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Delegating to AI Agents

delegating-to-agents

sickn33/agentic-awesome-skills

Delegate bounded work to other AI agents while preserving context, file ownership, and progress checks. Covers agent selection, structured prompts, polling, remote VPS safety, and driving interactive CLIs.

Design-It UI Style Router

sickn33/agentic-awesome-skills

Design-It routes frontend design tasks to 48 specific UI styles, avoiding generic aesthetics. It triggers for websites, app screens, or UI components requesting a specific aesthetic. The skill guides AI agents to select appropriate color palettes, typography, and layout principles like the 60-30-10 rule. It supports various frameworks including React, Vue, and mobile platforms.

Developer Audience Context

developer-audience-context

sickn33/agentic-awesome-skills

Establishes and updates the foundational context for your target developer audience. Analyzes product materials, personas, pain points, and alternatives to create a comprehensive .agents/developer-audience-context.md file. Essential for starting other developer marketing skills to ensure consistent messaging and strategy.

Direct Prompt Injection Detection

direct-injection-detection

Tencent/AI-Infra-Guard

This skill involves testing AI agents for direct prompt injection vulnerabilities where user messages attempt to override system instructions. It focuses on role confusion and instruction hijacking without external content, ensuring agents maintain security boundaries against direct manipulation attempts.

Distributing Skills Across Multiple AI Agents

distribute-skill-to-all-agents

sickn33/agentic-awesome-skills

This guide details the comprehensive workflow for distributing a single AI skill across various local agent skill directories (Codex, Claude, Pi, Hermes). It addresses canonical locations, symlink management, and specific synchronization commands to ensure that all agents detect the latest skill version while correctly navigating common development pitfalls.

Ditto Coding Session Profile Miner

sickn33/agentic-awesome-skills

Ditto mines user words from local coding-agent session logs to create private work, design, and writing profiles. It requires explicit user approval before mining begins and keeps all data local. This skill routes a compatible Ditto runtime to extract patterns from real coding history rather than questionnaires, ensuring privacy and evidence-backed personalization for AI agents.

EAS Cloud Simulator for Mobile Apps

sickn33/agentic-awesome-skills

EAS Simulator runs remote iOS or Android emulators on EAS infrastructure, enabling developers to test apps via CLI, AI agents, or browser preview. It unlocks testing environments where local simulators cannot run, such as Linux or cloud agents. Use this to verify app changes remotely on real device environments.

ECL Harness Engineer

ecl-harness-engineer

sickn33/agentic-awesome-skills

Create or audit ECL Agent Harness infrastructure: AGENTS.md, change tracking, repository guidance, lint checks, CI gates, and agent handoff docs. Ensures AI agents can work reliably in a codebase.

Ejentum Reasoning Harness

ejentum-reasoning-harness

sickn33/agentic-awesome-skills

MCP server exposing cognitive harness modes for reasoning, code, anti-deception, and memory, returning task-matched scaffolds that help agents avoid attention decay, reasoning errors, sycophancy, and hallucination drift.

AI Scientific Thinking Protocol

sickn33/agentic-awesome-skills

This skill implements a five-stage scientific thinking protocol for AI agents to prevent unverified guesses. It guides agents to formulate falsifiable hypotheses, seek evidence, and draw calibrated conclusions, especially for high-stakes or ambiguous questions. It includes modes for incidents, simple facts, estimates, and deep analysis, ensuring rigorous reasoning before answering.

Feature Tracking and Memory Management

feature-tracking

sickn33/agentic-awesome-skills

Maintain durable feature-level memory across AI coding sessions using lightweight Markdown tracks. It organizes status, source-of-truth docs, decisions, risks, and changes for long-lived features. Helps AI agents resume work accurately without relying on chat history. Ideal for repositories needing structured project memory without reorganizing all documentation.

File Path Traversal Detection

file-path-traversal-detection

Tencent/AI-Infra-Guard

Detect unsafe file handling and path traversal vulnerabilities in upload, save, and extract flows. Focuses on user-controlled paths or filenames, providing probes to test if agents write outside intended directories. Useful for security assessment of AI agents with file handling capabilities.

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