Skillscript – A declarative, sandboxed language for tool orchestration
Hi HN — I'm Scott. Skillscript is a small language I built to write what I want my local agent to actually do, in a form I can read and version, instead of hoping the model gets it right each time. The itch started with something small. I wanted my NanoClaw agent to run my morning brief the same way every day. Check overnight tickets, summarize the deploy pipeline, flag anything urgent. Every session, it would re-figure out how to do this from scratch, drift a little, and cost tokens for what's basically a fixed procedure. I could put it in a system prompt or an MD skill file, but those are…
Skillscript – A declarative, sandboxed language for tool orchestration launched on July 12, 2026 with 18 votes, #947 of 24,623 launches that month and more than 90% of that year's launches.
In plain words
Skillscript is a declarative, sandboxed programming language designed to specify how local AI agents should execute tasks consistently and repeatably. Built by Scott, it lets developers write fixed procedures—like daily status checks or data gathering workflows—in readable, versionable code rather than relying on language models to re-derive the same steps each time. The language enables autonomous execution of defined procedures while reducing token costs and allowing small local models to handle routine tasks efficiently before handing results to larger models for reasoning.
written from the facts on this page · September 2026
From the sources
Skillscript — a small declarative language for authoring agent workflows. Runtime, compiler, and CLI. - sshwarts/skillscript
In the maker’s words, at launch
Hi HN — I'm Scott. Skillscript is a small language I built to write what I want my local agent to actually do, in a form I can read and version, instead of hoping the model gets it right each time. The itch started with something small. I wanted my NanoClaw agent to run my morning brief the same way every day. Check…
Does a similar job
all alternatives →
SkillkitFeb 2026 · agenstskills.com · ▲252It's an open-source project that lets you create, translate, and work with multiple agents at the same time, and more.

Libretto – Making AI browser automations deterministicApr 2026 · github.com · ▲134Libretto (https://libretto.sh) is a Skill+CLI that makes it easy for your coding agent to generate deterministic browser automations and debug existing ones. Key shift is going from “give an agent a prompt at runtime and hope it figures things out” to: “Use coding agents to generate real scripts you can inspect, run, and debug”. Here’s a demo: https://www.youtube.com/watch?v=0cDpIntmHAM. Docs start at https://libretto.sh/docs/get-started/introduction. We spent a year building and maintaining browser automations for EHR and payer portal…
AI Agent Skills RefinerMar 2026 · skills-refiner.com · ▲85Skills with 210k GitHub Data & Translate/Refine &Benchmark
Sx – an open-source package manager for AI skills, MCPs, and commandsMay 2026 · github.com · ▲50Claude Code is amazing for individuals but terrible for teams. I spent the last six months building my perfect mix of MCP servers, subagents, commands and skills. Claude Code writes 100% of the code now, but sharing this with my team? Painful. 1. Blog posts and workshops don't work (and don't scale) 2. Committing tools to N repos means N PRs. A tool changes? N more PRs. 3. Same tools, different files or folders for each AI assistant; not everyone uses Claude Code It is like 1999 all over again; FTPing files up to prod and versioning with ".bak" suffixes. So I built sx. It is your team's…
20+ Claude Code agents coordinating on real work (open source)Feb 2026 · github.com · ▲53Single-agent LLMs suck at long-running complex tasks. We’ve open-sourced a multi-agent orchestrator that we’ve been using to handle long-running LLM tasks. We found that single LLM agents tend to stall, loop, or generate non-compiling code, so we built a harness for agents to coordinate over shared context while work is in progress. How it works: 1. Orchestrator agent that manages task decomposition 2. Sub-agents for parallel work 3. Subscriptions to task state and progress 4. Real-time sharing of intermediate discoveries between agents We tested this on a Putnam-level math problem, but the…
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