Zero-onboarding, read-only dry-run of the reviewer fleet against the current uncommitted diff. Predicts reviewers, runs the state-free secret scan, writes nothing.
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。
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概要と使いどころ
Zero-onboarding, read-only dry-run of the reviewer fleet against the current uncommitted diff. Predicts reviewers, runs the state-free secret scan, writes nothing.
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。
Design well-structured agent loops with best-practice coaching and cross-model review gates before you run them. Use when the user wants to design, build, or set up an agent loop, iterative agent workflow, self-review loop, LLM-as-judge loop, multi-model council, reviewer/judge gate, or goal-driven looping process. Guides goal refinement, typed verification criteria, reviewer/judge selection, privacy boundaries, termination guards, and observability, then emits a RUN_IN_SESSION.md handoff prompt plus portable loop.yaml, loop.resolved.json, LOOP.md, and run-loop.py.
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。
Shared review framework that every domain reviewer (pci, oracle, gov, edtech, healthcare, mlops, etc.) MUST follow. Defines the output artifact (TM-{slug}.md), mandatory sections, severity scale, verdict format, the workflow scaffold (when-invoked, Step-0 read-inputs, HANDOFF), and the "domain heuristic vs generic check" boundary. Eliminates duplication across the ~30 reviewer prompts.
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。
Search TikTok e-commerce livestream leaderboards via Kalodata and query detailed data for specific livestreams. Supports viewing high-ranking, high-sales TikTok shopping livestreams by region, currency, language, and date range, and using livestreamId to retrieve revenue, viewers, duration, GPM, and number of products sold. Trigger when users mention TikTok livestream ranking, TikTok live ranking, TikTok top livestreams, TikTok live shopping ranking, TikTok livestream detail, TikTok live data, live viewers, kalodata livestream search, kalodata livestream ranking, TikTok livestream ranking, TikTok live ranking, TikTok top livestreams, TikTok live shopping ranking, TikTok livestream detail, kalodata livestream search/detail, live analytics. Even if the user does not explicitly mention "kalodata", trigger this skill whenever their need involves viewing TikTok livestream leaderboards or detailed data for a specific TikTok livestream.
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。
Independent review loop run before delivery in code work. An independent reviewer (Codex, or fresh Codex-style subagents) reads the whole PR against the approved outcome; the lead fixes in-scope functional findings and re-reviews until none remain. Its differentiator is independence and exhaustiveness — a reviewer that fails differently from the authors, run to clean — distinct from the recursive-refinement ladder. Invoked by the team lead from the unified pre-ship gate (code-mode and /swarm:refine) after the ship steps.
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。
Code review knowledge base: quality, security (OWASP Top 10), error-handling, performance, and test-coverage checklists with severity-ranked output format. Use when reviewing code changes, PRs, or before commits. Loaded automatically by the code-reviewer agent.
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。
Turn Markdown outlines, notes, docs, or plans into an interactive mind map — a single self-contained HTML file that opens offline anywhere (markmap.js, white-on-dark, zoom/expand/export toolbar, search that keeps matches in context). Use whenever the user asks for a mind map, markmap, or concept map, wants to visualize or diagram the structure of a document or topic, summarize notes as a navigable tree, make an outline clickable or explorable, or embed such a map in Streamlit — even when they don't literally say 'mind map'.
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。
Create a custom file viewer for the Datagrok file share browser
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。
Orchestrate a broad Incan review using specialized reviewer roles, parallel slice reports, and a canonical merged review report. Use when the user asks for delegated review, multi-agent review, or when a broad dirty worktree should be reviewed by specialized passes rather than one generic reviewer.
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。
Handle PR review feedback - understand reviewer comments, research their concerns, and help the user address them. The LLM explains what reviewers want and why; the user decides how to respond and writes the code. Use when you receive review comments on a submitted PR. Not for opening the PR in the first place, which is oss-submit-pr. If the feedback is a failing CI job, use oss-debug-ci.
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。
Cross-disciplinary polar Earth-system manuscript review orchestrator for Arctic, Antarctic and Southern Ocean research. Routes claims to existing domain reviewer skills and applies polar-specific evidence gates for sparse observations, cryosphere variables, product dependence, conservation budgets, coupled attribution, paleoclimate archives and regional research responsibility.
