Mirrord CI
metalbear-co/mirrord
Help users set up mirrord in CI pipelines for testing against real Kubernetes environments.
Integrate Kling AI video generation into CI/CD pipelines. An agent skill from jeremylongshore/tons-of-skills-marketplace.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill klingai-ci-integration -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace klingai-ci-integration --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-ci-integration .claude/skills/klingai-ci-integration && 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-ci-integration" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/klingai-ci-integration into .claude/skills/klingai-ci-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "klingai-ci-integration", 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-ci-integrationType 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-ci-integration -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace klingai-ci-integration --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-ci-integration .agents/skills/klingai-ci-integration && 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-ci-integration" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/klingai-ci-integration into .agents/skills/klingai-ci-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "klingai-ci-integration", 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-ci-integration -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace klingai-ci-integration --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-ci-integration .cursor/skills/klingai-ci-integration && 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-ci-integration" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/klingai-ci-integration into .cursor/skills/klingai-ci-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "klingai-ci-integration", 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-ci-integration--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-ci-integration -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace klingai-ci-integration --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-ci-integration .gemini/skills/klingai-ci-integration && 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-ci-integration" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/klingai-ci-integration into .gemini/skills/klingai-ci-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "klingai-ci-integration", 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-ci-integrationInstalls 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-ci-integration -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-ci-integration .github/skills/klingai-ci-integration && 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-ci-integration" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/klingai-ci-integration into .github/skills/klingai-ci-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "klingai-ci-integration", 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-ci-integration -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-ci-integration --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-ci-integration .opencode/skills/klingai-ci-integration && 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-ci-integration" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/klingai-ci-integration into .opencode/skills/klingai-ci-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "klingai-ci-integration", 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-ci-integrationIntegrate Kling AI video generation into CI/CD pipelines. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Klingai CI Integration is an agent skill from jeremylongshore/tons-of-skills-marketplace. Integrate Kling AI video generation into CI/CD pipelines. Use when automating video content in GitHub Actions or GitLab CI. Trigger with phrases like 'klingai ci', 'kling ai github actions', 'klingai automation', 'automated video generation'.
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `references/batch-generation-from-file.md`, `references/errors.md` and `references/examples.md`). Compatibility notes: Designed for Claude Code
It sits in DevOps & Cloud, covering CI/CD and AI video generation. It works with GitHub Actions and GitLab. 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.
5 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 yaml and python).
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.comAlso links to:
docs.github.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 CI Integration loads about 2.1k tokens when it runs, and up to ~4.6k if it reads all its reference files. Until then it costs about 66 tokens; SKILL.md has 466 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). 466 words, ~2,131 tokens.
.claude/skills/klingai-ci-integration/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.Automate video generation in CI/CD pipelines. Common use cases: generate product demos on release, create marketing videos from prompts in a YAML file, regression-test video quality across model versions.
# .github/workflows/generate-videos.yml
name: Generate Videos
on:
workflow_dispatch:
inputs:
prompt:
description: "Video prompt"
required: true
model:
description: "Model version"
default: "kling-v2-master"
jobs:
generate:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: "3.11"
- name: Install dependencies
run: pip install PyJWT requests
- name: Generate video
env:
KLING_ACCESS_KEY: ${{ secrets.KLING_ACCESS_KEY }}
KLING_SECRET_KEY: ${{ secrets.KLING_SECRET_KEY }}
run: |
python3 scripts/generate-video.py \
--prompt "${{ inputs.prompt }}" \
--model "${{ inputs.model }}" \
--output output/
- name: Upload artifact
uses: actions/upload-artifact@v4
with:
name: generated-video
path: output/*.mp4
retention-days: 7#!/usr/bin/env python3
"""scripts/generate-video.py -- CI-friendly video generation."""
