Firecrawl Scrape
firecrawl/skills
Read a known webpage or execute a discovered workflow or data-provider capability.
Agent skill
Firecrawl Performance Tuning
by jeremylongshore in jeremylongshore/tons-of-skills-marketplace
Improve Firecrawl latency and throughput through measured scope, formats, cache freshness, async selection, pagination, and concurrency controls.
Install Firecrawl Performance Tuning
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill firecrawl-performance-tuning -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace firecrawl-performance-tuning --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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/firecrawl-performance-tuning .claude/skills/firecrawl-performance-tuning && rm -rf skills-srcUse ~/.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/
Install the "firecrawl-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/firecrawl-performance-tuning into .claude/skills/firecrawl-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "firecrawl-performance-tuning", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/firecrawl-performance-tuningType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill firecrawl-performance-tuning -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace firecrawl-performance-tuning --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/.curated/firecrawl-performance-tuning .agents/skills/firecrawl-performance-tuning && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "firecrawl-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/firecrawl-performance-tuning into .agents/skills/firecrawl-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "firecrawl-performance-tuning", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill firecrawl-performance-tuning -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace firecrawl-performance-tuning --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/.curated/firecrawl-performance-tuning .cursor/skills/firecrawl-performance-tuning && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "firecrawl-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/firecrawl-performance-tuning into .cursor/skills/firecrawl-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "firecrawl-performance-tuning", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/jeremylongshore/tons-of-skills-marketplace.git --path skills/.curated/firecrawl-performance-tuning--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill firecrawl-performance-tuning -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace firecrawl-performance-tuning --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/.curated/firecrawl-performance-tuning .gemini/skills/firecrawl-performance-tuning && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "firecrawl-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/firecrawl-performance-tuning into .gemini/skills/firecrawl-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "firecrawl-performance-tuning", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install jeremylongshore/tons-of-skills-marketplace firecrawl-performance-tuningInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill firecrawl-performance-tuning -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/.curated/firecrawl-performance-tuning .github/skills/firecrawl-performance-tuning && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "firecrawl-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/firecrawl-performance-tuning into .github/skills/firecrawl-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "firecrawl-performance-tuning", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill firecrawl-performance-tuning -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace firecrawl-performance-tuning --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/.curated/firecrawl-performance-tuning .opencode/skills/firecrawl-performance-tuning && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "firecrawl-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/firecrawl-performance-tuning into .opencode/skills/firecrawl-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "firecrawl-performance-tuning", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
firecrawl-performance-tuning- GitHub stars
- 2.8k
- Token cost
- ~1.1k tokens
- SKILL.md length
- 476 words
- Files
- 2 (incl. references)
- Skills in repo
- 3,342
- Repo updated
- First seen
- Licence
- MIT
At a glance
Improve Firecrawl latency and throughput through measured scope, formats, cache freshness, async selection, pagination, and concurrency controls.
- Works in 7 steps: Define an SLO and baseline for… → Segment by operation, target class,… → Remove unnecessary formats, actions,… → …
- A valid integration is too slow
- SKILL.md covers Overview, Prerequisites, Current Contract and Authentication, plus 7 more sections
- Needs FIRECRAWL_API_KEY
What it does
Firecrawl Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Improve Firecrawl latency and throughput through measured scope, formats, cache freshness, async selection, pagination, and concurrency controls. Use when a valid integration is too slow. Trigger with "speed up Firecrawl", "Firecrawl latency", or "optimize crawl performance".
Its SKILL.md is about 1.1k 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; Firecrawl Cloud work requires network access
It sits in Data & Analytics, covering Web scraping. It works with Firecrawl. 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 valid integration is too slow
- With speed up Firecrawl
- Firecrawl latency
- Optimize crawl performance
Example prompts
- “speed up Firecrawl”
- “Firecrawl latency”
- “optimize crawl performance”
- “/firecrawl-performance-tuning”
Requirements
- A credential in FIRECRAWL_API_KEY
- Compatibility (from SKILL.md): Designed for Claude Code; Firecrawl Cloud work requires network access
- Pre-approved tools (allowed-tools): Read, Glob, Grep, Write, Edit
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Define an SLO and baseline for submission, queue, processing, pagination, validation, storage, freshness, accepted-result rate, and credits.
