---

name: openclaw-public-skill-registry
description: Use when discovering, searching, or referencing the OpenClaw public registry of community-authored and lawyer-verified legal AI skills. The registry provides versioned, quality-tiered skills covering MENA and global jurisdictions, seeded by HAQQ and extended by community contributors. Applicable whenever a user or system needs to discover what skills exist, verify a skill's provenance, or assess its quality tier before deployment.
license: MIT
metadata:
id: openclaw.public-skill-registry
category: openclaw
priority: P2
intent: [openclaw, registry, skill-discovery, community, legal-ai]
related: [openclaw-contrib-template, openclaw-eval-harness-shared, openclaw-skill-portability-claude-codex-gemini]
source: Louis — HAQQ Legal AI (github.com/sboghossian/mini-claude-for-legal)
version: "1.0"

OpenClaw — Public Skill Registry

Scope

The OpenClaw Public Skill Registry is the open, versioned, lawyer-reviewed catalogue of legal AI skills for the mini-claude-for-legal ecosystem. It is the authoritative source for:

• Discovering what skills exist across practice areas and jurisdictions
• Assessing skill quality before integrating into a product or workflow
• Attributing authorship to the lawyers and developers who contributed each skill
• Tracking versions and changes over time

The registry is free to use. Attribution to authors is required under CC-BY-SA 4.0.

Registry structure

Skills are organized into a two-level hierarchy:

skills/
  <category>/
    <skill-id>/
      SKILL.md          ← the enriched skill file
      CHANGELOG.md      ← optional; for skills with multiple versions
      examples/         ← optional; input/output samples

Categories currently in the registry:

Category	Description
draft	Document drafting skills (contracts, letters, motions)
review	Contract and document review / risk analysis
kb	Legal knowledge bases (statutes, frameworks, thresholds)
research	Regulatory lookup, comparative analysis
conversation	Behavioral and safety guardrails
router	Request routing and orchestration
connector	Tool and integration connectors
ops	Product operations and analytics
onboarding	User onboarding and activation
output	Formatting and output style standards
openclaw	Registry meta-skills (this file is one of them)

Quality tiers

Every skill in the registry carries a quality-tier marker in its frontmatter (priority field):

Tier	Meaning
P0	Core, production-ready. Lawyer-reviewed, eval-tested, actively maintained.
P1	Production-ready. Lawyer-reviewed; may not have full eval coverage.
P2	Community-contributed. Reviewed but narrower scope or less-tested.
P3	Experimental. Not yet reviewed; do not use in production without validation.

Authorship and attribution

Each skill's source field records the original author (name, GitHub handle, or organization) and any external source link. The registry also maintains a AUTHORS.md at the repository root listing every contributor with the skills they authored.

Attribution is required when:

• Republishing a skill in a product or document
• Deriving a new skill from an existing one
• Citing a skill's content in a benchmark or publication

HAQQ contributes the seed library — approximately 200 skills covering MENA jurisdictions, core contract types, and the ops/tooling layer. These are labelled source: Louis — HAQQ Legal AI and are maintained by the HAQQ team.

Searching the registry

By practice area

skills/draft/         ← all drafting skills
skills/kb/            ← all knowledge bases

By jurisdiction

Skills include a jurisdictions frontmatter field. To find all UAE skills:

grep -r "UAE" skills/*/*/SKILL.md

By intent keyword

grep -r "non-compete" skills/*/*/SKILL.md

Via the registry index

A machine-readable registry.json at the repository root indexes all skills with their metadata for programmatic discovery.

Versioning policy

• Skills are versioned with a quoted string in frontmatter (version: "1.0").
• Patches (typo, minor wording) increment to "1.0.1".
• New sections or additional jurisdictions increment to "1.1".
• Breaking rewrites of core guidance increment to "2.0".
• Deprecated skills are not deleted; they receive a deprecated: true flag and a superseded_by pointer.

Industry adoption goal

The registry aims to become the canonical community resource for legal AI skills — equivalent to what npm is for JavaScript packages or HuggingFace is for ML models, but scoped to legal AI skill definitions. Third-party products that embed OpenClaw skills are encouraged to display the quality tier and attribution information to their end users.

Caveats

• Skills in the registry are practitioner-grade tools, not legal advice. Users are responsible for verifying current law in their jurisdiction before relying on any skill's output.
• Jurisdiction coverage is uneven. MENA (especially UAE, KSA, Lebanon) is the most thoroughly covered; other jurisdictions rely more heavily on community contributions.
• Law changes. Check the version date and verify against primary sources for time-sensitive matters.

Related skills

• [[openclaw-contrib-template]] — how to contribute a new skill to the registry
• [[openclaw-eval-harness-shared]] — how skill quality is benchmarked
• [[openclaw-skill-portability-claude-codex-gemini]] — adapting registry skills across AI providers