LI

linear-prod-checklist

Audit your Linear integration for production readiness with a comprehensive deployment checklist.

Install

mkdir -p .claude/skills/linear-prod-checklist && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/6891" && unzip -o skill.zip -d .claude/skills/linear-prod-checklist && rm skill.zip

Installs to .claude/skills/linear-prod-checklist

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Production readiness checklist for Linear integrations.
55 charsno explicit “when” trigger
Intermediate

Key capabilities

  • →Audit security and authentication settings
  • →Verify error handling and resilience patterns
  • →Validate performance and rate limit compliance
  • →Check monitoring and observability coverage
  • →Verify deployment readiness

How it works

The skill provides a structured checklist and a verification script that tests authentication, team access, and write capabilities against production requirements.

Inputs & outputs

You give it
Integration codebase and configuration
You get back
Verification report and status

When to use linear-prod-checklist

  • →Review production requirements
  • →Audit existing deployments
  • →Prepare for production go-live

About this skill

Linear Production Readiness Gate

Overview

Produce an evidence-backed go, conditional-go, or no-go decision instead of a box-checking document detached from the deployed system.

Prerequisites

  • The target repository, Linear workspace, environment, and accountable owner
  • Current security, privacy, compliance, capacity, and change-control requirements
  • An approved Linear credential only when a bounded live verification is necessary

Tool Discipline

Use Read, Glob, and Grep to inspect code, configuration, and evidence. Use WebFetch only for current first-party Linear documentation and package metadata. Use Write or Edit only for requested implementation with known target files. Never write credentials, customer content, unrestricted environment output, or unredacted GraphQL variables.

Current Contract

  • OAuth is recommended for apps used by others, and app/team authorization, refresh behavior, and secret rotation must be tested.
  • Webhook receivers require public HTTPS, raw-body signature verification, a 200 response within five seconds, deduplication, and reconciliation.
  • Request and complexity limits vary by auth mode and can include lower endpoint-specific windows.

Authentication

Use a personal API key only for owner-controlled scripts, OAuth with PKCE for user-delegated applications, or an enabled client-credentials grant for approved automation. Personal keys use Authorization: <API_KEY>; OAuth tokens use Authorization: Bearer <ACCESS_TOKEN>. Store credentials server-side in an approved secret manager.

Treat app approval, team access, scope changes, credential creation, rotation, revocation, and production access as owner-approved actions.

Instructions

  1. Identify the exact artifact, commit, environment, workspace/team scope, data classes, owner, and rollback authority.
  2. Verify SDK/runtime compatibility, token type, exact scopes, secret storage, rotation, revocation, and access review.
  3. Run offline tests plus approved read-only auth, error, rate-header, pagination, and webhook-signature probes.
  4. Review data minimization, export/retention, observability redaction, idempotency, queue behavior, and missed-event reconciliation.
  5. Exercise dependency outage, token failure, throttling, duplicate webhook, rollback, and disablement paths.
  6. Record blockers, evidence, accountable approvers, decision, expiry, and post-launch checks.

Approval Boundaries

Do not create, reveal, rotate, or revoke credentials; authorize an OAuth app; change scopes or team access; create, mutate, archive, or delete workspace data; configure or re-enable webhooks; import or export data; change roles, SCIM, or audit streaming; transmit diagnostics; change paid entitlements; or perform another production mutation without explicit approval from the accountable owner. Keep diagnosis read-only unless implementation was requested.

Output

Return the workspace and team scope, auth mode without credential value, files and contracts inspected, exact operation names, evidence collected, validation result, sensitive fields redacted, remaining risk, accountable owner, approval state, and rollback or next action.

Error Handling

ConditionResponse
Evidence missingMark the gate incomplete; do not infer readiness from configuration.
Rollback untestedReturn no-go for a material mutation path.
Shared quota unownedAssign a workspace budget owner before launch.
Sensitive logsBlock launch until redaction and retained-data cleanup are verified.

Examples

Use a compact handoff that makes scope, mutation authority, and verification evidence reviewable.

Input:

artifact=commit-sha; env=production; scope=two-teams; rollback=tested

Expected handoff:

decision=conditional-go; blockers=listed; approvers=required

Resources

When not to use it

  • →When performing initial development
  • →When the integration is not intended for production

Prerequisites

Working development integrationProduction Linear workspaceSecret management solution

Limitations

  • →Requires unique webhook secrets per environment
  • →Rate limit retry logic must include exponential backoff

How it compares

It offers a standardized audit framework and automated verification script compared to manual deployment checks.

Compared to similar skills

linear-prod-checklist side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
linear-prod-checklist (this skill)12moReviewIntermediate
build-macos-apps7010moReviewIntermediate
cloudflare-manager2511moReviewIntermediate
railway-cli-management910moReviewIntermediate

Try saying

Example prompts that trigger this skill in your AI assistant.

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