Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
PersonaNexus ClawHub Skill
Build structured AI agent personalities using OCEAN, DISC, and Jungian frameworks. Define traits, communication styles, guardrails, and compile to system pro...
skill openclawclawhub Free
Build structured AI agent personalities using OCEAN, DISC, and Jungian frameworks. Define traits, communication styles, guardrails, and compile to system pro...
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- requirements.txt, personanexus_skill/validator.py, personanexus_skill/personality.py, personanexus_skill/compiler.py, personanexus_skill/__init__.py, personanexus_skill/conflict.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- jcrowan3
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
PersonaNexus -- AI Agent Identity Skill
PersonaNexus lets you define structured AI agent identities using YAML and business-grade personality frameworks (OCEAN Big Five, DISC, Jungian 16-type).
What This Skill Does
Define agent personalities using 10 canonical traits (warmth, directness, rigor, etc.) Map between OCEAN, DISC, and Jungian frameworks automatically Compile identity specs into system prompts for any LLM platform Validate identity files against a strict Pydantic schema
Setup
Install the skill's Python dependencies: pip install pydantic pyyaml typer rich Or if using uv: uv pip install pydantic pyyaml typer rich
1. Create an Agent Identity
Copy a template from templates/ and customize it: templates/minimal.yaml -- Start here (simplest possible agent) templates/full.yaml -- All sections filled out templates/ocean-example.yaml -- Using OCEAN Big Five framework templates/disc-example.yaml -- Using DISC personality framework templates/jungian-example.yaml -- Using Jungian 16-type framework
2. Validate the Identity
from personanexus_skill import IdentityValidator validator = IdentityValidator() result = validator.validate_file("my-agent.yaml") print(result.valid, result.errors, result.warnings)
3. Compile to a System Prompt
from personanexus_skill import parse_identity_file, compile_identity identity = parse_identity_file("my-agent.yaml") prompt = compile_identity(identity, target="text") # Targets: "text", "anthropic", "openai", "openclaw", "soul", "json", "markdown" print(prompt)
4. Use Personality Frameworks
from personanexus_skill import ( ocean_to_traits, disc_to_traits, jungian_to_traits, get_disc_preset, get_jungian_preset, ) # Get a DISC preset and convert to PersonaNexus traits disc = get_disc_preset("the_analyst") traits = disc_to_traits(disc) # Get a Jungian preset jungian = get_jungian_preset("intj") traits = jungian_to_traits(jungian)
CLI
The skill includes a CLI for common operations: python -m personanexus_skill --help
CLI Commands
CommandDescriptionvalidate FILEParse and validate a YAML identity filecompile FILE --target TARGETCompile identity to a system promptinit NAME --type TYPEScaffold a new agent identity YAMLpersonality ocean-to-traitsMap OCEAN scores to personality traitspersonality disc-to-traitsMap DISC scores to personality traitspersonality jungian-to-traitsMap Jungian scores to personality traitspersonality list-disc-presetsShow available DISC presetspersonality list-jungian-presetsShow available Jungian 16-type presets
CLI Examples
# Validate an identity file python -m personanexus_skill validate my-agent.yaml --verbose # Compile to Anthropic system prompt python -m personanexus_skill compile my-agent.yaml --target anthropic --output prompt.md # Compile to OpenClaw personality.json python -m personanexus_skill compile my-agent.yaml --target openclaw --output personality.json # Scaffold a new minimal agent python -m personanexus_skill init "My Agent" python -m personanexus_skill init "My Agent" --type full --output-dir ./agents # Personality framework tools python -m personanexus_skill personality disc-to-traits --preset the_analyst python -m personanexus_skill personality jungian-to-traits --preset intj python -m personanexus_skill personality ocean-to-traits \ --openness 0.8 --conscientiousness 0.7 --extraversion 0.4 \ --agreeableness 0.6 --neuroticism 0.3 python -m personanexus_skill personality list-disc-presets python -m personanexus_skill personality list-jungian-presets
The 10 Canonical Traits
TraitRangeDescriptionwarmth0-1Social warmth vs reservedverbosity0-1Detailed vs conciseassertiveness0-1Proactive vs reactivehumor0-1Playful vs seriousempathy0-1Emotionally attuned vs task-focuseddirectness0-1Blunt vs diplomaticrigor0-1Meticulous vs flexiblecreativity0-1Innovative vs conventionalepistemic_humility0-1Aware of uncertainty vs confidentpatience0-1Patient vs efficient
Compile Targets
TargetOutput FormattextPlain text system prompt (default)anthropicClaude-optimized with XML sectionsopenaiGPT-optimized plain textopenclawpersonality.json dictsoulSOUL.md + STYLE.md dictjsonFull identity + metadatamarkdownFormatted Markdown document
Minimal YAML Example
schema_version: "1.0" metadata: id: "agt_my_agent_001" name: "My Agent" version: "1.0.0" description: "A helpful assistant" created_at: "2026-01-01T00:00:00Z" updated_at: "2026-01-01T00:00:00Z" status: "active" role: title: "Assistant" purpose: "Help users with their tasks" scope: primary: ["general assistance"] personality: traits: warmth: 0.7 directness: 0.6 rigor: 0.5 communication: tone: default: "professional and friendly" principles: - id: "be_helpful" priority: 1 statement: "Always prioritize being genuinely helpful" guardrails: hard: - id: "no_harmful_content" rule: "Never generate harmful content" enforcement: "output_filter" severity: "critical"
External Endpoints
This skill does not make any network requests. All processing is local.
Security & Privacy
No data leaves your machine. PersonaNexus operates entirely on local YAML files. Identity files should not contain secrets or API keys.
Learn More
Full documentation, advanced features (inheritance, mixins, teams, drift detection), and the web UI are available in the main PersonaNexus repository: https://github.com/PersonaNexus/personanexus
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
5 Scripts1 Files
- personanexus_skill/__init__.py
- personanexus_skill/compiler.py
- personanexus_skill/conflict.py
- personanexus_skill/personality.py
- personanexus_skill/validator.py
- requirements.txt