Results for “liquiditaetsplanung”

Integrate Uniswap liquidity provisioning (LP) into applications via the LP REST API. Use when the user says "LP API", "liquidity provisioning API", "provide liquidity programmatically", "create LP position via API", "add liquidity via API", "increase liquidity", "decrease liquidity", "remove liquidity", "claim LP fees", "collect LP fees", "manage LP positions in code", or mentions building a backend, bot, or frontend that creates or manages Uniswap v2/v3/v4 liquidity positions through an API. Also use when debugging LP API calls (e.g. /lp/create, /lp/check_approval, /lp/increase, /lp/decrease, /lp/claim_fees), unexpected response fields, the approval or EIP-712 permit flow, or transaction-building errors for liquidity positions. For generating deep links to the Uniswap web app instead of calling the API, use the liquidity-planner skill; for using the Uniswap v4 SDK directly rather than the REST API, use the v4-sdk-integration skill.

Build a rolling 30/60/90-day cash forecast from AR/AP aging and fixed outflows, flag floor breaches, and model liquidity levers.

Use when forecasting resource needs, evaluating if current capacity is sufficient for planned work, or sizing systems for expected load. This skill provides procedures for estimating, planning, and monitoring capacity to prevent resource shortages.

Drafts institutional-quality Limited Partnership Agreements for PE/VC fund formation. Covers GP/LP terms, capital commitments, distribution waterfall, carried interest, LPAC governance, clawback, and tax provisions. Use when drafting LPA, fund formation agreement, limited partnership terms, or PE/VC fund documents.

Plan and execute enterprise sales cycles using MEDDICC qualification, mutual action plans, and stakeholder mapping to systematically close complex deals.

Coordinate the end-to-end pipeline from CAD or source assets to SimReady USD assets, including conversion, material and physics assignment, validation, conformance, and optional packaging.

Provides guidance and code for production AI workflows including RAG pipelines, vector databases, embedding indexing, prompt engineering, cost estimation, semantic caching, and quality evaluation.

Plan and review paid-media budgets, bidding, pacing, marginal return, forecasts, CPA, ROAS, MER, LTV:CAC, constraints, and allocation across supported platforms.

Designs ETL/ELT data pipelines with Apache Airflow, dbt, or Prefect configurations

Designing GitHub Actions workflows in depth: trigger strategy, security hardening, performance optimization, PR automation, and Reusable Workflow design.

CI/CD pipeline setup — GitHub Actions, testing, linting, deployment. Use when setting up CI from scratch, adding GitHub Actions, automating tests, wiring up deployment, or improving an existing build pipeline.

Expert-level guidance for GitLab CI/CD pipeline configuration, development, optimization, debugging, and best practices.

Designs and implements CI/CD pipelines, infrastructure automation, and workflow optimization to reduce manual tasks.

ML pipeline design — data versioning, experiment tracking, deployment patterns, drift monitoring. Use when building an ML pipeline from data to deployment, setting up MLOps tooling (DVC, MLflow, model registry), choosing deployment patterns (shadow, canary, A/B), or designing monitoring for drift and degradation.

Optimize Kubernetes cluster costs by right-sizing resources, configuring autoscalers, using spot instances, and monitoring spend.

Guides production LLM operations: RAG pipelines, embeddings, vector databases, fine-tuning, prompt engineering, cost estimation, quality evals, and AI architectures.

Build a compact, validation-gated implementation plan for multi-step, risky, or ambiguous work — typically when phases need explicit checkpoints, the change touches multiple files/services, or the user wants alignment before execution. Output goes to `.claude/plans/<topic>.md` (or `.agents/plans/`) with goal, in/out-of-scope, phased steps, validation per phase, and replanning triggers. Skip for trivial single-file fixes, bug investigations (use `tracer`), or open-ended exploration (use `explore`). Pair with `ship` once the plan ends and merge work begins.

