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AI Agent Workflow Collection

Skill pack
9 skills0 selected
jetteimSkills in this pack

Use when creating, reviewing, or migrating telemetry pipelines that collect, transform, route, buffer, validate, and deliver logs, metrics, traces, events, or profiles across tool-agnostic observability systems.

English

Use when a product idea, business problem, platform initiative, strategy item, or vague roadmap request needs customer outcome framing, value stream boundaries, flow steps, measures, and first capability candidates.

English

Write, reply to, and resolve Google Drive comments on Docs, Sheets, Slides, and Drive files with evidence-backed location context.

English

Use when architecture boundaries, integrations, ownership, containers, components, deployment, dependencies, or stakeholder communication need C4-style views tied to value streams, capabilities, features, stories, or implementation plans.

English

Use when building platform or application observability, defining SLOs, preparing telemetry backend artifacts, enforcing OpenTelemetry semantic conventions, creating alert dashboards, or migrating SRE rules.

English

Use when an idea, initiative, architecture change, roadmap item, epic, or vague product request needs to become a coherent pipeline of value stream, capability, feature, story, architecture, spec, plan, implementation, and verification artifacts.

English

Use when value stream, capability, feature, story, C4, spec, or implementation-plan artifacts need a coherence check before execution, especially when context has grown large or architectural intent may be lost.

English

Use when a capability, epic, roadmap item, or architecture change needs feature-sized delivery packets with acceptance criteria, NFRs, enablers, dependencies, C4 impact, and story-slicing readiness.

English

Use when a feature or implementation-ready slice needs to become a human-sized story packet, acceptance tests, enabler work, spec handoff, implementation-plan input, and execution context without overwhelming the user.

English

Includes Creating Observability Pipelines, Discovering Value Streams, Google Drive Comments, and other workflows.

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

Supported by the Atlas install prompt. Skill-specific requirements vary.

Pack stats

Skills9CategorygeneralStars0

What’s included

Creating Observability Pipelines

Use when creating, reviewing, or migrating telemetry pipelines that collect, transform, route, buffer, validate, and deliver logs, metrics, traces, events, or profiles across tool-agnostic observability systems.

Discovering Value Streams

Use when a product idea, business problem, platform initiative, strategy item, or vague roadmap request needs customer outcome framing, value stream boundaries, flow steps, measures, and first capability candidates.

Google Drive Comments

Write, reply to, and resolve Google Drive comments on Docs, Sheets, Slides, and Drive files with evidence-backed location context. Use when the user asks to leave comment

Modeling C4 Architecture

Use when architecture boundaries, integrations, ownership, containers, components, deployment, dependencies, or stakeholder communication need C4-style views tied to value streams, capabilities, features, stories, or implementation plans.

Observability Engineering

Use when building platform or application observability, defining SLOs, preparing telemetry backend artifacts, enforcing OpenTelemetry semantic conventions, creating alert dashboards, or migrating SRE rules.

Orchestrating Architecture Execution

Use when an idea, initiative, architecture change, roadmap item, epic, or vague product request needs to become a coherent pipeline of value stream, capability, feature, story, architecture, spec, plan, implementation, and verification artifacts.

Reviewing Traceability

Use when value stream, capability, feature, story, C4, spec, or implementation-plan artifacts need a coherence check before execution, especially when context has grown large or architectural intent may be lost.

Shaping Features

Use when a capability, epic, roadmap item, or architecture change needs feature-sized delivery packets with acceptance criteria, NFRs, enablers, dependencies, C4 impact, and story-slicing readiness.

Slicing Stories

Use when a feature or implementation-ready slice needs to become a human-sized story packet, acceptance tests, enabler work, spec handoff, implementation-plan input, and execution context without overwhelming the user.

Quick start

  1. Choose your skills. Select individual skills above, or choose the entire pack.
  2. Copy the install prompt. Use Copy install prompt above the list.
  3. Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.

Try it with your agent

After installation, start with a request like:

Example request
Use the Creating Observability Pipelines skill to help with my task.
Ask me for the context you need before getting started.

Requirements & license

  • A coding agent that can access your project files and install skills.
  • Your agent checks each skill’s instructions, dependencies, and permissions during setup.
  • License details are not provided in these listings. Check the author’s terms before using the skills.
AI Agent Workflow Collection | Agent Skills Atlas