공개 Claude Code 마켓플레이스의 플러그인 63개입니다. 각 플러그인은 함께 설치되는 스킬, 슬래시 명령, 에이전트, 훅 또는 MCP 서버를 묶습니다.
필터와 일치하는 63개의 플러그인을 표시합니다.
claude-code-skillsalirezarezvani/claude-skills2
trailofbitstrailofbits/skills2
pm-skillsphuryn/pm-skills1
tencent-cloudbaseTencentCloudBase/CloudBase-AI-Toolkit1.claude-plugin/marketplace.json이 포함된 repo를 제출하면 모든 plugin을 목록에 추가합니다.
marketplace 제출Eval-gated LLM fine-tuning lifecycle (LoRA/QLoRA, DPO, GRPO/RLVR, vision SFT, quantized export). Use when fine-tuning an open-weights model end-to-end: building the eval harness first, selecting method and model, preparing data, training with Unsloth or TRL, gating checkpoints, and exporting GGUF/FP8.
Per-deal-and-packaging Commercial domain. v2.8.0 ships 8 skills: orchestrator + pricing-strategist (model picker + Van Westendorp WTP + packaging) + deal-desk (deal scorer + discount approval routing + redline) + partnerships-architect (5-tier classifier + joint GTM + revshare modeler) + channel-economics (cost-to-serve + ROI + mix optimizer) + commercial-policy (data-backed discount matrix + exception flow + linter) + rfp-responder (Shipley structured RFP/RFI/RFQ + win-theme + winrate predictor, context: fork) + commercial-forecaster (4Q-weighted bookings + cohort NRR/GRR + funnel-confidence with mandatory assumption disclosure). Hard rules: pricing outputs model+range (never a single number), deal outputs route to named human approver (never auto-approve), forecast outputs surface conversion assumption, RFP never invents claims for GAP requirements. 21 stdlib Python tools, 28+ reference docs. Distinct from business-growth (sales execution), c-level-advisor/cro-advisor (strategic), fi
ETL pipeline construction, data warehouse design, batch processing workflows, and data-driven feature development
Database operations management for FairDB PostgreSQL clusters
Database query optimization, cloud cost optimization, and scalability improvements
Database migration automation, observability, and cross-database migration strategies
Data analytics skills for PMs: SQL query generation and cohort analysis. Analyze user data, generate queries, and identify retention patterns.
Human-verification gate for an agent loop: builds a single-file review page (the page itself makes no network request; a reviewed HTML artifact's own https: assets still load), collects batched feedback as structured batch.v1 data instead of chat prose, and refuses to close while a BLOCKER is open, the reviewer is unnamed, or nobody has reviewed. Non-blocking, headless-guarded, round-capped. Stdlib-only.
CloudBase platform capabilities: AI, auth, databases, cloud functions, storage, CloudRun, and Mini Program integration.
Firestore database specialist for schema design, queries, and real-time sync
Search and extract data from Burp Suite project files (.burp) for security analysis
Scan Android APKs for Firebase security misconfigurations including open databases, storage buckets, authentication issues, and exposed cloud functions. For authorized security research only.
Design data, retrieval, AI runtime, model tooling and agent operations.
Monte Carlo Agent Toolkit — data observability skills and enforcement hooks for AI coding agents.
Generate realistic test data and database seed scripts for development and testing environments
Automate database backups with scheduling, compression, encryption, and restore procedures
Implement and optimize database connection pooling for improved performance and resource management
Analyze query patterns and recommend optimal database indexes with impact analysis
Manage database migrations with version control, rollback capabilities, and automated schema evolution tracking
Manage database replication, failover, and high availability configurations
