aka. Agent Skills
Discover skills for AI coding agents. Works with Claude Code, OpenAI Codex, Gemini CLI, Cursor, and more.
Analyzes events through futures lens using scenario planning, trend analysis, weak signals, drivers of change, and forecasting methods (exploratory, normative, backcasting). Provides insights on possible futures, emerging trends, disruptive forces, strategic foresight, and alternative scenarios. Use when: Strategic planning, emerging trends, technology assessment, long-term planning, uncertainty navigation. Evaluates: Trends, weak signals, drivers of change, plausible futures, strategic options, uncertainty ranges.
Complete Azure DevOps automation - boards, repos, pipelines, artifacts
Analyzes urban development through planning lens using zoning, land use, comprehensive planning, and transit-oriented development frameworks. Provides insights on spatial organization, infrastructure, sustainability, and livability. Use when: Urban development projects, zoning decisions, transportation planning, sustainability initiatives. Evaluates: Land use patterns, density, accessibility, environmental impact, community needs.
6-phase investigation workflow for understanding existing systems. Auto-activates for research tasks. Optimized for exploration and understanding, not implementation. Includes parallel agent deployment for efficient deep dives and automatic knowledge capture to prevent repeat investigations.
Create, edit, and analyze Word documents with tracked changes support
Analyzes technical systems and problems through engineering lens using first principles, systems thinking, design methodologies, and optimization frameworks. Provides insights on feasibility, performance, reliability, scalability, and trade-offs. Use when: System design, technical feasibility, optimization, failure analysis, performance issues. Evaluates: Requirements, constraints, trade-offs, efficiency, robustness, maintainability.
Analyzes events through indigenous knowledge systems using relational thinking, seven generations principle, reciprocity, holistic integration, and traditional ecological knowledge frameworks. Provides insights on interconnectedness, long-term sustainability, collective wisdom, and decolonial perspectives. Use when: Environmental decisions, resource stewardship, community governance, decolonization, intergenerational planning. Evaluates: Relationships, sustainability, collective impact, indigenous rights, traditional knowledge integration.
Intelligent test selection based on code changes. Maps source files to tests via import analysis, implements tiered testing (fast < 1 min, impacted < 5 min, full suite), and tracks test reliability. Use when running tests after code changes to optimize feedback loops and CI time.
Analyzes fundamental questions and concepts through philosophical lens using logic, epistemology, metaphysics, and critical analysis frameworks. Provides insights on meaning, truth, knowledge, existence, reasoning, and conceptual clarity. Use when: Conceptual ambiguity, logical arguments, foundational assumptions, meaning questions. Evaluates: Validity, soundness, coherence, assumptions, implications, conceptual clarity.
N-version programming for critical implementations - generates N independent solutions and selects the best through comparison
Analyzes events through poetic lens using close reading, metaphor analysis, imagery, rhythm, form analysis, and attention to language's emotional and aesthetic dimensions. Provides insights on emotional truth, symbolic meaning, human experience, aesthetic impact, and expressive depth. Use when: Understanding emotional dimensions, symbolic meaning, communication impact, cultural resonance, human experience. Evaluates: Imagery, metaphor, rhythm, emotional truth, symbolic depth, aesthetic power, resonance, ambiguity.
Writing clear, discoverable software documentation following the Eight Rules and Diataxis framework. Use when creating README files, API docs, tutorials, how-to guides, or any project documentation. Automatically enforces docs/ location, linking requirements, and runnable examples.
Analyzes events through anthropological lens using cultural analysis, ethnographic methods, kinship and social organization, symbolic systems, ritual and practice, and comparative ethnology. Provides insights on cultural meanings, social practices, symbolic structures, cultural change, and cross-cultural patterns. Use when: Cultural conflicts, identity issues, ritual significance, symbolic meanings, cultural change, cross-cultural comparison. Evaluates: Cultural systems, symbolic meanings, social practices, kinship structures, cultural adaptation, power-culture nexus.
Development workflow for features, bugs, refactoring. Auto-activates for multi-file implementations.
Invoke this skill when the user swears or becomes upset
Guides and best practices for working with Neon Serverless Postgres. Covers getting started, local development with Neon, choosing a connection method, Neon features, authentication (@neondatabase/auth), PostgREST-style data API (@neondatabase/neon-js), Neon CLI, and Neon's Platform API/SDKs. Use for any Neon-related questions.
Multi-agent consensus voting with domain-weighted expertise for critical decisions requiring structured validation
Analyzes events through economic lens using supply/demand, incentive structures, market dynamics, and multiple schools of economic thought (Classical, Keynesian, Austrian, Behavioral). Provides insights on market impacts, resource allocation, policy implications, and distributional effects. Use when: Economic events, policy changes, market shifts, financial crises, regulatory decisions. Evaluates: Incentives, efficiency, opportunity costs, market failures, systemic risks.
Extracts key learnings from conversations, debugging sessions, and failed attempts. Use at session end or after solving complex problems to capture insights. Stores discoveries in memory (via amplihack.memory.discoveries), suggests PATTERNS.md updates, and recommends new agent creation. Ensures knowledge persists across sessions via Kuzu memory backend.
Converts architecture descriptions, module specs, or workflow docs into Mermaid diagrams. Use when visualizing brick module relationships, workflows (DDD, investigation), or system architecture. Supports: flowcharts, sequence diagrams, class diagrams, state machines, entity relationship diagrams, and Gantt charts. Generates valid Mermaid syntax for embedding in markdown docs.