New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Ideogram Deploy Integration

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Deploy an Ideogram server boundary with queues, storage, safety enforcement, observability, canaries, and rollback.

MITAuto-check passedDevOps & Cloud

Install Ideogram Deploy Integration

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill ideogram-deploy-integration -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace ideogram-deploy-integration --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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/ideogram-deploy-integration .claude/skills/ideogram-deploy-integration && rm -rf skills-src

Use ~/.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/

Facts

Skill name
ideogram-deploy-integration
GitHub stars
2.8k
Token cost
~1.1k tokens
SKILL.md length
506 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Deploy an Ideogram server boundary with queues, storage, safety enforcement, observability, canaries, and rollback.

  • Works in 7 steps: Map request ingress, tenant auth,… → Choose sync only when platform and… → Configure account-level concurrency… → …
  • Shipping a new runtime
  • SKILL.md covers Overview, Prerequisites, Current Contract and Authentication, plus 8 more sections
  • Reaches api.ideogram.ai; needs IDEOGRAM_API_KEY

What it does

Ideogram Deploy Integration is an agent skill from jeremylongshore/tons-of-skills-marketplace. Deploy an Ideogram server boundary with queues, storage, safety enforcement, observability, canaries, and rollback. Use when shipping a new runtime or changing production topology. Trigger with "deploy Ideogram", "ship an Ideogram worker", or "review Ideogram production architecture".

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/official-docs.md`). Compatibility notes: Designed for Claude Code; deployment and live generation require explicit approval

It sits in DevOps & Cloud, covering Deployment and Observability. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Shipping a new runtime
  • Changing production topology
  • With deploy Ideogram
  • Ship an Ideogram worker

Example prompts

  • “deploy Ideogram”
  • “ship an Ideogram worker”
  • “review Ideogram production architecture”
  • “/ideogram-deploy-integration”

Requirements

  • A credential in IDEOGRAM_API_KEY
  • Compatibility (from SKILL.md): Designed for Claude Code; deployment and live generation require explicit approval
  • Pre-approved tools (allowed-tools): Read, Glob, Grep, Write, Edit

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Map request ingress, tenant auth, validation, queue, Ideogram route, webhook, polling, download, safety, storage, and publishing boundaries.
  2. Choose sync only when platform and request deadlines safely cover generation plus download; otherwise persist async state.
  3. Configure account-level concurrency below verified capacity, bounded queues, retry deadlines, and graceful drain.
  4. Inject secrets by runtime reference, restrict egress to the approved host, and prevent request or response body logging.
  5. Validate safety and media type before writing an opaque tenant-scoped object; discard temporary URLs.
  6. Deploy a synthetic canary, compare status, latency, storage, safety, and cost signals, then increase traffic gradually.
  7. Roll back traffic and reconcile in-flight generations and objects before terminating the prior version.

What it can do on your machine

Read from SKILL.md and the folder at commit 80f86df. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Glob
    • Grep
    • Write
    • Edit

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • api.ideogram.ai

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • IDEOGRAM_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code; deployment and live generation require explicit approval

    From compatibility in the SKILL.md frontmatter.

Context cost

Ideogram Deploy Integration loads about 1.1k tokens when it runs, and up to ~1.8k if it reads all its reference files. Until then it costs about 78 tokens; SKILL.md has 506 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~78
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit 80f86df, republished under its MIT licence (© jeremylongshore). 506 words, ~1,146 tokens.

Download SKILL.mdSave it as .claude/skills/ideogram-deploy-integration/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
ideogram-deploy-integration
description
Deploy an Ideogram server boundary with queues, storage, safety enforcement, observability, canaries, and rollback. Use when shipping a new runtime or changing production topology. Trigger with "deploy Ideogram", "ship an Ideogram worker", or "review Ideogram production architecture".
allowed-tools
Read, Glob, Grep, Write, Edit
compatibility
Designed for Claude Code; deployment and live generation require explicit approval
argument-hint
<platform> <release-sha> <environment>
version
1.11.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, ideogram, deployment
model
inherit
effort
high

Ideogram Deployment Boundary

Overview

Deploy Ideogram behind an application-owned server, queue, safety policy, and durable object store. Match runtime deadlines to sync or async behavior, keep paid authority out of clients, and preserve a reversible traffic path.

Prerequisites

  • Frozen release SHA, platform owner, environment, traffic slice, SLO, and rollback target.
  • Secret manager, queue or concurrency control, object storage, monitoring, and incident response.
  • Positive credit, billing owner, approved synthetic canary, and retention policy.

Current Contract

Ideogram calls use https://api.ideogram.ai; default capacity is 10 in-flight requests. Async routes return generation_id and support webhook delivery with polling fallback. Image URLs expire, so deployment must download validated outputs into application storage before acknowledging durable completion.

