Before using Linear workflows, search for linear MCP tools. If not found, treat as not installed.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionlinearExecute the skills CLI command in your project's root directory to begin installation:
Fetches linear from lobehub/lobe-chat and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate linear. Access via /linear in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Before using Linear workflows, search for linear MCP tools. If not found, treat as not installed.
When creating a PR that references Linear issues (LOBE-xxx), you MUST:
Fixes LOBE-xxx)This is NON-NEGOTIABLE. Skipping Linear comments is a workflow violation.
mcp__linear-server__get_issuemcp__linear-server__list_issues with parentId filtermcp__linear-server__update_issuemcp__linear-server__create_commentWhen creating issues with mcp__linear-server__create_issue, MUST add the claude code label.
Every completed issue MUST have a comment summarizing work done:
## Changes Summary
- **Feature**: Brief description of what was implemented
- **Files Changed**: List key files modified
- **PR**: #xxx or PR URL
### Key Changes
- Change 1
- Change 2
- ...
This is critical for:
When creating PRs for Linear issues, include magic keywords in PR body:
Fixes LOBE-123Closes LOBE-123Resolves LOBE-123When working on multiple issues, update EACH issue IMMEDIATELY after completing it:
bun run type-checkNote: Status → "In Review" when PR created. "Done" only after PR merged.
❌ Wrong: Complete all → Create PR → Forget Linear comments
✅ Correct: Complete → Create PR → Add Linear comments → Task done
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
linear reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for linear matched our evaluation — installs cleanly and behaves as described in the markdown.
linear is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in linear — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend linear for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in linear — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Keeps context tight: linear is the kind of skill you can hand to a new teammate without a long onboarding doc.
I recommend linear for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
linear has been reliable in day-to-day use. Documentation quality is above average for community skills.
linear fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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