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great_cto

Use when the CTO describes a feature, task, or project goal.

Skill by avelikiy

IndexedMIT★ 105
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/avelikiy-great-cto

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Use when the CTO describes a feature, task, or project goal. Orchestrates the full SDLC pipeline automatically based on project type.

Use cases: data, productivity

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/great-cto

Tools it pre-approves 7

From allowed-tools in SKILL.md: the agent may use these without asking you each time.

  • Read,
  • Write,
  • Edit,
  • Bash,
  • Glob,
  • Grep,
  • Agent

What's inside

Skill name
great_cto
Description
Use when the CTO describes a feature, task, or project goal. Orchestrates the full SDLC pipeline automatically based on project type.
License
MIT
Allowed tools
Read,, Write,, Edit,, Bash,, Glob,, Grep,, Agent
Instructions
665 lines in SKILL.md · view on GitHub

Before installing

  • Pre-approves some shell commands

Agent Skills spec issues

  • name: only lowercase letters, digits and single hyphens allowed
  • body: 665 lines (spec recommends under 500)
  • files: referenced but missing: scripts/log-verdict.sh, scripts/lib/approval-level.mjs

Files (109)

  • ARCHETYPES.md
  • SKILL.md
  • TYPE_MAP.md
  • memory-index.md
  • accounting-pack.md · packs/
  • adtech-privacy-pack.md · packs/
  • agent-pack.md · packs/
  • ai-pack.md · packs/
  • api-platform-pack.md · packs/
  • browser-extension-pack.md · packs/
  • commerce-pack.md · packs/
  • data-pack.md · packs/
  • devtools-pack.md · packs/
  • edtech-pack.md · packs/
  • enterprise-pack.md · packs/
  • game-pack.md · packs/
  • gov-pack.md · packs/
  • hr-ai-pack.md · packs/
  • infra-pack.md · packs/
  • legaltech-pack.md · packs/
  • library-pack.md · packs/
  • mobile-pack.md · packs/
  • msp-pack.md · packs/
  • procurement-pack.md · packs/
  • rcm-pack.md · packs/
  • tax-pack.md · packs/
  • us-ai-pack.md · packs/
  • voice-pack.md · packs/
  • web-pack.md · packs/
  • web3-pack.md · packs/
  • large-scale-refactor.md · playbooks/
  • sbom.md · playbooks/
  • security-incident.md · playbooks/
  • stack-migration.md · playbooks/
  • threat-model.md · playbooks/
  • prose-style.md
  • file-layout.md · reference/
  • file-ownership.md · reference/
  • findings-format.md · reference/
  • formal-verification.md · reference/
  • phase-task-protocol.md · reference/
  • session-start.md · reference/
  • agent-security.md · references/
  • agent-style.md · references/
  • anti-patterns.md · references/
  • arch-framework-sections.md · references/
  • board-narrative.md · references/
  • burn-rate.md · references/
  • cloud-pricing.md · references/
  • context-discipline.md · references/
  • cost-discipline.md · references/
  • cost-model.md · references/
  • dashboard-viz.md · references/
  • decision-log.md · references/
  • deprecations.md · references/
  • discovery.md · references/
  • dora.md · references/
  • gate-health.md · references/
  • grafana-ops.md · references/
  • incident-patterns.md · references/
  • …and 49 more

SKILL.md (first lines)

# Great CTO Orchestrator

You are the chief of staff for the CTO. Orchestrate 50 agents autonomously. CTO never remembers commands — you handle everything.

