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Agent skill

Linear Cost Tuning

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Analyze and reduce the infrastructure and quota cost of a Linear integration through workload accounting, query budgets, and push-based updates.

MITAuto-check passedBusiness, Finance & HR

Install Linear Cost Tuning

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill linear-cost-tuning -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace linear-cost-tuning --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/linear-cost-tuning .claude/skills/linear-cost-tuning && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
linear-cost-tuning
GitHub stars
2.8k
Token cost
~1.2k tokens
SKILL.md length
476 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Analyze and reduce the infrastructure and quota cost of a Linear integration through workload accounting, query budgets, and push-based updates.

  • Works in 6 steps: Measure requests, complexity, payload… → Separate required freshness from… → Set per-workload request and complexity… → …
  • A sync is wasteful
  • SKILL.md covers Overview, Prerequisites, Tool Discipline and Current Contract, plus 7 more sections
  • Needs API_KEY and ACCESS_TOKEN

What it does

Linear Cost Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Analyze and reduce the infrastructure and quota cost of a Linear integration through workload accounting, query budgets, and push-based updates. Use when a sync is wasteful, throttled, or expensive to operate. Trigger with "reduce Linear API load", "budget Linear queries", or "tune Linear integration cost".

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/official-docs.md`). Compatibility notes: Designed for Claude Code; live verification requires network access and an approved Linear workspace credential

It sits in Business, Finance & HR, covering Accounting and bookkeeping. It works with Linear. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • A sync is wasteful
  • Expensive to operate
  • With reduce Linear API load
  • Budget Linear queries

Example prompts

  • “reduce Linear API load”
  • “budget Linear queries”
  • “tune Linear integration cost”
  • “/linear-cost-tuning”

Requirements

  • A credential in API_KEY
  • A credential in ACCESS_TOKEN
  • Compatibility (from SKILL.md): Designed for Claude Code; live verification requires network access and an approved Linear workspace credential
  • Pre-approved tools (allowed-tools): Read, Glob, Grep, WebFetch, Write, Edit

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Measure requests, complexity, payload bytes, queue time, retries, storage growth, and operator toil by workflow.
  2. Separate required freshness from habitual polling and replace supported polling loops with verified webhooks.
  3. Set per-workload request and complexity budgets below the applicable shared limits.
  4. Reduce fields, page sizes, fan-out, duplicate reads, and retention while preserving correctness and audit needs.
  5. Load-test with synthetic data and compare before/after throughput, freshness, and failure recovery.
  6. Verify current plan terms with the workspace owner before presenting monetary savings.

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Glob
    • Grep
    • WebFetch
    • Write
    • Edit

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • linear.app

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • API_KEY
    • ACCESS_TOKEN

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code; live verification requires network access and an approved Linear workspace credential

    From compatibility in the SKILL.md frontmatter.

Context cost

Linear Cost Tuning loads about 1.2k tokens when it runs, and up to ~2k if it reads all its reference files. Until then it costs about 82 tokens; SKILL.md has 476 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~82
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 476 words, ~1,201 tokens.

Download SKILL.mdSave it as .claude/skills/linear-cost-tuning/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
linear-cost-tuning
description
Analyze and reduce the infrastructure and quota cost of a Linear integration through workload accounting, query budgets, and push-based updates. Use when a sync is wasteful, throttled, or expensive to operate. Trigger with "reduce Linear API load", "budget Linear queries", or "tune Linear integration cost".
allowed-tools
Read, Glob, Grep, WebFetch, Write, Edit
compatibility
Designed for Claude Code; live verification requires network access and an approved Linear workspace credential
argument-hint
[repository-path] [workload-or-budget]
version
1.13.0
author
Jeremy Longshore <jeremy@intentsolutions.io>
license
MIT
tags
saas, linear, capacity-tuning
model
inherit
effort
high

Linear Workload and Capacity Tuning

Overview

Treat cost as the integration's compute, queue, storage, support, and quota consumption; do not claim a fixed Linear API price from cached documentation.

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

  • Linear publishes request and complexity budgets, not a universal per-request price; plan and contract entitlements are dynamic.
  • Polling is discouraged; webhooks are the primary change signal when supported.
  • Filtering, explicit page sizes, narrow field selection, and updated-time ordering reduce both query complexity and local processing.

