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Enterprise session state management, token budget optimization, runtime tracking, session handoff protocols, context continuity for Claude Sonnet 4.5 and Haiku 4.5 with context awareness features

Enterprise session state management, token budget optimization, runtime tracking, session handoff protocols, context continuity for Claude Sonnet 4.5 and Haiku 4.5 with context awareness features

Context window management and token budget optimization

Enterprise Claude Code context window optimization with 2025 best practices: aggressive clearing, memory file management, MCP optimization, strategic chunking, and quality-over-quantity principles for 200K token context windows.

Context-efficient codebase exploration using AST analysis. Use when exploring Kosmos architecture, understanding code structure, or preparing documentation for AI programmers. Triggers: xray, map structure, skeleton, interface, architecture, explore kosmos, warm start, token budget, context compression.

Write competitive research proposals for NSF, NIH, DOE, and DARPA. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements.

Write competitive research proposals for NSF, NIH, DOE, and DARPA. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements.

Provides role-specific expertise for 26+ IT company positions. Use when responding from a specific role's perspective, providing role-based advice, or when specialized knowledge is needed for engineering, product, design, data, marketing, sales, operations, HR, legal, finance, leadership, or academic functions.

Build stateless MCP servers with TypeScript on Cloudflare Workers using @modelcontextprotocol/sdk. Provides patterns for tools, resources, prompts, and authentication (API keys, OAuth, Zero Trust). Use when exposing APIs to LLMs, integrating Cloudflare services (D1, KV, R2, Vectorize), or troubleshooting export syntax errors, unclosed transport leaks, or CORS misconfigurations.

World-class prompt powerhouse that generates production-ready mega-prompts for any role, industry, and task through intelligent 7-question flow, 69 comprehensive presets across 15 professional domains (technical, business, creative, legal, finance, HR, design, customer, executive, manufacturing, R&D, regulatory, specialized-technical, research, creative-media), multiple output formats (XML/Claude/ChatGPT/Gemini), quality validation gates, and contextual best practices from OpenAI/Anthropic/Google. Supports both core and advanced modes with testing scenarios and prompt variations.

Minimize token usage through conservative prompting, work delegation, and quota tracking. Triggers: token usage, quota, token limits, prompt size, token conservation, usage tracking, delegation, context compression, token budget Use when: session starts (mandatory), prompt sizes spike, tool calls increase, before long-running analyses or massive context loads DO NOT use when: context-optimization already handles the scenario. DO NOT use when: simple queries with minimal context. Use this skill at the START of every session. This is MANDATORY for quota management.

Guide to deciding whether to escalate from a lower model (haiku/sonnet) to a higher model (sonnet/opus). Triggers: model escalation, haiku to sonnet, sonnet to opus, reasoning depth, task complexity, model selection, capability trade-off Use when: evaluating whether to escalate models, facing genuine complexity requiring deeper reasoning, novel patterns with no existing solutions, high-stakes decisions requiring capability investment DO NOT use when: thrashing without investigation - investigate root cause first. DO NOT use when: time pressure alone - urgency doesn't change task complexity. DO NOT use when: "just to be safe" - assess actual complexity instead. NEVER escalate without investigation first. This is the Iron Law.

Use when designing or reviewing a backend MVP with tight budget, evolving schema, and reliance on third-party backends where idempotency, replay, and responsibility attribution are high-risk.

Infrastructure and development cost estimation for technical projects. Use when planning budgets, evaluating build vs buy decisions, or projecting TCO for architecture choices.

Perform multi-touch attribution analysis using Markov chains, Shapley values, and custom attribution models. Use when you need to analyze marketing channel effectiveness, calculate conversion attribution, optimize marketing budgets, or understand customer journey paths. Supports channel transition analysis, ROI calculation, and marketing optimization insights with Chinese language support.

Use when coordinating shoots, vendors, budgets, and compliance for video projects.

Use when reallocating spend across channels/ad sets or setting guardrails to stay on plan.

Prioritizes tests based on ROI and critical user journeys. Use when: deciding test coverage, selecting test types, or budgeting effort.

Identify differences between current state and desired future state. Analyze gaps in capabilities, processes, skills, and technology to plan improvements and investments.

Build compelling business cases to justify investments and secure funding. Quantify benefits, assess costs, manage risks, and present compelling ROI arguments to leadership.