Agent skill

Attio Performance Tuning

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

Analyze and improve Attio integration latency and throughput from measured query shape, pagination, concurrency, retry, and cache evidence while preserving correctness.

MITAuto-check passedDatabases

Install Attio Performance Tuning

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

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace attio-performance-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/attio-performance-tuning .claude/skills/attio-performance-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
attio-performance-tuning
GitHub stars
2.8k
Token cost
~975 tokens
SKILL.md length
371 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Analyze and improve Attio integration latency and throughput from measured query shape, pagination, concurrency, retry, and cache evidence while preserving correctness.

  • Works in 6 steps: Measure p50, p95, failure rate, 429… → Segment by endpoint, method, filter/sort… → Verify that each paginator terminates… → …
  • Attio requests are slow
  • SKILL.md covers Overview, Prerequisites, Tool Discipline and Current Contract, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Attio Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Analyze and improve Attio integration latency and throughput from measured query shape, pagination, concurrency, retry, and cache evidence while preserving correctness. Use when Attio requests are slow or queues are backing up. Trigger with "Attio performance", "speed up Attio sync", or "Attio query tuning".

Its SKILL.md is about 980 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

It sits in Databases, covering Query optimization. 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

  • Attio requests are slow
  • Queues are backing up
  • With Attio performance
  • Speed up Attio sync

Example prompts

  • “Attio performance”
  • “speed up Attio sync”
  • “Attio query tuning”
  • “/attio-performance-tuning”

Requirements

  • Compatibility (from SKILL.md): Designed for Claude Code
  • 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 p50, p95, failure rate, 429 rate, queue age, and retry amplification for a representative window.
  2. Segment by endpoint, method, filter/sort shape, page size, and workspace.
  3. Verify that each paginator terminates according to its endpoint contract and does not refetch pages.
  4. Rank hypotheses such as simpler filters, lower concurrency, bounded caching, change detection, or webhook-assisted work.
  5. Change one variable, retain correctness assertions, and compare with the same workload.
  6. Roll back when error rate, stale-data risk, or queue age crosses the declared threshold.

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):

    • docs.attio.com

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

  • Credentials

    Names no API keys, tokens, secrets or passwords.

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

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Attio Performance Tuning loads about 975 tokens when it runs, and up to ~1.5k if it reads all its reference files. Until then it costs about 84 tokens; SKILL.md has 371 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~84
When it runs · the whole SKILL.md, loaded when a task matches
~975
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.5k

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). 371 words, ~975 tokens.

Download SKILL.mdSave it as .claude/skills/attio-performance-tuning/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
attio-performance-tuning
description
Analyze and improve Attio integration latency and throughput from measured query shape, pagination, concurrency, retry, and cache evidence while preserving correctness. Use when Attio requests are slow or queues are backing up. Trigger with "Attio performance", "speed up Attio sync", or "Attio query tuning".
allowed-tools
Read, Glob, Grep, WebFetch, Write, Edit
compatibility
Designed for Claude Code
argument-hint
[repository-path] [measurement-window]
version
1.8.0
author
Jeremy Longshore <jeremy@intentsolutions.io>
license
MIT
tags
saas, attio, performance
model
inherit
effort
high

Attio Query and Sync Performance

Overview

This skill tunes observed bottlenecks without promising a universal latency target. It keeps query complexity, rate limits, freshness, and mutation safety visible.

Prerequisites

  • Latency distributions by endpoint and operation
  • Queue depth, concurrency, retry, and 429 metrics
  • Representative query filters, sorts, and object or list sizes
  • A correctness baseline for synchronized fields

Tool Discipline

Use Read, Glob, and Grep to inspect query construction, pagination, concurrency, caches, and telemetry. Use WebFetch only for current official Attio documentation. Use Write or Edit after a measured hypothesis and rollback threshold are stated.

Current Contract

  • Attio publishes separate global limits for reads and writes and score-based limits for record and entry queries.
  • Complex filters and sorts can increase query score; raw request concurrency is not the only load variable.
  • Pagination may be offset-based or cursor-based depending on the endpoint.
  • Cache object and attribute discovery only with an explicit freshness and invalidation policy.

