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Creates and refines Founder Story and brand narrative content for DTC/independent stores selling founder-driven products (e.g. handcrafted leather, artisan sauces, small-batch goods). Use whenever the user mentions founder story, brand story, about page, origin story, artisan brand, handcrafted brand, "who we are" copy, brand voice, mission/vision for a product brand, landing page hero narrative, PDP brand block, or wants to differentiate through authenticity and founder-led storytelling—even if they do not say "founder story" explicitly. Output structured narrative frameworks, placement guidance, and ready-to-use copy aligned with DTC best practices.

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Structured, multi-dimensional company investment research framework for AI agents and human analysts. Provides a 10-part checklist (moat, tech, market, customers, growth, financials, geography, governance, valuation, recommendation) to turn scattered info into a consistent, high-quality investment memo. | 面向 AI Agent 与人工分析师的公司投研框架，用 10 大维度系统梳理商业模式、护城河、成长与估值，快速产出结构化投研报告。

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Personal leadership development for founders and first-time CEOs. Covers founder archetype identification, delegation frameworks, energy management, CEO calendar audits, leadership style evolution, blind spot identification, imposter syndrome, founder mental health, and succession planning. Use when a founder feels like the bottleneck, struggles to delegate, is burning out, transitioning from IC to executive, managing a board, or when user mentions founder mode, CEO growth, leadership development, delegation, burnout, or imposter syndrome.

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Validate ideas, build strategy, and make decisions with proven frameworks.

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Complete B2B sales system — from ICP to closed-won. Discovery frameworks, objection handling, pipeline management, forecasting, and deal acceleration. Works for any B2B company.

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Maxim L3 pack. Bundles: HIPAA + ISO 13485 + ISO 14971 + FHIR/HL7. Primary framework: ISO 14971 (medical-device risk management).

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Maxim L2 pack. Bundles: All six L1 packs. Primary framework: Behavioral Moat Framing Doctrine (ADR-007).

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Maxim L3 pack. Bundles: PCI-DSS + FINTRAC + SOX + FDX. Primary framework: PCI-DSS v4.0 (Payment Card Industry).

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14 regulated-industry frameworks enforced on every output. Audit-ready on demand.

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86 peer-reviewed behavioral frameworks applied to every Maxim output. The flagship moat.

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Maxim L2 pack. Bundles: L1.5 Brand & Design Pro + L1.6 Behavioral Intelligence + L1.2 MemPalace Pro. Primary framework: EAST (Easy, Attractive, Social, Timely).

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Maxim L3 pack. Bundles: FedRAMP + NIST 800-53 + Section 508. Primary framework: NIST 800-53 (federal security controls).

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Maxim L2 pack. Bundles: L1.1 AI Governance + L1.2 MemPalace Pro + L1.3 Proactive Watch. Primary framework: Fogg Behavior Model.

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Maxim L2 pack. Bundles: L1.1 + L1.2 + L1.3 + L1.4 + L1.5 (five L1 packs). Primary framework: COM-B (Michie et al.).

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Maxim L3 pack. Bundles: Attorney-client privilege + ethics walls + conflict-of-interest patterns. Primary framework: ABA Model Rules of Professional Conduct.

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Maxim Brand Intelligence — brand identity, voice architecture, visual identity systems, messaging frameworks, brand consistency enforcement. Activate for brand strategy, brand audits, brand guidelines, tone of voice, asset compliance, color palette, typography specs. Powered by Maxim behavioral science layer.

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Generate opening hooks for content — "give me hooks for", "write hooks for this topic", "10 opening lines for". Returns 10 distinct hooks across different psychological angles using the named 2-Second Hook framework.

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Regulatory review across 14 frameworks — compliance review, privacy impact assessment, regulatory gap analysis, data subject rights, consent mechanisms, audit trail, AI ethics review, data flow mapping. Covers GDPR, PIPEDA, HIPAA, PCI-DSS, SOC2, UAE-PDPL, EU AI Act and more.

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Create optimized multi-stage Dockerfiles for any language or framework

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Decision frameworks and patterns for choosing and composing Claude Code components — skills, sub-agents, hooks, MCP servers, and slash commands — into effective multi-component agentic systems with proper orchestration and context management.

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End-to-end skill for building, testing, linting, versioning, and publishing a production-grade Python library to PyPI. Covers all four build backends (setuptools+setuptools_scm, hatchling, flit, poetry), PEP 440 versioning, semantic versioning, dynamic git-tag versioning, OOP/SOLID design, type hints (PEP 484/526/544/561), Trusted Publishing (OIDC), and the full PyPA packaging flow. Use for: creating Python packages, pip-installable SDKs, CLI tools, framework plugins, pyproject.toml setup, py.typed, setuptools_scm, semver, mypy, pre-commit, GitHub Actions CI/CD, or PyPI publishing.

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Create agent skills for Microsoft technologies using Learn MCP tools. Use when users want to create a skill that teaches agents about any Microsoft technology, library, framework, or service (Azure, .NET, M365, VS Code, Bicep, etc.). Investigates topics deeply, then generates a hybrid skill storing essential knowledge locally while enabling dynamic deeper investigation.

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Four-phase framework for onboarding enterprise customers from contract to value realization. Use when implementing new enterprise customers, preventing churn during onboarding, or solving the adoption cliff that kills deals post-go-live. Includes the Week 4 ghosting pattern.

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Query official Microsoft documentation to find concepts, tutorials, and code examples across Azure, .NET, Agent Framework, Aspire, VS Code, GitHub, and more. Uses Microsoft Learn MCP as the default, with Context7 and Aspire MCP for content that lives outside learn.microsoft.com.

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