cto-platform
CTO Platform lifecycle expertise - Play workflow orchestration, intake processing, MCP tools, and agent sequencing.
Skill by 5DLabsInc
Install
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About
Use cases: productivity, agent-building
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/cto-platform
What's inside
- Skill name
cto-platform- Description
- CTO Platform lifecycle expertise - Play workflow orchestration, intake processing, MCP tools, and agent sequencing. Use when managing the full development lifecycle from PRD to deployed code.
- License
- AGPL-3.0
- Instructions
- 179 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# CTO Platform Skill
Comprehensive knowledge of the CTO (Cognitive Task Orchestrator) platform for AI-driven development workflows.
## When to Use
- Running intake to generate tasks from PRDs
- Starting and monitoring Play workflows
- Understanding agent sequencing and responsibilities
- Debugging workflow issues
---
## Intake Workflow
### MCP Tool
```
mcp_cto_intake(project_name="my-project")
```
### Flow
```
PRD Document → mcp_cto_intake() → Linear Project Created
→ PRD Issue with Morgan as delegate
→ PM Webhook → Argo Workflow
→ Morgan Pod generates tasks.json
→ Task issues created in Linear
```
### Key Points
- `local: false` in cto-config.json = Argo workflow (production)
- `local: true` = local binary execution (debugging only)
- Morgan auto-assigned triggers intake via PM webhook
---
## Play Workflow
### MCP Tools
```
mcp_cto_play() # Start workflow, auto-detects next task
mcp_cto_play_status() # Query progress
mcp_cto_jobs() # List running workflows
mcp_cto_stop_job() # Cancel workflow
```
### Agent Sequence (Per Task)
```
┌─────────────────────────────────────────────────────────────────────────────┐
│ PLAY WORKFLOW (Per Task) │
│ │
│ 1. IMPLEMENTATION AGENT (based on task.agentHint) │
│ ├─ bolt (infrastructure - Task 1 ALWAYS, plus any infra tasks) │
│ ├─ rex (Rust: axum, tokio, sqlx) │
│ ├─ grizz (Go: chi, grpc, pgx) │
│ ├─ nova (Node.js/Bun: Elysia, Effect, Drizzle) │
│ ├─ blaze (React/Web: Next.js, shadcn/ui, TailwindCSS) │
│ ├─ tap (Mobile: Expo, React Native) │
│ └─ spark (Desktop: Electron) │
│ │
│ 2. SUPPORT AGENTS (sequential, run for EVERY task) │
│ ├─ Cleo (quality) ──── max 5 retries │
│ ├─ Cipher (security) ─ max 2 retries │
│ ├─ Tess (testing) ──── max 5 retries │
│ └─ Atlas (integration) final merge gate │
└─────────────────────────────────────────────────────────────────────────────┘
```
---
## cto-config.json Structure
```json
{
"version": "1.0",
"orgName": "5DLabs",
"defaults": {
"intake": {
"local": false, // MUST be false for production
"githubApp": "5DLabs-Morgan"
},
"linear": {
"teamId": "CTOPA",
"pmServerUrl": "http://localhost:8081"
},
"play": {
"repository": "5dlabs/cto",
"healerEndpoint": "http://localhost:8083",
"autoMerge": true, // Atlas auto-merges PRs
"implementationMaxRetries": 10,
"qualityMaxRetries": 5,
"securityMaxRetries": 2,
"testingMaxRetries": 5
}
},
"agents": {
"morgan": { ... },
"bolt": { ... },
"rex": { ... },
// ...
}
}
```
### Key Fields
| Field | Purpose |
|-------|---------|
| `intake.local` | `false` = Argo workflow, `true` = local binary |
| `play.autoMerge` | Atlas merges PRs automatically |
| `play.healerEndpoint` | Healer API for session notifications |
| `play.*MaxRetries` | Per-agent retry limits |
---From 5DLabsInc/cto, AGPL-3.0.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Apr 26, 2026 (6 months ago)
- Last release
- May 31, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- AGPL-3.0
- Repository
- github.com/5DLabsInc/cto
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
cto-platform skill. Agent Mart. https://agentmart.dev/skills/5dlabsinc-cto-platform (last updated 2026-10-24)