knowledge-distillation
Compress large language models using knowledge distillation from teacher to student models. Use when deploying smaller models with retained performance, transferring GPT-4 capabilities to open-source models, or reducing inference costs. Covers temperature scaling, soft targets, reverse KLD, logit distillation, and MiniLLM training strategies.
scvi-tools
Deep learning for single-cell analysis using scvi-tools. This skill should be used when users need (1) data integration and batch correction with scVI/scANVI, (2) ATAC-seq analysis with PeakVI, (3) CITE-seq multi-modal analysis with totalVI, (4) multiome RNA+ATAC analysis with MultiVI, (5) spatial transcriptomics deconvolution with DestVI, (6) label transfer and reference mapping with scANVI/scArches, (7) RNA velocity with veloVI, or (8) any deep learning-based single-cell method. Triggers include mentions of scVI, scANVI, totalVI, PeakVI, MultiVI, DestVI, veloVI, sysVI, scArches, variational autoencoder, VAE, batch correction, data integration, multi-modal, CITE-seq, multiome, reference mapping, latent space.
compliance
Navigate privacy regulations (GDPR, CCPA), review DPAs, and handle data subject requests. Use when reviewing data processing agreements, responding to data subject access or deletion requests, assessing cross-border data transfer requirements, or evaluating privacy compliance.
transcript-to-content
This skill transforms training and onboarding meeting transcripts into structured learning materials, documentation, and actionable review content. Use this skill when processing meeting transcripts from onboarding sessions, training meetings, or knowledge transfer conversations to extract key information and generate study guides, quick reference sheets, checklists, FAQ documents, action item lists, and training effectiveness assessments.
learning-transfer-design
Design instructional strategies that promote knowledge and skill transfer to real-world application contexts
cm
CASS Memory System - procedural memory for AI coding agents. Three-layer cognitive architecture with confidence decay, anti-pattern learning, cross-agent knowledge transfer, trauma guard safety system. Bun/TypeScript CLI.
reasoning-analogical
Transfer knowledge from source domains to novel target situations through structural mapping. Use when facing new markets, products, or situations where past experience provides relevant patterns. Produces adapted solutions with explicit mappings and context adjustments.
project-memory
Generate CLAUDE.md project memory files that transfer institutional knowledge, not obvious information. Use when setting up new journalism projects, onboarding collaborators, or documenting project-specific quirks. Includes templates for editorial tools, event websites, publications, research projects, content pipelines, and digital archives.
mentoring-developers
Frameworks for effective mentoring and knowledge transfer. Use for 1:1 meetings, pair programming, onboarding, teaching technical concepts, and developing junior engineers.
technical-writer
Effective technical documentation - knowing what to write, for whom, and when. From code comments to architecture docs, making knowledge accessible and maintainableUse when "documentation, document, README, API docs, comments, explain, write docs, architecture doc, ADR, user guide, tutorial, onboarding, documentation, writing, communication, knowledge-transfer, API, README, comments, architecture, onboarding" mentioned.
architecture-documenter
Document system architecture and technical design decisions for effective team communication and knowledge transfer, producing clear, versioned artifacts and visual diagrams.
Group Collaboration
Best practices for inter-group communication, knowledge sharing, and collaborative workflows in four-tier architecture
Methodology Bootstrapping
Apply Bootstrapped AI Methodology Engineering (BAIME) to develop project-specific methodologies through systematic Observe-Codify-Automate cycles with dual-layer value functions (instance quality + methodology quality). Use when creating testing strategies, CI/CD pipelines, error handling patterns, observability systems, or any reusable development methodology. Provides structured framework with convergence criteria, agent coordination, and empirical validation. Validated in 8 experiments with 100% success rate, 4.9 avg iterations, 10-50x speedup vs ad-hoc. Works for testing, CI/CD, error recovery, dependency management, documentation systems, knowledge transfer, technical debt, cross-cutting concerns.
sc-explain
Provide clear explanations of code, concepts, and system behavior with educational clarity. Use when understanding code, learning concepts, or knowledge transfer.
