Discover databases project management skills, compare source repositories and read the instructions for each workflow.
INVOKE for planning and outlining before implementation. Produces visible skeleton then expansion. Use before implementing features or creating structured documents. Triggers: planning, outlining, structuring a...
INVOKE after research or brainstorming to synthesize findings. Produces visible aggregation with conflict resolution. Use when multiple inputs need combining into coherent output. Triggers: synthesizing researc...
Multi-agent coordination workflows and conflict prevention patterns
Show AI design patterns project health, track completion status, coordinate agent activities, and suggest intelligent next priority actions
Access to Atlassian Jira with `jira` CLI.
Create feature implementation plans before development. Captures requirements, acceptance criteria, non-goals, risks, and implementation complexity in structured markdown. Use when starting a new feature to ens...
MANDATORY - INVOKE IMMEDIATELY after completing ANY development task (feature, bug fix, refactor, maintenance). Creates SR-PTD documentation for future skill extraction. This is NOT optional - every task MUST h...
Use when needing to understand requirements before implementation. Gathers context from Jira, Confluence, codebase, and docs. Produces research document with confidence scoring.
Use when implementing features from Jira tickets, PRDs, or user requirements. Orchestrates Research-Plan-Implement workflow with quality gates for hallucination, overengineering, and underengineering detection.
Creates detailed implementation plan from validated research. Produces task breakdown with dependencies.
Event Stormingでイベント（動詞の過去形）を中心に、コマンド・集約・リードモデルを抽出/命名/レビューする作業に使う
Expert in React performance optimization, code splitting, lazy loading, memoization, bundle analysis, Core Web Vitals, Lighthouse audits, and runtime performance profiling
Orchestrate autonomous project development through state-driven execution
The agent implements DORA metrics tracking for measuring and improving software delivery performance. Use when establishing engineering metrics, benchmarking teams, or driving DevOps transformation.
Collecting and using user feedback - explicit/implicit signals, feedback analysis, improvement loops, A/B testing. Use when improving AI systems, understanding user satisfaction, or iterating on quality.
ML development workflow covering experiment design, baseline establishment, iterative improvement, and experiment tracking best practices.
AI agent performs systematic root cause analysis using 5 Whys, Fishbone diagrams, and evidence-based investigation. Use when debugging, conducting post-mortems, or investigating incidents.
Orchestrates AI-native sprint management with autonomous agent coordination and continuous delivery. Use when running development sprints with AI agent teams or coordinating parallel task execution.
AI agent creates structured implementation plans with task breakdown, dependency mapping, risk assessment, and file-level detail. Use when planning features, projects, or complex implementations.
Manage GitHub parent-child issue relationships using the gh-sub-issue extension. Link existing issues as sub-tasks, create new sub-issues, list relationships, and remove links. Use when working with GitHub issu...
Break down GitHub issues into official GitHub sub-issues by parsing task lists from parent issue descriptions. Use this skill when a user wants to convert a parent issue with tasks into linked sub-issues, when...
Update GitHub issue project statuses for single or multiple issues using the GitHub Projects V2 API. Use when needing to programmatically set issue statuses (todo, in_progress, done) in GitHub Projects, especia...
Manage Todoist tasks via the `todoist` CLI. Use when the user asks to add tasks, complete tasks, list today's tasks, search tasks, manage projects/labels/sections, or interact with Todoist in any way.
Spawn a new Claude Code session in a project directory with context handoff. This skill should be used when discussion shifts to a different project/repo and the user wants to work on it in a dedicated session....
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.