truth for the project's documentation style — applied inline as you write, and followed by the `documentation-writer` agent for bulk sweeps.
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。
adamayoung/TMDb☆ 1782026年10月4日 更新
Diagnose a failing TMDb integration-test run — summarise the failure, rank the likely cause, and suggest a concrete fix
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。
adamayoung/TMDb☆ 1782026年10月4日 更新
Diagnose a failing CI workflow run (lint, markdown lint, build, or unit tests) — identify which job failed, the cause, and a concrete fix
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。
adamayoung/TMDb☆ 1782026年10月4日 更新
Take a plan all the way to a ready-to-merge pull request — review the plan (scaled to risk), implement it test-first, code-review and fix, run the CI gate, open the PR, and watch it green. Use after you have an approved plan (from plan mode, or the Plan agent); pass `issue <n>` to deliver a specific GitHub issue you name, or `next` to take the top startable issue off the project board's Ready column — either way it re-verifies, claims and plans the issue first. Invoking it with a plan already in hand is itself plan approval — it then runs autonomously to a single hard stop: ready-to-merge.
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。
adamayoung/TMDb☆ 1782026年10月4日 更新
Capture durable, project-specific learnings from the work just done into the knowledge/ base — gotchas, implementation quirks, things looked up or web-searched, live-API behaviours, and design decisions (as ADRs). Use before opening a PR (it runs automatically in /deliver), or any time you've learned something worth remembering. Records only non-obvious, reusable facts; skips anything already in the repo, CLAUDE.md, or git history.
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。
adamayoung/TMDb☆ 1782026年10月4日 更新
Implement features and fix bugs test-first, the Canon TDD way (test list → one test → make it pass → refactor → repeat). Use when implementing any new feature, endpoint, model, or method, fixing a bug, or executing a plan — write the test list and a failing test BEFORE production code.
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。
adamayoung/TMDb☆ 1782026年10月4日 更新
World-class game UI design expertise combining the clarity of Nintendo's UI philosophy, the immersive diegetic interfaces of Dead Space and Metroid Prime, and the competitive readability principles from esports titles. Game UI is the invisible bridge between player intent and game response. Great game UI serves the player without breaking immersion. It communicates critical information at a glance during intense action, guides new players without patronizing veterans, and adapts gracefully from 4K monitors to handheld screens and from keyboard to touch to controller. The best game UI designers understand that every pixel of screen space is sacred - borrowed from the game world itself. Use when "game ui, game interface, hud design, heads up display, game menu, inventory ui, health bar, stamina bar, game hud, minimap, crosshair, reticle, button prompt, controller ui, gamepad navigation, diegetic interface, in-world ui, quest tracker, damage numbers, cooldown indicator, radial menu, game tooltip, game-ui, hud, game-interface, game-menu, controller-ui, diegetic, game-design, accessibility, console, mobile-games" mentioned.
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。
omer-metin/skills-for-antigravity☆ 1652026年1月22日 更新
When things go wrong - and they will - how you communicate determines whether you lose customers for a day or lose trust forever. Crisis communications isn't about spin or damage control. It's about being human when your company is at its most vulnerable. This skill covers incident response communications, public apologies, data breach notifications, service outages, PR crises, and the aftermath. The goal isn't to look good - it's to be good, and communicate that clearly. Use when "crisis, incident, outage, down, breach, apology, we messed up, customers are angry, PR disaster, viral complaint, status page, postmortem, trust recovery, bad press, crisis, incident, communications, apology, trust, status-page, outage, breach, postmortem, recovery" mentioned.
