Progressive Delivery

Community

nitinjain999

progressive-delivery

Canary releases with automatic promotion and rollback using Flagger on Flux. Shifts traffic through Gateway API HTTPRoute weights (Envoy Gateway for north-south, Linkerd for east-west), gates each step on success-rate and latency metrics for the canary pods, runs smoke tests before traffic moves, and rolls back on its own when checks fail. Covers install with signed OCI charts, Canary and MetricTemplate design, GitOps ownership, and emergency rollback. Use when asked to "add canary deployments", "roll out gradually", "automatic rollback on errors", "set up Flagger", or "why did my canary roll back". Gateway and routes themselves → /platform-skills:gateway-api. Linkerd mesh issues → /platform-skills:linkerd.

Overview

Publisher	nitinjain999
Repository	`platform-skills`
Skill name	`progressive-delivery`
Stars	71
Forks	14
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by nitinjain999 on GitHub. Read the source before you install it.

Installation

Install the Progressive Delivery AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/nitinjain999/platform-skills/tree/main/plugins/platform-skills/skills/progressive-delivery
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/nitinjain999/platform-skills/tree/main/plugins/platform-skills/skills/progressive-delivery

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/nitinjain999/platform-skills.git /tmp/platform-skills
mkdir -p .claude/skills
cp -r /tmp/platform-skills/plugins/platform-skills/skills/progressive-delivery .claude/skills/progressive-delivery

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Progressive Delivery in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Progressive Delivery on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Progressive Delivery is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Ship a new version to a slice of real traffic first, promote it only on evidence, and roll it back without a human when the evidence says no.

Read references/progressive-delivery.md before responding. It holds how a Flagger analysis runs, the provider settings for Envoy Gateway and Linkerd, metric rules, GitOps ownership, rollback by situation, and troubleshooting. The working manifests are in examples/progressive-delivery.

This skill is interactive by default. With no arguments, ask how traffic reaches the app (shared Envoy Gateway, Linkerd east-west, both), where metrics come from (Linkerd viz, gateway Prometheus, other), and whether the app has an HPA, then run canary. Never apply resources or change a live Canary yourself.

Mode dispatch

Mode	What it does
`install`	Flagger via Flux from the signed OCI chart, with `meshProvider` and `metricsServer` for the user's traffic and metrics
`canary`	Canary and MetricTemplates for one app, from `examples/progressive-delivery`, adapted to its ports, hostname, listener and HPA
`metrics`	Design or fix the MetricTemplate queries so they measure the canary pods only, and prove they return data
`debug`	Why a canary is stuck, never starts, or always rolls back, from Flagger events and route status
`rollback`	The right rollback for the situation: automatic, revert in Git, `skipAnalysis`, or `suspend`

Mode: canary

Start from examples/progressive-delivery/app/canary.yaml. Set targetRef, service.port and targetPort, hosts, and gatewayRefs (the Gateway and sectionName for north-south; the Service for Linkerd east-west).
Add autoscalerRef when the app has an HPA.
Pick interval, stepWeight, maxWeight and threshold from the app's traffic: a check needs enough requests per interval to be meaningful; a low-traffic app needs a load-test webhook or a longer interval.
If the Canary has webhooks, include examples/progressive-delivery/app/loadtester.yaml in the app namespace; the webhook URL must name that Service.
Remove the app's hand-written HTTPRoute in the same change; say so explicitly.
Validate with kubeconform -strict against the CRD catalog, as the example README shows.

Mode: rollback

Use the reference's rollback table. State which objects Flagger owns (primary, generated Services and HTTPRoute) and that the fix for a failed release is always a change in Git, because Flux will keep applying whatever Git says.

Output format

Every mode ends with:

Changes, as exact files and fields
Blast radius, in one line (which traffic and for how long)
Validation, as commands (kubectl describe canary, the metric query, route status)
Rollback, for the situation in question

Frequently asked questions

What does the Progressive Delivery AI skill do?

Why use Progressive Delivery on TypingMind?

Because you install it once and use it with any model. Progressive Delivery is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Progressive Delivery in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nitinjain999/platform-skills/tree/main/plugins/platform-skills/skills/progressive-delivery. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Progressive Delivery?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Progressive Delivery?

As many as you like. As long as a model supports skills, you can use Progressive Delivery with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Progressive Delivery AI skill free?

Yes. It is published on GitHub by nitinjain999 under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Release Openclaw Mac

openclaw

OrganizationPopular

Run or recover OpenClaw macOS release signing, notarization, appcast, and asset promotion.

Release Openclaw Maintainer

openclaw

OrganizationPopular

Prepare, publish, recover, or verify OpenClaw beta, stable, and extended-stable releases, including approved backports.

Release Openclaw Plugin Testing

openclaw

OrganizationPopular

Plan and run pre-release OpenClaw plugin validation across bundled plugins, package artifacts, lifecycle commands, doctor/fix, config round-trip, gateway startup, SDK compatibility, Docker E2E,…

Solid

Write, port, review, or test Solid 2 UI in OpenClaw (Control UI, plugin views, Canvas hosts), including state ownership, Lit interop during the migration, native overlays, testing, performance, and…

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Mode dispatch

Mode: canary

Mode: rollback

Output format

Frequently asked questions

Related AI Skills

Set up your own AI workspace now