Skill UI

This skill helps maintainers verify reported bugs in the mcp-toolbox project. It involves analyzing issue reports, checking versions and configurations, and attempting local reproduction to determine if the bug is real, fixed, or misconfigured. The process requires citing specific evidence like file paths and commit SHAs to support verdicts such as confirmed, already-fixed, or client-side issues. It ensures efficient bug triage without unnecessary infrastructure setup.

Sweeps googleapis/mcp-toolbox for issues and PRs with no real activity in N days, classifies each silence as the author's, maintainer's, or nobody's, and drafts nudge or close comments for maintainer review only.

Generate and cut videos against a distilled style pack: plan takes, generate with fal, apply measured LUT grading, edit at cadence, weave footage, composite overlays, mint 3D props, and verify results numerically.

Apply pragmatic programming rules inspired by Hunt and Thomas to improve engineering judgment, feedback loops, DRY knowledge, orthogonality, automation, and adaptability. Use this skill for design and code decisions requiring pragmatic engineering tradeoffs.

Interviews an unshaped idea into a verdict and a design document with literal decisions for tlc-plan. Use for problem exploration, discovery, feasibility checks, and deciding whether to build before planning implementation.

This skill extracts a checklist from planned work, builds the implementation, and verifies every check with an independent verifier. It is used when the user requests to extract a checklist, build a ticket, or implement a spec. It ensures rigorous testing and proof-based assertions, preventing self-reporting of completion. It involves extracting checks, building the code, and proving each one independently to guarantee quality.

Turn a PRD, design doc, RFC, or thread into actionable tasks. Finds observable slices, grounds them in code, writes intent and criteria, and flags unresolved gaps. Use for task planning, not discovery or implementation.

This skill implements a spec-driven feature workflow that freezes obligations before coding. It involves creating a human-reviewed plan with EARS criteria, defining checks with proof-backed tests, building the feature, and verifying with an independent agent. It ensures correctness over task breakdown and prevents requirement drift. Use for feature specification and verification, not standalone design docs.

Work with Outpost Bio's open microbiome foundation models: embed taxonomic profiles, fine-tune Waypoint checkpoints, benchmark on Compass, pretrain on Atlas, and convert MetaPhlAn, Kraken2, QIIME 2, or MGnify tables via the waypoint CLI.

Apply Michael Feathers-inspired rules to safely modify hard-to-test legacy code using characterization tests, seams, sprout methods, or wrap methods. Ideal for risky changes, missing tests, dependency breaking, and incremental risk reduction in software maintenance.

Retrieve public ClinGen gene-disease validity assertions and source-linked variant evidence for one GRCh38 germline SNV or simple indel through the Folklore Clinical Variant Interpretation MCP, with deterministic branching on resolution states.

This skill covers essential framework patterns for modern Ruby on Rails applications (Rails 7.1+ and 8.x). It includes directory contracts, skinny controllers, service objects, form objects, query objects, background jobs, ViewComponent, Hotwire, and the Rails 8 Solid stack. Use this when building or reviewing Rails apps, controllers, models, services, jobs, or views to ensure maintainability and best practices.