Authentication

Inject IDEOGRAM_API_KEY into the server or worker identity and send it only as Api-Key. A public browser receives application-scoped authorization, never the vendor credential or direct vendor URL.

Instructions

  1. Map request ingress, tenant auth, validation, queue, Ideogram route, webhook, polling, download, safety, storage, and publishing boundaries.
  2. Choose sync only when platform and request deadlines safely cover generation plus download; otherwise persist async state.
  3. Configure account-level concurrency below verified capacity, bounded queues, retry deadlines, and graceful drain.
  4. Inject secrets by runtime reference, restrict egress to the approved host, and prevent request or response body logging.
  5. Validate safety and media type before writing an opaque tenant-scoped object; discard temporary URLs.
  6. Deploy a synthetic canary, compare status, latency, storage, safety, and cost signals, then increase traffic gradually.
  7. Roll back traffic and reconcile in-flight generations and objects before terminating the prior version.

Tool Discipline

Use Read, Glob, and Grep for manifests, infrastructure, adapters, and evidence. Use Write and Edit only for approved deployment changes. Invocation does not authorize a deploy, secret mutation, credit purchase, traffic shift, or destructive cleanup.

Show full SKILL.md (212 more words)Show less

Approval Boundaries

Require explicit approval for production secret access, new egress, live spend, policy changes, storage retention, traffic shifting, and rollback. Preserve the previous deployable artifact until in-flight work is reconciled.

Error Handling

  • Stop rollout on secret exposure, rising 429, lost async state, unsafe-publication paths, or storage failure.
  • Do not declare success while assets exist only at expiring vendor URLs.
  • Drain or cancel local queue work before rollback; reconcile accepted vendor work idempotently.

Output

Return release SHA, platform, topology, secret reference, concurrency and deadline settings, canary metrics, storage and safety results, traffic state, costs, and rollback receipt. Exclude credentials and content.

Examples

  • Deploy a queue-backed worker for async V4 and a verified webhook receiver with polling reconciliation.
  • Keep the old worker at zero new traffic until all known generation IDs reach terminal state.

Validation

Verify deployed digest, secret provenance, egress, queue bounds, signature checks, polling fallback, storage deletion, dashboards, and rollback. Confirm the canary object and temporary metadata are removed.

Resources

  • Current first-party evidence map — use the dated endpoint, webhook, billing, team, and training links as the contract index for this workflow.
  • Recheck the endpoint-specific page and current OpenAPI description before relying on an enum, limit, beta feature, or lifecycle claim.
  • Record live observations as environment-specific evidence, not as universal vendor guarantees.

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/.curated/ideogram-deploy-integration of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/official-docs.md

Open the folder on GitHubat commit 80f86df

Compare with similar skills

Ideogram Deploy 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.

Ideogram Deploy Integration compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ideogram Deploy Integration this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.1kAutomated safety check: PassMIT
Kubeshark Installerkubeshark/kubeshark12k—~3.6kAutomated safety check: NotesApache-2.0
KubeSphere ServiceMesh Managerkubesphere/kubesphere17k—~2.4kAutomated safety check: PassCustom licence
Google Agents CLI Observabilitypifferologo/cloud-agents-cli1291 repos~2.5kAutomated safety check: PassApache-2.0
Deploy Observabilityaliyun/alibabacloud-observability-mcp-server166—~2.6kAutomated safety check: NotesNone
Temps Best Practicesgotempsh/temps828—~2.9kAutomated safety check: PassApache-2.0

Similar skills

  • Kubeshark Installer

    kubeshark/kubeshark

    Installs and configures Kubeshark on a Kubernetes cluster, choosing between the quick CLI path and a Helm install with custom values.

    12k GitHub stars~3.6k tokensUpdated yesterday
    DevOps & CloudAuto-check: notes

  • KubeSphere ServiceMesh Manager

    kubesphere/kubesphere

    Installs, checks and troubleshoots the KubeSphere ServiceMesh extension (Istio, Kiali, Jaeger), including grayscale release, sidecar injection, topology and tracing issues.

    17k GitHub stars~2.4k tokensUpdated 2 mo ago
    DevOps & CloudAuto-check passed

  • Google Agents CLI Observability

    pifferologo/cloud-agents-cli

    This skill should be used when the user wants to "set up tracing", "monitor my ADK agent", "configure logging", "add observability", "debug production traffic", or needs guidance on monitoring…

    129 GitHub starsUsed in 1 repo~2.5k tokens
    DevOps & CloudAuto-check passed

  • Deploy Observability

    aliyun/alibabacloud-observability-mcp-server

    Deploy, start, and update the Alibaba Cloud Observability MCP Server (阿里云可观测 MCP Server).

