Linear Cli logo

Linear Cli

Organization
letta-ai
linear-cli

Manage Linear issues from the command line using the linear cli. This skill allows automating linear management.

Overview

Publisherletta-ai
Repositoryskills
Skill namelinear-cli
Stars
144
Forks
25
Bundled files
2
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by letta-ai on GitHub. Read the source before you install it.

Installation

Install the Linear Cli AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/letta-ai/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/tools/linear .claude/skills/linear-cli
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Linear Cli in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Linear Cli on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Linear Cli is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Linear CLI

A CLI to manage Linear issues from the command line, with git and jj integration.

Prerequisites

The linear command must be available on PATH. To check:

bash
linear --version

If not installed, follow the instructions at: https://github.com/schpet/linear-cli?tab=readme-ov-file#install

Best Practices for Markdown Content

When working with issue descriptions or comment bodies that contain markdown, always prefer using file-based flags instead of passing content as command-line arguments:

  • Use --description-file for issue create and issue update commands
  • Use --body-file for comment add and comment update commands

Why use file-based flags:

  • Ensures proper formatting in the Linear web UI
  • Avoids shell escaping issues with newlines and special characters
  • Prevents literal \n sequences from appearing in markdown
  • Makes it easier to work with multi-line content

Example workflow:

bash
# Write markdown to a temporary file
cat > /tmp/description.md <<'EOF'
## Summary

- First item
- Second item

## Details

This is a detailed description with proper formatting.
EOF

# Create issue using the file
linear issue create --title "My Issue" --description-file /tmp/description.md

# Or for comments
linear issue comment add ENG-123 --body-file /tmp/comment.md

Only use inline flags (--description, --body) for simple, single-line content.

Available Commands

linear auth               # Manage Linear authentication
linear issue              # Manage Linear issues
linear team               # Manage Linear teams
linear project            # Manage Linear projects
linear project-update     # Manage project status updates
linear cycle              # Manage Linear team cycles
linear milestone          # Manage Linear project milestones
linear initiative         # Manage Linear initiatives
linear initiative-update  # Manage initiative status updates (timeline posts)
linear label              # Manage Linear issue labels
linear document           # Manage Linear documents
linear config             # Interactively generate .linear.toml configuration
linear schema             # Print the GraphQL schema to stdout
linear api                # Make a raw GraphQL API request

Discovering Options

To see available subcommands and flags, run --help on any command:

bash
linear --help
linear issue --help
linear issue list --help
linear issue create --help

Each command has detailed help output describing all available flags and options.

Using the Linear GraphQL API Directly

Prefer the CLI for all supported operations. The api command should only be used as a fallback for queries not covered by the CLI.

Check the schema for available types and fields

Write the schema to a tempfile, then search it:

bash
linear schema -o "${TMPDIR:-/tmp}/linear-schema.graphql"
grep -i "cycle" "${TMPDIR:-/tmp}/linear-schema.graphql"
grep -A 30 "^type Issue " "${TMPDIR:-/tmp}/linear-schema.graphql"

Make a GraphQL request

Important: GraphQL queries containing non-null type markers (e.g. String followed by an exclamation mark) must be passed via heredoc stdin to avoid escaping issues. Simple queries without those markers can be passed inline.

bash
# Simple query (no type markers, so inline is fine)
linear api '{ viewer { id name email } }'

# Query with variables — use heredoc to avoid escaping issues
linear api --variable teamId=abc123 <<'GRAPHQL'
query($teamId: String!) { team(id: $teamId) { name } }
GRAPHQL

# Search issues by text
linear api --variable term=onboarding <<'GRAPHQL'
query($term: String!) { searchIssues(term: $term, first: 20) { nodes { identifier title state { name } } } }
GRAPHQL

# Pipe to jq for filtering
linear api '{ issues(first: 5) { nodes { identifier title } } }' | jq '.data.issues.nodes[].title'

Advanced: Using curl directly

For cases where you need full HTTP control, use linear auth token:

bash
curl -s -X POST https://api.linear.app/graphql \
  -H "Content-Type: application/json" \
  -H "Authorization: $(linear auth token)" \
  -d '{"query": "{ viewer { id } }"}'

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Linear Cli AI skill do?

Manage Linear issues from the command line using the linear cli. This skill allows automating linear management.

Why use Linear Cli on TypingMind?

Because you install it once and use it with any model. Linear Cli is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Linear Cli in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/letta-ai/skills/tree/main/tools/linear. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Linear Cli?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Linear Cli?

As many as you like. As long as a model supports skills, you can use Linear Cli with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Linear Cli AI skill free?

It is published on GitHub by letta-ai. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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