Claude Skills by majiayu000

Design distributed systems in the style of Martin Kleppmann, author of "Designing Data-Intensive Applications". Emphasizes understanding data systems deeply, making informed trade-offs, and building reliable data infrastructure. Use when designing databases, streaming systems, or data pipelines.

Writing assistant trained in Ken Klippenstein's investigative journalism style - anti-establishment, transparent, evidence-based, no MSM brain

Manage multi-session AI agent workflows using klondike CLI. Use when working on klondike-managed projects (those with .klondike/ directory), when starting/ending coding sessions, tracking features through lifecycle, or maintaining coherence across context window resets. Triggers on session management, feature tracking, progress handoffs, and verification workflows.

Klue competitive enablement for dynamic battlecard management

Use when asked to convert between KML and GeoJSON formats, or convert geo data for mapping applications.

Handles API key and user token authentication for secure Knack API access. Manages session creation, refresh, and credential validation.

Caches API results and enforces Knack's 10-requests-per-second rate limit. Critical for dashboard performance and cost reduction.

Generates insight layers and visual summaries from HTI operational data. Transforms raw Knack records into actionable intelligence for stakeholders...

Ensures accuracy for HTI compliance and performance dashboards through data validation, deduplication, normalization, and integrity checks. Critica...

Manages automated build, deployment, environment sync, and monitoring for HTI's Knack-Vercel integration. Ensures dashboard uptime, data sync relia...

Dynamic filtering, sorting, and query optimization for HTI dashboards and compliance reports. Reduces API payload size and improves dashboard perfo...

Tracks HTI's performance against both grant and business development goals in real-time. Provides early warning system for goal attainment risks an...

Manages full data retrieval while respecting Knack's 1,000-record-per-page limit. Essential for HTI's 3,500+ laptop inventory and compliance report...

REST-based access to Knack Objects and Views for data extraction and transformation. Primary skill for reading HTI operational data from Knack data...

Simulates live updates between Knack backend and Vercel dashboards. Enables near-real-time synchronization of HTI operational data without constant...

Automates Digital Champion Grant and internal quarterly reporting. Ensures NCDIT compliance and generates stakeholder-ready reports from HTI operat...

Deploy serverless workloads with Knative Serving for scale-to-zero and autoscaling. Use for creating Knative Services, configuring autoscaling, traffic splitting, and revisions. Triggers on "knative service", "scale-to-zero", "serverless deployment", "ksvc", "knative autoscaling", "traffic splitting", or when deploying agents as serverless workloads.

Knative serverless platform for Kubernetes. Use when deploying serverless workloads, configuring autoscaling (scale-to-zero), event-driven architectures, traffic management (blue-green, canary), CloudEvents routing, Brokers/Triggers/Sources, or working with Knative Serving/Eventing/Functions. Covers installation, networking (Kourier/Istio/Contour), and troubleshooting.

Knip dead code detection best practices for JavaScript and TypeScript projects. Use when configuring Knip, analyzing unused code, setting up CI integration, or cleaning up codebases. Triggers on knip.json, dead code, unused exports, unused dependencies, bundle optimization.

Expert in visualizing and explaining braid theory, knot mathematics, and topological concepts for educational purposes. Use for creating interactive visualizations, explainer cards, step-wise animations, and translating abstract algebra into intuitive understanding. Activate on keywords: braid theory, knot visualization, σ notation, crossing diagrams, Yang-Baxter, topological education. NOT for general math tutoring, pure knot invariant computation, or non-educational knot theory research.

Master the know CLI tool for managing specification graphs. Use when working with spec-graph.json, understanding graph structure, querying entities/references/meta, managing dependencies, or learning graph architecture. Teaches dependency rules, entity types, and graph operations.

Create wiki structure and tagging.

Knowledge Base System

Provides reusable templates for generating comprehensive codebase knowledge bases including architecture diagrams, concept maps, and module documentation. Supports both single-project and monorepo structures. Use when creating project documentation, knowledge bases, or when user mentions KB templates, codebase documentation, or project documentation structure.

Updates the system knowledge base with new best practices and constraints.

Building self-service support systems by organizing articles, documentation, and FAQs with search functionality, categorization, and analytics to help users find answers without contacting support.

Query knowledge artifacts across all locations. Triggers: "find learnings", "search patterns", "query knowledge", "what do we know about", "where is the plan".

Transform conversations and discussions into structured Notion documentation

Build frameworks from scattered insights across all braindumps and notes

Discover relevant skills and knowledge using tiered approach. SKIP for simple tasks, QUICK for single-skill, STANDARD for multi-skill, DEEP for full feature implementation. Auto-selects tier based on task complexity.