    166 GitHub stars~2.6k tokensUpdated 1 mo ago
    DevOps & CloudAuto-check: notes

  • Temps Best Practices

    gotempsh/temps

    Best-practices reference for preparing and instrumenting applications on Temps.

    828 GitHub stars~2.9k tokensUpdated today
    DevOps & CloudAuto-check passed

  • Temps CLI

    gotempsh/temps

    Operate Temps through the pinned @temps-sdk/cli package with bunx or npx.

    828 GitHub stars~2k tokensUpdated today
    DevOps & CloudAuto-check passed

More from jeremylongshore/tons-of-skills-marketplace

All 3,342 skills in this repo

  • Performing Security Code Review

    jeremylongshore/tons-of-skills-marketplace

    Execute this skill enables AI assistant to conduct a security-focused code review using the security-agent plugin.

    2.8k GitHub starsUsed in 2 repos~1.3k tokens
    Auto-check: notes

  • Adapting Transfer Learning Models

    jeremylongshore/tons-of-skills-marketplace

    Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques.

    2.8k GitHub stars~1.1k tokensUpdated today
    Auto-check passed

  • Agent Context Loader

    jeremylongshore/tons-of-skills-marketplace

    Execute proactive auto-loading: automatically detects and loads agents.md files.

    2.8k GitHub stars~1.1k tokensUpdated today
    Auto-check passed

  • Aggregating Performance Metrics

    jeremylongshore/tons-of-skills-marketplace

    Aggregate and centralize performance metrics from applications, systems, databases, caches, and services.

    2.8k GitHub stars~1.2k tokensUpdated today
    Auto-check passed

  • Analyzing Capacity Planning

    jeremylongshore/tons-of-skills-marketplace

    Execute this skill enables AI assistant to analyze capacity requirements and plan for future growth.

    2.8k GitHub stars~947 tokensUpdated today
    Auto-check passed

  • Analyzing Database Indexes

    jeremylongshore/tons-of-skills-marketplace

    Process use when you need to work with database indexing. An agent skill from jeremylongshore/tons-of-skills-marketplace.

    2.8k GitHub stars~2k tokensUpdated today
    Auto-check passed

Categories

Questions about Ideogram Deploy Integration

What does Ideogram Deploy Integration do?

Deploy an Ideogram server boundary with queues, storage, safety enforcement, observability, canaries, and rollback. Ideogram Deploy Integration is an agent skill from jeremylongshore/tons-of-skills-marketplace. Deploy an Ideogram server boundary with queues, storage, safety enforcement, observability, canaries, and rollback.

When should I use Ideogram Deploy Integration?

Ideogram Deploy Integration fits situations like: shipping a new runtime; changing production topology; with deploy Ideogram; ship an Ideogram worker.

How do I install Ideogram Deploy Integration in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill ideogram-deploy-integration -a claude-code`. Or copy the skill folder (skills/.curated/ideogram-deploy-integration in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/ideogram-deploy-integration in your project. Claude Code loads it when a task matches its description.

How do I install Ideogram Deploy Integration in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill ideogram-deploy-integration -a codex`. Or copy the skill folder (skills/.curated/ideogram-deploy-integration in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/ideogram-deploy-integration in your project. Codex loads it when a task matches its description.

Can I use Ideogram Deploy Integration in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill ideogram-deploy-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/ideogram-deploy-integration, .gemini/skills/ideogram-deploy-integration, .github/skills/ideogram-deploy-integration and .opencode/skills/ideogram-deploy-integration in your project.

What does Ideogram Deploy Integration need to run?

Going by SKILL.md and its folder, Ideogram Deploy Integration needs credentials named IDEOGRAM_API_KEY. Our summary lists: A credential in IDEOGRAM_API_KEY. Its frontmatter pre-approves these tools: Read, Glob, Grep, Write, Edit. Compatibility (from SKILL.md): Designed for Claude Code; deployment and live generation require explicit approval.

Does Ideogram Deploy Integration access the network?

SKILL.md names 1 domain. In commands or code: api.ideogram.ai; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Ideogram Deploy Integration safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Ideogram Deploy Integration use?

Ideogram Deploy Integration is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ideogram Deploy Integration use?

About 1.1k tokens (SKILL.md is roughly 4.6k 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 622 tokens, read only when the agent opens those files.

What are the alternatives to Ideogram Deploy Integration?

Skills that share tags, products or a category with Ideogram Deploy Integration: Kubeshark Installer (kubeshark/kubeshark, 12k stars), KubeSphere ServiceMesh Manager (kubesphere/kubesphere, 17k stars), Google Agents CLI Observability (pifferologo/cloud-agents-cli, 129 stars) and Deploy Observability (aliyun/alibabacloud-observability-mcp-server, 166 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ideogram Deploy Integration?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,825 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 9, 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.