spec-test-driven-development
Defines complete workflow from specification through testing to implementation.
specifying-requirements
Use when writing or updating spec.yaml files. Defines requirement format and user story structure.
test-driven-development
Use when writing tests or implementing code. Defines RED-GREEN-REFACTOR cycle and test execution workflow.
update-dependencies
Use when updating existing pinned dependencies. Defines unpin-resolve-repin workflow with test verification and rollback on failure.
write-commit-message
Use when creating git commits. Defines conventional commit format and message structure guidelines.
install-dependencies
Use when adding project dependencies. Defines dependency management rules and language-specific patterns.
error-handling
Use when writing, reviewing, or refactoring a try/except (or try/catch) block, or any edge-case branch guarding against a failure. Defines when to add a handler, when to remove one, and how to justify keeping it.
format_validation
Comprehensive validation of FTD analysis output files. Checks JSONL format, field completeness, score validity, and structural requirements for TALD scale evaluations.
sharepoint-audit
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conventional-commit
Generate commit messages by analyzing git diff following Conventional Commits format. Use when user says "commit", "commit my changes", "write a commit message", "what should I commit as", needs help describing changes, or is about to commit without a message.
trip-reconstruction
Fill gaps between checkpoints using hybrid GPS (70%) + address (30%) template matching with high confidence
checkpoint-from-receipt
Create checkpoints from receipt photos using QR scanning, e-Kasa API, and GPS extraction (10-40s)
report-generation
Generate Slovak VAT Act 2025 compliant reports for business trip tax deductions with automatic validation
vehicle-setup
Guide users through Slovak VAT Act 2025 compliant vehicle registration with VIN validation
template-creation
Create recurring trip templates with mandatory GPS coordinates for 90%+ accuracy automatic matching
new-skill
Scaffold a new published skill under skills/ with spec-compliant frontmatter, then validate it and regenerate the README index.
wcag-compliance-reviewer
Reviews HTML/CSS and React code for WCAG 2.2 Level AA violations. Provides targeted fixes for each accessibility issue found. Use when the user asks to check WCAG compliance or audit accessibility.
verify
Runtime-verify a change to a published skill in this repo by driving its script as a CLI and running its SKILL.md steps as a fresh agent. Repo-local tooling, not a published skill.
agentic-memory-management
Audits and optimizes CLAUDE.md project memory files. Checks adherence to Claude Code best practices and produces actionable fixes. Use when the user asks to audit, optimize, or diagnose a CLAUDE.md.
code-review-agent
Reviews code for bugs, security issues, and breaking changes. Produces prioritized findings on quality, vulnerabilities, and regressions. Use when asked to review code or check a PR diff.
code-testing-agent
Suggests purpose-driven tests tied to actual behavior. Writes test files covering untested paths and behavior gaps in the codebase. Use when the user asks to suggest tests or find untested behavior.
deep-grill
Stress-tests plan decisions node-by-node with focused questions. Walks each decision point surfacing assumptions and weak spots. Use when the user asks to deep grill or stress-test a plan.
optimizing-agent-context
Optimizes what a project loads into every coding-agent session. Counts which skills, plugins, slash commands, and subagents past sessions actually invoked, prunes the rest from the load set, then tightens CLAUDE.md against the same data by deleting dead references, replacing ignored always-do rules with hooks, and pinning the skills that carry the dev cycle in a short table. Use when the user asks to optimize their agent setup or project context, prune unused skills or plugins, audit skill usage, or slim down CLAUDE.md.
plan-status
Writes lifecycle status into a plan's frontmatter, one file or a directory. Inspects codebase and git history for accurate dates. Use when asked to check or update plan status.
planning-skills
Scaffolds a new skill with SKILL.md and supporting files. Walks a structured workflow covering frontmatter, body, references, and scripts. Use when the user asks to plan or scaffold a new skill.
reviewing-skills
Scores SKILL.md files across 5 quality dimensions. Audits against the Agent Skills open standard's authoring best practices and optionally generates a fix. Use when the user asks to review, audit, or score a skill.
