All Linear operations go through the linear_graphql client tool exposed by
Works with
Symphony's app server. It handles auth automatically.
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 odysseus0/symphony 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.
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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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All Linear operations go through the linear_graphql client tool exposed by
Symphony's app server. It handles auth automatically.
{
"query": "query or mutation document",
"variables": { "optional": "graphql variables" }
}
One operation per tool call. A top-level errors array means the operation
failed even if the tool call completed.
Maintain a local workpad.md in your workspace. Edit freely (zero API cost),
then sync to Linear at milestones — plan finalized, implementation done,
validation complete. Do not sync after every small change.
First sync — create the comment, save the ID:
mutation CreateComment($issueId: String!, $body: String!) {
commentCreate(input: { issueId: $issueId, body: $body }) {
success
comment { id }
}
}
Write the returned comment.id to .workpad-id so subsequent syncs can update.
Subsequent syncs — read .workpad-id, update in place:
mutation UpdateComment($id: String!, $body: String!) {
commentUpdate(id: $id, input: { body: $body }) { success }
}
The orchestrator injects issue context (identifier, title, description, state, labels, URL) into your prompt at startup. You usually do not need to re-read.
When you do, use the narrowest lookup for what you have:
# By ticket key (e.g. MT-686)
query($key: String!) {
issue(id: $key) {
id identifier title url description
state { id name type }
project { id name }
}
}
For comments and attachments:
query($id: String!) {
issue(id: $id) {
comments(first: 50) { nodes { id body user { name } createdAt } }
attachments(first: 20) { nodes { url title sourceType } }
}
}
Fetch team states first, then move with the exact stateId:
query($id: String!) {
issue(id: $id) {
team { states { nodes { id name } } }
}
}
mutation($id: String!, $stateId: String!) {
issueUpdate(id: $id, input: { stateId: $stateId }) {
success
issue { state { name } }
}
}
# GitHub PR (preferred for PRs)
mutation($issueId: String!, $url: String!, $title: String) {
attachmentLinkGitHubPR(issueId: $issueId, url: $url, title: $title, linkKind: links) {
success
}
}
# Plain URL
mutation($issueId: String!, $url: String!, $title: String) {
attachmentLinkURL(issueId: $issueId, url: $url, title: $title) {
success
}
}
Three steps:
mutation($filename: String!, $contentType: String!, $size: Int!) {
fileUpload(filename: $filename, contentType: $contentType, size: $size, makePublic: true) {
success
uploadFile { uploadUrl assetUrl headers { key value } }
}
}
uploadUrl with the returned headers (use curl).assetUrl in comments/workpad as .Resolve project slug to IDs first:
query($slug: String!) {
projects(filter: { slugId: { eq: $slug } }) {
nodes { id teams { nodes { id key states { nodes { id name } } } } }
}
}
Then create:
mutation($input: IssueCreateInput!) {
issueCreate(input: $input) {
success
issue { identifier url }
}
}
$input fields: title, teamId, projectId, and optionally description,
priority (0–4), stateId. For relations, follow up with:
mutation($input: IssueRelationCreateInput!) {
issueRelationCreate(input: $input) { success }
}
Input: issueId, relatedIssueId, type (blocks or related).
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
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.
Solid pick for teams standardizing on skills: linear is focused, and the summary matches what you get after install.
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.
Registry listing for linear matched our evaluation — installs cleanly and behaves as described in the markdown.
linear reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in linear — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added linear from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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