By whoisnnamdiUpdated 2026-05-11linearis@clawhub_whoisnnamdi/linearis
Tool Use#Json
According to AlphaMoat, as of 2026-09, Linearis has 3,553 downloads and 4 stars — ranked #3,085 of 5,078 AI skills overall, and #627 of 969 in AI Agent.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 116 | 3.5K | 4 | - |
| SkillHub ↗ | 164 | 3.6K | 4 | — |
Platforms count differently and update at different times.
Linearis provides JSON-oriented commands to list, search, read, create, and update Linear issues; create comments; manage documents; browse teams, users, projects, and cycles; and upload/download files. Use an installed, reviewed and pinned CLI with a least-privilege API token. Protect token storage and avoid plaintext token arguments that expose secrets in history or process listings. Confirm writes, deletion, and file transfers before execution.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 3.6K | — | 4 |
| 2026-08 | 3.4K | +3.7% | 4 |
| 2026-07 | 3.3K | +6.9% | 4 |
| 2026-06 | 3.1K | +4.0% | 4 |
| 2026-05 | 3.0K | — | 4 |
| 2026-03 | 2.6K | — | 4 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
---
name: linearis
version: 1.0.0
description: Linear.app CLI for issue tracking. Use for listing, creating, updating, and searching Linear issues, comments, documents, cycles, and projects. Optimized for LLM agents with JSON output.
metadata: {"clawdbot":{"emoji":"📋","requires":{"bins":["linearis"]},"install":[{"id":"npm","kind":"node","package":"linearis","bins":["linearis"],"label":"Install linearis (npm)"}]}}
---
# linearis
CLI for [Linear.app](https://linear.app) with JSON output, designed for LLM agents.## Setup ```bash npm install -g linearis ``` Auth (one of): - `echo "lin_api_..." > ~/.linear_api_token` (recommended) - `export LINEAR_API_TOKEN="lin_api_..."` - `--api-token <token>` flag Get API key: Linear Settings → Security & Access → Personal API keys ## Commands ### Issues ```bash linearis issues list -l 20 # List recent issues linearis issues list -l 10 --team WHO # Filter by team linearis issues search "bug" # Full-text search linearis issues read ABC-123 # Get issue details linearis issues create --title "Fix bug" --team WHO --priority 2 linearis issues update ABC-123 --status "Done" linearis issues update ABC-123 --title "New title" --assignee user123 linearis issues update ABC-123 --labels "Bug,Critical" --label-by adding linearis issues update ABC-123 --parent-ticket EPIC-100 # Set parent ``` ### Comments ```bash linearis comments create ABC-123 --body "Fixed in PR #456" ``` ### Documents ```bash linearis documents list linearis documents list --project "Backend" linearis documents create --title "Spec" --content "# Overview..." linearis documents read <doc-id> linearis documents update <doc-id> --content "Updated" linearis documents delete <doc-id> ``` ### File Uploads/Downloads ```bash linearis embeds upload ./screenshot.png linearis embeds download "<url>" --output ./file.png ``` ### Teams, Users, Projects ```bash linearis teams list linearis users list --active linearis projects list linearis cycles list --team WHO --active ``` ### Full Usage ```bash linearis usage # Complete command reference (~1k tokens) ``` ## Output All commands return JSON by default. Pipe to `jq` for processing: ```bash linearis issues list -l 5 | jq '.[].identifier' ``` ## Priority Values - 0: No priority - 1: Urgent - 2: High - 3: Medium - 4: Low ## Links - Docs: https://github.com/czottmann/linearis - Blog: https://zottmann.org/2025/09/03/linearis-my-linear-cli-built.html
Records learnings, errors and corrections as Markdown files for later reuse and promotion into workspace memory.
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A browser-automation command line skill for AI agents.
Turns corrections and self-review into tiered memory and promotes or archives it by use.
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Stores agent memory and cross-skill state as a typed, constraint-checked knowledge graph.
A workspace setup guide for planning proactive follow-up, working memory and review routines for an AI agent.
A guide to creating and updating effective Claude skills.
Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.