How does this skill avoid incorrect agent selection?

It uses semantic analysis of the task requirements and context rather than simple keyword matching, preventing the selection of specialized agents based on accidental mentions.

Does this skill automate the agent selection process?

Yes, when executing implementation plans via the /cipherpowers:execute command, this skill's logic is applied automatically using hybrid keyword and LLM analysis.

What is the difference between the technical-writer and the summarise command?

The technical-writer agent is reactive to code changes and syncs official documentation, while the /summarise command is used to capture personal learning and investigation insights.

When should I use the ultrathink-debugger agent?

Use it for complex, multi-layered issues such as production failures, race conditions, or environment-specific bugs that require deep investigation rather than simple fixes.

Which agent should I use for Rust development?

The rust-agent is specifically designed for all Rust tasks, as it enforces Test-Driven Development (TDD) and mandatory code review discipline.

Agent Selection Logic

Name: Agent Selection Logic
Author: cipherstash

bycipherstash

•

生産性とワークフロー

Optimizes task delegation by identifying the most suitable specialized agent based on task complexity, technology, and context.

概要

The Selecting Agents skill provides a robust decision-making framework for dispatching work to the most effective AI specialist within the CipherPowers ecosystem. By moving beyond naive keyword matching, it utilizes semantic understanding to determine whether a task requires the deep investigation of the ultrathink-debugger, the TDD-driven discipline of the rust-agent, the systematic documentation of the technical-writer, or the critical oversight of review-specific agents. This ensures that every development task is handled by an agent optimized for that specific workflow, significantly increasing development velocity and maintaining high code quality across complex projects.

主な機能

Context-aware differentiation between simple fixes and complex investigations
Strategic guidance for balancing documentation updates with work summaries
4 GitHub stars
Automated agent selection during implementation plan execution
Specialized routing for Rust development and technical documentation sync
Semantic task analysis to prevent incorrect agent dispatch

ユースケース

Deciding when to trigger a deep-thinking debugger versus a general-purpose agent for production issues.
Ensuring Rust-specific development tasks are routed to agents that enforce Test-Driven Development (TDD).
Validating implementation plans with a review specialist before moving to the execution phase.

概要

主な機能

Context-aware differentiation between simple fixes and complex investigations
Strategic guidance for balancing documentation updates with work summaries
4 GitHub stars
Automated agent selection during implementation plan execution
Specialized routing for Rust development and technical documentation sync
Semantic task analysis to prevent incorrect agent dispatch

ユースケース

Deciding when to trigger a deep-thinking debugger versus a general-purpose agent for production issues.
Ensuring Rust-specific development tasks are routed to agents that enforce Test-Driven Development (TDD).
Validating implementation plans with a review specialist before moving to the execution phase.