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. Measure requests, complexity, payload bytes, queue time, retries, storage growth, and operator toil by workflow.
  2. Separate required freshness from habitual polling and replace supported polling loops with verified webhooks.
  3. Set per-workload request and complexity budgets below the applicable shared limits.
  4. Reduce fields, page sizes, fan-out, duplicate reads, and retention while preserving correctness and audit needs.
  5. Load-test with synthetic data and compare before/after throughput, freshness, and failure recovery.
  6. Verify current plan terms with the workspace owner before presenting monetary savings.
Show full SKILL.md (176 more words)Show less

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
No baselineInstrument the workload before proposing savings.
Quota confused with priceReport request/complexity consumption separately from commercial terms.
Webhook gapKeep a bounded reconciliation job for unsupported or missed events.
Optimization changes semanticsReject it and preserve correctness over a smaller metric.

Examples

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

Input:

text
requests-hour=1800; complexity-hour=1200000; polling=60s; freshness-slo=5m

Expected handoff:

text
push-candidates=identified; budget=headroom-set; price-claim=none

Resources

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/.curated/linear-cost-tuning of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/official-docs.md

Open the folder on GitHubat commit cfae287

Compare with similar skills

Linear Cost Tuning next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Linear Cost Tuning compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Linear Cost Tuning this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.2kAutomated safety check: PassMIT
Configure Authdotnet/skills5.6k1 repos~1.8kAutomated safety check: PassMIT
Sync State Invariantsopenchamber/openchamber11k—~2.7kAutomated safety check: PassMIT
Fastllm Limits Budgetsazrtydxb/Fastllm-proxy108—~467Automated safety check: PassApache-2.0
Unit Commitment Operating Rulesbenchflow-ai/skillsbench1.8k—~2kAutomated safety check: PassApache-2.0
Pp Squaremvanhorn/printing-press-library2.1k—~15kAutomated safety check: NotesApache-2.0

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Works with

Categories

Questions about Linear Cost Tuning

What does Linear Cost Tuning do?

Analyze and reduce the infrastructure and quota cost of a Linear integration through workload accounting, query budgets, and push-based updates. Linear Cost Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Analyze and reduce the infrastructure and quota cost of a Linear integration through workload accounting, query budgets, and push-based updates.

When should I use Linear Cost Tuning?

Linear Cost Tuning fits situations like: A sync is wasteful; expensive to operate; with reduce Linear API load; budget Linear queries.

How do I install Linear Cost Tuning in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill linear-cost-tuning -a claude-code`. Or copy the skill folder (skills/.curated/linear-cost-tuning in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/linear-cost-tuning in your project. Claude Code loads it when a task matches its description.

How do I install Linear Cost Tuning in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill linear-cost-tuning -a codex`. Or copy the skill folder (skills/.curated/linear-cost-tuning in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/linear-cost-tuning in your project. Codex loads it when a task matches its description.

Can I use Linear Cost Tuning in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill linear-cost-tuning -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/linear-cost-tuning, .gemini/skills/linear-cost-tuning, .github/skills/linear-cost-tuning and .opencode/skills/linear-cost-tuning in your project.

What does Linear Cost Tuning need to run?

Going by SKILL.md and its folder, Linear Cost Tuning needs credentials named API_KEY and ACCESS_TOKEN. Our summary lists: A credential in API_KEY; A credential in ACCESS_TOKEN. Its frontmatter pre-approves these tools: Read, Glob, Grep, WebFetch, Write, Edit. Compatibility (from SKILL.md): Designed for Claude Code; live verification requires network access and an approved Linear workspace credential.

Does Linear Cost Tuning access the network?

SKILL.md names 1 domain. As links in the text: linear.app. This is read from the text; nothing was executed.

Is Linear Cost Tuning safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Linear Cost Tuning use?

Linear Cost Tuning is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Linear Cost Tuning use?

About 1.2k tokens (SKILL.md is roughly 4.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 815 tokens, read only when the agent opens those files.

What are the alternatives to Linear Cost Tuning?

Skills that share tags, products or a category with Linear Cost Tuning: Configure Auth (dotnet/skills, 5.6k stars), Sync State Invariants (openchamber/openchamber, 11k stars), Fastllm Limits Budgets (azrtydxb/Fastllm-proxy, 108 stars) and Unit Commitment Operating Rules (benchflow-ai/skillsbench, 1.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Linear Cost Tuning?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.