scrum-event-backlog-refinement
Transform PBIs into ready status for AI execution. Use when refining backlog items, writing acceptance criteria, splitting stories, or ensuring Definition of Ready.
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Transform PBIs into ready status for AI execution. Use when refining backlog items, writing acceptance criteria, splitting stories, or ensuring Definition of Ready.
Guide Sprint Retrospectives to identify improvements. Use when reflecting on sprints, planning process improvements, or executing improvement actions.
Guide Sprint Planning in AI-Agentic Scrum. Use when selecting PBI, defining Sprint Goal, or breaking into subtasks.
AI Developer following TDD principles in AI-Agentic Scrum. Use when implementing PBIs, managing subtasks, or executing the TDD cycle within Scrum.
Maintain scrum.ts dashboard following Agentic Scrum principles. Use when editing scrum.ts, updating sprint status, or managing Product Backlog.
AI Scrum Master facilitating events, enforcing framework rules, coaching team, and removing impediments. Use when coordinating sprints, resolving impediments, or ensuring Scrum compliance.
AI-Agentic Product Owner accountable for maximizing product value through effective Product Backlog management. Use when creating PBIs, ordering backlog, or accepting sprints.
Task management expert using ttt CLI. Manages task workflow, syncs issues, tracks status. Supports Linear and Trello. Use when working with issues/cards, starting tasks, completing work, or checking task status...
Backend entity patterns - services with DI, Drizzle schemas (3-file pattern), ORPC routers, TypeIDs, neverthrow. Use when creating services, schemas, routers, or new entities.
Test infrastructure patterns - PGlite for in-memory PostgreSQL, Redis/S3 mocks, TestSetup factory, Bun test. Use when writing tests or adding test infrastructure.
React/Next.js data patterns - React Query hooks, ORPC client integration, error handling, cache invalidation. Complements frontend-design skill (visuals).
Comprehensive Go engineering guidelines for writing production-quality Go code. This skill should be used when writing Go code, performing Go code reviews, working with Go tools (gopls, golangci-lint, gofmt), o...
Comprehensive TypeScript engineering guidelines based on Google's TypeScript Style Guide. This skill should be used when writing TypeScript code, performing TypeScript code reviews, or answering questions about...
Go code review skill synthesized from 4,100+ PR review comments spanning 4.5 years from the tetrateio/tetrate repository. Use this skill when reviewing Go code, providing code review feedback, or understanding...
Comprehensive Python engineering guidelines for writing production-quality Python code. This skill should be used when writing Python code, performing Python code reviews, working with Python tools (uv, ruff, m...
Comprehensive shell/bash engineering guidelines based on Google's Shell Style Guide. This skill should be used when writing shell scripts, reviewing bash code, or answering questions about shell scripting best...
PR triage, merge receipts, CI sanity, artifact/PII hygiene
Operational rules for Interlock enforcement and receipts
Synchronize work between Antigravity and Claude Code agents
Evidence-first development with fail-closed behavior
Author or update Locque .lq code and tests with the canonical M-expr syntax, CBPV rules, data/match forms, modules/imports/opens, and project conventions.
Frontend website debugging toolkit using Chrome DevTools Protocol with Playwright/WebKit fallbacks. Use this skill when: (1) Debugging CSS, HTML, or JavaScript issues on a webpage, (2) Taking screenshots to ver...
Debug and fix common issues in Three.js, React Three Fiber, and 3D asset pipelines. Use when encountering visual bugs, performance problems, loading failures, or unexpected behavior. Covers black screens, Z-fig...
Git-native session lifecycle management for software development. Use when starting/resuming coding sessions, creating checkpoints, tracking objectives and blockers, generating handoffs between sessions, or nee...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。