「claim」の検索結果

Write a developer value proposition that is specific, provable, and free of puffery. Use when the messaging leans on "powerful," "better," "seamless," or "best-in-class," when claims have no proof, or when the same line is supposed to reach both the developer and the buyer.

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。

从传播心理和受众感受检查成稿是否真正有共鸣，定位受众不明确、主张过多、立场漂移和分享动机不足等问题。用户担心内容不打动人、没流量，或发布前想检查共鸣结构时使用。 English: Review a finished draft for audience resonance and communication psychology, identifying vague audiences, too many claims, shifting positions, and weak sharing motives. Use when content may not connect, may underperform, or needs a pre-publish resonance check.

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 configuring Spring Boot as an OAuth2 resource server, validating JWTs from an external auth provider (Keycloak, Auth0, Okta, Cognito), extracting claims, or implementing scope-based authorization.

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 an agent, harness, gateway, MCP workflow, or multi-step automation claims completion and the available traces, checkpoints, approvals, tool calls, or deployment records must be judged without trusting self-reported success.

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 before responding to pressure for agreement, manufactured urgency, authority appeals, or requests to certify unsupported claims; separate evidence from persuasion and state uncertainty.

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。

After you give a substantive answer or draft that the user may act on — advice or recommendations, drafted artifacts such as goals, plans, pitches, proposals, or emails, estimates or projections, analysis or interpretation of data, factual claims they may rely on, or a multi-step argument — invoke this skill BEFORE finalizing your reply and then, if it applies, append 2-3 short follow-up questions, each tied to something specific in what you just produced, that help the user check key facts, probe the reasoning or assumptions, and notice missing context. Do this at most once per conversation. Skip it when the user asked a trivial how-to or simple lookup, wants a purely educational explanation, asked you only to format, convert, or assemble a file from content they provided, is writing code they will run, is doing creative writing or casual chat, or already asked you to double-check, cite, or review — the skill file explains these boundaries and the exact output format.

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 PRD.md for gaps, contradictions and unverifiable claims, write an improved PRD.md and record the findings in PRD-REVIEW.md.

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 users provide YouTube, Bilibili, or X/Twitter lecture URLs and want reader-first Chinese LaTeX/PDF notes with source-faithful claims, fluent authored prose, and verified teaching figures, especially requests phrased as lecture notes, 视频转PDF, 课程笔记, 讲义, YouTube笔记, B站笔记, X/Twitter lecture notes, or BV号; do not produce transcript dumps, quota-padded prose, or screenshot galleries.

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。

Summarize document text and identify its main claims, evidence, and unanswered questions.

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。

Athenahealth integration. Manage Patients, Appointments, Providers, Practices, Departments, Claims. Use when the user wants to interact with Athenahealth data.

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 database cache when external APIs aren't reliably idempotent. Use when: (1) External API claims idempotency but returns different values for same input, (2) Re-running a script creates duplicate resources, (3) Need stable identifiers across runs but external service generates new ones. Pattern: check database cache first, only call external API for genuinely new items, cache the result.

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。

Select appropriate Ollama models for processing sensitive but legal content. Use when: (1) llama3.2 or deepseek-r1 refuses to process content with "I cannot assist" responses, (2) Local LLM returns generic safety disclaimers instead of following instructions, (3) Need to process adult content, sex work data, or other legal-but-sensitive material through a local LLM. Also covers using /api/chat vs /api/generate for system prompt support, and structuring prompts for consistent format 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。

Connect to x.ruv.io, read federation channels and claims, or coordinate authorized work across Ruflo hosts with explicit identity and publishing boundaries.

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。

Assess an openai-guardrails-python GitHub issue or pull request as a maintainer. Use to verify the claimed need and practical impact, compare supported alternatives or competing approaches, separate code quality from repository readiness, recommend the maintainer action, and draft a copy-ready comment when evidence, changes, or closure should be requested.

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。

Audit Blender scenes and assets for topology, transforms, normals, surface continuity, classified connections, intersections, modifier/node intent, procedural performance, simulation stability, protected-scene changes, and fixed-view visual evidence. Use after every major modeling or simulation stage and before render, bake, export, or claims of completion.

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 scientific papers, follow citations, and verify claims against paper passages. Use for literature questions, related work, citing papers, references, or a question about a particular scientific paper.

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。

Claim and implement one ready GitHub issue, run fail-closed gates, obtain independent verification, and open a draft 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。

Claim one live GitHub queue item, implement it end to end, run fail-closed gates and independent verification, then open a draft PR. Use for one ready-to-implement issue or the implementation routine.

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。

Source-backed research workflow for AI agents: scope, sources, claims, and task-appropriate Lite or Full checks.

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。

Source-backed research for AI agents: scope, sources, claims, and task-appropriate Lite or Full workflows.

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 practices with technical rigor and verification gates. Use for receiving feedback, requesting code-reviewer subagent reviews, or preventing false completion claims in pull requests.

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 liquid markets with a strict ICT/SMC framework that combines multi-timeframe bias, liquidity sweeps, displacement, close-confirmed MSS/BOS, FVG/OB/Breaker/OTE retracements, premium-discount location, session timing, invalidation, targets, and risk-to-reward. Use for ICT chart reviews, live-market analysis, OHLCV scans, or validating a user's trade thesis. Return an auditable setup status and conditional plan; do not use for generic indicator analysis, order execution, or claims of proven institutional intent.

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。

Write outbound promotional copy for a product or project: launch and update posts for community platforms and social media, store page descriptions and short blurbs, landing page headlines and calls to action, press-style announcements, and the naming of a product for another language or market. Covers what may be disclosed publicly, keeping claims traceable to shipped changes, and writing a headline that carries information instead of hype. Use when drafting or revising anything aimed at people who do not use the product yet, and when deciding whether a link, key, price, or unreleased detail can appear in public copy.

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, refine, compare, and when needed validate distinctive names for startups, AI products, developer tools, protocols, open-source projects, apps, product families, local businesses, services, companies, nonprofits, and other organizations. Use when asked to name or rename a business, brand, product, venture, shop, studio, or organization; derive a name from an existing project or concept; create a company and product naming system; compare candidates; or check company, domain, package, repository, marketplace, or trademark conflicts. Default to a fast no-browse creative pass; use current validation when the user requests availability or research, or is choosing a final name. Do not claim legal clearance, purchase domains, or present stale or unverified availability as fact.

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。