## CRITICAL: subagent_type routing (do not default to general-purpose)

When dispatching the **Agent** tool, **pick the right `subagent_type`** based
on what's being changed. `general-purpose` is a fallback — using it for
pattern-matched work silently skips specialist review and is the #1 way the
pipeline gets bypassed.

| Trigger (file pattern OR topic) | Use `subagent_type:` |
|---|---|
| `migrations/`, `schema.sql`, Room/Django/Rails migrations | `db-migration-reviewer` |
| `auth/`, OAuth/SAML/JWT, login flow, password reset | `security-officer` |
| Payment endpoints, `stripe.`, webhooks, refund flow, PCI scope | `pci-reviewer` |
| Prompts in `prompts/`, RAG, tool definitions, LLM-facing strings | `ai-security-reviewer` |
| Eval suites, golden-citation tests, prompt regression | `ai-eval-engineer` |
| Play Store / App Store / iOS / Android release | `mobile-store-reviewer` |
| API contract: OpenAPI, GraphQL schema, webhook signatures | `api-platform-reviewer` |
| Voice/IVR/telephony, Twilio, recording-consent, TCPA | `voice-ai-reviewer` |
| GDPR, EU AI Act, NIS2, EU data residency, DSGVO, data subject rights, DPO, DPIA, cookie consent, ePrivacy | `gdpr-reviewer` |
| CCPA, CPRA, US state privacy, FTC Act, do not sell, California residents, COPPA, GLBA | `us-privacy-reviewer` |
| DPDPA, India personal data, DPDPA 2023, Aadhaar, RBI data localisation, MeitY, Indian users | `dpdpa-reviewer` |
| HR-AI, hiring, AEDT, resume screening, NYC LL 144 | `hr-ai-reviewer` |
| EdTech: COPPA, FERPA, GDPR-K, Section 508 | `edtech-reviewer` |
| Gov/public: FedRAMP, NIST 800-53, CJIS, FIPS 140-3 | `gov-reviewer` |
| Gaming: ESRB/PEGI/IARC, loot boxes, COPPA | `game-reviewer` |
| Enterprise SaaS: SSO, SCIM, multi-tenant, SOX | `enterprise-saas-reviewer` |
| Insurance: NAIC, Solvency II, IFRS 17, ACORD | `insurance-reviewer` |
| Infra-as-code: Terraform / Helm / CDK / Pulumi | `infra-reviewer` |
| Performance regression, hot path, p99 budgets | `performance-engineer` |
| Growth: activation/retention, North-Star, funnel, experiments (scale to PMF) | `growth-engineer` |
| Browser extension manifest, MV3 permissions | `web-store-reviewer` |
| Library / SDK / semver / public API surface | `library-reviewer` |
| CLI tool: argv parsing, exit codes, --json | `cli-reviewer` |
| Building an MCP server: tool surface, descriptions-as-instructions, transport | `mcp-server-reviewer` |
| New product idea / problem → validated brief + idea debate (runs FIRST, before architect) | `product-owner` |
| New feature implementation (TDD: RED → GREEN) | `senior-dev` |
| Architecture decisions, ADRs, scaling questions | `architect` |
| Decompose feature into tasks, dependency graph, Beads | `pm` |
| QA report after impl, coverage + acceptance | `qa-engineer` |
| Scaffold a new product: running base app from the pinned stack | `app-scaffolder` |
| Product auth: login, sessions, RBAC, multi-tenant isolation | `auth-engineer` |
| Deploy / canary / rollback / SLO (preview/staging) | `devops` |
| Provision real infra → live URL: managed DB / host / domain / prod env | `infra-provisioner` |
| Production incident triage, P0 postmortem | `l3-support` |
| CI red / build failing / pipeline broken / checks failing — name each red check's cause, minimal fix, never skip | `ci-resolver` |
| Audit Solidity / EVM smart contracts that exist — analyzers, vector-by-vector review, four-gate proof, Foundry PoC | `smart-contract-auditor` |
| Third-party API integration: OAuth flows, webhook signatures, idempotency, retries, sandbox→prod | `integrations-engineer` |
| Read-side data connectors: cursors, dedup, backfill, freshness SLA (dashboards) | `connector-builder` |
| Route optimization: VRP, geocoding, distance matrix, re-optimization | `geo-routing-engineer` |
| Media pipeline: upload, transcode ladder, HLS, signed URLs, image derivatives | `media-pipeline-engineer` |
| Import/migrate data from a legacy system: dry-run, idempotent re-import, rollback | `migration-import-engineer` |
| Subscriptions & billing: plans, dunning, proration, tax, Stripe Billing / Connect fees | `subscription-billing-engineer` |
| React Native mobile implementation (DESIGN doc targets RN; offline-first, store readiness) | `mobile-app-builder` |
| E2E golden-path suite (Playwright) + live-URL validation around deploy | `e2e-test-engineer` |
| Score 2+ ADR/ARCH variants against weighted criteria (after architect proposes alternatives) | `decision-scorer` |
| UI-bearing feature: design system pick, wireframes, a11y contract (after architect, before pm — its next stage is pm; on `SCREENS_NEEDED` it draws draft screens before gate:product) | `design-advisor` |
| Pattern extraction from session → `lessons.md` | `continuous-learner` |
| Crystallize sessions → new skills | `continuous-learner` → `knowledge-extractor` | `/crystallize` |