Extracts key learnings from conversations, debugging sessions, and failed attempts. Use at session end or after solving complex problems to capture insights. Automatically suggests updates to: DISCOVERIES.md (learnings), PATTERNS.md (reusable solutions), new agent creation (repeated workflows). Ensures knowledge persists across sessions.

Auto-applies MECE/BFO framework (thesis, Mermaid TD/LR, numbered sections, Ground Truth) to ANY .md file creation.

Designs and builds knowledge graphs to represent entities, relationships, and semantic connections, with query patterns for Neo4j, RDF, and property graphs.

Patterns for ingesting knowledge into vector databases and RAG systems

- [What It Is](#what-it-is) - [The Intake Signal](#the-intake-signal) - [Quick Start](#quick-start) - [Evaluation Framework](#evaluation-framework) - [Importance Criteria](#importance-criteria) - [Scoring Guide](#scoring-guide) - [Application Routing](#application-routing) - [Local Codebase Application](#local-codebase-application) - [Meta-Infrastructure Application](#meta-infrastructure-application) - [Routing Decision Tree](#routing-decision-tree) - [Storage Locations](#storage-locations) - [T

- [What It Is](#what-it-is) - [Quick Start](#quick-start) - [Search Palaces](#search-palaces) - [List All Palaces](#list-all-palaces) - [When to Use](#when-to-use) - [Search Modalities](#search-modalities) - [Core Workflow](#core-workflow) - [Target Metrics](#target-metrics) - [Detailed Resources](#detailed-resources) - [PR Review Search](#pr-review-search) - [Quick Commands](#quick-commands) - [Review Chamber Rooms](#review-chamber-rooms) - [Context-Aware Surfacing](#context-aware-surfacing) -

4-layer knowledge capture system for development sessions. Use when user says /mem (quick capture), /distill (extract patterns), /td (post-task retrospective with Before/After context), /improve (work on pending items), or /commit (atomic commits via TDG). Manages docs/learnings/, docs/knowledge-base/, and docs/retrospective/ directories.

智能知识管理助手,自动分析、组织和优化知识库

PR Review 修复模式库。在处理 PR Review 评论时自动查阅，寻找已知问题模式和解决方案。

专注于竖屏短剧知识库查询和信息检索，提供专业知识服务。适用于查询剧本桥段、高能情节、创作技巧、商业运营等专业知识

Teaches how to use Bluera Knowledge for accessing library sources and reference material. Explains two approaches - vector search via MCP/slash commands for discovery, or direct Grep/Read access to cloned repos for precision. Shows when to use each method and example workflows for querying library internals.

Retrieves implementation knowledge, code examples, and documentation references. Use to inform technical decision-making when the user requires specific library usage, framework patterns, or syntax details. Trigger on requests to 'search docs', 'find code examples', or 'check implementation details'.

Creating processes and tools for sharing knowledge across teams to reduce silos, onboard faster, improve team resilience, and foster innovation through cross-pollination of ideas.

Use after completing a refactor, implementing a major feature, or when skills may be outdated. Analyzes code changes, identifies affected skills, and proposes updates to keep team knowledge current. Also use when you notice a skill contains outdated patterns. Ask clarifying questions if changes are confusing.

Synthesize knowledge from multiple sources into Zettelkasten notes for Logseq. Use when creating wiki pages, integrating academic research, or building interconnected knowledge with [[links]] and #[[tags]].

Expert knowledge synthesizer specializing in extracting insights from multi-agent interactions, identifying patterns, and building collective intelligence. Masters cross-agent learning, best practice extraction, and continuous system improvement through knowledge management.

Categorize extracted information into the appropriate knowledge base subdirectory (tasks, definitions, wiki, project-status, people, jira-drafts). Use when organizing extractions into the knowledge base.

Progressive learning methodology for structured onboarding using time-boxed learning paths (Day-1, Week-1, Month-1), validation checkpoints, and scaffolding principles. Use when onboarding new contributors, reducing ramp-up time from weeks to days, creating self-service learning paths, systematizing ad-hoc knowledge sharing, or building institutional knowledge preservation. Provides 3 learning path templates (Day-1: 4-8h setup→contribution, Week-1: 20-40h architecture→feature, Month-1: 40-160...

pce-memory + shirushiを活用した知識検証・整合性チェックスキル。 以下の場合に使用: (1) 資料・ドキュメント間の矛盾チェック (2) 指示・意思決定の追跡と検証 (3) 作業途中のリアルタイム整合性チェック (4) 成果物と要件の照合検証 (5) shirushi Doc-IDとコードのトレーサビリティ検証 「チェックして」「整合性確認」「矛盾ない？」「検証して」「トレーサビリティ」等で起動。

Comprehensive global knowledge worker salary data with total market value calculations, sector breakdowns, geographic comparisons, and authoritative sources. USE WHEN discussing knowledge worker compensation, salary benchmarking, economic analysis of professional labor markets, or AI impact on wages.