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Agent skill

Exa Performance Tuning

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

Tune Exa search type, content mode, freshness, result count, and concurrency against measured latency and retrieval quality.

MITAuto-check passedBackend & APIs

Install Exa Performance Tuning

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

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace exa-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/exa-performance-tuning .claude/skills/exa-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
exa-performance-tuning
GitHub stars
2.8k
Token cost
~1.2k tokens
SKILL.md length
552 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Tune Exa search type, content mode, freshness, result count, and concurrency against measured latency and retrieval quality.

  • Works in 6 steps: Build a consented benchmark set with… → Measure the current adapter end to end,… → Vary one dimension at a time: type,… → …
  • Reviewing this Exa boundary
  • SKILL.md covers Overview, Prerequisites, Current Contract and Authentication, plus 8 more sections
  • Needs EXA_API_KEY

What it does

Exa Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Tune Exa search type, content mode, freshness, result count, and concurrency against measured latency and retrieval quality. Use when operating or reviewing this Exa boundary. Trigger with "Exa performance tuning", "review Exa performance tuning", or "fix Exa performance tuning".

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 Exa work requires network access

It sits in Backend & APIs. It works with Exa. 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

  • Reviewing this Exa boundary
  • With Exa performance tuning
  • Review Exa performance tuning
  • Fix Exa performance tuning

Example prompts

  • “Exa performance tuning”
  • “review Exa performance tuning”
  • “fix Exa performance tuning”
  • “/exa-performance-tuning”

Requirements

  • A credential in EXA_API_KEY
  • Compatibility (from SKILL.md): Designed for Claude Code; live Exa work requires network access
  • Pre-approved tools (allowed-tools): Read, Glob, Grep, Write, Edit

Workflow steps

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

  1. Build a consented benchmark set with explicit relevance and freshness judgments.
  2. Measure the current adapter end to end, including queue and downstream processing.
  3. Vary one dimension at a time: type, result count, content mode, freshness, or subpages.
  4. Track p50, p95, errors, content size, relevance, freshness, and cost together.
  5. Choose separate profiles for interactive, background, and deep-research paths.
  6. Canary the winning profile and retain rollback thresholds.

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
    • 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

    No URLs in SKILL.md.

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

  • Credentials

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

    • EXA_API_KEY

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

  • Compatibility

    Designed for Claude Code; live Exa work requires network access

    From compatibility in the SKILL.md frontmatter.

Context cost

Exa Performance Tuning loads about 1.2k tokens when it runs, and up to ~1.7k if it reads all its reference files. Until then it costs about 76 tokens; SKILL.md has 552 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~76
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
~1.7k

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). 552 words, ~1,206 tokens.

Download SKILL.mdSave it as .claude/skills/exa-performance-tuning/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
exa-performance-tuning
description
Tune Exa search type, content mode, freshness, result count, and concurrency against measured latency and retrieval quality. Use when operating or reviewing this Exa boundary. Trigger with "Exa performance tuning", "review Exa performance tuning", or "fix Exa performance tuning".
allowed-tools
Read, Glob, Grep, Write, Edit
compatibility
Designed for Claude Code; live Exa work requires network access
argument-hint
<workload> <latency-slo> <quality-metric>
version
1.12.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, exa
model
inherit
effort
high

Exa Latency and Retrieval Performance Tuning

Overview

Tune Exa search type, content mode, freshness, result count, and concurrency against measured latency and retrieval quality. Treat credentials, queries, retrieved content, generated output, spend, and destructive state as separately governed boundaries.

Prerequisites

  • The target repository, environment, Exa team, product surface, and accountable owner.
  • The workload's data classification, latency and freshness promise, cost ceiling, and retention policy.
  • Current first-party documentation plus credentials only for a narrowly approved live check.

Current Contract

Search types trade latency and synthesis depth; content extraction, outputSchema, forced livecrawl, summaries, and subpages add work. Highlights are usually more token-efficient than full text. Published latency values are guidance, not a service-specific SLO.

Authentication

For normal REST work, inject EXA_API_KEY from an approved server-side secret manager and send it only as Authorization: Bearer to the configured first-party Exa API host. Team Management service keys, hosted MCP OAuth or enterprise managed authorization, and payment-protocol calls are separate trust models. Never print, commit, place in a URL, or expose a credential to an untrusted client.

