Let’s specialize this into something that actually matches you:
I’m going to turn this system into a GitHub‑native “Audio System OS”—built on the exact patterns we already wired:
• Sessions (your 9‑step flows, tracks, experiences)
• Listeners (users)
• Runs (a listener going through a specific session)
All still: Issues → JSON → UI → AI → Dashboards → Docs.
—
1. New record type: `Session` (your core audio unit)
Think: one “experience” in your 9‑step system.
1.1 Issue template in `issues-db`
.github/ISSUE_TEMPLATE/session.yml:
name: Session
description: Define an audio session in the system
title: “session: ”
labels: [“record:session”, “status:active”]
body:
– type: input
id: code
attributes:
label: Session Code
placeholder: “S01-DFP-INTRO”
validations:
required: true
– type: input
id: step
attributes:
label: Step Number
placeholder: “1-9”
– type: textarea
id: description
attributes:
label: Description
placeholder: “What this session does, energetically and practically.” – type: textarea
id: track_url
attributes:
label: Audio URL
placeholder: “Link to the audio file (or placeholder).”
– type: textarea
id: notes
attributes:
label: Notes
placeholder: “Internal notes, tags, frequency themes, etc.”
—
2. Dispatch: `record:session` → `backend-automation`
Extend issues-db/.github/workflows/on-issue.yml:
dispatch-session:
if: contains(github.event.issue.labels.*.name, ‘record:session’) runs-on: ubuntu-latest
steps:
– name: Send session to backend-automation
uses: peter-evans/repository-dispatch@v3
with:
token: ${{ secrets.GH_PAT }}
repository: max-github-system/backend-automation
event-type: session-record
client-payload: |
{
“number”: ${{ github.event.issue.number }},
“action”: “${{ github.event.action }}”,
“title”: “${{ github.event.issue.title }}”,
“state”: “${{ github.event.issue.state }}”,
“labels”: ${{ toJson(github.event.issue.labels) }},
“body”: ${{ toJson(github.event.issue.body) }}
}
—
3. Backend processor: `Session`
backend-automation/.github/workflows/on-dispatch-session-record.yml:
name: Handle Session Records
on:
repository_dispatch:
types: [session-record]
jobs:
process-session:
runs-on: ubuntu-latest
steps:
– uses: actions/checkout@v4
– uses: actions/setup-node@v4
with:
node-version: 20
– name: Install deps
run: npm ci || true
– name: Process session
env:
PAYLOAD: ${{ toJson(github.event.client_payload) }}
GH_TOKEN: ${{ secrets.GH_PAT }}
run: node scripts/processSessionRecord.mjs
backend-automation/scripts/processSessionRecord.mjs (simple parse):
import { Octokit } from ‘@octokit/rest’;
const payload = JSON.parse(process.env.PAYLOAD);
const octokit = new Octokit({ auth: process.env.GH_TOKEN });
function getLabelValue(labels, prefix) {
const label = labels.find(l => l.name.startsWith(prefix));
return label ? label.name.replace(prefix, ”) : null;
}
function mapStatus(labels, state) {
return getLabelValue(labels, ‘status:’) || (state === ‘closed’ ? ‘inactive’ : ‘active’); }
async function main() {
const labels = payload.labels || [];
const status = mapStatus(labels, payload.state);
const session = {
id: payload.number,
title: payload.title,
status,
labels: labels.map(l => l.name),
rawBody: payload.body,
updatedAt: new Date().toISOString()
};
const content = Buffer.from(JSON.stringify(session, null, 2)).toString(‘base64’);
await octokit.repos.createOrUpdateFileContents({
owner: ‘max-github-system’,
repo: ‘data-hub’,
path: `data/sessions/${payload.number}.json`,
message: `chore: sync session #${payload.number}`,
content
});
}
main().catch(err => {
console.error(err);
process.exit(1);
});
In data-hub, add data/sessions/.
—
4. New record type: `Run` (listener going through a session)
This is where it becomes a real “system”, not just catalog.
4.1 Issue template in `issues-db`
.github/ISSUE_TEMPLATE/run.yml:
name: Run
description: A listener going through a specific session
title: “run: for ”
labels: [“record:run”, “status:in-progress”]
body:
– type: input
id: session_code
attributes:
label: Session Code
placeholder: “S01-DFP-INTRO”
validations:
required: true
– type: input
id: listener
attributes:
label: Listener
placeholder: “email, handle, or user id”
validations:
required: true
– type: textarea
id: intention
attributes:
label: Intention
placeholder: “What is this run for?”
– type: textarea
id: notes
attributes:
label: Notes
placeholder: “Observations, shifts, anything relevant.”
