By ravenoak
Use when stress-testing a conclusion, auditing a complex claim, mapping a multi-actor system, or spotting motivated reasoning — when rigor matters more than speed. Skip for time-pressured decisions, mechanical tasks, lookups, or when the user wants a recommendation rather than a tour of considerations.
A multi-format LLM skills marketplace. One portable source compiles to Claude Code Skills, Claude Code Plugins, OpenAI GPTs/Apps, and a vendor-neutral portable format.
Repository: https://github.com/ravenoak/llm-skills
Early release. The first shipping skill is reasoning-framework; more skills will land against the same spec and pipeline.
The same source compiles to several runtimes — pick the path that matches yours. Full instructions for every target are in docs/installing.md.
In an interactive Claude Code session:
/plugin marketplace add ravenoak/llm-skills
/plugin install reasoning-framework@ravenoak-llm-skills
Each skill is its own installable plugin, with its own version. That means skills ship on independent cadences — reasoning-framework can bump 0.2 → 0.3 without forcing the others to rev (and vice versa); installs of one don't pin the others. Pick what you want; nothing is all-or-nothing. /plugin marketplace update ravenoak-llm-skills picks up new releases. Releases are tagged v*.*.*; the latest tag is the source of truth.
Drop the committed SKILL.md into your project's or user-wide skills directory:
mkdir -p ~/.claude/skills/reasoning-framework
curl -L \
https://raw.githubusercontent.com/ravenoak/llm-skills/main/plugins/reasoning-framework/skills/reasoning-framework/SKILL.md \
-o ~/.claude/skills/reasoning-framework/SKILL.md
For each skill that opts into the openai-gpt target, dist/openai/<id>/ ships a manifest.json and instructions.md. Paste them into a custom GPT's configuration. See docs/installing.md. Status: artifacts are emitted by the build but have not yet been confirmed end-to-end against the OpenAI GPT builder.
The vendor-neutral artifact lives at dist/portable/<id>/skill.json; it validates against spec/skill.schema.json. Status: schema validates, but no external consumer has been tested.
Once installed, the skill activates from its description (the trigger phrase Claude reads). Each skill's SKILL.md documents what it's for, when to use it, and when to skip it. For example, reasoning-framework activates when stress-testing a conclusion or auditing a complex claim, and is meant to be skipped for time-pressured decisions or mechanical lookups.
brew install go-task # or: go install github.com/go-task/task/v3/cmd/task@latest
task setup # installs Node + Python tooling
task check # runs CI gate locally
spec/ — the canonical portable skill format (JSON Schema)plugins/<id>/ — per-skill plugin source + committed Claude artifacts (each is a standalone Claude Code plugin)tools/ts/ — skillsmith CLI (npm)tools/py/ — llm-skills CLI (PyPI)dist/ — build outputs for OpenAI and portable targets (gitignored)docs/installing.md — install and update instructions for every targetdocs/authoring.md — write a new skilldocs/targets/ — per-target build details (Claude skill, Claude plugin, OpenAI GPT)docs/governance.md — release and contribution policydocs/superpowers/specs/2026-05-21-llm-skills-host-design.md — original design specMIT — see LICENSE.
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