import argparse
import jwt
import time
import os
import requests
import sys
BASE = "https://api.klingai.com/v1"
def get_headers():
ak, sk = os.environ["KLING_ACCESS_KEY"], os.environ["KLING_SECRET_KEY"]
token = jwt.encode(
{"iss": ak, "exp": int(time.time()) + 1800, "nbf": int(time.time()) - 5},
sk, algorithm="HS256", headers={"alg": "HS256", "typ": "JWT"}
)
return {"Authorization": f"Bearer {token}", "Content-Type": "application/json"}
def main():
parser = argparse.ArgumentParser()
parser.add_argument("--prompt", required=True)
parser.add_argument("--model", default="kling-v2-master")
parser.add_argument("--duration", default="5")
parser.add_argument("--mode", default="standard")
parser.add_argument("--output", default="output/")
parser.add_argument("--timeout", type=int, default=600)
args = parser.parse_args()
os.makedirs(args.output, exist_ok=True)
# Submit
r = requests.post(f"{BASE}/videos/text2video", headers=get_headers(), json={
"model_name": args.model,
"prompt": args.prompt,
"duration": args.duration,
"mode": args.mode,
})
r.raise_for_status()
task_id = r.json()["data"]["task_id"]
print(f"Task submitted: {task_id}")
# Poll
start = time.monotonic()
while time.monotonic() - start < args.timeout:
time.sleep(15)
result = requests.get(
f"{BASE}/videos/text2video/{task_id}", headers=get_headers()
).json()
status = result["data"]["task_status"]
elapsed = int(time.monotonic() - start)
print(f"[{elapsed}s] Status: {status}")
if status == "succeed":
video_url = result["data"]["task_result"]["videos"][0]["url"]
filepath = os.path.join(args.output, f"{task_id}.mp4")
with open(filepath, "wb") as f:
f.write(requests.get(video_url).content)
print(f"Saved: {filepath}")
return
if status == "failed":
print(f"FAILED: {result['data'].get('task_status_msg')}", file=sys.stderr)
sys.exit(1)
print("TIMEOUT: generation did not complete", file=sys.stderr)
sys.exit(1)
if __name__ == "__main__":
main()# video-prompts.yml
videos:
- name: product-hero
prompt: "Sleek laptop floating in space with particle effects"
model: kling-v2-6
mode: professional
- name: feature-demo
prompt: "Dashboard interface morphing between screens"
model: kling-v2-5-turbo
mode: standardimport yaml
with open("video-prompts.yml") as f:
config = yaml.safe_load(f)
for video in config["videos"]:
task_id = submit_async(video["prompt"], model=video["model"])
print(f"{video['name']}: {task_id}")# .gitlab-ci.yml
generate-video:
image: python:3.11-slim
stage: build
script:
- pip install PyJWT requests
- python3 scripts/generate-video.py --prompt "$VIDEO_PROMPT" --output output/
artifacts:
paths:
- output/*.mp4
expire_in: 7 days
variables:
KLING_ACCESS_KEY: $KLING_ACCESS_KEY
KLING_SECRET_KEY: $KLING_SECRET_KEY| Platform | Store AK/SK in |
|---|---|
| GitHub Actions | Repository Secrets |
| GitLab CI | CI/CD Variables (masked) |
| AWS CodeBuild | Parameter Store / Secrets Manager |
| GCP Cloud Build | Secret Manager |
Never put API keys in the workflow YAML or commit them to the repo.
The job should emit a machine-readable receipt with the run and manifest digests, model, environment, canary status, policy and rights checks, budget usage, approval status, artifact digest, retention deadline, and rollback reference. CI logs may contain task status and timings, but must exclude credentials, source URLs, prompts, face or contact data, and raw provider responses.
Treat authentication failures, policy rejections, unavailable source fixtures, quota or budget errors, and provider timeouts as non-publish failures. Retry only bounded, idempotent polling or transient transport errors; never retry a rejected prompt or blindly resubmit a billable generation. Mark the run for owner review when the provider returns an unknown status, quarantine all artifacts, and use the previous approved manifest for rollback.
