skill-builder: Build AI Agent Skills From Plain English
skill-builder scaffolds and audits production-ready skills for AI coding agents from a plain-English description — no boilerplate, no guesswork.
softco turns AI coding agents (Claude Code, Cursor, Cline) into a complete software firm that plans, codes, tests, and deploys — all from a single prompt.
softco turns AI coding agents (Claude Code, Cursor, Cline) into a complete software firm that plans, codes, tests, and deploys — all from a single prompt. Built by Shahriar Labs and open-sourced at github.com/shihabshahrier, softco is one of the most comprehensive agent skills in the ecosystem.
softco acts as PM, architect, senior engineer, DevOps, QA, security engineer, and tech writer — all roles, one skill. When you invoke softco on a task like "build a SaaS billing service," it produces: a spec doc, system design, implementation with tests, Dockerfile, CI config, and README. No context-switching between tools. No manual orchestration.
It enforces a docs-and-tests-first discipline: specs before code, tests before merge. This prevents the common agent failure mode of shipping code that works once but breaks on edge cases.
softco uses a multi-phase execution model:
softco is highest-ROI on greenfield SaaS features, API integrations, and infrastructure work — anything where you'd normally spend a sprint planning and a sprint implementing. It's not designed for one-line edits; use it when the scope is "build X from scratch" or "integrate Y end to end." Pair it with skill-builder if you need to extend softco with domain-specific capabilities.
For production AI agent architecture guidance, see our post on building production AI agents.
Written by Shihab Shahriar Antor — AI Engineer & Founder of Shahriar Labs. Building LetX, QuantumSketch, and open-source AI agent skills.
skill-builder scaffolds and audits production-ready skills for AI coding agents from a plain-English description — no boilerplate, no guesswork.
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