원클릭으로
claude-marketplace
claude-marketplace에는 dlabs에서 수집한 skills 20개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.
이 저장소의 skills
Production A/B testing lifecycle for design variants. Covers hypothesis formation, feature flags, variant comparison, analytics tracking, statistical significance analysis, experiment setup, and cleanup.
Browser automation using Vercel's agent-browser CLI. Use when you need to interact with web pages, fill forms, take screenshots, or scrape data. Uses Bash commands with ref-based element selection. Triggers on "browse website", "fill form", "click button", "take screenshot", "scrape page", "web automation".
Multi-agent architecture review combining core architecture design with parallel security, performance, and data integrity assessments. Produces ADRs in MADR format. Covers ADR, architecture decision, system design, scalability assessment. Not for code review or implementation — for architectural decisions only.
Reference for how the built-in /batch command integrates with blueprint-dev workflows — parallel codebase-wide changes using worktrees with project context.
Analyzes detected stack profiles and suggests targeted CLAUDE.md improvements. Covers CLAUDE.md improvement, project configuration, AI instructions. Never auto-writes to CLAUDE.md — stages suggestions for user review.
Problem documentation methodology for compounding team knowledge. Captures solved problems with structured metadata for searchability, pattern detection, and prevention. Covers postmortem, lessons learned, debugging documentation, solved problem capture. Not for general documentation — specifically for post-debugging problem capture.
Run evaluation suites against blueprint-dev skills. Benchmarks skill performance, tracks pass rates, and validates skill quality after changes.
Git worktree management for isolated parallel development. Handles creating, listing, switching, and cleaning up worktrees with interactive confirmations, automatic .env copying, and .gitignore management. Follows KISS principles.
Fast-lane planning for bug fixes, UI tweaks, and features under 600 LOC. Scope triage, adaptive process, right-sized ceremony. Use for small-to-medium changes that don't need full requirements decomposition.
Full planning framework for complex features needing requirements decomposition, research, and scope analysis. For tasks with 15+ files, 5+ endpoints, architecture decisions, or security concerns. Templates for PRD, spec, and scope documents.
End-to-end pull request lifecycle reference. Ties together branch creation, implementation, /simplify, code review, and merge following trunk-based-dev rules.
Reference for how the built-in /simplify command integrates with blueprint-dev workflows — when it runs, what it checks, and how it complements review agents.
Detects project technology stacks by analyzing package manifests, config files, directory structures, and code patterns. Produces a structured stack profile for agent adaptation. Covers technology detection, framework identification, project type analysis.
Orchestration patterns for multi-agent team workflows — team definitions, sequencing rules, result aggregation, conflict resolution. Covers multi-agent coordination, parallel agents, team workflow.
Trunk-based development practices with short-lived branches, feature flags, small PRs, and continuous integration. Enforced via hooks and agents.
Framework for building behavioral clones (digital twins) of third-party services. Covers API surface replication, state machines, chaos injection, and twin composition for validating at volumes and rates impossible against live services.
Framework for measuring, aggregating, and trending satisfaction scores across scenarios. Covers LLM-as-judge methodology, trajectory evaluation, threshold configuration, comparison analysis, and reporting.
Framework for authoring, structuring, and managing scenarios — end-to-end user stories validated probabilistically by LLM-as-judge. Covers the holdout principle, scenario anatomy, versioning, composition, and anti-reward-hacking patterns.
Code-first design exploration workflow. Product Planning → Section Design → Brand (optional) → Explore (HTML variants) → Refine → Decide (extract tokens) → Ship (Next.js components). Covers section screen design, brand discovery, variant generation, iterative refinement, token management, and production conversion.
Guided product planning workflow. Define your product (overview + roadmap), model data entities, specify the app shell, and create feature sections — all through interactive conversation that produces viewer-compatible structured markdown.