HyperFrames Video Entry Point
heygen-com/hyperframes
Entry point for making, editing and rendering videos from HTML compositions with HyperFrames, routing each request to the right workflow.
Production SDK patterns for Kling AI: client wrapper, retry logic, async polling, and error handling.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill klingai-sdk-patterns -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace klingai-sdk-patterns --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/klingai-sdk-patterns .claude/skills/klingai-sdk-patterns && 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 "klingai-sdk-patterns" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/klingai-sdk-patterns into .claude/skills/klingai-sdk-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "klingai-sdk-patterns", 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/klingai-sdk-patternsType 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 klingai-sdk-patterns -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace klingai-sdk-patterns --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/klingai-sdk-patterns .agents/skills/klingai-sdk-patterns && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "klingai-sdk-patterns" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/klingai-sdk-patterns into .agents/skills/klingai-sdk-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "klingai-sdk-patterns", 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 klingai-sdk-patterns -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace klingai-sdk-patterns --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/klingai-sdk-patterns .cursor/skills/klingai-sdk-patterns && 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 "klingai-sdk-patterns" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/klingai-sdk-patterns into .cursor/skills/klingai-sdk-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "klingai-sdk-patterns", 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/klingai-sdk-patterns--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 klingai-sdk-patterns -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace klingai-sdk-patterns --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/klingai-sdk-patterns .gemini/skills/klingai-sdk-patterns && 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 "klingai-sdk-patterns" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/klingai-sdk-patterns into .gemini/skills/klingai-sdk-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "klingai-sdk-patterns", 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 klingai-sdk-patternsInstalls 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 klingai-sdk-patterns -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/klingai-sdk-patterns .github/skills/klingai-sdk-patterns && 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 "klingai-sdk-patterns" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/klingai-sdk-patterns into .github/skills/klingai-sdk-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "klingai-sdk-patterns", 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 klingai-sdk-patterns -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 klingai-sdk-patterns --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/klingai-sdk-patterns .opencode/skills/klingai-sdk-patterns && 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 "klingai-sdk-patterns" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/klingai-sdk-patterns into .opencode/skills/klingai-sdk-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "klingai-sdk-patterns", 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.
klingai-sdk-patternsProduction SDK patterns for Kling AI: client wrapper, retry logic, async polling, and error handling.
Klingai SDK Patterns is an agent skill from jeremylongshore/tons-of-skills-marketplace. Production SDK patterns for Kling AI: client wrapper, retry logic, async polling, and error handling. Use when building robust integrations. Trigger with phrases like 'klingai sdk', 'kling ai client', 'klingai patterns', 'kling ai wrapper'.
Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `references/error-handling-pattern.md`, `references/errors.md` and `references/examples.md`). Compatibility notes: Designed for Claude Code
It sits in Media & Creative, covering AI video generation and Error handling. 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.
4 steps, taken from the first numbered list 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:
ReadWriteEditBash(npm:*)GrepFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are python and javascript).
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:
api.klingai.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
KLING_ACCESS_KEYKLING_SECRET_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Designed for Claude Code
From compatibility in the SKILL.md frontmatter.
Klingai SDK Patterns loads about 2.6k tokens when it runs, and up to ~5.5k if it reads all its reference files. Until then it costs about 65 tokens; SKILL.md has 217 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). 217 words, ~2,585 tokens.
.claude/skills/klingai-sdk-patterns/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.Production-ready client patterns for the Kling AI API. Covers auto-refreshing JWT, typed request/response models, exponential backoff polling, async batch submission, and structured error handling.
import jwt
import time
import os
import requests
from dataclasses import dataclass, field
from typing import Optional
@dataclass
class KlingConfig:
access_key: str = field(default_factory=lambda: os.environ["KLING_ACCESS_KEY"])
secret_key: str = field(default_factory=lambda: os.environ["KLING_SECRET_KEY"])
base_url: str = "https://api.klingai.com/v1"
token_buffer_sec: int = 300
poll_interval_sec: int = 10
max_poll_attempts: int = 120 # 20 minutes max
timeout_sec: int = 30
class KlingClient:
"""Production Kling AI client with auto-refreshing JWT."""
