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launch
Go-to-market engine for ID8Labs. Transforms built products into successful launches through positioning, pricing, channel strategy, and tactical execution.
Skills IA blockchain finance investment
Découvrez les skills blockchain finance investment, comparez leurs dépôts et consultez leurs instructions.
Catégories: blockchain finance investment
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Explorer
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pmf-analyzer
Assess product-market fit using frameworks, metrics, and customer signals
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inventory-manager
Track inventory levels, manage stock, forecast demand, and optimize replenishment
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book-architect
Design the structural and emotional architecture for nonfiction books. Use when an author has a validated book concept and needs to create the blueprint before drafting. Triggers include requests to structure a...
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book-market-research
Assess commercial viability of book concepts for Amazon KDP self-publishing. Use when the user has a Book Concept Document and wants to understand market demand, competition, pricing, and positioning before com...
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book-idea-validator
Stress-test book concepts against existing research before committing to architecture. Use when the user has a Book Concept Document ready for validation, wants to verify their thesis is defensible, needs to un...
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feature-planning
Use this skill to create structured, comprehensive plans for complex features in ~/.ai/plans. This skill teaches how to use progressive disclosure, phase-based implementation strategies, and organized documenta...
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protocol-evolution-markets
Prediction markets for protocol standard evolution. Bet on which specs survive, fork, or merge using multiverse finance and GF(3) fitness signals.
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xlsx
Comprehensive spreadsheet creation, editing, and analysis with support
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multiversal-finance
Multiversal Finance: Prediction Markets for Interesting Observations
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interpreting-culture-index
Use when interpreting Culture Index surveys, CI profiles, behavioral assessments, or personality data. Supports individual interpretation, team composition (gas/brake/glue), burnout detection, profile compariso...
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dune-analytics
Query Dune Analytics API for blockchain data, pyUSD flows, stablecoin metrics, and on-chain analytics. Use when analyzing DeFi protocols, token flows, or building dashboards.
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fokker-planck-analyzer
Layer 5: Convergence to Equilibrium Analysis
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tech-evaluator
评估技术栈选项，使用加权决策矩阵和 ATAM 方法论产出架构决策记录 (ADR)。
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research
Research technical solutions by searching the web, examining GitHub repos, and gathering evidence. Use when exploring implementation options or evaluating technologies.
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documentation-criteria
Documentation creation criteria including PRD, ADR, Design Doc, and Work Plan requirements with templates. Use when creating or reviewing technical documents, or determining which documents are required.
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risk-management
プロジェクト/プロダクトのリスクを識別・分析・対応・監視するための実務スキル。 影響度・確率の評価とリスクレジスター更新を通じて、意思決定と実行計画の質を高める。 Anchors: • PMBOK Guide (PMI) / 適用: リスク管理...
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security-reporting
セキュリティ診断レポートの作成と脆弱性報告の文書化を支援するスキル。 脅威分析、脆弱性評価、リスク採点、レポート生成の一連のプロセスを体系化し、 専門的で実用性の高いセキュリティドキュメントを作成する。 Anchors:...
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investigate
Deep analytical investigation mode using Bayesian reasoning, superforecasting techniques, and rigorous hypothesis testing. Combines methods from Kahneman, Tetlock, Peirce, and Feynman. Use when user invokes /in...
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microcalibrate
Survey weight calibration to match population targets - used in policyengine-us-data for enhanced microdata
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policyengine-us
PolicyEngine-US federal and state tax/benefit rules - variables, parameters, household situations. For national/state microsimulation see policyengine-microsimulation; for district-level see policyengine-distri...
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policyengine-user-guide
Using PolicyEngine web apps to analyze tax and benefit policy impacts - for users of policyengine.org
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policyengine-uk
PolicyEngine-UK tax and benefit microsimulation patterns, situation creation, and common workflows
GitHub
policyengine-microsimulation
ALWAYS USE THIS SKILL for PolicyEngine microsimulation, population-level analysis, winners/losers calculations. Triggers: "microsimulation", "share who would lose/gain", "policy impact", "national average", wei...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.