Instructions

  1. Build a consented benchmark set with explicit relevance and freshness judgments.
  2. Measure the current adapter end to end, including queue and downstream processing.
  3. Vary one dimension at a time: type, result count, content mode, freshness, or subpages.
  4. Track p50, p95, errors, content size, relevance, freshness, and cost together.
  5. Choose separate profiles for interactive, background, and deep-research paths.
  6. Canary the winning profile and retain rollback thresholds.

Tool Discipline

Use Read, Glob, and Grep to inspect repository code, configuration, fixtures, and evidence. Use Write and Edit only for approved implementation or documentation changes. Do not call Exa, run paid research, create or alter a Monitor, Webset, Agent run, Batch, team, member, API key, budget, webhook, or deployment merely because this skill was invoked.

Approval Boundaries

Require an accountable owner before live queries involving sensitive intent, production credentials, spend or rate-limit changes, forced live crawling, generated summaries, external delivery, deployment, member or key changes, schedule creation, or destructive cancellation, stopping, deletion, or revocation. Read-only repository inspection and synthetic offline validation do not authorize live vendor actions.

Show full SKILL.md (200 more words)Show less

Failure Modes

  • Faster results can be less relevant or stale.
  • Forced livecrawl and deep synthesis stack latency rather than replacing it.
  • Vendor request latency alone omits queues, parsing, reranking, and model consumption.

Output

Return the operation scope, environment, team and product surface, authorization class, contract and policy decisions, deterministic validation results, content-free identifiers, status and cost counts, risks, cleanup or rollback state, and a concise pass or fail receipt. Exclude credentials, raw queries, prompts, presigned URLs, retrieved content, generated output, and customer-derived data unless separately approved.

Example

  • Compare fast plus highlights against auto plus capped text on the same query set and promote only if the quality floor holds.
  • Finish with request or resource IDs, assertion counts, cost and terminal state, rollback or deletion status, and the decision owner; never reproduce secrets or retrieved content.

Validation

Rerun the smallest relevant deterministic test, compare actual behavior with the requested outcome and current first-party contract, verify sensitive fields are absent from evidence, and confirm deadlines, terminal state, downstream retention, and rollback before reporting success.

References

Review the dated first-party evidence map before relying on any endpoint, parameter, search type, price, limit, beta, compliance, identity, retry, or lifecycle claim.

© 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/exa-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

Exa Performance 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.

Exa Performance Tuning compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Exa Performance Tuning this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.2kAutomated safety check: PassMIT
Web SearchEXboys/skilllite1702 repos~1kAutomated safety check: PassMIT
Exa Searchmxyhi/ok-skills494—~1.6kAutomated safety check: PassApache-2.0
Exa Neural Search via MCPaffaan-m/ECC277k4 repos~1.1kAutomated safety check: PassMIT
Exa Searchaffaan-m/ECC277k2 repos~544Automated safety check: PassMIT
AI RAG PipelineNeverSight/learn-skills.dev2171 repos~2kAutomated safety check: PassNone

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Works with

Categories

Questions about Exa Performance Tuning

What does Exa Performance Tuning do?

Tune Exa search type, content mode, freshness, result count, and concurrency against measured latency and retrieval quality. Exa Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Tune Exa search type, content mode, freshness, result count, and concurrency against measured latency and retrieval quality.

When should I use Exa Performance Tuning?

Exa Performance Tuning fits situations like: reviewing this Exa boundary; with Exa performance tuning; review Exa performance tuning; fix Exa performance tuning.

How do I install Exa Performance Tuning in Claude Code?

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

How do I install Exa Performance Tuning in Codex?

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

Can I use Exa 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 exa-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/exa-performance-tuning, .gemini/skills/exa-performance-tuning, .github/skills/exa-performance-tuning and .opencode/skills/exa-performance-tuning in your project.

What does Exa Performance Tuning need to run?

Going by SKILL.md and its folder, Exa Performance Tuning needs credentials named EXA_API_KEY. Our summary lists: A credential in EXA_API_KEY. Its frontmatter pre-approves these tools: Read, Glob, Grep, Write, Edit. Compatibility (from SKILL.md): Designed for Claude Code; live Exa work requires network access.

Does Exa Performance Tuning access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Exa 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 Exa Performance Tuning use?

Exa 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 Exa Performance 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 459 tokens, read only when the agent opens those files.

What are the alternatives to Exa Performance Tuning?

Skills that share tags, products or a category with Exa Performance Tuning: Web Search (EXboys/skilllite, 170 stars), Exa Search (mxyhi/ok-skills, 494 stars), Exa Neural Search via MCP (affaan-m/ECC, 277k stars) and Exa Search (affaan-m/ECC, 277k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Exa 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.