sdd-modify
Apply spec modifications systematically. Use to apply review feedback, bulk modifications, or interactive spec updates with safety checks, validation, and rollback support.
sdd-render
Render JSON specs to human-readable markdown with AI-enhanced insights, visualizations, and progressive disclosure
sdd-validate
Validate SDD JSON specs, auto-fix common issues, generate detailed reports, and analyze dependencies.
sdd-update
Progress tracking for spec-driven development. Use to update task status, track progress, journal decisions, move specs between folders, and maintain spec files. Handles the administrative/clerical aspects of specification documents during development.
sdd-pr
AI-powered PR creation after spec completion. Analyzes spec metadata, git diffs, commit history, and journal entries to generate comprehensive PR descriptions with user approval before creation.
sdd-plan
Plan-first development methodology that creates detailed specifications before coding. Use when building features, refactoring code, or implementing complex changes. Creates structured plans with phases, file-level details, and verification steps to prevent drift and ensure production-ready code.
sdd-plan-review
Multi-model consultation for SDD specifications providing structured feedback. Coordinates parallel AI reviewers, synthesizes actionable insights, and categorizes findings by feedback type without modifying specs or executing fixes.
sdd-next
Task preparation skill for spec-driven workflows. Reads specifications, identifies next actionable tasks, and creates detailed execution plans. Use when ready to implement a task from an existing spec - bridges the gap between planning and coding.
sdd-fidelity-review
Review implementation fidelity against specifications by comparing actual code to spec requirements. Identifies deviations, assesses impact, and generates compliance reports for tasks, phases, or entire specs.
run-tests
Comprehensive pytest testing and debugging framework. Use when running tests, debugging failures, fixing broken tests, or investigating test errors. Includes systematic investigation workflow with external AI tool consultation and verification strategies.
llm-doc-gen
LLM-powered documentation generation for narrative architecture docs, tutorials, and developer guides. Uses AI consultation to create contextual, human-readable documentation from code analysis and spec data.
doc-query
Targeted query capabilities for machine-readable codebase documentation with cross-reference tracking, call graph analysis, and workflow automation. Enables fast lookups of classes, functions, dependencies, and function relationships without parsing source code.
brand-guidelines
Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.
postgresql-skill
This skill provides PostgreSQL-specific patterns for database design, optimization, and transaction management
orchestrator
Use when managing agent state transitions (START/INIT/IMPLEMENT/TEST/COMPLETE), triggering context compression at 80% capacity, or handling session lifecycle. Load at session start, on state change, or when context exceeds threshold. Core skill for single-orchestrator architecture.
context-graph
Use when storing decision traces, querying past precedents, or implementing learning loops. Load in COMPLETE state or when needing to learn from history. Covers semantic search with Voyage AI embeddings, ChromaDB for cross-platform vector storage, and pattern extraction from history.
two-agent-harness
This skill sets up a complete two-agent development system based on the "Effective Harnesses for Long-Running Agents" research. It creates initializer-agent (for project planning) and coding-agent (for incremental implementation), along with enforcement hooks and progress tracking infrastructure. Use when users ask to "set up two-agent system", "install agent harness", "configure Opus delegation", or want to implement the two-agent architecture pattern.
mcp-builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
tufte-slide-design
This skill applies Edward Tufte's data visualization principles from "The Visual Display of Quantitative Information" to create high-impact slides. Use when designing presentations, creating charts/graphs, reviewing slides for clarity, or transforming data into visual displays. Triggers on phrases like "make a slide", "create presentation", "design chart", "visualize data", "review my slides", or "make this more impactful".
token-efficient
Use when processing 50+ items, analyzing CSV/log files, executing code in sandbox, or searching for tools. Load for data processing tasks. Achieves 98%+ token savings via in-sandbox execution, progressive disclosure, and pagination. Supports heredocs for multi-line bash.
theme-factory
Toolkit for styling artifacts with a theme. These artifacts can be slides, docs, reportings, HTML landing pages, etc. There are 10 pre-set themes with colors/fonts that you can apply to any artifact that has been creating, or can generate a new theme on-the-fly.
testing
Use when running tests to validate implementations, collecting test evidence, or debugging failures. Load in TEST state. Covers unit tests (pytest/jest), API tests (curl), browser tests (Claude-in-Chrome), database verification. All results are code-verified, not LLM-judged.
terminal-ui-design
Use when creating CLI tools, terminal user interfaces (TUI), or any command-line applications. Load for terminal UI design, ASCII art, color schemes, box drawing characters, and polished terminal output. Also use for refactoring boring CLIs into distinctive experiences.
skill-creator
Use when creating a new skill, updating an existing skill, or learning skill best practices. Load for extending Claude's capabilities with specialized workflows, tool integrations, or domain expertise. Covers skill anatomy, progressive disclosure (98% token savings), and the critical description-as-trigger pattern.
scroll-storyteller
Use when creating interactive scroll-based storytelling experiences with mouse-following spotlight effects, animated SVG art, and the Anthropic design language. Load for explainer pages, product showcases, visual narratives, or any content needing immersive scroll storytelling with organic shapes and smooth animations. Supports GSAP-powered or lightweight CSS-only animations.
project-hook-setup
Use when setting up project-specific hooks for Claude Code enforcement. Load during INIT state when .claude/hooks/ is missing, or when creating new project. Installs 5 hooks that read from .claude/config/project.json (tests, health, dependencies).
mcp-setup
Use when setting up MCP servers for the first time or verifying MCP configuration. Ensures token-efficient and context-graph MCP servers are properly installed and configured with API keys.
initialization
Use when starting a new session without feature-list.json, setting up project structure, or breaking down requirements into atomic features. Load in INIT state. Detects project type (Python/Node/Django/FastAPI), creates feature-list.json with priorities, initializes .claude/progress/ tracking.
