Home / tjcages / skills · linear-methodology/skills/linear-methodology/SKILL.md · GitHub

linear-methodology skillA

linear-methodology is agent-read markdown (skill) from tjcages/skills: Proven methodology for building and tracking features, projects, and issues in Linear. Use when the user wants to set up Linear tracking, sync or audit a board, run a Linear health check, finish install after skills add, or keep session discipline honest. Routes to linear-setup / linear-sync / linear-monitor / linear-finish-install as needed; linear-discipline is always-on..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# Linear Methodology

> Keep Linear useful by making it reflect the project, the repository, and the work actually happening.

## What it does

- Anchors tracking to the project's North Star and real roadmap.
- Sets up or repairs projects, milestones, issues, labels, and dependencies.
- Reconciles Linear with repository evidence instead of trusting stale tickets.
- Keeps active work current and closes the loop when work ships.

## How it works

1. Read [RESPONSE.md](./RESPONSE.md) for concise, action-first chat.
2. Read [AUTH.md](./AUTH.md), then verify Linear access before any call.
3. Route the request:
   - Set up, backfill, or start tracking → `linear-setup`
   - Sync, audit, or rescue a board → `linear-sync`
   - Check project health → `linear-monitor`
   - Finish installation → `linear-finish-install`
4. Apply `linear-discipline` throughout the session.
5. Use [METHODOLOGY.md](./METHODOLOGY.md) when the routed skill needs deeper guidance.

Default ambiguous requests like “set up Linear tracking” to `linear-setup`.

Read the whole file at its exact version.

How to install

Latest version
mdr add tjcages/skills/linear-methodology@v1.0.2
Exact content
mdr add tjcages/skills/linear-methodology@sha256:d4cf3ecd188b19d7

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_6rfa5ngymkuv3gnt.svg)](https://markdownregistry.com/a/art_6rfa5ngymkuv3gnt)

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Versions

versioncommittedcommitsizeaudit
v1.0.2 latest2026-08-25 b7cbce9 1,527 BA view · diff
git:20260729.1d120ec2026-07-29 1d120ec 1,485 BA view · diff
v1.0.22026-07-29 6e8c949 1,105 BA view · diff
v1.0.12026-07-21 07b7a5a 1,105 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (1527 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

tjcages/skills · 4 stars · license none · pushed 2026-09-24 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_6rfa5ngymkuv3gnt
GET https://markdownregistry.com/api/v1/resolve?ref=tjcages/skills/linear-methodology
GET https://markdownregistry.com/api/v1/blob/d4cf3ecd188b19d7281c2760776da924e7bc762a0352198d6e0dd486b323f3aa

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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