LangBot Deployment Guide
langbot-app/LangBot
Deploys and configures a LangBot instance with Docker Compose or Kubernetes, covering config.yaml, the Box sandbox runtime, the plugin runtime and the global API key.
Agent skill
by jeremylongshore in jeremylongshore/tons-of-skills-marketplace
Deploy Customer.io integrations to production cloud platforms.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill customerio-deploy-pipeline -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace customerio-deploy-pipeline --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/customerio-deploy-pipeline .claude/skills/customerio-deploy-pipeline && 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 "customerio-deploy-pipeline" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/customerio-deploy-pipeline into .claude/skills/customerio-deploy-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customerio-deploy-pipeline", 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/customerio-deploy-pipelineType 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 customerio-deploy-pipeline -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace customerio-deploy-pipeline --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/customerio-deploy-pipeline .agents/skills/customerio-deploy-pipeline && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "customerio-deploy-pipeline" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/customerio-deploy-pipeline into .agents/skills/customerio-deploy-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customerio-deploy-pipeline", 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 customerio-deploy-pipeline -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace customerio-deploy-pipeline --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/customerio-deploy-pipeline .cursor/skills/customerio-deploy-pipeline && 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 "customerio-deploy-pipeline" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/customerio-deploy-pipeline into .cursor/skills/customerio-deploy-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customerio-deploy-pipeline", 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/customerio-deploy-pipeline--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 customerio-deploy-pipeline -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace customerio-deploy-pipeline --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/customerio-deploy-pipeline .gemini/skills/customerio-deploy-pipeline && 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 "customerio-deploy-pipeline" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/customerio-deploy-pipeline into .gemini/skills/customerio-deploy-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customerio-deploy-pipeline", 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 customerio-deploy-pipelineInstalls 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 customerio-deploy-pipeline -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/customerio-deploy-pipeline .github/skills/customerio-deploy-pipeline && 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 "customerio-deploy-pipeline" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/customerio-deploy-pipeline into .github/skills/customerio-deploy-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customerio-deploy-pipeline", 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 customerio-deploy-pipeline -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 customerio-deploy-pipeline --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/customerio-deploy-pipeline .opencode/skills/customerio-deploy-pipeline && 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 "customerio-deploy-pipeline" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/customerio-deploy-pipeline into .opencode/skills/customerio-deploy-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customerio-deploy-pipeline", 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.
customerio-deploy-pipelineDeploy Customer.io integrations to production cloud platforms.
Customerio Deploy Pipeline is an agent skill from jeremylongshore/tons-of-skills-marketplace. Deploy Customer.io integrations to production cloud platforms. Use when deploying to Cloud Run, Vercel, AWS Lambda, or Kubernetes with proper secrets management and health checks. Trigger: "deploy customer.io", "customer.io cloud run", "customer.io kubernetes", "customer.io lambda", "customer.io vercel".
Its SKILL.md is about 2.3k 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-guide.md`). Compatibility notes: Designed for Claude Code
It sits in DevOps & Cloud, covering Deployment, Container orchestration and Secrets management. It works with Cloud Run, Vercel, Kubernetes and AWS Lambda. 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 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:
ReadWriteEditBash(npm:*)Bash(gcloud:*)Bash(kubectl:*)GlobGrepFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
gcloudcurlFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
cloud.google.comvercel.comkubernetes.ioFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
CUSTOMERIO_TRACK_API_KEYCUSTOMERIO_APP_API_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.
Customerio Deploy Pipeline loads about 2.3k tokens when it runs, and up to ~4.3k if it reads all its reference files. Until then it costs about 83 tokens; SKILL.md has 253 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). 253 words, ~2,278 tokens.
.claude/skills/customerio-deploy-pipeline/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Validate an event/template configuration in development and staging with synthetic profiles, attach schema/template test results to the change, then release through an approved canary. If the canary shows wrong audience, consent, or rendering behavior, stop promotion and restore the last approved configuration.
Deploy Customer.io integrations to production: GCP Cloud Run with Secret Manager, Vercel serverless functions, AWS Lambda with SSM, Kubernetes with external secrets, plus health check endpoints and blue-green deployment scripts.