implementation
Use when implementing features from feature-list.json, writing code following project patterns, or using MCP tools efficiently. Load in IMPLEMENT state. Covers coding patterns, test writing, health checks, and token-efficient MCP usage (defer_loading for 85% savings).
global-hook-setup
Use when setting up global hooks for Claude Code enforcement. Load when ~/.claude/hooks/ is missing or incomplete, or when explicitly requested. Installs 7 project-agnostic hooks (state transitions, git hygiene, outcome tracking). Run once per machine.
full-stack-debugger
This skill should be used when debugging full-stack issues that span UI, backend, and database layers. It provides a systematic workflow to detect errors, analyze root causes, apply fixes iteratively, and verify solutions through automated server restarts and browser-based testing. Ideal for scenarios like failing schedulers, import errors, database issues, or API payload problems where issues originate in backend code but manifest in the UI.
duotone-identity
Use when designing app pages, typography, spacing, or any UI look and feel for the Identity Platform. Load for creating landing pages, chapter sections, SVG illustrations, or applying the duotone cream/charcoal design system. Keywords: design, ui, styling, theme, colors, layout
browser-testing
Use when testing web applications, debugging browser console errors, automating form interactions, or verifying UI implementations. Load for localhost testing, authenticated app testing (Gmail, Notion), or recording demo GIFs. Requires Chrome extension 1.0.36+, Claude Code 2.0.73+, paid plan.
enforcement
Use when implementing hooks that BLOCK invalid actions, creating quality gates for state transitions, or enforcing tested:true verification. Load when designing enforcement mechanisms. Uses exit code 2 to block, JSON permissionDecision:deny, or updatedInput modification. Rules are instructions; hooks are enforcement.
async-programming-skill
This skill provides async/await patterns and best practices for concurrent programming
claude-md-creator
Use when creating CLAUDE.md files, updating existing CLAUDE.md, validating CLAUDE.md structure, or auto-fixing CLAUDE.md issues. Load for setting up project instructions, global guidelines, local overrides, or modular rules. Handles global (~/.claude/CLAUDE.md), project (.claude/CLAUDE.md), local (CLAUDE.local.md), and rules (.claude/rules/*.md) with smart project detection and template generation.
determinism
Use when verifying outcomes with code instead of LLM judgment, versioning prompts with hashes, or ensuring reproducible agent behavior. Load for any critical verification. Scripts return boolean exit codes, not subjective assessments. Prompts use semantic versioning with SHA256 validation.
applying-brand-guidelines
This skill applies consistent corporate branding and styling to all generated documents including colors, fonts, layouts, and messaging
gemini-consultant
Get a second opinion from Gemini 3 Pro (gemini-3-pro-preview). Accepts text, code, and images as INPUT. Returns TEXT analysis, advice, and feedback. Use for code review, analyzing screenshots, UX feedback, debugging, architecture review, or web search.
nano-banana-pro
Generate images using Google's Nano Banana Pro (gemini-3-pro-image-preview). Accepts text prompts and optionally images (for editing/transformation) as INPUT. Returns generated IMAGES as OUTPUT. Use when user asks to create, generate, edit, or draw images, infographics, visualizations, diagrams, charts, or illustrations. Excellent for data-accurate infographics and text rendering.
epistemic-cognitive-guardrails
Discipline epistemique stricte pour eliminer les derives cognitives de Claude. Activation SYSTEMATIQUE sur TOUTES les conversations. Impose: (1) Zero invention/supposition, (2) Honnetete absolue, (3) Vision holistique avec relecture du contexte, (4) Questions plutot que suppositions, (5) Remise en contexte perpetuelle avec checkpoints structures, (6) Documentation incrementielle sans doublons, (7) Vigilance workflow/CI-CD/securite, (8) TODO/plan obligatoire avant tout travail, (9) Documentation FR/EN scholar style signee Julien GELEE, (10) Zero credentials/API keys/donnees sensibles en clair. Posture ingenieur generaliste specialise IA.
healthsim-networksim
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healthsim-populationsim
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healthsim-trialsim
Generate realistic clinical trial synthetic data including study definitions, sites, subjects, visits, adverse events, efficacy assessments, and disposition. Use when user requests: clinical trial data, CDISC/SDTM/ADaM datasets, trial cohorts (Phase I/II/III/IV), FDA submission test data, or specific therapeutic areas like oncology or biologics/CGT.
healthsim-rxmembersim
RxMemberSim generates realistic synthetic pharmacy data for testing PBM systems, claims adjudication, and drug utilization review. Use when user requests: (1) pharmacy claims or prescription data, (2) DUR alerts or drug interactions, (3) formulary or tier cohorts, (4) pharmacy prior authorization, (5) NCPDP formatted output.
healthsim-membersim
MemberSim generates realistic synthetic claims and payer data for testing claims processing systems, payment integrity, and benefits administration.
healthsim-patientsim
Generate realistic clinical patient data including demographics, encounters, diagnoses, medications, labs, and vitals. Use when user requests: (1) patient records or clinical data, (2) EMR test data, (3) specific clinical cohorts like diabetes or heart failure, (4) HL7v2 or FHIR patient resources.
Generative Framework
Conversation-driven specification and execution of healthcare data generation at scale
spanish-cooking-expert
Comprehensive expertise in Spanish cuisine, from traditional tapas to modern paella techniques, regional specialties, and authentic ingredient selection
article-recommender
Generate three-version article recommendations (standard, concise, and personal commentary) in both Chinese and English for BestBlogs.dev weekly newsletter. Use when users request article recommendations，推荐语，推荐理由，or ask to write recommendations for newsletter content. Triggered by phrases like "帮我编写推荐理由", "生成推荐语", "write a recommendation", or when presenting curated content.
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