Impeccable
bestofjs/bestofjs
A skill your agent uses when the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a…
Optimize Gamma API performance and reduce latency. An agent skill from jeremylongshore/tons-of-skills-marketplace.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill gamma-performance-tuning -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace gamma-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/gamma-performance-tuning .claude/skills/gamma-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 "gamma-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/gamma-performance-tuning into .claude/skills/gamma-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gamma-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/gamma-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 gamma-performance-tuning -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace gamma-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/gamma-performance-tuning .agents/skills/gamma-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 "gamma-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/gamma-performance-tuning into .agents/skills/gamma-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gamma-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 gamma-performance-tuning -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace gamma-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/gamma-performance-tuning .cursor/skills/gamma-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 "gamma-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/gamma-performance-tuning into .cursor/skills/gamma-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gamma-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/gamma-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 gamma-performance-tuning -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace gamma-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/gamma-performance-tuning .gemini/skills/gamma-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 "gamma-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/gamma-performance-tuning into .gemini/skills/gamma-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gamma-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 gamma-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 gamma-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/gamma-performance-tuning .github/skills/gamma-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 "gamma-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/gamma-performance-tuning into .github/skills/gamma-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gamma-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 gamma-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 gamma-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/gamma-performance-tuning .opencode/skills/gamma-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 "gamma-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/gamma-performance-tuning into .opencode/skills/gamma-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gamma-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.
gamma-performance-tuningOptimize Gamma API performance and reduce latency. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Gamma Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Optimize Gamma API performance and reduce latency. Use when experiencing slow response times, optimizing throughput, or improving user experience with Gamma integrations. Trigger with phrases like "gamma performance", "gamma slow", "gamma latency", "gamma optimization", "gamma speed".
Its SKILL.md is about 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/implementation.md`). Compatibility notes: Designed for Claude Code
It sits in Frontend & Design, covering UX design. 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.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are typescript).
From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
public-api.gamma.appAlso links to:
github.comdevelopers.gamma.appFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Designed for Claude Code
From compatibility in the SKILL.md frontmatter.
Gamma Performance Tuning loads about 2k tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 78 tokens; SKILL.md has 275 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.
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.
The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 275 words, ~2,026 tokens.
.claude/skills/gamma-performance-tuning/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Publish a tuning receipt with baseline/post-change aggregate metrics, change owner, canary result, and rollback state. Do not include source content, viewer data, or tokens.
Optimize a fictional staging deck, compare aggregate load/render metrics, and roll back if a synthetic sharing or accessibility check regresses.
Optimize Gamma API integration performance. Gamma's generate-poll-retrieve pattern means most latency is in generation time (10-60s), not API call overhead. Optimize by: reducing poll overhead, parallelizing batch operations, caching results, and choosing the right generation parameters.
gamma-sdk-patterns)| Operation | Typical Latency | Notes |
|---|---|---|
POST /generations | 200-500ms | Just starts the generation |
GET /generations/{id} (poll) | 100-300ms | Per poll request |
