Embed a self-contained PUA engine into a target agent.
npx skills add https://github.com/sandmark78/workspace --skill shot
Please help me install this Agent Skill. Skill: shot Source: https://github.com/sandmark78/workspace/tree/main/skills/shot Command: npx skills add https://github.com/sandmark78/workspace --skill shot
This skill provides a self-contained PUA engine that can be injected into a sub-agent, enabling instant activation of a dense, high-impact set of prompts with zero external references.
Invoke the shot skill to inject the full PUA guidance into the sub-agent context in one go.
High-intent search queries and answers about installing and using this skill.
Automating prompt injection for sub-agents without external dependencies requires a self-contained engine that loads all protocols internally, ensuring immediate full-context activation with safety and logging controls.
A zero-dependency instruction set for multi-level agent orchestration is a dense, self-contained protocol that embeds P7/P8/P9/P10-style prompts directly into the agent context for rapid hierarchical behavior activation.
Setting up a single-file PUA engine for immediate agent activation involves invoking the skill to inject the full guidance protocol into the sub-agent context in one go, requiring no external references.
The four-layer PUA protocol works for complex hierarchical task orchestration by supporting multi-level role interactions, allowing dense prompt sets to activate across P7/P8/P9/P10-style agent roles seamlessly.
Limitations of embedding a self-contained PUA engine include its dense, zero-dependency design which requires careful management of safety and logging controls to prevent unintended behavior activation across sub-agent workflows.
maruakshayAudit CrewAI agent systems for role-boundary violations and prompt-injection risks.
handsomelong922Inject a self-contained PUA prompt payload into sub-agents.
RhettArkOrchestrate multi-agent workflows with the OpenAI Agents SDK in Python.
riftzen-bitAbstract external dependencies in Swift projects using focused protocols.
