「nda」の検索結果

Quando o usuário quiser ajuda para criar, agendar ou otimizar conteúdo de mídia social para LinkedIn, Twitter/X, Instagram, TikTok, Facebook ou outras plataformas. Também use quando o usuário mencionar 'post no LinkedIn', 'thread no Twitter', 'mídia social', 'calendário de conteúdo', 'agendamento de redes sociais', 'engajamento' ou 'conteúdo viral'. Esta habilidade cobre criação de conteúdo, reutilização e estratégias específicas por plataforma.

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Marketing de produto, posicionamento, estratégia GTM e inteligência competitiva. Inclui definição de ICP, metodologia de posicionamento April Dunford, playbooks de lançamento, battlecards competitivas e guias de entrada em mercados internacionais. Use ao desenvolver posicionamento, planejar lançamentos de produtos, criar mensagens, analisar concorrentes, entrar em novos mercados, capacitar vendas ou quando o usuário menciona marketing de produto, posicionamento, GTM, go-to-market, análise competitiva, entrada em mercado ou capacitação de vendas.

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Fundamentos de SEO, E-E-A-T, Core Web Vitals e princípios do algoritmo do Google.

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Geração de demanda multi-canal, otimização de mídia paga, estratégia de SEO e programas de parcerias para startups Series A+. Inclui calculadora de CAC, playbooks de canal, integração com HubSpot e táticas de expansão internacional. Use ao planejar campanhas de geração de demanda, otimizar mídia paga, construir estratégias de SEO, estabelecer parcerias, ou quando o usuário menciona demand gen, anúncios pagos, LinkedIn ads, Google ads, CAC, aquisição, geração de leads ou pipeline.

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Banco de dados vetorial gerenciado para aplicações de IA em produção. Totalmente gerenciado, com auto-scaling, busca híbrida (vetores densos + esparsos), filtragem de metadados e namespaces. Latência baixa (<100ms p95). Use para RAG em produção, sistemas de recomendação ou busca semântica em escala. Ideal para infraestrutura serverless e gerenciada.

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Quando o usuário quer criar páginas de comparação com concorrentes ou alternativas para SEO e ativação de vendas. Use também quando o usuário menciona 'página de alternativas', 'página vs', 'comparação com concorrentes', 'página de comparação', '[Produto] vs [Produto]', '[Produto] alternativa', ou 'landing pages competitivas'. Cobre quatro formatos: alternativa singular, alternativas plurais, você vs concorrente, e concorrente vs concorrente. Enfatiza pesquisa profunda, arquitetura de conteúdo modular e tipos de seção variados além de tabelas de recursos.

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Híbrido RNN+Transformer com inferência O(n). Tempo linear, contexto infinito, sem cache KV. Treina como GPT (paralelo), infere como RNN (sequencial). Projeto Linux Foundation AI. Produção em Windows, Office, NeMo. RWKV-7 (março de 2025). Modelos até 14B parâmetros.

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Reduza o tamanho de LLMs e acelere a inferência usando técnicas de pruning como Wanda e SparseGPT. Use para comprimir modelos sem retreinamento, alcançando 50% de esparsidade com perda mínima de acurácia, ou ativando inferência mais rápida em aceleradores de hardware. Cobre pruning não estruturado, pruning estruturado, esparsidade N:M, pruning por magnitude e métodos one-shot.

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Load this skill whenever the project contains dynamic content updates, status messages, alerts, notifications, loading indicators, or any use of aria-live, role="status", role="alert", or role="log". Under no circumstances add or modify live-region markup without applying these rules. Prioritize correct politeness levels and avoid redundant announcements. Never use a fixed-delay clear-and-reinsert workaround — no standard guarantees it works.

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日程待办摘要：编排 calendar +agenda 和 task +get-my-tasks，生成指定日期的日程与未完成任务摘要。适用于了解今天/明天/本周的安排。

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Phase 4 Turn 1 of disease-market-sizing-orchestration. Generates report HTML with mandatory citation anchors per fact claim. Reads contract + staging + sources/. Every drug/treatment/stat/recommendation MUST carry [pmid:.../guideline:.../nct:...] anchor that resolves to an actual file in sources/. NEVER hardcode drug names or numerical claims. Use AFTER evidence recall (phase 3), BEFORE content-verification-layer (Turn 2).

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Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes — Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/spec asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to "review since X".

