oborchers/fractional-cto

Your AI CTO co-pilot — opinionated, research-backed Claude Code plugins for building SaaS products that ship

This repository also configures its own agents. See what fractional-cto tells them →

32Stars on the repository
158Mods indexed here, across every type
5d agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

agent-baton

01

oborchers/fractional-cto

Plugin Claude Code

Bundles 1 skill, 2 commands, 1 hook · 238 tokens together

Chain work across two independent agent processes that share no parent session. One agent passes a baton (a completion signal file) when done, optionally carrying a free-form payload; another waits for it, with a deadline, then starts its dependent task. Harness-agnostic protocol — each agent picks its own waiting…

not rated 32 +1 5d ago A tokens not measured original MIT

oborchers/fractional-cto

Plugin Claude Code

Bundles 13 skills, 1 command, 1 agent · 1,240 tokens together

Research-backed, opinionated guidance for designing world-class RESTful APIs — routes, naming, errors, auth, caching, webhooks, and more, distilled from Stripe, GitHub, Twilio, Shopify, Google, and Microsoft.

not rated 32 +1 5d ago A tokens not measured original MIT

oborchers/fractional-cto

Plugin Claude Code

Bundles 16 skills, 1 command, 1 agent · 1,611 tokens together

Research-backed, opinionated guidance for building cloud infrastructure that doesn't rot — multi-account governance, naming conventions, IaC organization, security, deployment pipelines, and operational hygiene, distilled from production experience across multiple cloud migrations.

not rated 32 +1 5d ago A tokens not measured original MIT

deep-research

04

oborchers/fractional-cto

Plugin Claude Code

Bundles 5 skills, 1 command, 3 agents · 1,317 tokens together

Structured deep research methodology for Claude Code — query decomposition, parallel web research with source verification, hallucination prevention, and synthesis into well-sourced documents.

not rated 32 +1 5d ago A tokens not measured original MIT

markdown-compressor

05

oborchers/fractional-cto

Plugin Claude Code

Bundles 1 skill, 2 commands, 2 agents · 619 tokens together

Compress LLM agent instructions and code documentation markdown files through iterative section-by-section compression with compressor-reviewer loop — lossless structural optimization and lossy semantic compression modes.

not rated 32 +1 5d ago A tokens not measured original MIT

planning-tools

07

oborchers/fractional-cto

Plugin Claude Code

Bundles 5 skills, 7 commands, 3 agents · 2,284 tokens together

Manage Claude Code's plan-mode artifacts, author multi-phase master planning documents, walk through open questions from any source (master plan, scope report, or the conversation itself), and synthesize dense progress entries to markdown / Linear / GitHub. Provides /plan-context (pre-load with optional ticket fetch).

not rated 32 +1 5d ago A tokens not measured original MIT

python-package

08

oborchers/fractional-cto

Plugin Claude Code

Bundles 13 skills, 2 commands, 1 agent · 1,598 tokens together

Research-backed best practices for building modern, production-grade Python packages — project structure, pyproject.toml, typing, testing, CI/CD, documentation, versioning, API design, packaging, security, and developer experience.

not rated 32 +1 5d ago A tokens not measured original MIT

retell

09

oborchers/fractional-cto

Plugin Claude Code

Bundles 2 skills, 1 command, 2 agents · 675 tokens together

Transforms Claude Code conversation transcripts into polished, first-person blog posts through an interactive 5-stage pipeline — parse, triage, outline, draft, polish — with human editorial gates at every stage.

not rated 32 +1 5d ago A tokens not measured original MIT

oborchers/fractional-cto

Plugin Claude Code

Bundles 1 skill, 1 command, 1 agent · 465 tokens together

Structured thinking methods that counteract LLM reasoning biases during problem exploration — first principles, inversion, constraint manipulation, perspective forcing, analogy search, and more, with user-gated parallel subagent exploration for deep dives.

not rated 32 +1 5d ago A tokens not measured original MIT

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