Atlas Memory avatar

Atlas Memory

Official

@atlas-memory-framework

0Followers
|
1Public Repos
|
18Published Skills

Offers structured planning, GitHub issue management, and gated execution frameworks for technical project lifecycle governance.

Skills Distribution
DomainBusiness, Fi...Project Governance (40%)Technical Planning (35%)Issue Lifecycle Ma.. (25%)

Agent Skills by Atlas Memory

Showing 18 vetted skills indexed across 1 GitHub repositories.

Atlas-Memory-FrameworkAtlas-Memory-Framework
1

local-automation-runtime-upgrade

Upgrade local automation runtimes while preserving secrets, state, and configuration.

Official
Intermediate
Atlas-Memory-FrameworkAtlas-Memory-Framework
1

handoff

Create durable handoff notes transferring coding context to fresh sessions.

Official
Intermediate
Atlas-Memory-FrameworkAtlas-Memory-Framework
1

plan

Create or update markdown plan artifacts through validated planning gates.

Official
Advanced
Atlas-Memory-FrameworkAtlas-Memory-Framework
1

critical-ideation

Stress-test problem definitions by generating weaknesses, assumptions-to-tests, ranked risks, and alternatives.

Official
Intermediate
Atlas-Memory-FrameworkAtlas-Memory-Framework
1

technical-planning

Draft the Technical Plan section for the /plan Technical stage.

Official
Intermediate
Atlas-Memory-FrameworkAtlas-Memory-Framework
1

planning-reviews

Run planning-phase reviews and log Accept/Reject/Defer dispositions into the plan artifact.

Official
Advanced
Atlas-Memory-FrameworkAtlas-Memory-Framework
1

project-queue-audit

Classify GitHub Project issues as Manual, Dependency-gated, Blocked, or Ready.

Official
Advanced
Atlas-Memory-FrameworkAtlas-Memory-Framework
1

automation-decomposition

Convert implementation plans into dependency-resolved Automation Issue Manifests.

Official
Advanced
Atlas-Memory-FrameworkAtlas-Memory-Framework
1

review

Review planning-phase plan artifacts against authority boundaries and execution risks.

Official
Advanced
Atlas-Memory-FrameworkAtlas-Memory-Framework
1

local-automation-runtime-operate

Queue eligible GitHub issues and run bounded automation cycles with gated review and validation.

Official
Advanced
Atlas-Memory-FrameworkAtlas-Memory-Framework
1

build

Execute approved plans via sub-agents with phase ordering and build-time gates.

Official
Advanced
Atlas-Memory-FrameworkAtlas-Memory-Framework
1

problem-definition

Define product or system problems with measurable success criteria and scope boundaries.

Official
Intermediate
Atlas-Memory-FrameworkAtlas-Memory-Framework
1

github-project

Create or verify GitHub Project v2 fields and saved views via GraphQL.

Official
Advanced
Atlas-Memory-FrameworkAtlas-Memory-Framework
1

plan-to-issues

Project a markdown plan into GitHub issues and Projects.

Official
Advanced
Atlas-Memory-FrameworkAtlas-Memory-Framework
1

plan-to-html

Convert markdown planning artifacts into standalone HTML review views.

Official
Intermediate
Atlas-Memory-FrameworkAtlas-Memory-Framework
1

human-qa-loop

Iterate with the user until explicit success criteria are met.

Official
Intermediate
Atlas-Memory-FrameworkAtlas-Memory-Framework
1

implementation-planning

Draft an execution-ready implementation plan with file deltas, workstreams, gates, and exit criteria.

Official
Advanced
Atlas-Memory-FrameworkAtlas-Memory-Framework
1

local-automation-runtime-setup

Set up and validate a local automation runtime host for GitHub issue-to-PR processing.

Official
Intermediate

Frequently Asked Questions About Atlas Memory

FAQPage Schema
What specific project management tasks does Atlas Memory enable?

Atlas Memory enables the creation of structured markdown planning artifacts, the conversion of these plans into GitHub Project issues, and the execution of gated reviews. It facilitates technical planning, risk assessment, and the classification of project issues into manual, dependency-gated, or ready-to-implement states.

Which personas benefit most from these planning capabilities?

Technical leads, project managers, and software engineers responsible for complex system architecture benefit from these capabilities. It is designed for teams requiring rigorous planning gates, explicit success criteria, and structured handoff processes to maintain context across evolving development sessions.

What are the prerequisites for setting up the local runtime?

The local runtime requires a configured environment capable of executing GraphQL queries against GitHub Projects. Users must ensure their local host is validated for issue-to-PR processing, maintaining secure access to secrets, state, and configuration files throughout the lifecycle of the development cycle.