linear
Skill1 starsChanged 2 months agoMITView on GitHub
Linear MCP reference for issues, projects, cycles, milestones, comments, documents, releases, and diffs through Linear's hosted MCP server. TRIGGER when: user mentions Linear, a Linear issue key like LIN-123 or ENG-42, asks to create/update/find Linear issues or projects, summarize a cycle, post standup notes to Linear, or uses linear MCP tools. DO NOT TRIGGER when: user asks for GitHub issues or PRs (use prd-to-plan, qa, or watchdog skills), or configures the raxol-symphony Linear tracker (use raxol-symphony skill).
83 other projects use a version of this.
Adopted by
Most recently taken up by
- ashleysbrain/skillstheir own version, first seen Nov 8, 2026
- withpiper/pipekittheir own version, first seen Nov 8, 2026
- lox/agent-skillstheir own version, first seen Nov 7, 2026
- lobehub/lobehubtheir own version, first seen Nov 5, 2026
- AgnesAI-Labs/agnet-skills-cntheir own version, first seen Nov 1, 2026
- Shanksg/clawskillstheir own version, first seen Nov 1, 2026
Used with
Projects with it also use agent-deep-links, helium-mcp and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
ComposioHQSkillagent-deep-links
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ComposioHQSkillhelium-mcp
Search real-time news with bias scoring, get live stock/ETF/crypto data with AI analysis, ML options pricing, balanced news synthesis, and meme search via the Helium MCP server.
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petestewartSkilldatadog-logs
Query Datadog logs via the Logs Search API v2. Use when the user asks to "check the logs", "search logs", "find errors in Datadog", "look up logs for", "show me production logs", "check for errors", "search Datadog", or any request involving log search, error investigation, or production debugging that requires Datadog log data.
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OpenAISkillpull
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SentrySkilldatadog
Query live Datadog telemetry (logs, metrics, traces, spans, monitors, incidents, dashboards, services, hosts) through Datadog's Pup CLI. Use when users ask to investigate production behavior in Datadog, including searching logs, checking monitor status, inspecting traces or spans, looking up incidents, finding services, or correlating metrics. Do not use it for Sentry issues, repository/source-code work, or ticketing.
Also in 4 projects that use this
- +7 more from ComposioHQ
Other versions83 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 83
- lobehub/lobe-chat★ 84ksame name
- lobehub/lobehub★ 84ksame name
- openai/skills★ 27ksame name
- openai/symphony★ 27ksame name
- anthropics/claude-quickstarts★ 19ksame name
- ComposioHQ/awesome-codex-skills★ 17ksame name
- composio-community/awesome-codex-skills★ 16ksame name
- anyproto/anytype-ts★ 9.1ksame name
- vercel-labs/emulate★ 2ksame name
- Lilac-Labs/gini-agent★ 1.9ksame name
73 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository62 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- adversarial-reviewerSkill
- agent-designerSkill
- architectSkill
- autoresearchSkill
- blockscoutSkill
- ci-cd-pipeline-builderSkill
- claude-apiSkill
- codebase-onboardingSkill
- code-reviewSkill
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- dependency-auditorSkill
- design-uxSkill
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- env-secrets-managerSkill
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- ffmpeg-asmSkill
- focused-fixSkill
- frontend-slop-auditSkill
- git-guardrailsSkill
- git-worktree-managerSkill
- humanizerSkill
- interface-designerSkill
- llm-cost-optimizerSkill
- local-browser-inspectorSkill
- mcp-server-builderSkill
- native-codeSkill
- nixSkill
- noirSkill
- observability-designerSkill
- patchbotSkill
- performance-profilerSkill
- playwrightSkill
- polymathSkill
- prd-to-planSkill
- prepperSkill
- property-testingSkill
- qaSkill
- rag-architectSkill
- raxol-paymentsSkill
- raxolSkill
- raxol-symphonySkill
- recallSkill
- refactoring-strategySkill
- regenSkill
- releaseSkill
- security-auditorSkill
- self-improving-agentSkill
- sentinelSkill
- signozSkill
- skill-creatorSkill
- solidity-auditorSkill
- tddSkill
- tech-debt-trackerSkill
- ubiquitous-languageSkill
- watchdogSkill
- web-asset-generatorSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 1 is distinctive, and 1 is very specific to this project.
0
Common
Most of the 79 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 26
Never invent an issue key, team, or project.
- Distinctive: line 30
Before any write that touches more than one object (bulk comments, project scaffolding, label replacement), show the exact plan and wait …
“Common” is measured: kept by at least 6 in 10 of the 79 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Linear MCP
Linear's hosted MCP server (https://mcp.linear.app/mcp, Streamable HTTP,
OAuth 2.1). 68 tools on read-write, 38 on /mcp/readonly. Tool names are
mcp__linear__<tool> in hosts that namespace MCP tools.
Strict rules
- Never invent an issue key, team, or project. Resolve names with
list_teams,list_projects,list_users,list_issue_statusesbefore writing. save_*tools create whenidis omitted and update when it is set. Never passidon create; never omit it on update.- Before any write that touches more than one object (bulk comments, project scaffolding, label replacement), show the exact plan and wait for approval.
labelsreplaces the whole label set; useaddLabels/removeLabelsfor incremental changes.share_issue,unshare_issue,submit_diff_review,merge_diff, and everydelete_*/retire_*tool require an explicit user request.
Identifiers
| Object | Accepts |
| Issue | LIN-123 key or UUID |
| Project | P-ENG-123, slug, name, or UUID |
| Team | key, name, or UUID |
| User | UUID, name, email, or "me" |
| Cycle | name, number, or UUID |
| State | type (triage, started, ...), name, or UUID |
Workspace: get_workspace. Current user's queue: list_issues(assignee="me").
Endpoint choice
| Need | Endpoint |
| Create/update anything | https://mcp.linear.app/mcp |
| Reporting, summaries, triage | https://mcp.linear.app/mcp/readonly |
/mcp/readonly is enforced server-side: write tools are absent from
tools/list and tools/call on one returns Tool save_issue not found, even
with a read-write token. The /sse endpoint is deprecated.
Reference
| File | Topic |
| tools-reference.md | All 68 tools grouped by object, RO flag, arguments |
| usage-patterns.md | Standup -> comments, plan -> project, cycle report |
| mcp-setup.md | Claude Code, Codex, Raxol setup and re-auth |
What You Get
- Complete, live-captured inventory of Linear MCP tools with read-only markers and key arguments.
- Identifier resolution rules and write guardrails that avoid duplicate issues and destructive label/relation edits.
- Host setup for Claude Code, Codex, and Raxol, including read-only pinning and OAuth recovery.
See also
raxol-symphony-- tracker-driven agent orchestration that reads Linear via GraphQLprd-to-plan-- PRD to phased plan; GitHub issue outputqa-- bug triage and GitHub issue creationprepper-- pre-session briefings
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