customerio-ci-integration)# .github/workflows/deploy-cloud-run.yml
name: Deploy to Cloud Run
on:
push:
branches: [main]
jobs:
deploy:
runs-on: ubuntu-latest
permissions:
contents: read
id-token: write # Required for Workload Identity Federation
steps:
- uses: actions/checkout@v4
- id: auth
uses: google-github-actions/auth@v2
with:
workload_identity_provider: ${{ secrets.WIF_PROVIDER }}
service_account: ${{ secrets.WIF_SA }}
- uses: google-github-actions/setup-gcloud@v2
- name: Build and push
run: |
gcloud builds submit --tag gcr.io/${{ secrets.GCP_PROJECT }}/cio-service
- name: Deploy
run: |
gcloud run deploy cio-service \
--image gcr.io/${{ secrets.GCP_PROJECT }}/cio-service \
--region us-central1 \
--set-secrets "CUSTOMERIO_SITE_ID=cio-site-id:latest,\
CUSTOMERIO_TRACK_API_KEY=cio-track-key:latest,\
CUSTOMERIO_APP_API_KEY=cio-app-key:latest" \
--set-env-vars "CUSTOMERIO_REGION=us,NODE_ENV=production" \
--min-instances 1 \
--max-instances 10 \
--memory 512Mi \
--cpu 1 \
--allow-unauthenticated// routes/health.ts
import { TrackClient, RegionUS } from "customerio-node";
import { Router } from "express";
const router = Router();
router.get("/health", async (_req, res) => {
const checks: Record<string, { status: string; latency_ms?: number }> = {};
// Check Track API
const cio = new TrackClient(
process.env.CUSTOMERIO_SITE_ID!,
process.env.CUSTOMERIO_TRACK_API_KEY!,
{ region: RegionUS }
);
const start = Date.now();
try {
await cio.identify("health-check", {
email: "health@internal.example.com",
_health_check: true,
});
checks.track_api = { status: "ok", latency_ms: Date.now() - start };
} catch (err: any) {
checks.track_api = { status: `error: ${err.statusCode}` };
}
const allOk = Object.values(checks).every((c) => c.status === "ok");
res.status(allOk ? 200 : 503).json({
status: allOk ? "healthy" : "degraded",
checks,
version: process.env.npm_package_version ?? "unknown",
uptime_seconds: Math.floor(process.uptime()),
timestamp: new Date().toISOString(),
});
});
export default router;// api/customerio/identify.ts (Vercel serverless function)
import type { VercelRequest, VercelResponse } from "@vercel/node";
import { TrackClient, RegionUS } from "customerio-node";
const cio = new TrackClient(
process.env.CUSTOMERIO_SITE_ID!,
process.env.CUSTOMERIO_TRACK_API_KEY!,
{ region: RegionUS }
);
export default async function handler(req: VercelRequest, res: VercelResponse) {
if (req.method !== "POST") {
return res.status(405).json({ error: "Method not allowed" });
}
const { userId, attributes } = req.body;
if (!userId || !attributes?.email) {
return res.status(400).json({ error: "userId and attributes.email required" });
}
try {
await cio.identify(userId, {
...attributes,
last_seen_at: Math.floor(Date.now() / 1000),
});
return res.status(200).json({ success: true });
} catch (err: any) {
return res.status(err.statusCode ?? 500).json({ error: err.message });
}
}# k8s/customerio-service.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: customerio-service
spec:
replicas: 2
selector:
matchLabels:
app: customerio-service
template:
metadata:
labels:
app: customerio-service
spec:
containers:
- name: app
image: gcr.io/my-project/cio-service:latest
ports:
- containerPort: 3000
env:
- name: CUSTOMERIO_SITE_ID
valueFrom:
secretKeyRef:
name: customerio-secrets
key: site-id
- name: CUSTOMERIO_TRACK_API_KEY
valueFrom:
secretKeyRef:
name: customerio-secrets
key: track-api-key
- name: CUSTOMERIO_APP_API_KEY
valueFrom:
secretKeyRef:
name: customerio-secrets
key: app-api-key
- name: CUSTOMERIO_REGION
value: "us"
- name: NODE_ENV
value: "production"
resources:
requests:
cpu: 100m
memory: 256Mi
limits:
cpu: 500m
memory: 512Mi
readinessProbe:
httpGet:
path: /health
port: 3000
initialDelaySeconds: 5
periodSeconds: 10
livenessProbe:
httpGet:
path: /health
port: 3000
initialDelaySeconds: 15
periodSeconds: 30
---
apiVersion: v1
kind: Service
metadata:
name: customerio-service
spec:
selector:
app: customerio-service
ports:
- port: 80
targetPort: 3000#!/usr/bin/env bash
set -euo pipefail
# scripts/blue-green-deploy.sh
SERVICE="cio-service"
REGION="us-central1"
IMAGE="gcr.io/${GCP_PROJECT}/${SERVICE}:${COMMIT_SHA}"
echo "=== Blue-Green Deploy: ${SERVICE} ==="
# 1. Deploy with no traffic
gcloud run deploy "${SERVICE}" \
--image "${IMAGE}" \
--region "${REGION}" \
--no-traffic \
--tag "canary"
echo "Deployed canary. Running health check..."