def __init__(self, config: Optional[KlingConfig] = None):
self.config = config or KlingConfig()
self._token = None
self._token_expires = 0
@property
def _headers(self) -> dict:
now = int(time.time())
if now >= (self._token_expires - self.config.token_buffer_sec):
payload = {"iss": self.config.access_key, "exp": now + 1800, "nbf": now - 5}
self._token = jwt.encode(payload, self.config.secret_key,
algorithm="HS256",
headers={"alg": "HS256", "typ": "JWT"})
self._token_expires = now + 1800
return {"Authorization": f"Bearer {self._token}",
"Content-Type": "application/json"}
def _post(self, path: str, body: dict) -> dict:
r = requests.post(f"{self.config.base_url}{path}",
headers=self._headers, json=body,
timeout=self.config.timeout_sec)
r.raise_for_status()
return r.json()
def _get(self, path: str) -> dict:
r = requests.get(f"{self.config.base_url}{path}",
headers=self._headers,
timeout=self.config.timeout_sec)
r.raise_for_status()
return r.json()
def _poll_task(self, endpoint: str, task_id: str) -> dict:
"""Poll with exponential backoff until task completes."""
interval = self.config.poll_interval_sec
for attempt in range(self.config.max_poll_attempts):
time.sleep(interval)
result = self._get(f"{endpoint}/{task_id}")
status = result["data"]["task_status"]
if status == "succeed":
return result["data"]["task_result"]
elif status == "failed":
raise KlingGenerationError(result["data"].get("task_status_msg", "Unknown"))
# Increase interval up to 30s max
interval = min(interval * 1.2, 30)
raise KlingTimeoutError(f"Task {task_id} did not complete in time")
# --- Public API ---
def text_to_video(self, prompt: str, **kwargs) -> dict:
body = {"model_name": kwargs.get("model", "kling-v2-master"),
"prompt": prompt,
"duration": str(kwargs.get("duration", 5)),
"aspect_ratio": kwargs.get("aspect_ratio", "16:9"),
"mode": kwargs.get("mode", "standard")}
if kwargs.get("negative_prompt"):
body["negative_prompt"] = kwargs["negative_prompt"]
if kwargs.get("cfg_scale") is not None:
body["cfg_scale"] = kwargs["cfg_scale"]
if kwargs.get("callback_url"):
body["callback_url"] = kwargs["callback_url"]
task = self._post("/videos/text2video", body)
task_id = task["data"]["task_id"]
if kwargs.get("wait", True):
return self._poll_task("/videos/text2video", task_id)
return {"task_id": task_id}
def image_to_video(self, image_url: str, **kwargs) -> dict:
body = {"model_name": kwargs.get("model", "kling-v2-1"),
"image": image_url,
"duration": str(kwargs.get("duration", 5)),
"mode": kwargs.get("mode", "standard")}
if kwargs.get("prompt"):
body["prompt"] = kwargs["prompt"]
task = self._post("/videos/image2video", body)
task_id = task["data"]["task_id"]
if kwargs.get("wait", True):
return self._poll_task("/videos/image2video", task_id)
return {"task_id": task_id}
def extend_video(self, task_id: str, **kwargs) -> dict:
body = {"task_id": task_id,
"prompt": kwargs.get("prompt", ""),
"duration": str(kwargs.get("duration", 5)),
"mode": kwargs.get("mode", "standard")}
result = self._post("/videos/video-extend", body)
new_task_id = result["data"]["task_id"]
if kwargs.get("wait", True):
return self._poll_task("/videos/video-extend", new_task_id)
return {"task_id": new_task_id}
class KlingError(Exception):
pass
class KlingGenerationError(KlingError):
pass
class KlingTimeoutError(KlingError):
passclient = KlingClient()