Authentication

Use the workload's existing least-privilege Bearer token. Performance measurement does not justify additional scopes or access to broader CRM data.

Instructions

  1. Measure p50, p95, failure rate, 429 rate, queue age, and retry amplification for a representative window.
  2. Segment by endpoint, method, filter/sort shape, page size, and workspace.
  3. Verify that each paginator terminates according to its endpoint contract and does not refetch pages.
  4. Rank hypotheses such as simpler filters, lower concurrency, bounded caching, change detection, or webhook-assisted work.
  5. Change one variable, retain correctness assertions, and compare with the same workload.
  6. Roll back when error rate, stale-data risk, or queue age crosses the declared threshold.
Show full SKILL.md (108 more words)Show less

Approval Boundaries

Do not trade away correctness, auditability, or data freshness for latency without owner approval. Do not raise concurrency merely because the published global ceiling is higher.

Output

Return baseline metrics, segmented bottleneck evidence, the selected hypothesis and change, correctness checks, comparable after-metrics, and the explicit rollback decision.

Error Handling

ConditionResponse
No representative baselineInstrument and wait for usable evidence.
Query gets 429 despite low countInspect score-based complexity and shared workspace traffic.
Optimization changes resultsRoll back and restore correctness first.
Cache serves stale schemaInvalidate it and tighten the freshness policy.

Examples

Input:

text
symptom=query queue age; endpoint=record query; window=representative peak

Expected handoff:

text
bottleneck=filter-score; change=simplified-query; correctness=pass; p95=improved

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/attio-performance-tuning of jeremylongshore/tons-of-skills-marketplace.

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

Open the folder on GitHubat commit cfae287

Compare with similar skills

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Django Orm Query Optimizationhashgraph-online/awesome-codex-plugins1.3k—~650Automated safety check: PassMIT
SQL Optimization Patternsynulihao/AgentSkillOS61811 repos~3.3kAutomated safety check: PassNone
Cloud Trace Queryinggoogle/skills21k—~1.7kAutomated safety check: PassApache-2.0
DB Ops SopOpenDCAI/DataMind451—~388Automated safety check: PassApache-2.0

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Questions about Attio Performance Tuning

What does Attio Performance Tuning do?

Analyze and improve Attio integration latency and throughput from measured query shape, pagination, concurrency, retry, and cache evidence while preserving correctness. Attio Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Analyze and improve Attio integration latency and throughput from measured query shape, pagination, concurrency, retry, and cache evidence while preserving correctness.

When should I use Attio Performance Tuning?

Attio Performance Tuning fits situations like: attio requests are slow; queues are backing up; with Attio performance; speed up Attio sync.

How do I install Attio Performance Tuning in Claude Code?

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

How do I install Attio Performance Tuning in Codex?

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

Can I use Attio Performance 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 attio-performance-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/attio-performance-tuning, .gemini/skills/attio-performance-tuning, .github/skills/attio-performance-tuning and .opencode/skills/attio-performance-tuning in your project.

What does Attio Performance Tuning need to run?

SKILL.md names no scripts, command-line tools or credentials: Attio Performance Tuning is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Glob, Grep, WebFetch, Write, Edit. Compatibility (from SKILL.md): Designed for Claude Code.

Does Attio Performance Tuning access the network?

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

Is Attio Performance 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 Attio Performance Tuning use?

Attio Performance 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 Attio Performance Tuning use?

About 975 tokens (SKILL.md is roughly 3.9k 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 528 tokens, read only when the agent opens those files.

What are the alternatives to Attio Performance Tuning?

Skills that share tags, products or a category with Attio Performance Tuning: Pp Bing Webmaster (mvanhorn/printing-press-library, 2.1k stars), Django Orm Query Optimization (hashgraph-online/awesome-codex-plugins, 1.3k stars), SQL Optimization Patterns (ynulihao/AgentSkillOS, 618 stars) and Cloud Trace Querying (google/skills, 21k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Attio Performance 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.