mcp-grafana
Query dashboards/logs/alerts to support incident analysis and regressions. Use when troubleshooting involves observability, incidents, latency, error rates.
Browse published AI skills maintained by janjaszczak. Compare skill descriptions and follow each source repository for setup instructions.
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Query dashboards/logs/alerts to support incident analysis and regressions. Use when troubleshooting involves observability, incidents, latency, error rates.
Use GitHub MCP for issue/PR context, diffs, reviews, and automations. Use when the task references PR/issue numbers, review requests, or requires repo metadata beyond local git.
Combine Shrimp task tracking with execution loops (plan → execute → verify → update status). Use for multi-step deliveries where progress tracking matters.
Plan, split, and track multi-step work using Shrimp Task Manager MCP (or equivalent). Use for multi-file refactors, migrations, or any work that benefits from task tracking.
Build or modify plain HTML/CSS/JavaScript (no framework) using modular ES modules (ESM), SRP, minimal global state, and shippable runnable files with lightweight verification. Use for static pages, small UI wid...
Implement or refactor data import/parsing so it streams files sequentially (memory-safe), validates/coerces types explicitly, skips irreparable records while logging them to an error CSV (full original columns...
Enforce SOLID design principles during code generation, refactors, and code review (SRP/OCP/LSP/ISP/DIP). Use when changing architecture, introducing new abstractions, reducing coupling, eliminating type-switch...
Enforce consistent Python typing (type hints + return types), concise Google-style docstrings, PEP 8/Black formatting, and unit tests when creating or editing Python code. Use when working on .py files, Python...
Ensure commands and paths are safe across Windows + WSL + Docker (PowerShell vs bash, path translation, permissions). Use when instructions touch shell, filesystem, Docker, or OS-specific behavior.
FastAPI + Pydantic v2 backend workflow: implement/modify API endpoints with thin handlers + service layer, add pytest tests, manage idempotent Alembic migrations, and implement streaming ETL/parsers with invali...
Use Postman MCP to inspect/maintain collections, environments, and API workflows; generate or validate requests and tests. Use when API verification or collections are the source of truth.
Execute end-to-end migrations and consolidate docs/scripts (remove dead files, keep canonical runbooks). Use when changing runtime model, reorganizing repo, or doing “repo cleanup”.
Conduct deep, source-grounded research with freshness checks and citations, then synthesize an actionable answer. Use for time-sensitive, niche, or high-stakes topics; when the user asks to “zweryfikuj”, “zrób...
Provide structured outputs (plan/report/checklist/table) optimized for readability and reuse. Use when user requests a plan, report, checklist, template, or when high-risk requires explicit verification steps.
Apply enhanced verification (CoVe-like review, security/arch/perf checks, targeted web research) for high-risk tasks or uncertainty. Use for security, infra, data loss risk, major refactors, or when facts may b...
Use Apify Actors for scraping/data acquisition pipelines. Use when data collection from websites is required and needs repeatable runs.
Produce a reviewable, file-referenced implementation plan that acts as a contract before execution. Use for risky ops, architecture changes, migrations, multi-file edits.
Ground answers in the repository by reading relevant files, configs, and code paths. Use when the user asks to modify/debug code, configuration, CI/CD, or wants repo-specific reasoning.
Use browser automation MCP (Playwright/Browser/Browser-Use) to validate UI flows, capture screenshots, and reproduce issues. Use when visual verification or web flow testing is needed.
Next.js App Router frontend stack workflow: Server Components-first, Prisma server-only (Node runtime), Tailwind + shadcn/ui, TanStack Query, React Hook Form + Zod, and conventions for work under frontend/. Use...
Perform root-cause analysis for bugs/errors/regressions using logs, repro steps, and hypothesis testing. Use when the user reports “nie działa”, stack traces, failing tests, or regressions.
Recall and reuse prior decisions, constraints, and artifacts using MCP memory (e.g., Neo4j). Use when the user references past work (“jak ostatnio”, “kontynuuj”), when resuming a project thread, or when a repea...
Use Neo4j memory MCP for creating/updating linked memories (entities, relations), de-duplication (DRY), and retrieval queries for project continuity. Use when saving global learnings or querying graph relations...
Create custom subagents for specialized AI tasks. Use when the user wants to create a new type of subagent, set up task-specific agents, configure code reviewers, debuggers, or domain-specific assistants with c...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.