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darelabs-tech

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@darelabs-tech

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48Published Skills

Standardized software engineering methodology providing architectural enforcement, DAG-based task orchestration, and semantic codebase analysis for enterprise development teams.

Skills Distribution
DomainDeveloper To...Architectural Enfo.. (40%)Task Orchestration (30%)Codebase Analysis (30%)

Agent Skills by darelabs-tech

Showing 48 vetted skills indexed across 1 GitHub repositories.

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dare-execute

Implement approved task specifications into code and validate through automated test cycles.

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Advanced
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dare-design

Generate structured design documents from software requirements with Markdown output.

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Intermediate
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dare-laravel-api

Standardize Laravel 11 RESTful APIs with layered architecture and strict typing.

Official
Advanced
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dare-bench

Execute deterministic verification harnesses to measure fix-rate and solve-rate against versioned code fixtures.

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Intermediate
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dare-dag-build

Regenerate dare-dag.yaml from BLUEPRINT.md with validated task dependencies.

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Advanced
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dare-dag

Analyze and visualize static Directed Acyclic Graphs of tasks from DARE project configurations.

Official
Intermediate
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dare-tasks

Decompose BLUEPRINT.md into atomic tasks and YAML DAG configurations.

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Advanced
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dare-quality-telemetry

Aggregate DARE-compliant module quality metrics and compare against historical baselines.

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Advanced
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skill-mcp-server

Standardize Model Context Protocol server development with tools, resources, and prompts.

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Advanced
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dare-docker

Generate optimized Dockerfiles and docker-compose configurations for Rust, Python, PHP, and Node.js stacks.

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Advanced
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dare-dashboard

Serve a read-only local web interface for DARE CLI telemetry and project state.

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Basic
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dare-feature-design

Generate structured implementation plans for new software features.

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Intermediate
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dare-ai

Provide terminal-based access to AI providers and diagnostic utilities for the DARE CLI ecosystem.

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Intermediate
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dare-skill

Manage DARE-compatible skill units in a project directory.

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Basic
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dare-update

Synchronize project artifacts and configuration files with the installed DARE CLI version.

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Basic
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dare-info

Diagnose DARE CLI installation and project configuration integrity.

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Basic
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dare-rust-workspace

Standardize single-crate Rust projects into multi-crate Cargo workspaces.

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Advanced
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dare-layered-design

Enforce Handler-Service-Repository-Model architecture via static source analysis.

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Advanced
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dare-discover

Detect technology stacks and initialize DARE methodology artifacts in existing projects.

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Intermediate
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dare-patterns

Mine brownfield software patterns via AST analysis to generate architectural documentation and JSON facts.

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Intermediate
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dare-blueprint

Generate structured technical blueprints with data models, API endpoints, and security protocols.

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Advanced
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dare-dag-run

Execute YAML-defined DAG tasks with the DARE CLI orchestrator.

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Advanced
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dare-graph

Query and visualize project knowledge graphs with Mermaid diagrams.

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Intermediate
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dare-security

Integrate security validation gates into the DARE development lifecycle.

Official
Advanced

Frequently Asked Questions About darelabs-tech

FAQPage Schema
What specific tasks can be managed using this methodology?

The system enables structured decomposition of requirements into atomic tasks, execution of topological DAG-based development cycles, enforcement of layered architectural standards, and automated security validation gates for staged code changes.

Which engineering personas benefit from these capabilities?

Software architects, lead developers, and systems engineers utilize these capabilities to standardize project structures, enforce consistent design patterns across teams, and maintain high-fidelity technical documentation for complex, multi-crate or multi-service repositories.

What are the primary prerequisites for implementation?

Implementation requires a project directory initialized with a DARE configuration file and adherence to the defined blueprint structure. The system relies on local environment execution for DAG task processing and static analysis of source code.