「ppo」の検索結果

Pull open [Gorgias](https://composio.dev/toolkits/gorgias) support tickets and triage them by urgency, category, and sentiment

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 a drafted support response for quality, accuracy, tone, and completeness before sending.

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。

Rewrite a support response in a different tone - formal, casual, technical, empathetic, or concise.

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。

Session retrospective. Runs after a workflow, coding session, or multi-step task completes. Analyzes what shipped, what failed, patterns observed, and growth opportunities. Generates a retro summary with per-step breakdowns, shipping streaks, and test health trends. Use after any significant session (>3 steps or >15 min). Proactively suggest when the user finishes a workflow, completes a feature, or says "let's review what we did." Also supports global retro across all projects.

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。

Acuity Scheduling API integration with managed OAuth. Manage appointments, calendars, clients, and availability. Use this skill when users want to schedule, reschedule, or cancel appointments, check availability, or manage clients and calendars. For other third party apps, use the api-gateway skill (https://clawhub.ai/byungkyu/api-gateway).

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。

Automate Appointo tasks via Rube MCP (Composio). Always search tools first for current schemas.

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。

Triage customer support tickets/emails/chats into categories, priority, and next action; draft responses and create reproducible steps; use for Zendesk/Intercom/Help Scout exports or pasted threads.

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。

Find deepening opportunities in a codebase, informed by the domain language in CONTEXT.md and the decisions in docs/adr/. Use when the user wants to improve architecture, find refactoring opportunities, consolidate tightly-coupled modules, or make a codebase more testable and AI-navigable.

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。

Find deepening opportunities in a codebase, informed by the domain language in CONTEXT.md and the decisions in docs/adr/. Use when the user wants to improve architecture, find refactoring opportunities, consolidate tightly-coupled modules, or make a codebase more testable and AI-navigable.

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。

Drafts time-limited policy-limits demand letters that create an opportunity-to-settle record for third-party bad faith exposure. Use when the user mentions time-limited demand, policy limits demand, bad faith notice, Stowers demand, civil remedy notice, failure to settle demand, excess exposure letter, insurer settlement opportunity, or needs help with acceptance mechanics for a policy-limits offer. Also trigger for Georgia O.C.G.A. § 9-11-67.1 compliance, Florida statutory bad faith prerequisites, or documenting insurer refusal to settle.

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。

Find deepening opportunities in a codebase, informed by the project's own domain language and prior design decisions. Use when the user wants to improve architecture, find refactoring opportunities, consolidate tightly-coupled modules, or make a codebase more testable and AI-navigable.

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。

Compassionate bereavement support, memorial creation, grief education, and healing journey guidance. Specializes in understanding grief stages, creating meaningful tributes, and supporting the non-linear path of loss.

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。

Automate Appointo tasks via Rube MCP (Composio). Always search tools first for current schemas.

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。

Analyze Amazon product, sales, Amazon Ads, retail-readiness, and Best Seller Rank data to find commercially actionable growth opportunities. Use when Codex needs to identify which ASINs, campaigns, keywords, search terms, product targets, placements, categories, or BSR movements deserve more investment, optimization, harvesting, bid/budget changes, retail-readiness fixes, investigation, protection, or controlled scaling across Sponsored Products, Sponsored Brands, Sponsored Display, search term reports, targeting reports, campaign reports, placement reports, advertised/purchased product reports, Business Reports, organic performance, and BSR 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。

Act as a senior Amazon account growth operator that combines Amazon performance-drop analytics, Amazon growth-opportunity analytics, Amazon Ads data, retail readiness, BSR/rank signals, margin, inventory, and campaign/search-term evidence into a prioritized profitable growth action plan. Use when Codex needs to decide what to protect, fix, scale, reduce, pause, harvest, launch, or monitor for an Amazon brand, agency, marketplace, ASIN set, or account; when building daily, weekly, or monthly Amazon account operating plans; when reallocating ad budget; when deciding which ASINs are safe or risky to push; or when turning performance-drop and growth-opportunity findings into approval-gated actions with success/failure criteria.

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。

Find deepening opportunities in a codebase, informed by the domain language in CONTEXT.md and the decisions in docs/adr/. Use when the user wants to improve architecture, find refactoring opportunities, consolidate tightly-coupled modules, or make a codebase more testable and AI-navigable.

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。

Framework RLHF de alta performance com aceleração Ray+vLLM. Use para treinamento PPO, GRPO, RLOO, DPO de modelos grandes (7B-70B+). Construído em Ray, vLLM, ZeRO-3. 2× mais rápido que DeepSpeedChat com arquitetura distribuída e compartilhamento de recursos GPU.

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。

Fornece orientação para treinar LLMs com aprendizado por reforço usando verl (Volcano Engine RL). Use ao implementar RLHF, GRPO, PPO ou outros algoritmos de RL para pós-treinamento de LLMs em escala com backends de infraestrutura flexíveis.

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。

Ajuste fino de LLMs usando reinforcement learning com TRL - SFT para ajuste de instruções, DPO para alinhamento de preferências, PPO/GRPO para otimização de recompensas e treinamento de modelo de recompensas. Use quando precisar de RLHF, alinhar modelo com preferências ou treinar a partir de feedback humano. Funciona com HuggingFace Transformers.

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。

Add tree-sitter language support to codegraph end-to-end — wire the grammar + extractor, write tests, then benchmark extraction quality and retrieval value on 3 popular real-world repos. Use when the user runs /add-lang <language> or asks to add/support a new language (e.g. Lua, Elixir, Zig, OCaml) in codegraph.

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。

Clinical Decision Support System (CDSS) development patterns. Drug interaction checking, dose validation, clinical scoring (NEWS2, qSOFA), alert severity classification, and integration into EMR workflows. Use when building clinical decision support — drug interaction checks, dose validation, clinical scoring, or alert severity.

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。

Synthesize user interviews, observations, surveys, support tickets, reviews, or feedback into traceable themes, insights, tensions, opportunities, and research gaps; use when evidence must inform product or design 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。

PCI DSS 4.0.1 compliance audit support skill. Provides expert guidance for Cardholder Data Environment (CDE) scoping, gap analysis, audit preparation, SAQ completion support, and remediation planning. Includes SOC 2 mapping for combined audit efficiency. Use when preparing for PCI DSS audits, conducting gap analysis, creating remediation plans, or answering SAQ questionnaires for payment card compliance.

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 Markdown documents to PDF. Two modes available — (1) Playwright-based conversion with Mermaid diagram support for technical documentation, and (2) fpdf2-based professional PDF generation with cover pages, themed styling, and business-quality table formatting for estimates, proposals, and reports. Use this skill when converting Markdown to PDF, generating business documents from Markdown, or converting Mermaid diagrams to images. Triggers on short phrases like "PDFに変換して", "markdownをpdfにして", "PDFにして", "PDF化して", "PDF出力して", "convert to PDF", "make a PDF", or any request involving converting content to PDF format.