kpayakv2
Community@kpayakv2
kpayakv2 provides software engineering skills spanning domain modeling, spec-to-ticket planning, code review, pgvector semantic search, React performance, and Thai product data processing.
Agent Skills by kpayakv2
Showing 15 vetted skills indexed across 1 GitHub repositories.
kpayakv2domain-modeling
Build and maintain project glossaries and architecture decision records during design discussions.
kpayakv2wayfinder
Plan large efforts as decision tickets on an issue tracker and resolve them incrementally.
kpayakv2thai-taxonomy-expert
Designs and manages Thai product taxonomy hierarchies with hybrid keyword and embedding classification.
kpayakv2diagnosing-bugs
Diagnose hard bugs and performance regressions through a structured six-phase feedback-loop workflow.
kpayakv2code-review
Reviews a git diff against documented coding standards and the originating spec in parallel sub-agents.
kpayakv2to-tickets
Breaks plans and specs into tracer-bullet tickets with declared blocking dependencies.
kpayakv2find-skills
Searches and installs agent skills from the open skills ecosystem using the Skills CLI.
kpayakv2to-spec
Synthesizes conversation context into a structured spec published to the project issue tracker.
kpayakv2grill-with-docs
Interrogates a plan or design while generating ADRs and a glossary.
kpayakv2pgvector-semantic-search
Configure pgvector indexes and queries for semantic similarity search in PostgreSQL.
kpayakv2implement
Implement work from a spec or tickets using TDD and code review.
kpayakv2data-cleaner
Normalizes Thai product names by converting digits, standardizing units, and removing promotional noise.
kpayakv2vercel-react-best-practices
Applies Vercel performance optimization rules when writing and refactoring React and Next.js code.
kpayakv2grill-me
Conducts a relentless interview to sharpen a plan or design.
kpayakv2grilling
Interviews the user in structured question rounds to stress-test plans and decisions.
Frequently Asked Questions About kpayakv2
FAQPage SchemaWhat tasks can I accomplish using kpayakv2's skills?▼
You can build domain models with CONTEXT.md and ADRs, break plans into blocking tickets, publish specs to issue trackers, diagnose bugs and performance regressions, review code against standards and specs, set up pgvector semantic search, optimize React/Next.js performance, and clean or classify Thai product data.
Who are kpayakv2's skills designed for?▼
Software engineers and technical leads managing specs, tickets, and code reviews; backend developers building PostgreSQL vector search; frontend developers working with React and Next.js; and data engineers processing Thai-language product catalogs with taxonomy classification and text normalization.
How do the planning and implementation skills work in practice?▼
Skills like to-spec, to-tickets, wayfinder, and implement chain together: synthesize a conversation into a spec, decompose it into tracer-bullet tickets with declared blocking edges on your tracker, then implement each ticket. Several are marked disable-model-invocation, requiring explicit user triggering.
Are kpayakv2's skills open source and what licenses apply?▼
The pgvector-semantic-search skill is Apache-2.0 licensed by tigerdata, and vercel-react-best-practices is MIT licensed by Vercel. Other skills in the manifest do not declare explicit licenses, so check each skill folder before redistribution or commercial reuse.
What prerequisites or dependencies do these skills require?▼
The pgvector skill requires PostgreSQL 15+ with the pgvector extension installed. Planning skills like to-tickets and to-spec need a configured issue tracker for native blocking links, falling back to local per-ticket text files. React guidance applies to React and Next.js codebases.