build-insights-logger
Automatically log meaningful insights, discoveries, and decisions during coding sessions. Capture non-trivial learnings about edge cases, design decisions, patterns, and implementation details. Activate when building complex code where institutional knowledge should be preserved. Log to .claude/insights/ and help transfer key learnings to CLAUDE.md.
markdown-presentation
This skill should be used when creating markdown-based presentations with expandable sections, timing guides, and speaker-friendly formatting. Use for team onboarding, technical deep-dives, and knowledge transfer sessions.
production-readiness
Enterprise-grade production readiness assessment system for comprehensive codebase evaluation. Use when (1) Evaluating a GitHub repository for production deployment, (2) Conducting pre-launch security and architecture reviews, (3) Assessing technical debt and system reliability, (4) Identifying gaps, vulnerabilities, and incomplete features, (5) Generating actionable remediation plans for engineering teams, (6) Validating scalability, observability, and operational readiness, (7) Reviewing cost optimization and resource efficiency, (8) Auditing compliance with industry standards (SOC2, GDPR, HIPAA, PCI-DSS), (9) Evaluating API contracts and integration stability, (10) Assessing team knowledge transfer and documentation completeness. Performs CTO-level multi-dimensional analysis exceeding top-tier tech company standards.
git-pr-workflows-onboard
You are an **expert onboarding specialist and knowledge transfer architect** with deep experience in remote-first organizations, technical team integration, and accelerated learning methodologies. You
git-pr-workflows-onboard
You are an **expert onboarding specialist and knowledge transfer architect** with deep experience in remote-first organizations, technical team integration, and accelerated learning methodologies. You
describe-design
Research a codebase and create architectural documentation describing how features or systems work. Use when the user asks to: (1) Document how a feature works, (2) Create an architecture overview, (3) Explain code structure for onboarding or knowledge transfer, (4) Research and describe a system's design. Produces markdown documents with Mermaid diagrams and stable code references suitable for humans and AI agents.
teach
AI knowledge transfer calibrated to learner level and needs. Models the learner's mental state, scaffolds from known to unknown using Vygotsky's Zone of Proximal Development, employs Socratic questioning to verify understanding, and adapts explanations based on feedback signals. Use when a user asks "how does X work?" and needs graduated explanation, when their questions reveal a conceptual gap, when previous explanations have not landed, or when teaching a concept that depends on prerequisites the learner may not yet have.
teach
AI knowledge transfer calibrated to learner level and needs. Models the learner's mental state, scaffolds from known to unknown using Vygotsky's Zone of Proximal Development, employs Socratic questioning to verify understanding, and adapts explanations based on feedback signals. Use when a user asks "how does X work?" and needs graduated explanation, when their questions reveal a conceptual gap, when previous explanations have not landed, or when teaching a concept that depends on prerequisites the learner may not yet have.
git-pr-workflows-onboard
You are an **expert onboarding specialist and knowledge transfer architect** with deep experience in remote-first organizations, technical team integration, and accelerated learning methodologies. You
git-pr-workflows-onboard
You are an **expert onboarding specialist and knowledge transfer architect** with deep experience in remote-first organizations, technical team integration, and accelerated learning methodologies. You
cm
CASS Memory System - procedural memory for AI coding agents. Three-layer cognitive architecture with confidence decay, anti-pattern learning, cross-agent knowledge transfer, trauma guard safety system. Bun/TypeScript CLI.
git-pr-workflows-onboard
You are an **expert onboarding specialist and knowledge transfer architect** with deep experience in remote-first organizations, technical team integration, and accelerated learning methodologies. You
capsule
Create and load Claude Capsules — self-contained markdown artifacts for agent-to-agent knowledge transfer with automatic complexity detection and mandatory actionability
git-pr-workflows-onboard
You are an **expert onboarding specialist and knowledge transfer architect** with deep experience in remote-first organizations, technical team integration, and accelerated learning methodologies. You