A safe dispatch manifest can be represented as:
fixture: synthetic-product-v4
rights: cleared-for-internal-test
model: kling-v2-6
duration: 5
environment: staging
canary: watermarked-private
budget_credits: 10
publish: false
approval: requiredThe promotion job should require approval: recorded and an immutable artifact digest; a pull request or scheduled run must never turn an unreviewed live photograph into a public video.
© 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 6 other files (references) in skills/.curated/klingai-ci-integration of jeremylongshore/tons-of-skills-marketplace.
Open the folder on GitHubat commit cfae287
Klingai CI Integration 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 CI Integration this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~2.1k | Automated safety check: Pass | MIT | |
| Mirrord CImetalbear-co/mirrord | 5.4k | 1 repos | ~3.2k | Automated safety check: Warn | MIT | |
| Megalinter Checknvuillam/npm-groovy-lint | 248 | 1 repos | ~3.9k | Automated safety check: Notes | MIT | |
| CI CDEliasOulkadi/shokunin | 114 | — | ~3.4k | Automated safety check: Notes | MIT | |
| CI CDahmedasmar/devops-claude-skills | 203 | — | ~3.5k | Automated safety check: Pass | None | |
| Tirith PoliciesStackGuardian/tirith | 170 | — | ~1.8k | Automated safety check: Pass | Apache-2.0 |
metalbear-co/mirrord
Help users set up mirrord in CI pipelines for testing against real Kubernetes environments.
nvuillam/npm-groovy-lint
Collect MegaLinter lint errors for the current repository. An agent skill from nvuillam/npm-groovy-lint.
EliasOulkadi/shokunin
Design CI/CD pipelines for GitHub Actions, GitLab CI, and CircleCI with matrix builds, test sharding, caching, Docker layer caching, OIDC auth, deployment strategies (rolling, blue-green, canary)…
ahmedasmar/devops-claude-skills
CI/CD pipeline design, optimization, DevSecOps security scanning, and troubleshooting.
StackGuardian/tirith
Write, validate, run and debug Tirith IaC governance policies, install Tirith, and add it to a CI pipeline (GitHub Actions, GitLab CI, Bitbucket Pipelines, Jenkins, Azure DevOps, CircleCI or any…
liarjsdev/liarjs-skills
Gate a build on browser fingerprint regressions with liarjs - save a baseline scan as JSON, diff later runs against it, and fail the job when the consistency score falls below a floor.
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.
Works with
Categories
Integrate Kling AI video generation into CI/CD pipelines. An agent skill from jeremylongshore/tons-of-skills-marketplace. Klingai CI Integration is an agent skill from jeremylongshore/tons-of-skills-marketplace. Integrate Kling AI video generation into CI/CD pipelines.
Klingai CI Integration fits situations like: automating video content in GitHub Actions; with phrases like klingai ci; kling ai github actions; klingai automation.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill klingai-ci-integration -a claude-code`. Or copy the skill folder (skills/.curated/klingai-ci-integration in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/klingai-ci-integration in your project. Claude Code loads it when a task matches its description.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill klingai-ci-integration -a codex`. Or copy the skill folder (skills/.curated/klingai-ci-integration in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/klingai-ci-integration 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-ci-integration -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-ci-integration, .gemini/skills/klingai-ci-integration, .github/skills/klingai-ci-integration and .opencode/skills/klingai-ci-integration in your project.
Going by SKILL.md and its folder, Klingai CI Integration needs credentials named KLING_ACCESS_KEY and KLING_SECRET_KEY. Our summary lists: Python 3; 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 2 domains. In commands or code: api.klingai.com; the agent is likely to contact it when it follows the instructions. As links in the text: docs.github.com. 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 CI Integration is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.1k tokens (SKILL.md is roughly 8.5k 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 2.5k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Klingai CI Integration: Mirrord CI (metalbear-co/mirrord, 5.4k stars), Megalinter Check (nvuillam/npm-groovy-lint, 248 stars), CI CD (EliasOulkadi/shokunin, 114 stars) and CI CD (ahmedasmar/devops-claude-skills, 203 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.