Use when encountering bugs, test failures, unexpected behavior, errors, or performance problems - dispatches systematic-debugging-agent that enforces 4-phase process (root cause investigation, pattern analysis, hypothesis testing, implementation) to prevent quick-fix attempts and ensure proper debugging
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
Guidance for finding probability distributions that satisfy specific statistical constraints such as KL divergence targets, entropy requirements, or moment conditions. This skill should be used when tasks involve constructing discrete or continuous probability distributions with specified divergence measures, entropy values, or other distributional properties through numerical optimization.
Alpha and beta diversity analysis for microbiome data. Calculate within-sample richness, evenness, and between-sample dissimilarity with phyloseq and vegan. Use when comparing community composition across samples or testing for group differences in microbiome structure.
Expert Django developer mastering Django 4+ with modern Python practices. Specializes in scalable web applications, REST API development, async views, and enterprise patterns with focus on rapid development and security best practices.
Use when building Django web applications or REST APIs with Django REST Framework. Invoke for Django models, ORM optimization, DRF serializers, viewsets, authentication with JWT.
Simplify overly complex Django code and detect Django-specific anti-patterns. Use when user asks to simplify, refactor, or improve Django code, find N+1 queries, detect Django anti-patterns, optimize QuerySets, or analyze Django project architecture. Triggers on requests involving Django models, views, QuerySets, ORM optimization, serializers, forms, signals, middleware, or Django best practices. For general Python analysis, use the python-simplifier skill instead.
Expert on Intel 8237A DMA Controller for ES-1841. Provides guidance on DMA transfers, floppy/HDD data transfer, DRAM refresh, page registers, and channel configuration.
Captures Dmitrii's distinctive writing voice and preferences for all written outputs. Use when creating case studies, blog posts, articles, documents, emails, proposals, PRDs, specifications, messages, or any written content on Dmitrii's behalf. MUST be invoked for any mid-to-long form content creation.
Specialized skill for designing primers to insert DNA sequences into circular plasmids using Q5 site-directed mutagenesis (SDM). This skill should be used when tasks involve inserting sequences into plasmids, designing primers for Q5 SDM insertions, or converting an input plasmid to an output plasmid with additional sequence. The skill provides workflows for understanding Q5 SDM mechanics, proper primer design with annealing regions, Tm calculation, and critical verification strategies.
A comprehensive DnD campaign and adventure creation skill for game masters and creative content creators. Helps design complete campaigns, adventures, NPCs, encounters, maps, and storylines tailored for tabletop play. Use this when designing D&D content, creating campaign worlds, developing adventure hooks, designing encounters, or building narrative structures for player tables.
Deep expertise for documentation lifecycle orchestration. Quality assessment frameworks, workflow patterns, delegation protocols, and release checklists. Auto-loads for doc-expert agent.
Format documentation with emojis, status bars, and versioning matrix. Use when creating or updating README files, documentation, specs, or any markdown files.
Reference for The Fold's typed comments and doc forms system. Use when adding type annotations, documentation, todos, or other metadata to Scheme code. Covers (doc ...) syntax, standard tags, search commands, and type checker integration.
Generate comprehensive, accurate API documentation from source code. Use when creating or updating API documentation, generating OpenAPI specs, or when users mention API docs, endpoints, or documentation.
This skill enables systematic, parallelized analysis of documentation using multiple specialized agents. It maximizes throughput by running independent sections in parallel while respecting dependenci
Locate and retrieve specific documentation sections from DiPeO's docs/ by heading anchors or keywords. Returns minimal, targeted excerpts instead of full files. Use when you need precise documentation context without loading entire guides.
Documentation lifecycle management skill. Activates when user mentions documentation, docs, sync, quality, validation, releases, or setup. Routes to appropriate agent (doc-expert for orchestration, doc-writer for content) and provides gentle reminders about documentation health.
Efficiently navigate codebase documentation during Research phase. Use instead of Grep/Glob for finding architectural decisions, feature specs, and technical docs. Maps topics to doc locations for fast context retrieval. If codebase lacks documentation structure, provides patterns to establish one.
Apply Progressive Disclosure principles to organize large documentation projects. Restructure docs into hierarchical structure, reduce token usage by 95%+, and create README files for navigation.
Token-efficient documentation search using Serena Document Index. 90%+ token savings vs reading full files. Use BEFORE reading README.md or docs/ files. Triggers on architecture questions, pattern lookups, and project-specific documentation needs.
Meta-skill for converting external documentation into Claude Agent Skills with proper YAML frontmatter and structured instructions following the official specification.
Updates documentation after code changes to keep docs in sync with code reality. Use AFTER implementation is complete. Covers feature docs, workflow docs, and index files.
Use when user asks about 'documentation workflow', 'how to document', 'doc system', 'what is llmdoc', 'how does llmdoc work', or needs guidance on the documentation system.
DocETL is a system for creating LLM-powered data processing pipelines. This skill helps you build end-to-end pipelines: from data preparation to execution and optimization.
SOTA Docker/Compose architecture, implementation, refactor, and security hardening. Use when working on containerization tasks such as creating or rewriting Dockerfiles, docker-compose files, buildx/bake configs, .dockerignore, and CI pipelines for build/test/scan/publish; auditing existing container setups for security, correctness, size/perf, and best practices (least privilege, non-root, minimal images, pinned base images, BuildKit secrets, healthchecks); debugging Docker build/run issues; or designing dev vs prod compose workflows across services (DB/cache/queues) with correct networking, volumes, secrets, and resource limits.