MCP servers and skills: search, filter by where they run, and compare.
Nothing matches every word exactly, so these are the closest matches.
Autonomous CI/CD build failure diagnosis & self-healing patch generator
SkillLink only★ 8
A knowledge base of sourced corporate failure case studies, packaged as a Claude Code skill, to pattern-match your company's decisions against real failure mechanisms.
SkillLink only★ 1Few stars
Real-time webhook failure triage & root cause analyzer (HookLens style)
SkillLink only★ 8
Raw-Materials-Classification: A Basics of AI Skills course project for classifying raw materials using ML techniques, including data preprocessing, feature engineering, and model evaluation.
SkillLink only★ 4Few stars
Startup failure diagnosis agent skill distilled from 1100+ failed startup case studies
SkillLink only★ 1Few stars
GenPark AI Agent Skill - Distilled capability for reliable agent workflows.
SkillLink only★ 8
제품명을 통한 대표 원재료명을 획득하기 위한 데이터 분석 및 분류 ML을 개발합니다.
SkillLink only★ 1Few stars
A CDK stack that creates an Amazon Bedrock AgentCore MCP gateway with Cognito authentication and support for multiple integration targets, including JIRA.
MCPLink onlyFew stars
Use when a user asks to debug or fix failing GitHub PR checks that run in GitHub Actions; use `gh` to inspect checks and logs, summarize failure context, draft a fix plan, and implement only after exp
OfficialSkillLink only★ 28k in collection
186 production post-mortems from an 8-month multi-session AI agent system, sold per call over x402
MCPLink onlyFew stars
Post-train LLM search agents with Direct Preference Optimization (DPO) so they express calibrated uncertainty and trigger re-search under ambiguous retrieval — instead of hallucinating confidently.
MCPLink only★ 2Few stars
8-phase evidence pipeline for Playwright, pytest, Jest, Cypress, Newman, k6, and JUnit failures. Scans git history, application logs, and config to produce confidence-scored root-cause hypotheses. Exp
SkillLink only★ 1Few stars
Train ML models on Databricks. Use for: classification/regression/deep-learning (XGBoost, scikit-learn, LightGBM, PyTorch) with Optuna, @prod/@challenger aliases, batch scoring (spark_udf for plain mo
OfficialSkillLink only★ 347 in collection
Document image retrieval via MCP or API for agentic systems using semantic embeddings, YOLO, and VLM classification.
MCPLink only★ 4Few stars
MCP server in Go for LLM-powered (Jev) classification of text, local files, and line ranges using custom criteria.
MCPLink onlyFew stars
The ETIM classification model as clean JSON — convert, validate, generate TypeScript types, search, and serve to AI agents over MCP. Ships no ETIM data.
MCPLink onlyFew stars
Semi-supervised Label Propagation Algorithm (LPA) for graph node classification and community clustering
SkillLink only★ 7
Semi-supervised Label Propagation Algorithm (LPA) for graph node classification and community clustering
SkillLink only★ 7
MCP-Server for hierarchical classification systems in official statics like COICOP, SEA or NACE
MCPLink only★ 4Few stars
LLM-based HFACS classification of ASRS aviation incident reports. Includes experimental data processing, classification models, evaluation methods, and MCP server for data access.
MCPLink only★ 2Few stars
Failure-driven browser AI orchestration: long-run evidence, failure cases, and progress-first coordinator playbooks for Codex, DOT, and Muse.
MCPLink only★ 1Few stars
Agent skills powered by the Zentropi content classification engine
SkillLink only★ 8
Failure intelligence and shared debugging memory for AI coding agents
MCPLink onlyFew stars
Sparse classification with positive-confidence data: Lasso, SCAD, MCP
MCPLink onlyFew stars
Who stands behind it