4.2 Dispatch `record:run`
Add to on-issue.yml:
dispatch-run:
if: contains(github.event.issue.labels.*.name, ‘record:run’) runs-on: ubuntu-latest
steps:
– name: Send run to backend-automation
uses: peter-evans/repository-dispatch@v3
with:
token: ${{ secrets.GH_PAT }}
repository: max-github-system/backend-automation
event-type: run-record
client-payload: |
{
“number”: ${{ github.event.issue.number }},
“action”: “${{ github.event.action }}”,
“title”: “${{ github.event.issue.title }}”,
“state”: “${{ github.event.issue.state }}”,
“labels”: ${{ toJson(github.event.issue.labels) }},
“body”: ${{ toJson(github.event.issue.body) }}
}
4.3 Processor: `Run`
backend-automation/.github/workflows/on-dispatch-run-record.yml:
name: Handle Run Records
on:
repository_dispatch:
types: [run-record]
jobs:
process-run:
runs-on: ubuntu-latest
steps:
– uses: actions/checkout@v4
– uses: actions/setup-node@v4
with:
node-version: 20
– name: Install deps
run: npm ci || true
– name: Process run
env:
PAYLOAD: ${{ toJson(github.event.client_payload) }}
GH_TOKEN: ${{ secrets.GH_PAT }}
run: node scripts/processRunRecord.mjs
backend-automation/scripts/processRunRecord.mjs:
import { Octokit } from ‘@octokit/rest’;
const payload = JSON.parse(process.env.PAYLOAD);
const octokit = new Octokit({ auth: process.env.GH_TOKEN });
function getLabelValue(labels, prefix) {
const label = labels.find(l => l.name.startsWith(prefix));
return label ? label.name.replace(prefix, ”) : null;
}
function mapStatus(labels, state) {
return getLabelValue(labels, ‘status:’) || (state === ‘closed’ ? ‘completed’ : ‘in-progress’); }
async function main() {
const labels = payload.labels || [];
const status = mapStatus(labels, payload.state);
const run = {
id: payload.number,
title: payload.title,
status,
labels: labels.map(l => l.name),
rawBody: payload.body,
updatedAt: new Date().toISOString()
};
const content = Buffer.from(JSON.stringify(run, null, 2)).toString(‘base64’);
await octokit.repos.createOrUpdateFileContents({
owner: ‘max-github-system’,
repo: ‘data-hub’,
path: `data/runs/${payload.number}.json`,
message: `chore: sync run #${payload.number}`,
content
});
}
main().catch(err => {
console.error(err);
process.exit(1);
});
In data-hub, add data/runs/.
—
5. Frontend views: Sessions + Runs
Extend fetchData.mjs again:
const tasks = await fetchCollection(‘tasks’);
const users = await fetchCollection(‘users’);
const jobs = await fetchCollection(‘jobs’);
const sessions = await fetchCollection(‘sessions’);
const runs = await fetchCollection(‘runs’);
// write sessions.json and runs.json
fs.writeFileSync(path.join(outDir, ‘sessions.json’), JSON.stringify(sessions, null, 2)); fs.writeFileSync(path.join(outDir, ‘runs.json’), JSON.stringify(runs, null, 2));
5.1 `src/Sessions.tsx`
import sessions from ‘./generated/sessions.json’;
type Session = {
id: number;
title: string;
status: string;
labels: string[];
rawBody: string;
updatedAt: string;
};
export function Sessions() {
const typed = sessions as Session[];
return (
Sessions
- {typed.map(s => (
- #{s.id} {s.title}
{s.status}
{s.rawBody}Updated: {new Date(s.updatedAt).toLocaleString()}
))}
);
}
5.2 `src/Runs.tsx`
import runs from ‘./generated/runs.json’;
type Run = {
id: number;
title: string;
status: string;
labels: string[];
rawBody: string;
updatedAt: string;
};
export function Runs() {
const typed = runs as Run[];
return (
Runs
- {typed.map(r => (
- #{r.id} {r.title}
{r.status}
{r.rawBody}Updated: {new Date(r.updatedAt).toLocaleString()}
))}
);
}
Update App tabs to include:
• Dashboard
• Tasks
• Jobs
• Users
• Sessions
• Runs
You’ve now turned this into a GitHub‑native audio/work platform:
• Define sessions as Issues
• Track listeners’ runs as Issues
• Mirror everything to JSON
• Render it in a UI
• Aggregate it into dashboards
• Optionally enrich with AI
From here, you can:
• Add AI summaries for Sessions (“what this session does”) and Runs (“what happened in this run”) via ai-workflows, exactly like we did for Tasks.