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。
App Store / Google Play 用のプロモーションスクリーンショットを Pencil (.pen) で生成する Agent Team スキル。creative-director が戦略を立て、screenshot-designer が Pencil で デザインを構築し、copy-writer がコピーを提供し、spec-validator が技術仕様を数値検証し、 quality-reviewer が最終品質を確認する。5エージェント体制で高品質なスクリーンショットを生成。 Use when: App Store スクリーンショットを作りたい、プロモーション画像を作成したい、 スクショのデザインをしたい。 Triggers: "スクリーンショット作成", "App Store 画像", "プロモーションスクショ", "screenshot creator", "スクショ作って", "App Store 素材"
Chrome で表示中の Web 画面を Pencil (.pen) ファイルに高精度で再現する Agent Team スキル。 3つの専門エージェント(screen-analyzer, design-builder, quality-reviewer)が 分析→構築→品質検証のサイクルを回し、忠実な画面再現を実現する。 Use when: Pencil で再現して、画面を Pencil に写して、Chrome を Pencil にコピー、 pencil-replicate、デザインをキャプチャ、UI を Pencil に
App Store プレビュー動画を Remotion (React) で生成する Agent Team スキル。 video-director が構成を設計し、script-writer がナレーション台本を作成し、 motion-designer が Remotion コードを実装し、preview-reviewer がコードレビューし、 frame-inspector がレンダリング結果を目視検証する。 Use when: App Store プレビュー動画を作りたい、アプリのプロモーション動画を作りたい、 Remotion で動画を生成したい。 Triggers: "プレビュー動画", "App Store 動画", "アプリ動画", "preview movie", "Remotion", "動画作成", "app preview"
Guide a person through a Coordinate Remote Viewing (CRV) session following the Stargate/SRI protocol. AI acts as the monitor/tasker role, managing protocol progression, catching Analytical Overlay (AOL), and redirecting the viewer through stages I-VI. Use when a person wants to practice CRV and needs a monitor to manage the session protocol, when training a viewer through the staged CRV process, facilitating a structured intuitive perception exercise, or developing non-local awareness skills that complement healing work.
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 Codex Optimized Development, Evaluation, and Remediation (CODER) Loop with an orchestration-only coordinator, non-overlapping task-family owners, fresh independent reviewers, evidence-scoped remediation, and final coordinator acceptance. Discover and compose optional MSW, Timebox, MSL, and Codex Voice Optimizer companions as the Slopware Dev Stack without making them dependencies. Use in Codex when the user invokes the CODER Loop, asks to divide a complex change into bounded implementation families with independent reviewers, requests multi-agent implementation without overlapping ownership, requires review and repair until every blocking gap is independently rechecked, asks for the CODER tutorial or Slopware Dev Stack, or wants CODER to install or use its companions. Do not trigger for an ordinary single-agent change, a review-only request, or a non-Codex host.
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。
Build AI performance review assistance systems. TRIGGERS - Use when user needs help with ai-performance-reviewer related tasks.
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 legacy prompts or older framework flows reference `security-reviewer` and you need the modern runtime to resolve that capability cleanly.
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 legacy prompts or older framework flows reference `code-reviewer` and you need the modern runtime to resolve that capability cleanly.
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 planning, drafting, revising, compressing, or auditing conference rebuttals and author responses in OpenReview Markdown or PDF. Supports exact reviewer mapping, evidence and experiment integration, guided risk decisions, venue-format validation, and blind reviewer/AC audits.
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 and resolve PR review comments on the current branch's PR in this Flutter repository, from both AI reviewers (CodeRabbit, CodiumAI, CodePilot, Copilot, etc.) and human reviewers. Fetches comments via `gh`, splits them into AI and human groups, verifies each comment against the actual Flutter code, triages them, proposes fixes, and optionally applies fixes, replies to comments, and pushes. Use when the user asks to review PR comments, resolve PR feedback, review AI comments, review human review comments, or handle code review 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。
Deep code review - Elixir idioms, Phoenix patterns, architecture, safety. Launches 3 parallel reviewers + plan-reviewer gate. Use when: review, review this, code review, check this code, review my changes, is this good, what do you think, code smells.
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 a task needs the judgment of an eligibility interviewer for government benefit programs — calculating household income against a means-tested program's limits, determining household composition for benefit purposes, judging whether submitted verification documents are sufficient, or distinguishing a documentation gap from a fraud indicator.
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。
Analyzes code diffs and files to identify bugs, security vulnerabilities (SQL injection, XSS, insecure deserialization), code smells, N+1 queries, naming issues, and architectural concerns, then produces a structured review report with prioritized, actionable feedback. Use when reviewing pull requests, conducting code quality audits, identifying refactoring opportunities, or checking for security issues. Invoke for PR reviews, code quality checks, refactoring suggestions, review code, code quality. Complements specialized skills (security-reviewer, test-master) by providing broad-scope review across correctness, performance, maintainability, and test coverage in a single pass.
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。