Tao 3000 avatar

Tao 3000

Official

@tao3k

0Followers
|
66Public Repos
|
23Published Skills

Offers architectural analysis, semantic vector indexing, and repository-level code auditing for complex software engineering environments.

Skills Distribution
DomainDeveloper To...Codebase Architect.. (40%)Semantic Data Inde.. (30%)Repository Auditing (30%)

Agent Skills by Tao 3000

Showing 23 vetted skills indexed across 2 GitHub repositories.

tao3ktao3k
15

auditor_neuron

Audit Rust and Python code against architectural integrity and zero-copy standards.

Official
Advanced
tao3ktao3k
15

forge-evolution

Extract failure DNA from repeated agent failures to synthesize persona blueprints.

Official
Advanced
tao3ktao3k
15

skill2

Apply a deterministic string transform via a Python process function.

Official
Basic
tao3ktao3k
15

skill1

Process input strings into deterministic output for tests and workflows.

Official
Basic
tao3ktao3k
15

researcher

Execute research graphs and orchestrate sequential research tasks.

Official
Basic
tao3ktao3k
15

research

Analyze data topology and relationships to derive actionable insights.

Official
Basic
tao3ktao3k
15

paper-banana

Generate NeurIPS-styled BPMN/DMN diagrams with XML outputs and audit traces.

Official
Advanced
tao3ktao3k
15

memory

Store and retrieve short-term operational memories as semantic vectors.

Official
Intermediate
tao3ktao3k
15

skill

Discover @omni tools and generate exact usage templates with input schemas.

Official
Advanced
tao3ktao3k
15

embedding

Convert text into fixed 2560-dimension vectors for semantic search and similarity.

Official
Intermediate
tao3ktao3k
15

knowledge

Retrieve project documentation and coding standards via hybrid search.

Official
Advanced
tao3ktao3k
15

demo

Demonstrate UltraRAG tracing of LangGraph pipelines with YAML tests.

Official
Advanced
tao3ktao3k
15

software_engineering

Analyze codebase architecture, patterns, and tech stacks across languages.

Official
Intermediate
tao3ktao3k
15

python_engineering

Automate Python linting, formatting, and type checking with ruff, black, and pyright.

Official
Intermediate
tao3ktao3k
15

documentation

Enforce a Knowledge Harvest workflow with frontmatter and naming conventions.

Official
Intermediate
tao3ktao3k
15

crawl4ai

Crawl a target URL and generate a lightweight page skeleton for targeted extraction.

Official
Advanced
tao3ktao3k
15

_template

Scaffold a new skill project skeleton with scripts, tests, and SKILL.md manifest.

Official
Intermediate
tao3ktao3k
15

advanced_tools

Locate files and search code across large projects with fd and ripgrep.

Official
Advanced
tao3ktao3k
15

code_tools

Search code repositories by structure, semantics, or exact text.

Official
Advanced
tao3ktao3k
15

omniCell

Execute system commands and Nushell scripts, returning structured JSON results.

Official
Intermediate
tao3ktao3k
15

rust_engineering

Analyze Rust Cargo dependencies and project structure to plan builds.

Official
Intermediate
tao3ktao3k
15

writer

Lints writing style and validates Markdown structure for documentation workflows.

Official
Advanced
tao3ktao3k
15

git

Identify and activate Git tasks for committing, branching, pushing, and PR management.

Official
Advanced

Frequently Asked Questions About Tao 3000

FAQPage Schema
What specific technical tasks can I perform using Tao 3000?

You can perform deep codebase architectural analysis, audit Rust and project dependencies, generate BPMN/DMN diagrams, and execute semantic vector searches across documentation. It enables precise repository navigation using ripgrep and fd, alongside structured system command execution via Nushell.

Which personas benefit most from these engineering capabilities?

Software architects, senior backend engineers, and technical auditors benefit from these capabilities. The system is designed for professionals managing large-scale repositories who require automated architectural integrity checks, dependency analysis, and structured documentation harvesting.

What are the primary prerequisites for integrating these capabilities?

Integration requires a local environment capable of executing Nushell, Rust Cargo, and standard repository management utilities. Users must ensure their codebase adheres to the defined frontmatter and naming conventions to enable effective knowledge harvesting and semantic vector indexing.