# Synchronous (waits for result)
result = client.text_to_video(
"A cat playing piano in a jazz club",
model="kling-v2-6",
mode="professional",
duration=5,
)
print(result["videos"][0]["url"])
# Fire-and-forget (returns task_id)
task = client.text_to_video("Ocean waves at sunset", wait=False)
print(f"Submitted: {task['task_id']}")import jwt from "jsonwebtoken";
class KlingClient {
#token = null;
#tokenExp = 0;
constructor(ak = process.env.KLING_ACCESS_KEY, sk = process.env.KLING_SECRET_KEY) {
this.ak = ak;
this.sk = sk;
this.base = "https://api.klingai.com/v1";
}
#getHeaders() {
const now = Math.floor(Date.now() / 1000);
if (now >= this.#tokenExp - 300) {
this.#token = jwt.sign(
{ iss: this.ak, exp: now + 1800, nbf: now - 5 },
this.sk, { algorithm: "HS256", header: { typ: "JWT" } }
);
this.#tokenExp = now + 1800;
}
return { Authorization: `Bearer ${this.#token}`, "Content-Type": "application/json" };
}
async textToVideo(prompt, opts = {}) {
const res = await fetch(`${this.base}/videos/text2video`, {
method: "POST",
headers: this.#getHeaders(),
body: JSON.stringify({
model_name: opts.model ?? "kling-v2-master",
prompt,
duration: String(opts.duration ?? 5),
aspect_ratio: opts.aspectRatio ?? "16:9",
mode: opts.mode ?? "standard",
}),
});
const { data } = await res.json();
return opts.wait === false ? data : this.#poll("/videos/text2video", data.task_id);
}
async #poll(endpoint, taskId, interval = 10000) {
for (let i = 0; i < 120; i++) {
await new Promise((r) => setTimeout(r, interval));
const res = await fetch(`${this.base}${endpoint}/${taskId}`, {
headers: this.#getHeaders(),
});
const { data } = await res.json();
if (data.task_status === "succeed") return data.task_result;
if (data.task_status === "failed") throw new Error(data.task_status_msg);
interval = Math.min(interval * 1.2, 30000);
}
throw new Error(`Timeout: task ${taskId}`);
}
}import functools
def retry_on_transient(max_retries=3, backoff_base=2):
"""Retry on 429 (rate limit) and 5xx (server) errors."""
def decorator(fn):
@functools.wraps(fn)
def wrapper(*args, **kwargs):
for attempt in range(max_retries + 1):
try:
return fn(*args, **kwargs)
except requests.HTTPError as e:
if e.response.status_code in (429, 500, 502, 503) and attempt < max_retries:
wait = backoff_base ** attempt
time.sleep(wait)
continue
raise
return wrapper
return decorator
# Apply to client methods
KlingClient._post = retry_on_transient()(KlingClient._post)Produce an SDK receipt with version, environment, test classification, retry/idempotency result, aggregate task outcome, policy/rights/budget checks, draft-only assertion, approver, and cleanup/rollback reference. Exclude prompts, assets, identities, and secrets.
| Condition | Response |
|---|---|
| Retry creates duplicate work | Cancel duplicate tasks, preserve only aggregate redacted evidence, and enforce idempotency before retrying. |
| Policy, rights, budget, or retention drift | Stop the canary, remove drafts, and restore the approved SDK configuration. |
sdk=pinned; env=ci-sandbox; retry=bounded; idempotency=pass; policy=pass; destination=draft-only; cleanup=verified is an acceptable pattern test.
© 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 5 other files (references) in skills/.curated/klingai-sdk-patterns of jeremylongshore/tons-of-skills-marketplace.
