Agentic AI Atlasby a5c.ai
OverviewWikiGraphFor AgentsEdgesSearchWorkspace
/
GitHubDocsDiscord
iiRecord
Agentic AI Atlas · GSD (Get Stuff Done)
specialization:gsda5c.ai
Search record views/
Record · tabs

Available views

II.Record viewspp. 1 - 1
overviewarticlejsongraph
III.Related pagespp. 1 - 1
II.
Specialization reference

specialization:gsd

Reading · 4 min

GSD (Get Stuff Done) reference

This directory contains workflows adapted from the Get Shit Done(https://github.com/glittercowboy/get-shit-done) methodology for the Babysitter SDK orchestration framework.

Specializationwiki/library/gsd.mdOutgoing · 1Incoming · 2

GSD-Adapted Workflows for Babysitter SDK

This directory contains workflows adapted from the Get Shit Done methodology for the Babysitter SDK orchestration framework.

Overview

These processes implement the GSD philosophy of systematic planning, research, execution, and verification while using the Babysitter SDK's task orchestration capabilities.

Core Workflows

1. New Project Initialization (`new-project.js`)

  • Systematic vision capture through agent-guided questions
  • Parallel domain research (stack, features, architecture, pitfalls)
  • Requirements scoping (v1/v2 separation)
  • Roadmap creation with phased milestones

2. Phase Discussion (`discuss-phase.js`)

  • Captures implementation preferences before planning
  • Identifies decision points (layouts, API patterns, structure)
  • Creates context document for guided research

3. Phase Planning (`plan-phase.js`)

  • Agent-based research informed by discussion context
  • Creates atomic task plans with verification
  • Plan checker validates against requirements
  • Iterative refinement until plans pass quality gates

4. Phase Execution (`execute-phase.js`)

  • Parallel task execution with fresh agent contexts
  • Atomic git commits per task
  • Progress tracking and dependency management
  • Automated verification gates

5. Work Verification (`verify-work.js`)

  • User acceptance testing gates
  • Automated issue diagnosis
  • Fix plan generation
  • Re-verification loop

6. Milestone Audit (`audit-milestone.js`)

  • Comprehensive milestone review
  • Definition-of-done verification
  • Quality assessment
  • Readiness determination

Advanced Workflows

7. Codebase Mapping (`map-codebase.js`)

  • Brownfield project analysis
  • Architecture understanding
  • Pattern identification
  • Integration planning

8. Iterative Convergence (`iterative-convergence.js`)

  • Quality-gated development loop
  • TDD with agent scoring
  • Refinement cycles until target quality reached
  • Parallel quality checks

Utilities

9. State Management (`state-manager.js`)

  • Cross-session memory
  • Decision tracking
  • Blocker management
  • Progress persistence

10. Research Orchestrator (`research.js`)

  • Parallel domain investigation
  • Stack analysis
  • Best practice discovery
  • Pitfall identification

Usage

Each workflow is a self-contained process module that can be:

1. **Run directly:**

bash
babysitter run:create \
  --process-id gsd/new-project \
  --entry gsd/new-project.js#process \
  --inputs inputs.json

2. **Composed into larger workflows:**

javascript
import { process as discussPhase } from './discuss-phase.js';
import { process as planPhase } from './plan-phase.js';

export async function process(inputs, ctx) {
  const discussion = await ctx.task(discussPhase, inputs);
  const plan = await ctx.task(planPhase, { ...inputs, discussion });
  // ...
}

3. **Customized for specific needs:** Extend or modify any workflow to match your project requirements.

Key Principles

Context Engineering

  • Always load relevant project context (PROJECT.md, REQUIREMENTS.md, STATE.md)
  • Keep agent contexts fresh with targeted information
  • Use artifacts directory for persistent state

Quality Gates

  • Verification loops at planning stage
  • Automated checks during execution
  • User acceptance gates at phase completion

Atomic Execution

  • Each task produces discrete, verifiable output
  • Git commits per task for bisect-ability
  • Clear success/failure criteria

Iterative Refinement

  • Agent-based quality scoring
  • Feedback loops until target quality reached
  • Progress tracking across iterations

File Organization

Code
gsd/
├── README.md                    # This file
├── new-project.js              # Project initialization
├── discuss-phase.js            # Phase discussion
├── plan-phase.js               # Phase planning with verification
├── execute-phase.js            # Parallel execution with commits
├── verify-work.js              # UAT and automated diagnosis
├── audit-milestone.js          # Milestone completion check
├── map-codebase.js             # Brownfield analysis
├── iterative-convergence.js    # Quality convergence loop
├── state-manager.js            # State persistence utilities
├── research.js                 # Research orchestration
└── examples/                   # Example input files
    ├── new-project-example.json
    ├── phase-example.json
    └── milestone-example.json

Integration with Babysitter SDK

These workflows leverage:

  • **Agent tasks** for LLM-based reasoning and decision making
  • **Breakpoints** for human approval gates
  • **Parallel execution** via ctx.parallel.all()
  • **Task composition** for modular workflow building
  • **State persistence** via artifacts and journal
  • **Quality scoring** through agent-based assessment

Differences from Original GSD

1. **SDK Native**: Uses Babysitter SDK primitives instead of custom orchestration 2. **Language**: JavaScript/Node.js instead of prompt-based skills 3. **Execution Model**: Task-based orchestration instead of CLI commands 4. **State Management**: Journal and artifacts instead of markdown files 5. **Composability**: Modular processes can be imported and composed

Getting Started

1. Install the Babysitter SDK:

bash
npm i -g @a5c-ai/babysitter-sdk@latest

2. Initialize a new project:

bash
babysitter run:create \
  --process-id gsd/new-project \
  --entry gsd/new-project.js#process \
  --inputs '{"projectName": "My App"}'

3. Follow the workflow through discussion → planning → execution → verification

Contributing

When adding new workflows:

  • Follow the GSD methodology of research → plan → verify
  • Use agent tasks for reasoning, node/shell tasks for execution
  • Include breakpoints at key decision points
  • Document expected inputs and outputs
  • Provide example input files

Article source

GSD-Adapted Workflows for Babysitter SDK (Library)

This record inherits its article from a related Page node.

Related pages

GSD-Adapted Workflows for Babysitter SDK (Library)

Shortcuts

Open overview
Open JSON
Open graph