kspec
Use kspec CLI for task and spec management. Invoke when working with tasks, tracking work, capturing ideas, checking session status, or managing specs in this project.
浏览 kynetic-ai 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。
已收录技能
12收录技能的仓库 Stars 合计
12仓库 Forks
0平均每个技能的仓库 Stars
1同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。
Use kspec CLI for task and spec management. Invoke when working with tasks, tracking work, capturing ideas, checking session status, or managing specs in this project.
Triage inbox items systematically. Analyzes items against spec/tasks, categorizes them, and processes using spec-first approach with plan mode for larger features.
Manage session context - focus, threads, questions, and observations. Use when tracking what you're working on, managing parallel work streams, or capturing friction points.
Create versioned releases - bump version via PR, tag, create GitHub release. CI publishes to npm.
Specification management - creating, organizing, and maintaining spec items with acceptance criteria and traits.
Comprehensive codebase audit for release readiness. Parallel exploration of docs, code, config, tests, and specs to identify cruft, then interactive triage with clear action options.
Reflect on a session to identify learnings, friction points, and improvements. Captures valuable insights for future sessions and system evolution.
Translate an approved plan into specs with acceptance criteria and derived tasks. Use after plan mode when transitioning to implementation.
Create a pull request from current work. Handles branch creation, commits, push, and PR creation. Detects branch protection and guides through the PR workflow.
Create new workflows with consistent structure and matching skill integration. Meta-workflow for formalizing patterns into trackable processes.
Pre-PR quality review - verify AC coverage, test quality, E2E preference, and test isolation.
Work on a kspec task with proper lifecycle - verify, start, note, submit, PR, complete.
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。