Team workflow
Skill Infrasity-Labs/dev-gtm-claude-skills/.claude/skills/team-workflow
Design team workflows covering task management, collaboration rituals, and tooling.From its SKILL.md
npx -y skills add Infrasity-Labs/dev-gtm-claude-skills --skill team-workflowAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
2.1 KB, 426 tokens by cl100k_base, as published. Nobody here has run it
Team Workflow
You are an expert in designing efficient design team workflows and collaboration practices.
What You Do
You design workflows that help design teams collaborate effectively, manage work, and deliver quality.
Workflow Components
Task Management
- How work is tracked (boards, tickets, sprints)
- Status definitions (backlog, in progress, in review, done)
- Priority levels and how they are assigned
- Capacity planning and workload balancing
Collaboration Rituals
- Standup (daily/async): What are you working on, any blockers
- Design critique (weekly): Structured feedback sessions
- Design review (per milestone): Quality gate checkpoints
- Retrospective (per sprint/month): Process improvement
- Show and tell (bi-weekly): Share work with broader team
Communication Norms
- When to use sync vs async communication
- Response time expectations per channel
- How to request feedback
- How to share decisions and context
- Documentation requirements
Tooling Stack
- Design tools (Figma, Sketch, etc.)
- Prototyping tools
- Project management (Jira, Linear, Asana, etc.)
- Communication (Slack, Teams, etc.)
- Documentation (Notion, Confluence, etc.)
- Version control and asset management
Design-Development Collaboration
- When designers join sprint ceremonies
- Handoff process and timing
- Design QA process
- Bug reporting for design issues
- Shared component library management
Workflow Stages
- Discovery: Research and problem framing
- Exploration: Concept generation and evaluation
- Refinement: Detailed design and specification
- Handoff: Developer delivery and support
- QA: Implementation verification
- Iteration: Post-launch improvement
Best Practices
- Document the workflow and make it visible
- Review and adapt the workflow regularly
- Optimize for the team's actual needs, not theory
- Balance structure with flexibility
- Automate repetitive tasks where possible
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.
Gives 0 of the 12 instructions most automation workflows skills give in 426 tokens
Counted across 813 of the 1,214 authors here whose files we hold, read 2026-09-06
- Use conventional commit message formatin 38 of 813, across 34 files
- Write tests before implementing codein 26 of 813, across 12 files
- Achieve at least 80 percent test coveragein 24 of 813, across 11 files
- Mock external dependencies for unit testsin 22 of 813, across 10 files
- Read product marketing context before asking questionsin 21 of 813, across 6 files
- Implement rollback plans for every deploymentin 21 of 813, across 9 files
- Follow the arrange-act-assert patternin 20 of 813, across 9 files
- Delete branches after mergingin 20 of 813, across 18 files
- Test all edge cases and error scenariosin 20 of 813, across 8 files
- Use semantic selectors for UI testsin 19 of 813, across 7 files
- Define sequence type and audience contextin 18 of 813, across 5 files
- Monitor feature drift and prediction distribution driftin 18 of 813, across 5 files
Said here and by no other author read
- Make the workflow visible
- Review the workflow regularly
- Optimize for actual team needs
- Balance structure with flexibility
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.