tddhypershift
TDD workflow with HyperShift cluster - real-time debugging with full cluster access
TDD workflow with HyperShift cluster - real-time debugging with full cluster access
Create and destroy HyperShift clusters on AWS for testing Kagenti platform. Manages ephemeral OpenShift clusters.
Manage HyperShift clusters on AWS for Kagenti testing. Create, destroy, debug clusters and check quotas.
Guide for creating new CLI or HTTP adapters to integrate AI models into the AI Counsel deliberation system
Use llamactl to initialize, locally preview, deploy and manage LlamaIndex workflows as LlamaAgents. Required llama-index-workflows and llamactl to be installed in the environment.
Invoke this skill BEFORE implementing any structured data extraction from documents to learn the correct llama_cloud_services API usage. Required reading before writing extraction code. Requires llama_cloud_services package and LLAMA_CLOUD_API_KEY as an environment variable.
Invoke this skill BEFORE implementing any text extraction/parsing logic to learn how to use LlamaParse to process any document accurately. Requires llama_cloud_services package and LLAMA_CLOUD_API_KEY as an environment variable.
Invoke this skill BEFORE implementing any text/document classification task to learn the correct llama_cloud_services API usage. Required reading before writing classification code." Requires the llama_cloud_services package and LLAMA_CLOUD_API_KEY as an environment variable.
Query and analyze the AI Counsel decision graph to find past deliberations, identify patterns, and debug memory issues
Leverage Retrieval Augmented Generation to retrieve relevant information from a a LlamaCloud Index. Requires the llama_cloud_services package and LLAMA_CLOUD_API_KEY as an environment variable.
基于用户画像和向量化笔记提供个性化对话。当用户需要个性化交流、上下文感知的回应,或希望 AI 记住并引用其之前的想法和笔记时使用。
Expert prompt engineering skill that transforms Claude into "Alpha-Prompt" - a master prompt engineer who collaboratively crafts high-quality prompts through flexible dialogue. Activates when user asks to "optimize prompt", "improve system instruction", "enhance AI instruction", or mentions prompt engineering tasks.
Generate structured context summaries for session continuity across compaction
Multi-model deep research with comparative assessment (OpenAI + Perplexity + Gemini). Queries 3 deep research providers in parallel and produces a comparative synthesis.
Discover connections between existing knowledge items. Scans the knowledge base for related concepts, updates topic maps, and surfaces synthesis opportunities using graph traversal. The connective tissue step of the 6R pipeline. Triggers on: "reflect", "connect", "find related", "topic map"
Convert rough user ideas/proposals/chat transcripts into structured TODO DSL steps, with per-step knowledge/codebase references for low-bias orchestration.
End-to-end processing pipeline that chains the full 6R sequence: seed, reduce, reflect, reweave, verify. Runs per-item or in batch mode. Three depth levels control thoroughness vs. speed. The orchestrator for all processing skills. Triggers on: "pipeline", "process", "full pipeline", "6R"
Daily consolidation dashboard — reads outputs from all routines (morning, linear, github, community, strategy, meetings, metrics) and generates a unified HTML dashboard. Trigger when user says 'dashboard', 'generate dashboard', 'overview', 'consolidation', or 'general panel'.
Unified social media analytics report — consolidates YouTube, Instagram, and LinkedIn data into one cross-platform HTML dashboard. Compares engagement, followers, top content across all platforms. Use when user says 'social analytics', 'social media report', 'social report', 'social metrics', 'cross-platform', or any reference to unified social media performance.
Audit consistency of repeated long-line oracle outputs and diagnose drift causes across routing, retrieval, and generation settings. Use when validating long-term ZiWei responses, regression testing, or before release quality gates.
Calculate priority score for bugs, issues, or tasks based on severity, impact, and likelihood. Use for bug prioritization, task ordering, or risk assessment.
Generate well-formatted markdown tables from data with proper alignment and spacing. Use for report statistics, comparison tables, or summary data presentation.
Process error logs from admin panel - fetch new errors, analyze, create tasks, fix, and mark resolved