Create and manage budgets with variance analysis and departmental allocation. Use when the user requests budget planning or provides relevant inputs for this workflow.

Guides project-level decisions for LLM-powered systems: task-model fit, pipeline architecture, token and cost estimation, and agent-assisted iteration.

Designing and evaluating AI/ML systems: prompt engineering, RAG design, LLM application patterns, AI safety, evaluation frameworks, MLOps, cost optimization. Use for AI pipelines or eval harnesses.

LLM Operations -- RAG, embeddings, vector databases, fine-tuning, prompt engineering avancado, custos de LLM, evals de qualidade e arquiteturas de IA para producao.

Produce a 30/60/90-day cash-flow forecast from AR and AP with base/low/high confidence bands and shortfall alerts.

Design and optimize revenue operations, including lead lifecycle rules, scoring, routing, handoffs, and CRM process automation for marketing, sales, and customer success alignment.

Optimize electricity and gas procurement, tariffs, demand charges, renewable PPAs, and multi-facility energy costs using market analysis, hedging strategies, and load profiling.

LLM Operations -- RAG, embeddings, vector databases, fine-tuning, prompt engineering avancado, custos de LLM, evals de qualidade e arquiteturas de IA para producao.

Implements production LLM operations: RAG pipelines, embeddings, vector databases, fine-tuning, advanced prompt engineering, cost estimation, quality evals, semantic caching, streaming, and agents.

LLM Operations -- RAG, embeddings, vector databases, fine-tuning, prompt engineering avancado, custos de LLM, evals de qualidade e arquiteturas de IA para producao.

LLM Operations -- RAG, embeddings, vector databases, fine-tuning, prompt engineering avancado, custos de LLM, evals de qualidade e arquiteturas de IA para producao.

LLM Operations -- RAG, embeddings, vector databases, fine-tuning, prompt engineering avancado, custos de LLM, evals de qualidade e arquiteturas de IA para producao.

Optimizing FinOps and cloud cost: IaC-based estimation, right-sizing, RI/SP recommendations, anomaly detection, budget alerts, AI/GPU workload economics. Use to forecast or cut cloud spend.

Turn "what's the plan" into a GTM plan you can defend, verdict-first. Names the two or three bets, the motions behind each, the targets, the capacity math that says whether the number is reachable, and the risks that would break it. Built for B2B GTM leaders, customizable to your model and stage. Trigger on "build our GTM plan", "plan the quarter", "is this number reachable", "what are our bets", "annual GTM planning", "do we have the capacity", or any planning cycle.

Provides a security checklist and hardened Solidity patterns for auditing AMM contracts, liquidity pools, and swap flows, covering reentrancy, CEI ordering, donation attacks, oracle manipulation, slippage, admin controls, and integer math.

Use when planning a PLDI campaign across its annual clock — backward-planning from the November deadline through winter reviewing, the February response window, March notification, post-acceptance artifact evaluation, PACMPL production, and the June conference, with owners for each deliverable.

Use this skill whenever a developer wants to turn an idea into a complete, production-ready, end-to-end system plan BEFORE writing any code. Trigger on 'plan this system', 'design the architecture for', 'help me blueprint', 'deep plan for X', 'break this idea into components', 'expand into action points', 'full implementation plan', or when the user pastes a project idea wanting architecture, components, pipelines, and file-level execution mapped out. Casual phrasing also triggers: 'help me think this through end-to-end', 'plan before coding'. Also covers living-workspace patterns: self-improving knowledge bases, reflection loops with auditor agents, four-agent teams, schema-as-code, wiki health scoring. **Resume triggers**: 'where did we leave off', 'continue this plan', 'resume my blueprint' - rehydrates state from disk via SESSION.md/NEXT.md/decisions/. Web research is mandatory every invocation.

Solidity AMM 合约、流动性池和交换流程的安全检查清单。涵盖重入、CEI 排序、捐赠或通胀攻击、预言机操纵、滑点、管理员控制和整数数学。