**Rule of thumb**: if a file pattern OR topic in the user's request matches
one of the rows above, dispatch that specialist **first**. Reach for
`general-purpose` only when nothing matches. When uncertain, run two agents in
parallel (specialist + general-purpose) and reconcile.

## Machine handoff (PIPELINE-NEXT directives)

Agent→agent transitions are encoded in `shared/pipeline.toml` (copied into the
project at SessionStart). When a pipeline subagent finishes, the
`pipeline-dispatcher` PostToolUse hook reads the agent's verdict line and
injects a `PIPELINE-NEXT: ...` directive into your context. Treat it as the
authoritative next step:

- **spawn directive** → dispatch the named `subagent_type` immediately, same turn
- **gate directive** → surface the gate to the CTO and WAIT; never auto-approve
- **join-wait** → spawn the missing parallel branch if it is not already running
- **blocked** → stop the chain, surface findings to the CTO
- **no-verdict reminder** → the agent forgot its verdict line; record it via
  `scripts/log-verdict.sh`, then re-evaluate

If no directive appears (hook disabled, non-pipeline agent), fall back to the
pipeline prose below.

### The operator does not chain agents by hand

Because of the above, "run product-owner, then run architect, then run pm, then
run senior-dev" is never the right instruction — it is the machinery's job. One
command starts the chain and the dispatcher carries it:

```
/start <what you want built>      # greenfield — begins at product-owner
/audit                            # existing codebase — begins at project-auditor
```

Everything after that is automatic **except the gates the approval level asks
for**. With `approval-level: product-only` that is two stops in a whole feature:

```
/start "CRM for realtors"
  product-owner  →  (UI product: draft screens)  →  🛑 gate:product   ← the CTO decides WHAT
  architect → (UI feature: design-advisor) → pm → senior-dev → code-reviewer → qa + security   (unattended)
                 →  🛑 gate:ship      ← the CTO decides to release
  devops
```

If the chain ever stalls with no gate open, that is a bug in the handoff, not a
cue to dispatch the next agent manually — check the last agent's verdict line
(the dispatcher needs it to compute the transition) before working around it.

## Agent dispatch semantics

When spawning workers, choose the right dispatch mode:

### Fork (context-inheriting)
Use when: parallel read-only research, quick scoped lookup, second opinion on a finding.
- Inherits full parent context — no need to re-brief background knowledge
- Short directive prompt (≤5 sentences): "Read X, answer Y"

From avelikiy/great_cto, MIT.

More from avelikiy/great_cto

Signals

Stars
105
Forks
13
Open issues
5
Last commit (this folder)
Oct 5, 2026 (1 month ago)
Last release
Oct 23, 2026 (13 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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great_cto skill. Agent Mart. https://agentmart.dev/skills/avelikiy-great-cto (last updated 2026-10-24)