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。
omer-metin/skills-for-antigravity☆ 1652026年1月22日 更新
The systematic discipline of reviewing AI-generated and human-written marketing content for quality, accuracy, consistency, and effectiveness. This isn't proofreading—it's strategic quality control that catches issues before they damage brand, waste spend, or miss opportunities. In an era where AI can generate content at scale, QA becomes the bottleneck— and the moat. Speed without quality is just fast failure. Every piece of content is a brand promise, and QA ensures that promise is kept. Content QA operates at multiple levels: tactical (spelling, grammar), strategic (message alignment), technical (platform compliance), and brand (voice, tone). The best QA catches what the creator couldn't see because they were too close. Use when "review content, QA, quality check, proofread, check copy, content review, brand compliance, verify content, fact check, review before publish, content approval, final review, qa, content-review, quality-assurance, brand-compliance, proofreading, content-quality, review" mentioned.
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。
omer-metin/skills-for-antigravity☆ 1652026年1月22日 更新
Implement safety interlocks and protective mechanisms to prevent equipment damage and ensure safe control system operation.
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。
agentscope-ai/PawBench☆ 1182026年8月3日 更新
Use when tools from the jupyter, duckdb, dbt, mlflow, huggingface or postgres MCP servers appear in your tool list, or before reaching for one — what each is good for, what it can damage, and the CLI fallback when it is not connected
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。
makifbaysal/tasktrooper☆ 1122026年10月12日 更新
Generates a structured initial contact summary memorandum from a potential client's first interaction with the firm. Captures case facts, liability indicators, damages, insurance details, and screening criteria. Use during client intake to support conflict checks, case evaluation, and engagement decisions.
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。
FDU-INS/Insurance-Skills☆ 762026年7月12日 更新
Complete insurance and legal claims intelligence system. Trigger whenever someone needs to file, manage, negotiate, or dispute any type of claim: insurance claims, warranty claims, compensation claims, workers compensation, personal injury, property damage, or consumer rights disputes. Also triggers on phrases like "file a claim", "my insurer denied me", "how do I get compensated", "they won't pay", "what am I entitled to", or any scenario where someone has suffered a loss and needs to recover it.
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。
FDU-INS/Insurance-Skills☆ 762026年7月12日 更新
Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.
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。
ComeOnOliver/skillshub☆ 652026年6月24日 更新
Assesses litigation outcome impact with settlement probability, damage range estimation, and stock price sensitivity analysis. Use when evaluating litigation catalysts, modeling legal outcomes, or analyzing litigation-driven opportunities.
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。
CaseMark/skills☆ 442026年9月9日 更新
Evaluate current trail conditions including weather, snow line, river crossings, exposure, and trail maintenance status for safety decision-making. Produces a GREEN/YELLOW/RED safety rating with actionable go/no-go recommendations. Use the day before or morning of a planned hike, during tour planning to assess seasonal viability, after unexpected weather changes on a multi-day tour, when reports suggest trail damage or closures, or before committing to an alpine or exposed route.
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。
pjt222/agent-almanac☆ 372026年10月12日 更新
Use when the user asks about infostealer families (LummaC2, RedLine, Vidar, Stealc, Raccoon, Rhadamanthys, etc.), log marketplaces (Russian Market, Genesis successors, BidenCash, Hudson Rock corpus), or stealer-driven incidents and credential exposure. Self-updating knowledge cell.
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。
Liberty91LTD/cti-skills☆ 272026年9月30日 更新
Recover deleted files from disk images and storage media using PhotoRec's file signature-based carving engine regardless of file system damage.
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。
galyarderlabs/galyarder-framework☆ 262026年10月11日 更新
Instrument and post-process PFC 5.0 asphalt damage studies using bond-break hits, clustered AE events, macro energy density, source fields, stage summaries, and auditable CSV outputs.
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。
Echo-aloha/asphalt-codex-skills-5☆ 262026年8月26日 更新
Audit data quality across six DAMA DMBOK dimensions — Completeness, Accuracy, Consistency, Timeliness, Validity, Uniqueness. Produces a scored data quality report with issue log and remediation plan. Use when profiling datasets, onboarding new data sources, or building data quality gates.
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。
hoavdc/CodexKit☆ 252026年10月11日 更新