Turn unstructured input into well-structured Linear tickets.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionsend-to-linearExecute the skills CLI command in your project's root directory to begin installation:
Fetches send-to-linear from casper-studios/casper-marketplace 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 send-to-linear. Access via /send-to-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
0
total installs
0
this week
10
GitHub stars
0
upvotes
Run in your terminal
0
installs
0
this week
10
stars
Turn unstructured input into well-structured Linear tickets.
Look for team configuration in this order (first match wins):
~/.agents/configs/send-to-linear/config.json (user overrides)references/config.json (bundled defaults, relative to this skill file)Use the user config if found. Otherwise fall back to the bundled config.json.
If no user config exists AND the bundled config has empty required fields (team, default_assignee), stop and prompt the user:
No local config found. The bundled
references/config.jsonhas empty defaults and will be overwritten whenever this skill updates.Create a user config at:
~/.agents/configs/send-to-linear/config.jsonCopy the bundled
references/config.jsonas a starting point and fill in your team, project, assignee, labels, and conventions.
Same pattern for the ticket template:
~/.agents/configs/send-to-linear/ticket-template.md (user overrides)references/ticket-template.md (bundled default)The template rarely needs customization, so no prompt if only the bundled version exists.
Accept any combination of:
mcp__fireflies__* tools), pasted text, or a fileIf the user's input is ambiguous or incomplete, ask one clarifying question before proceeding. Do not over-interrogate.
For Fireflies transcripts specifically: fetch both the summary (fireflies_get_summary) and full transcript (fireflies_get_transcript). Use the summary for topic identification, the full transcript for detail extraction.
For short input (<5K chars): extract directly in the main context.
For long input (>5K chars, e.g. full call transcripts): launch parallel subagents, one per major topic or time segment, to extract:
Write to .claude/scratchpad/linear-tickets-YYYY-MM-DD.md using the format from references/ticket-template.md.
Every ticket with a real-world example from the source MUST include that example verbatim — do not summarize away specifics.
Skip for short/simple input. For call transcripts or long Slack threads:
Launch a verification subagent that reads the full source material and the drafted tickets, then produces a gap list:
Update the draft with any gaps found.
STOP. Tell the user the file is ready and wait for explicit instruction before creating anything in Linear.
The user may restructure, merge, split, rename, add notes, or tell you to skip items. Apply all feedback to the scratchpad file before proceeding.
Read config using the resolution order from Setup, then:
mcp__linear__list_teams — resolve team IDmcp__linear__list_issue_labels — resolve label IDsmcp__linear__list_projects — resolve project ID (if configured)mcp__linear__list_cycles with type: "current" — resolve current cycle (if assign_to_current_cycle is true)Create each approved ticket with mcp__linear__create_issue:
team: from configproject: from configassignee: from configcycle: current cycle numberstate: from config default_statuslabels: matched from ticket's Labels fieldtitle: from ticketdescription: full ticket body in markdownlinks: source link if available (e.g. Fireflies transcript URL, Slack permalink)Report created ticket identifiers back to the user.
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
pproenca/dot-skills
mattpocock/skills
Solid pick for teams standardizing on skills: send-to-linear is focused, and the summary matches what you get after install.
send-to-linear reduced setup friction for our internal harness; good balance of opinion and flexibility.
send-to-linear fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Useful defaults in send-to-linear — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for send-to-linear matched our evaluation — installs cleanly and behaves as described in the markdown.
send-to-linear is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added send-to-linear from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
send-to-linear fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
send-to-linear reduced setup friction for our internal harness; good balance of opinion and flexibility.
Keeps context tight: send-to-linear is the kind of skill you can hand to a new teammate without a long onboarding doc.
showing 1-10 of 60