# 2. Health check on canary
CANARY_URL=$(gcloud run services describe "${SERVICE}" \
--region "${REGION}" --format 'value(status.url)' \
| sed 's|https://|https://canary---|')
HEALTH=$(curl -s -o /dev/null -w "%{http_code}" "${CANARY_URL}/health")
if [ "${HEALTH}" != "200" ]; then
echo "FAIL: Health check returned ${HEALTH}. Aborting."
exit 1
fi
# 3. Shift traffic: 10% → 50% → 100%
for pct in 10 50 100; do
echo "Shifting ${pct}% traffic to canary..."
gcloud run services update-traffic "${SERVICE}" \
--region "${REGION}" \
--to-tags "canary=${pct}"
sleep 30
done
echo "Deploy complete. 100% traffic on new revision."| Issue | Solution |
|---|---|
| Secret not found | Verify secret name in secrets manager |
| Health check timeout | Increase initialDelaySeconds, check CIO connectivity |
| Cold start latency | Set --min-instances 1 (Cloud Run) or keep-alive |
| Memory OOM | Increase memory limits, check for event queue buildup |
After deployment, proceed to customerio-webhooks-events for webhook handling.
© 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/customerio-deploy-pipeline of jeremylongshore/tons-of-skills-marketplace.
Open the folder on GitHubat commit cfae287
Customerio Deploy Pipeline 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 |
|---|---|---|---|---|---|---|
| Customerio Deploy Pipeline this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~2.3k | Automated safety check: Pass | MIT | |
| LangBot Deployment Guidelangbot-app/LangBot | 18k | — | ~1.5k | Automated safety check: Notes | Apache-2.0 | |
| Deploymentmatrixorigin/memoria | 610 | — | ~1.6k | Automated safety check: Notes | Apache-2.0 | |
| CI/CD Pipeline Principlesirahardianto/awesome-agv | 156 | — | ~2.7k | Automated safety check: Notes | MIT | |
| Deploying Applicationsancoleman/ai-design-components | 525 | — | ~3.1k | Automated safety check: Pass | MIT | |
| Google Cloud Solution Guided Gke AI Migrationgoogle/skills | 21k | — | ~8.3k | Automated safety check: Pass | Apache-2.0 |
langbot-app/LangBot
Deploys and configures a LangBot instance with Docker Compose or Kubernetes, covering config.yaml, the Box sandbox runtime, the plugin runtime and the global API key.
matrixorigin/memoria
Deploy Memoria with Docker Compose or Kubernetes. An agent skill from matrixorigin/memoria.
irahardianto/awesome-agv
Rules for designing CI/CD pipelines in layers: universal lint, test and scan stages, container builds with SBOM attestation, and GitOps for orchestrated deployments.
ancoleman/ai-design-components
Deployment patterns from Kubernetes to serverless and edge functions.
google/skills
Guides the migration of existing AI workloads (Cloud Run, Gemini API, Gemini Enterprise Agent Platform) to self-hosted GKE inference using gcloud and kubectl.
microsoft/GitHub-Copilot-for-Azure
Assess and migrate cross-cloud workloads to Azure with reports and code conversion.
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
Deploy Customer.io integrations to production cloud platforms. Customerio Deploy Pipeline is an agent skill from jeremylongshore/tons-of-skills-marketplace.io integrations to production cloud platforms.
Customerio Deploy Pipeline fits situations like: deploying to Cloud Run; Kubernetes with proper secrets management and health checks.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill customerio-deploy-pipeline -a claude-code`. Or copy the skill folder (skills/.curated/customerio-deploy-pipeline in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/customerio-deploy-pipeline in your project. Claude Code loads it when a task matches its description.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill customerio-deploy-pipeline -a codex`. Or copy the skill folder (skills/.curated/customerio-deploy-pipeline in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/customerio-deploy-pipeline 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 customerio-deploy-pipeline -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/customerio-deploy-pipeline, .gemini/skills/customerio-deploy-pipeline, .github/skills/customerio-deploy-pipeline and .opencode/skills/customerio-deploy-pipeline in your project.
Going by SKILL.md and its folder, Customerio Deploy Pipeline needs the command-line tools its instructions call (gcloud and curl) and credentials named CUSTOMERIO_TRACK_API_KEY and CUSTOMERIO_APP_API_KEY. Our summary lists: A credential in CUSTOMERIO_TRACK_API_KEY; A credential in CUSTOMERIO_APP_API_KEY. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(npm:*), Bash(gcloud:*), Bash(kubectl:*), Glob, Grep. Compatibility (from SKILL.md): Designed for Claude Code.
SKILL.md names 3 domains. As links in the text: cloud.google.com, vercel.com and kubernetes.io. 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.
Customerio Deploy Pipeline is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.3k tokens (SKILL.md is roughly 9.1k 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 2k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Customerio Deploy Pipeline: LangBot Deployment Guide (langbot-app/LangBot, 18k stars), Deployment (matrixorigin/memoria, 610 stars), CI/CD Pipeline Principles (irahardianto/awesome-agv, 156 stars) and Deploying Applications (ancoleman/ai-design-components, 525 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.