reviewing-tests
Audits tests for quality, coverage, and code alignment. Identifies gaps, redundant tests, and misaligned assertions. Use when the user asks to review, audit, or improve a test suite.
running-tests
Detects the test framework and runs scoped tests. Reports pass/fail results with output and identifies failing assertions. Use when the user asks to run tests, check if tests pass, or verify changes.
security-scrub
Scans code and diffs for secrets and sensitive data. Detects credentials, tokens, and PII to prevent leaks before sharing. Use when the user asks to check for secrets or review a diff for leaks.
tdd-fix
Fixes bugs via TDD with up to 10 red-green iterations. Writes a failing test then autonomously iterates until the bug is resolved. Use when the user asks to TDD-fix a bug or run a red-green cycle.
realitykit-ar-companion
Comprehensive RealityKit skill optimized for building AR companion experiences on iOS and visionOS, with character animation, body/hand tracking, AI integration patterns, spatial audio, and entity lifecycle management
outlook-calendar
Read Outlook calendar events via ICS subscription. Use when user asks about meetings, schedule, calendar, appointments, or availability.
frontend-designer
Expert front-end design critique, refinement, and polish for existing interfaces. Use this skill when the user asks for a design pass, visual polish, design critique, aesthetic improvements, or UI refinement on existing code or interfaces. Works with React artifacts, full websites, and any frontend framework. Generates colour palettes and typography from scratch. Focuses on visual aesthetics, micro-interactions, and avoiding generic AI aesthetics. Complementary to tech-building skills—use after functionality is built.
creative-director
Strategic creative direction for brand identity, design systems, and visual strategy. Use when creating brand guidelines, design system documentation, visual identity, mood/aesthetic direction, or any upstream creative work that will inform implementation. Produces documentation, style guides, and implementation briefs for Claude Code - not code itself. Sits upstream of frontend-design and frontend-designer skills. Triggers include requests for branding, visual identity, design systems, style guides, aesthetic direction, look-and-feel, or creative strategy.
prompt-improver
This skill enriches vague prompts with targeted research and clarification before execution. Should be used when a prompt is determined to be vague and requires systematic research, question generation, and execution guidance.
generate-apis
基于 yapi mcp 返回的数据生成对应的 API 文件
apple-reminders
Access to Apple Reminders. PROACTIVELY USED when the user wants to see, add, complete, edit, move, or delete reminders or tasks. macOS only.
visualize-parsed-spatial-omics-metadata
Create an interactive HTML viewer to visualize and verify parsed metadata against source documents.
agent-memory
Persistent memory system for AI agents with semantic, episodic, and procedural memory types. Use when users want to (1) remember facts, preferences, or context across sessions, (2) track interaction history and experiences, (3) store reusable workflows or procedures, (4) build personalized agents that learn from conversations, or (5) implement any form of long-term memory for AI applications.
performance-analysis
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
prompt-engineering-patterns
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.
ReasoningBank with AgentDB
Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems.
equilateral-agents-refactored
Multi-agent orchestration system sử dụng Claude subagents thực tế từ thư mục agents/ cho security reviews, code quality analysis, deployment validation, infrastructure checks. Auto-activates với orchestrator-worker pattern và extended thinking mode.
ReasoningBank Intelligence
Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cognitive systems.
error-tracking
Add Sentry v8 error tracking and performance monitoring to your project services. Use this skill when adding error handling, creating new controllers, instrumenting cron jobs, or tracking database performance. ALL ERRORS MUST BE CAPTURED TO SENTRY - no exceptions.
AgentDB Advanced Features
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
AgentDB Performance Optimization
Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.
AgentDB Vector Search
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.
backend-dev-guidelines
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repomix
Package entire code repositories into single AI-friendly files using Repomix. Capabilities include pack codebases with customizable include/exclude patterns, generate multiple output formats (XML, Markdown, plain text), preserve file structure and context, optimize for AI consumption with token counting, filter by file types and directories, add custom headers and summaries. Use when packaging codebases for AI analysis, creating repository snapshots for LLM context, analyzing third-party libraries, preparing for security audits, generating documentation context, or evaluating unfamiliar codebases.
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