Open the folder on GitHubat commit cfae287
Klingai SDK Patterns 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 |
|---|---|---|---|---|---|---|
| Klingai SDK Patterns this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~2.6k | Automated safety check: Pass | MIT | |
| HyperFrames Video Entry Pointheygen-com/hyperframes | 60k | 3 repos | ~5.2k | Automated safety check: Pass | Apache-2.0 | |
| Seedance 3D Cgibeshuaxian/higgsfield-seedance2-jineng | 952 | — | ~18k | Automated safety check: Pass | None | |
| Cinematic PromptLingyiChen-AI/image-prompts | 106 | — | ~920 | Automated safety check: Pass | None | |
| Clipmivo VideoBarneyD66/clipmivo-tools | 142 | — | ~945 | Automated safety check: Pass | MIT | |
| ComfyUI Local DriverSlavaSexton/ComfyUI-Agent-Kit | 105 | — | ~12k | Automated safety check: Pass | Apache-2.0 |
heygen-com/hyperframes
Entry point for making, editing and rendering videos from HTML compositions with HyperFrames, routing each request to the right workflow.
beshuaxian/higgsfield-seedance2-jineng
Generate 3D CGI and rendered video prompts for Seedance 2.0 on Higgsfield.
LingyiChen-AI/image-prompts
电影级全流程提示词生成。用户给出故事主题,一键生成完整 markdown 文件,包含:角色设定提示词、场景提示词、完整剧本、分镜表、每个分镜的视频生成提示词。支持 Seedance 2.0 / 即梦 / Midjourney / SD。触发词:分镜、提示词、prompt、镜头、脚本、剧本、视频生成、电影风格、Seedance、生成剧本。
BarneyD66/clipmivo-tools
Create and manage AI video tasks through ClipmivoAI using its MCP server, CLI or REST API.
SlavaSexton/ComfyUI-Agent-Kit
Drives a local ComfyUI install over its HTTP API to generate and edit images, video and audio, with per-model prompt recipes and workflow guidance.
beshuaxian/higgsfield-seedance2-jineng
为 Seedance 2.0(Higgsfield)生成三维CGI和渲染视频提示词。在用户想要三维渲染、CGI、皮克斯风格、Unreal Engine、逼真3D、计算机生成或数字渲染视频内容时使用。触发词:3D动画、CGI、渲染、Blender、Unreal Engine、octane…
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
Production SDK patterns for Kling AI: client wrapper, retry logic, async polling, and error handling. Klingai SDK Patterns is an agent skill from jeremylongshore/tons-of-skills-marketplace. Production SDK patterns for Kling AI: client wrapper, retry logic, async polling, and error handling.
Klingai SDK Patterns fits situations like: building robust integrations; with phrases like klingai sdk; kling ai client; klingai patterns.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill klingai-sdk-patterns -a claude-code`. Or copy the skill folder (skills/.curated/klingai-sdk-patterns in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/klingai-sdk-patterns in your project. Claude Code loads it when a task matches its description.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill klingai-sdk-patterns -a codex`. Or copy the skill folder (skills/.curated/klingai-sdk-patterns in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/klingai-sdk-patterns 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 klingai-sdk-patterns -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/klingai-sdk-patterns, .gemini/skills/klingai-sdk-patterns, .github/skills/klingai-sdk-patterns and .opencode/skills/klingai-sdk-patterns in your project.
Going by SKILL.md and its folder, Klingai SDK Patterns needs credentials named KLING_ACCESS_KEY and KLING_SECRET_KEY. Our summary lists: Python 3; Node.js; A credential in KLING_ACCESS_KEY; A credential in KLING_SECRET_KEY. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(npm:*), Grep. Compatibility (from SKILL.md): Designed for Claude Code.
SKILL.md names 1 domain. In commands or code: api.klingai.com; the agent is likely to contact it when it follows the instructions. 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.
Klingai SDK Patterns is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.6k tokens (SKILL.md is roughly 10k 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 2.9k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Klingai SDK Patterns: HyperFrames Video Entry Point (heygen-com/hyperframes, 60k stars), Seedance 3D Cgi (beshuaxian/higgsfield-seedance2-jineng, 952 stars), Cinematic Prompt (LingyiChen-AI/image-prompts, 106 stars) and Clipmivo Video (BarneyD66/clipmivo-tools, 142 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.