- Segment by operation, target class, format, cache state, origin status, content size, and async job size without putting raw URLs or…
- Remove unnecessary formats, actions, waits, screenshots, raw HTML, JSON extraction, and over-broad crawl scope before adding concurrency.
- Set maxAge or cache-only behavior only when the freshness SLA permits it. Verify cacheState and quality rather than assuming a cache hit…
- Use batch for known URL sets, async submission for long work, and complete pagination efficiently. Bound maxConcurrency below observed…
- Tune one factor per canary, compare tail latency and accepted-output quality, and watch rate, concurrency, queue, origin, and credit…
- Promote only improvements that meet all guardrails; retain baseline, candidate, and rollback evidence.
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:
ReadGlobGrepWriteEdit
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:
FIRECRAWL_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Compatibility
Designed for Claude Code; Firecrawl Cloud work requires network access
From compatibility in the SKILL.md frontmatter.
Context cost
Firecrawl Performance Tuning loads about 1.1k tokens when it runs, and up to ~1.5k if it reads all its reference files. Until then it costs about 76 tokens; SKILL.md has 476 words of instructions outside code blocks.
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, ~1,083 tokens.
Download SKILL.mdSave it as
.claude/skills/firecrawl-performance-tuning/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- firecrawl-performance-tuning
- description
- Improve Firecrawl latency and throughput through measured scope, formats, cache freshness, async selection, pagination, and concurrency controls. Use when a valid integration is too slow. Trigger with "speed up Firecrawl", "Firecrawl latency", or "optimize crawl performance".
- allowed-tools
- Read, Glob, Grep, Write, Edit
- compatibility
- Designed for Claude Code; Firecrawl Cloud work requires network access
- argument-hint
- <repository-path> <latency-or-throughput-slo>
- version
- 1.12.0
- license
- MIT
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- tags
- saas, firecrawl, performance, optimization
- model
- inherit
- effort
- high
Firecrawl Performance Tuning
Overview
Tune the whole path from submission to accepted downstream record. Preserve freshness, completeness, target policy, and cost while changing one control at a time.
Prerequisites
- The target repository or integration path and the requested operator outcome.
- The source authorization, data classification, and environment policy.
- Current Firecrawl documentation, credentials only when needed, and an owner for approvals.
Current Contract
Firecrawl v2 cache behavior is controlled by maxAge/minAge and related options; current defaults and effects belong to the scrape documentation. Crawl and batch provide waiter and asynchronous paths, pagination can dominate retrieval time, and queue wait consumes request timeout. maxConcurrency affects page processing but remains bounded by team capacity.
Authentication
For authenticated Cloud operations, inject FIRECRAWL_API_KEY from an approved secret manager. REST requests use Authorization: Bearer with the key. Never print, commit, transmit, or place a key in a URL. Keyless access is suitable only where the current documentation explicitly allows it and the workload accepts its limits; production workflows should make identity and team ownership explicit.
Instructions
- Define an SLO and baseline for submission, queue, processing, pagination, validation, storage, freshness, accepted-result rate, and credits.
- Segment by operation, target class, format, cache state, origin status, content size, and async job size without putting raw URLs or content in metrics.
- Remove unnecessary formats, actions, waits, screenshots, raw HTML, JSON extraction, and over-broad crawl scope before adding concurrency.
- Set maxAge or cache-only behavior only when the freshness SLA permits it. Verify cacheState and quality rather than assuming a cache hit is acceptable.
- Use batch for known URL sets, async submission for long work, and complete pagination efficiently. Bound maxConcurrency below observed team capacity.
- Tune one factor per canary, compare tail latency and accepted-output quality, and watch rate, concurrency, queue, origin, and credit effects.
- Promote only improvements that meet all guardrails; retain baseline, candidate, and rollback evidence.
Show full SKILL.md (163 more words)Show less
Tool Discipline
Use Read, Glob, and Grep to inspect code, configuration, tests, and evidence. Use Write/Edit only for approved implementation or documentation changes. Do not call Firecrawl, rotate keys, change account settings, scrape a target, or deploy merely because this skill was invoked.
