npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2026 – Pkg Stats / Ryan Hefner

fable-skill

v1.0.1

Published

Claude Code skill: Fable-grade engineering discipline (explicit assumptions, scoped deliverables, evidence-backed reports) for any Claude model

Readme

fable-skill

A Claude Code skill that makes any Claude model (Sonnet, Opus, Haiku) exhibit the engineering discipline observed in Claude Fable 5 — explicit assumptions, scoped deliverables, evidence-backed reports.

Not roleplay. Not capability transfer. Model weights determine reasoning quality; no prompt changes that. This skill transfers the observable workflow: the output contracts and decision habits that stronger models follow natively and weaker models skip.

What it fixes (tested, not guessed)

Built with TDD for skills: baseline runs on Sonnet without the skill showed these failures; runs with the skill fixed them.

| Failure (baseline Sonnet) | With skill | |---|---| | Invents business decisions silently (stacking policies, limits, formats) | Assumptions section, one line each; asks when design-changing | | Builds unrequested scope, flags nothing | Minimum core + explicit "Extensions not built" list | | Verbose capability-prose reports | 4-part report contract, evidence first | | Success claims before running anything | "A claim with no observed output is a prediction, not a report" | | Narration preamble before the report ("Perfect! Let me...") | First-token rule: reply begins with the outcome word itself |

What it deliberately does NOT include: debug scaffolding, planning rituals, quality-gate checklists — baseline testing showed modern Sonnet already does these natively. Dead-weight instructions cost tokens and change nothing.

Install

skills.sh

npx skills add yatin-rai/fable-skill

npm

npm install -g fable-skill
# then copy the skill into your Claude Code skills directory:
# ~/.claude/skills/fable/SKILL.md

Manual

Copy skills/fable/SKILL.md to ~/.claude/skills/fable/SKILL.md.

Use

Automatic — triggers on engineering tasks with ambiguity or scope risk. Explicit: /fable <request>.

The skill detects the active model tier and scales scaffolding: Fable-class models get only the report contract (rest is native); Sonnet/Haiku get the full contracts.

Updating for future Fable generations

Prompt files cannot auto-fetch future model guidance — anyone claiming otherwise is selling magic. When a new Fable ships: run it on real tasks, diff its behavior against this spec, update the contracts. The contracts are built on enduring principles (evidence before claims, assumptions surfaced, scope bounded by the literal request), so they age slowly.

License

MIT