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Design, audit, harden, review, or upgrade MCP servers and MCP Apps with revision-aware protocol profiles, explicit HTTP/deployment boundaries, capability-centered validation, bilingual reporting, and reproducible evidence. Use for MCP server architecture, JSON-RPC or Streamable HTTP bugs, security hardening, protocol-version migration, MCP Apps widget boundaries, review reconciliation, test planning, and public engineering evidence.

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This skill should be used when the user asks to "understand context", "explain context windows", "design agent architecture", "debug context issues", "optimize context usage", or discusses context components, attention mechanics, progressive disclosure, or context budgeting. Provides foundational understanding of context engineering for AI agent systems.

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Check any AI agent codebase against the OWASP Agentic Security Initiative (ASI) Top 10 risks. Use this skill when: - Evaluating an agent system's security posture before production deployment - Running a compliance check against OWASP ASI 2026 standards - Mapping existing security controls to the 10 agentic risks - Generating a compliance report for security review or audit - Comparing agent framework security features against the standard - Any request like "is my agent OWASP compliant?", "check ASI compliance", or "agentic security audit"

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Validate Commodore MPS-801 serial dot matrix printer behavior in EMULATORS, including SerialPrinterMPS801 classes and their MatrixPrinterEmulation and SerialPrinterPeripheralSimulation hierarchy, IEC/KERNAL-trap printer routing, device numbers, secondary addresses, PETSCII/character sets, 6x7 glyphs, double width, graphics mode, reverse field, tab and dot positioning, line/page geometry, PostScript output, and fidelity boundaries. Use when Codex reviews or edits COMMODORE MPS801 printer code, generated printer output, PostScript printer templates, C64/VIC-20/C264 serial-printer behavior, or compares implementation against .codex/docs/MPS801.pdf and historical MPS-801 sources.

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Validate Commodore MPS-802 and 1526 serial dot matrix printer behavior in EMULATORS, including SerialPrinterMPS802 classes and their MatrixPrinterEmulation and SerialPrinterPeripheralSimulation hierarchy, IEC/KERNAL-trap printer routing, device numbers, secondary-address functions, PETSCII/character sets, 8x8 glyphs, enhanced width, reverse and paging modes, formatter strings, programmable characters, line/page geometry, PostScript output, and fidelity boundaries. Use when Codex reviews or edits COMMODORE MPS802 printer code, generated printer output, PostScript printer templates, C64/VIC-20/C264 serial-printer behavior, or compares implementation against .codex/docs/MPS802.pdf, the MPS-802 user guide, and 1526/MPS-802/4023 service information.

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Mathematical foundations, logical structures, and formal verification guidance. Trigger when: - Designing protocol contracts, formal specifications, verifying state spaces, or using proof assistants. - Tasks involve: TLA+, Alloy, Lean, Coq, model checkers, invariants, temporal logic. - Prompt contains keywords: formal verification, alloy, tla+, lean, coq, invariant, state machine, model checker, liveness, safety.

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Volatility-based decomposition review. Trigger when: - Evaluating module boundaries against axes of change and business volatility. - Prompt contains: /lowy, volatility, axis of change, design decomposition, boundary.

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SOP for the micro-execution C.O.R.E. phase. Trigger when: - Implementing plan steps, managing code changes at commit boundaries, and verifying incremental progress. - Navigating states: Absorb, Clarify, Plan, Execute. - Prompt contains: /core, core workflow, absorb, clarify, execution invariants, commit boundary, verify assertion.

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Observe the harness itself — (WS1) measure context budget as a deterministic, trendable inventory (tokens per CLAUDE.md / skill / agent, lexical redundancy, per-CI cold-write totals; committed history.jsonl), (WS2) reconstruct the real invocation trace (which skills/agents/tools fired and how they nested) from session transcripts, and (WS-A) roll the per-run CI traces up into a committed weekly usage record (per-skill invocation counts; usage.jsonl) — the usage side of the dead-weight join. Use for "context budget", "how big is CLAUDE.md / our skills", "is the harness bloating", "how do our agent loops actually run", "which skills actually get used", "trace this session", "loop station".

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Emit a blocking question the owner can read in ~10 seconds and answer in one reply — the scannable, recommendation-first handoff every agent posts when it hits a fork it can't own. Leads with the one decision + a recommendation, carries the 🤖 provenance header, doubles as the

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。

Bounded improvement loop: one artifact, fixed eval score, keep an edit only if strictly better. Use for AR_DESIGN/AR_FUNCTION/AR_ACCEPTANCE stages or standalone bounded iteration.

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。

Comprehensive code review for commits and pull requests. Covers security, TDD, code quality, and documentation standards.

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。