Approval Boundaries
Require approval before reducing freshness, enabling storage/cache on sensitive sources, increasing concurrency or scope, changing formats, or accepting lower completeness.
Output
Return the baseline, bottleneck attribution, controlled experiment, configuration delta, latency/throughput/quality/cost results, queue effects, chosen setting, and rollback threshold.
Error Handling
- Faster result has stale or incomplete content: reject the optimization.
- Queue time dominates: reduce producers or change scheduling before increasing timeouts.
- Metrics mix transport and accepted-content success: repair measurement before tuning.
Examples
- "Scrapes take ten seconds" separates origin/rendering, cache, queue, and downstream time.
- "Increase all concurrency" is replaced with a stepped canary inside team and target limits.
Resources
Read official Firecrawl evidence before relying on an endpoint, SDK method, plan limit, price, retention option, or self-hosted release.
© 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/firecrawl-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
Firecrawl 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Firecrawl Performance Tuning this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Firecrawl Scrapefirecrawl/skills | 117 | — | ~1.8k | Automated safety check: Pass | ISC | |
| Firecrawl Agentfirecrawl/skills | 117 | — | ~1.2k | Automated safety check: Pass | ISC | |
| Firecrawl Company Directoriesfirecrawl/skills | 117 | — | ~557 | Automated safety check: Pass | ISC | |
| Firecrawl Competitive Intelfirecrawl/skills | 117 | — | ~604 | Automated safety check: Pass | ISC | |
| Firecrawlzapier/connectors | 177 | — | ~4.2k | Automated safety check: Pass | Elastic-2.0 |
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Questions about Firecrawl Performance Tuning
What does Firecrawl Performance Tuning do?
Improve Firecrawl latency and throughput through measured scope, formats, cache freshness, async selection, pagination, and concurrency controls. Firecrawl Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Improve Firecrawl latency and throughput through measured scope, formats, cache freshness, async selection, pagination, and concurrency controls.
When should I use Firecrawl Performance Tuning?
Firecrawl Performance Tuning fits situations like: A valid integration is too slow; with speed up Firecrawl; firecrawl latency; optimize crawl performance.
How do I install Firecrawl Performance Tuning in Claude Code?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill firecrawl-performance-tuning -a claude-code`. Or copy the skill folder (skills/.curated/firecrawl-performance-tuning in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/firecrawl-performance-tuning in your project. Claude Code loads it when a task matches its description.
How do I install Firecrawl Performance Tuning in Codex?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill firecrawl-performance-tuning -a codex`. Or copy the skill folder (skills/.curated/firecrawl-performance-tuning in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/firecrawl-performance-tuning in your project. Codex loads it when a task matches its description.
Can I use Firecrawl 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 firecrawl-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/firecrawl-performance-tuning, .gemini/skills/firecrawl-performance-tuning, .github/skills/firecrawl-performance-tuning and .opencode/skills/firecrawl-performance-tuning in your project.
What does Firecrawl Performance Tuning need to run?
Going by SKILL.md and its folder, Firecrawl Performance Tuning needs credentials named FIRECRAWL_API_KEY. Our summary lists: A credential in FIRECRAWL_API_KEY. Its frontmatter pre-approves these tools: Read, Glob, Grep, Write, Edit. Compatibility (from SKILL.md): Designed for Claude Code; Firecrawl Cloud work requires network access.
Does Firecrawl 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 Firecrawl 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 Firecrawl Performance Tuning use?
Firecrawl 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 Firecrawl Performance Tuning use?
About 1.1k tokens (SKILL.md is roughly 4.3k 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 454 tokens, read only when the agent opens those files.
What are the alternatives to Firecrawl Performance Tuning?
Skills that share tags, products or a category with Firecrawl Performance Tuning: Firecrawl Scrape (firecrawl/skills, 117 stars), Firecrawl Agent (firecrawl/skills, 117 stars), Firecrawl Company Directories (firecrawl/skills, 117 stars) and Firecrawl Competitive Intel (firecrawl/skills, 117 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Firecrawl 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.