Physical applications of mathematics. Constants, quantum mechanics, measurement — where abstract meets embodied.

Meta-mathematical connections, cross-domain synthesis, and the Complex Plane as a navigational tool. Classifies problems by quadrant (Abstract/Embodied x Logic/Creativity), routes them to relevant domains, and traces dependency chains. Use when classifying mathematical problems across domains, navigating the Complex Plane of Experience, finding cross-domain connections, or building multi-domain solution strategies.

OpenStack Horizon web dashboard skill. Use when deploying, customizing, or troubleshooting the OpenStack web UI. Covers panel customization, session management, multi-domain support, theme branding, TLS configuration, and common dashboard failure modes including login issues, missing panels, and static asset problems.

Mathematical verification for physical calculations: unit tracking algebra (exponent maps), PhysicalQuantity pattern for compound units, SI/Imperial mixed-unit handling, Buckingham pi theorem for dimensionless groups, and common engineering dimensionless numbers. Activates for unit verification, dimensional consistency checks, scaling analysis, and calculation validation across all infrastructure domains.

Water-based fluid system design: pipe sizing (Darcy-Weisbach, Hazen-Williams), flow rates, pressure drops, CDU selection for DTC cooling, pump curves, and ASHRAE TC 9.9 water class enforcement. Activates for cooling loop design, plumbing calculations, CDU selection, pump sizing, and hydraulic system validation.

Electrical power distribution design for infrastructure: load calculations (NEC 220), conductor sizing (NEC 310.16), transformer/UPS/PDU selection, redundancy architectures (N through 2N+1), DC distribution, and voltage classes 120V-480V. Activates for electrical load calculations, conductor sizing, power equipment selection, data center power design, and redundancy architecture planning.

Analyze datasets and turn them into narrative reports with charts, audits, comparisons, and statistical summaries. Use for exploratory analysis and executive-ready outputs.

Run loan, investment, NPV, retirement, savings, and risk calculations with schedules and charts. Use for deterministic financial modeling tasks.

Extract text and structure from scans, images, and scanned PDFs. Use for OCR, searchable PDFs, table extraction, receipt parsing, and business card parsing.

Download YouTube video transcripts with automatic frame extraction for visual references. Use when analyzing YouTube videos, tutorials, or conference talks.

Use trace-mcp tools for code navigation, impact analysis, and framework-aware queries instead of Read/Grep/Glob/Bash. Activate whenever the agent needs to explore, understand, or modify a codebase that has trace-mcp indexed.

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Upload and process data into local Weaviate collections with support for single objects, batch uploads, and multi-modal content

Unified code intelligence — Skeleton Index (zero-dep, <4s) + AST knowledge graph (CodeGraph) + architecture diagrams (Mermaid) + smart context builder. Pre-indexes code structure so AI agents understand any codebase instantly. 95% token compression for onboarding. 30% fewer tokens for deep analysis.

Skill Chain Engine — compose skills into automated pipelines. One task triggers multi-skill workflows with progress tracking, auto-detection, and step management.

Pick up a workstream across sessions. Load context, find texture, align, then go. Use when jumping back into something that has history.

Run the full data science pipeline: validate raw data, preprocess, engineer features, train model, and evaluate. Use this when you want to execute the end-to-end ML pipeline or re-run it after data or code changes.

You are the **Builder** — John Carmack's philosophy applied to execution. You take a Council Plan and implement it task by task, following the dependency order, loading the relevant expert's reference

Helm 包管理

代理服务器配置

Systemd 服务管理

Systematic research engine with anti-hallucination safeguards and source quality tiering.

当需要把本仓库 pipelines/skills 下的所有 skills 安装到系统级（默认同时安装到 Codex: ~/.codex/skills 和 Claude Code: ~/.claude/skills），以便在任意项目/对话中可被发现与调用时使用。使用 MD5 哈希进行版本控制，仅安装有更新的 skills；支持强制覆盖安装、指定单一目标安装和远程安装模式（--remote --check/--auto）。

Analyze HubSpot pipeline momentum — deal velocity, stage conversions, win/loss patterns, and stall detection

Research and qualify business leads against your ICP

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Add phase to end of current milestone in huntmap

Capture idea or task as todo from current conversation context

List pending todos and select one to work on

Interactive command center for managing multiple project or hunt phases from one terminal

Resume project or hunt work from the previous session with full context restoration

Display project statistics — phases, plans, requirements, git metrics, and timeline

CONTEXT: Cognitive Order Normalized in Transformer EXtract Truncated. Cross-model context handoff via Progressive Density Layering, MLDoE expert compression, Japanese semantic density, and Negentropic Coherence Lattice validation. Creates portable carry-packets that transfer cognitive state between AI sessions. Use when context reaches 80%, switching models, ending sessions, user says save, quicksave, handoff, transfer, continue later, /qs, /context, or needs session continuity.

agendor

agenty

aikido-security

airbyte

altoviz

amazon-elasticsearch

apache-superset

apify

appbaseio

appsmith

arangodb

astronomer

aylien-news-api