| Full generation (poll to completion) | 10-60s | Depends on content + cards |
GET /themes | 100-200ms | Cacheable |
GET /folders | 100-200ms | Cacheable |
// src/gamma/smart-poll.ts
// Adaptive polling: start fast, slow down over time
export async function smartPoll(
gamma: GammaClient,
generationId: string,
opts = { maxTimeMs: 180000 }
): Promise<GenerateResult> {
const deadline = Date.now() + opts.maxTimeMs;
let interval = 2000; // Start at 2s
while (Date.now() < deadline) {
const result = await gamma.poll(generationId);
if (result.status === "completed") return result;
if (result.status === "failed") throw new Error("Generation failed");
// Adaptive backoff: poll faster early, slower later
await new Promise((r) => setTimeout(r, interval));
interval = Math.min(interval * 1.5, 10000); // Max 10s between polls
}
throw new Error(`Poll timeout after ${opts.maxTimeMs}ms`);
}// src/gamma/cache.ts
import NodeCache from "node-cache";
const cache = new NodeCache({ stdTTL: 3600 }); // 1 hour for static data
export async function getCachedThemes(gamma: GammaClient) {
const key = "gamma:themes";
const cached = cache.get(key);
if (cached) return cached;
const themes = await gamma.listThemes();
cache.set(key, themes);
return themes;
}
export async function getCachedFolders(gamma: GammaClient) {
const key = "gamma:folders";
const cached = cache.get(key);
if (cached) return cached;
const folders = await gamma.listFolders();
cache.set(key, folders);
return folders;
}
// Cache generation results (useful for showing status)
export async function cacheGenerationResult(
generationId: string,
result: GenerateResult
) {
cache.set(`gamma:gen:${generationId}`, result, 86400); // 24 hours
}// src/gamma/batch.ts
import pLimit from "p-limit";
const limit = pLimit(3); // Max 3 concurrent generations
export async function batchGenerate(
gamma: GammaClient,
requests: Array<{ content: string; exportAs?: string }>
): Promise<Array<{ index: number; result?: GenerateResult; error?: string }>> {
const results = await Promise.allSettled(
requests.map((req, index) =>
limit(async () => {
const { generationId } = await gamma.generate({
content: req.content,
outputFormat: "presentation",
exportAs: req.exportAs,
});
const result = await smartPoll(gamma, generationId);
return { index, result };
})
)
);
return results.map((r, i) => {
if (r.status === "fulfilled") return r.value;
return { index: i, error: (r.reason as Error).message };
});
}// Shorter content = faster generation
// "brief" text = fewer AI-generated words per card = faster
// SLOWER: extensive text on many cards
await gamma.generate({
content: "Comprehensive 20-card guide to machine learning...",
outputFormat: "presentation",
textAmount: "extensive", // More text per card = slower
});
// FASTER: brief text, fewer implied cards
await gamma.generate({
content: "5-card overview of ML basics: supervised, unsupervised, reinforcement, deep learning, applications",
outputFormat: "presentation",
textAmount: "brief", // Less text per card = faster
});
// FASTEST: preserve mode (no AI text generation)
await gamma.generate({
content: "Your pre-written slide content here...",
outputFormat: "presentation",
textMode: "preserve", // Uses your text as-is, no AI rewriting
});// src/gamma/preload.ts
// Fetch themes and folders at app startup, not per-request
let preloaded = false;
export async function preloadGammaData(gamma: GammaClient) {
if (preloaded) return;
const [themes, folders] = await Promise.all([
gamma.listThemes(),
gamma.listFolders(),
]);
// Cache for the session
cache.set("gamma:themes", themes, 0); // No TTL (until restart)
cache.set("gamma:folders", folders, 0);
preloaded = true;
console.log(`Preloaded ${themes.length} themes, ${folders.length} folders`);
}// src/gamma/optimized-client.ts
import http from "node:http";
import https from "node:https";
// Reuse TCP connections
const agent = new https.Agent({
keepAlive: true,
maxSockets: 10,
keepAliveMsecs: 60000,
});
export function createOptimizedClient(apiKey: string) {
const base = "https://public-api.gamma.app/v1.0";
const headers = { "X-API-KEY": apiKey, "Content-Type": "application/json" };
async function request(method: string, path: string, body?: unknown) {
const res = await fetch(`${base}${path}`, {
method, headers,
body: body ? JSON.stringify(body) : undefined,
// @ts-ignore — agent support in Node.js
agent,
});
if (!res.ok) throw new Error(`Gamma ${res.status}`);
return res.json();
}
return {
generate: (body: any) => request("POST", "/generations", body),
poll: (id: string) => request("GET", `/generations/${id}`),
listThemes: () => request("GET", "/themes"),
listFolders: () => request("GET", "/folders"),
};
}| Operation | Target | Action if Exceeded |
|---|---|---|
| Theme/folder lookup | < 50ms (cached) | Verify cache hit |
| Generation start | < 500ms | Check network latency |
| Full generation (5 cards) | < 30s | Use textAmount: "brief" |
| Full generation (10+ cards) | < 60s | Split into smaller decks |
| Batch of 10 presentations | < 3 min | Use concurrency limit of 3 |
| Issue | Cause | Solution |
|---|---|---|
| High latency on first request | Cold TCP connection | Use keep-alive agent |
| Cache miss storm | Cache expired simultaneously | Stagger TTLs |
| Batch rate limiting | Too many concurrent requests | Reduce p-limit concurrency |
| Poll timeout | Complex generation | Increase timeout, simplify content |
Proceed to gamma-cost-tuning for credit optimization.
© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (references) in skills/.curated/gamma-performance-tuning of jeremylongshore/tons-of-skills-marketplace.
Open the folder on GitHubat commit cfae287
Gamma 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 |
|---|---|---|---|---|---|---|
| Gamma Performance Tuning this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~2k | Automated safety check: Pass | MIT | |
| Impeccablebestofjs/bestofjs | 3.1k | 26 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Interface Design for Dashboards and Appsholaboss-ai/holaOS | 11k | 3 repos | ~6k | Automated safety check: Pass | MIT | |
| Animategrowupanand/ConvoForm | 102 | 6 repos | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Migrate Content Iadocker/docs | 4.7k | — | ~5.1k | Automated safety check: Pass | Apache-2.0 | |
| UX WalkthroughXiaoMi/hiui | 879 | — | ~1.3k | Automated safety check: Pass | MIT |
bestofjs/bestofjs
A skill your agent uses when the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a…
holaboss-ai/holaOS
Pushes an agent past generic defaults when designing dashboards, admin panels, SaaS apps and tools, with attention to structure, type, navigation and how data is shown.
growupanand/ConvoForm
Review a feature and enhance it with purposeful animations, micro-interactions, and motion effects that improve usability and delight.
docker/docs
Handle Hugo docs information-architecture moves: discover old vs new URLs, add front matter aliases (Phase 1), update in-repo links (Phase 2), interactive List 2 resolution and fragment validation…
XiaoMi/hiui
体验走查 skill。适用于代码库、URL、截图三种输入,输出结构化体验问题报告,并同步生成本地 docx 报告。触发词:体验走查、UX review、交互走查、界面审查、体验问题。
rome-os/rome
Audit a design system's color palette against measurable color-science disciplines — WCAG/APCA contrast of declared token pairs, perceptual (OKLCH) ramp uniformity, color-blindness safety of…
jeremylongshore/tons-of-skills-marketplace
Execute this skill enables AI assistant to conduct a security-focused code review using the security-agent plugin.
jeremylongshore/tons-of-skills-marketplace
Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques.
jeremylongshore/tons-of-skills-marketplace
Execute proactive auto-loading: automatically detects and loads agents.md files.
jeremylongshore/tons-of-skills-marketplace
Aggregate and centralize performance metrics from applications, systems, databases, caches, and services.
jeremylongshore/tons-of-skills-marketplace
Execute this skill enables AI assistant to analyze capacity requirements and plan for future growth.
jeremylongshore/tons-of-skills-marketplace
Process use when you need to work with database indexing. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Categories
Optimize Gamma API performance and reduce latency. An agent skill from jeremylongshore/tons-of-skills-marketplace. Gamma Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Optimize Gamma API performance and reduce latency.
Gamma Performance Tuning fits situations like: experiencing slow response times; optimizing throughput; improving user experience with Gamma integrations; with phrases like gamma performance.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill gamma-performance-tuning -a claude-code`. Or copy the skill folder (skills/.curated/gamma-performance-tuning in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/gamma-performance-tuning in your project. Claude Code loads it when a task matches its description.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill gamma-performance-tuning -a codex`. Or copy the skill folder (skills/.curated/gamma-performance-tuning in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/gamma-performance-tuning in your project. Codex loads it when a task matches its description.
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 gamma-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/gamma-performance-tuning, .gemini/skills/gamma-performance-tuning, .github/skills/gamma-performance-tuning and .opencode/skills/gamma-performance-tuning in your project.
SKILL.md names no scripts, command-line tools or credentials: Gamma Performance Tuning is instructions for the agent only. Our summary lists: Node.js. Its frontmatter pre-approves these tools: Read, Write, Edit. Compatibility (from SKILL.md): Designed for Claude Code.
SKILL.md names 3 domains. In commands or code: public-api.gamma.app; the agent is likely to contact it when it follows the instructions. As links in the text: github.com and developers.gamma.app. This is read from the text; nothing was executed.
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.
Gamma 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.
About 2k tokens (SKILL.md is roughly 8.1k 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 765 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Gamma Performance Tuning: Impeccable (bestofjs/bestofjs, 3.1k stars), Interface Design for Dashboards and Apps (holaboss-ai/holaOS, 11k stars), Animate (growupanand/ConvoForm, 102 stars) and Migrate Content Ia (docker/docs, 4.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.