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Claude Code Performance Monitor

sickn33/agentic-awesome-skills

This skill monitors the performance of Claude Code and your local system environment. It diagnoses slowness, measures CPU, RAM, and disk usage, checks API latency, and generates system health reports. It helps identify bottlenecks like high CPU usage, memory pressure, or network latency affecting your coding workflow.

Context Agent for Session Continuity

sickn33/agentic-awesome-skills

This skill acts as a context agent ensuring continuity between AI coding sessions. It automatically saves session summaries, decisions, and pending tasks to local storage and MEMORY.md. Upon starting a new session, it loads a detailed briefing to restore context. Features include full-text search, archiving, and maintenance tools for managing long-term project memory within the Claude Code environment.

Context Manager

context-manager

sickn33/agentic-awesome-skills

Elite AI context engineering specialist mastering dynamic context management, vector databases, knowledge graphs, and intelligent memory systems. Provides best practices for orchestrating complex AI workflows, optimizing context windows, and integrating enterprise knowledge bases.

LLM Conversation Memory

conversation-memory

sickn33/agentic-awesome-skills

Provides tiered persistent memory patterns for LLM conversations, including short-term, long-term, entity memory, storage, retrieval, and consolidation.

C++ Idiomatic Coding Guidelines

sickn33/agentic-awesome-skills

This skill provides comprehensive guidelines for writing idiomatic and efficient C++ code. It covers memory management, modern types, move semantics, templates, error handling, and concurrency. Use it to improve code safety, readability, and adherence to modern C++ standards.

CrewAI Multi-Agent Workflows

sickn33/agentic-awesome-skills

Design role-based AI agents, tasks, crews, and flows with CrewAI. Covers agent personas, task dependencies, sequential and hierarchical orchestration, memory, tools, and complex workflow automation in Python.

Digital Forensics & Incident Response

digital-forensics

sickn33/agentic-awesome-skills

Authorized digital forensics workflow: memory dumps with Volatility, disk and super-timelines, PCAP investigation with tshark, Windows artifact triage, and chain-of-custody evidence preservation.

Django Performance Code Review

django-perf-review

sickn33/agentic-awesome-skills

This skill audits Django codebases for critical performance bottlenecks like N+1 queries, unbounded querysets, and missing database indexes. It ensures verified findings through data flow tracing and workload analysis, focusing on ORM optimization and database efficiency to prevent timeouts and memory exhaustion.

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.

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.

GCP Cloud Run Serverless Development

sickn33/agentic-awesome-skills

This skill enables building production-ready serverless applications on Google Cloud Platform using Cloud Run. It covers containerized services, event-driven functions, cold start optimization, and Pub/Sub integration. Includes guidance on memory management, concurrency settings, and scaling bottlenecks to ensure efficient deployment and cost control.

GDB Debugging Assistant for C/C++

sickn33/agentic-awesome-skills

An advanced debugging skill designed for AI agents. It utilizes gdb-cli to provide intelligent assistance for C/C++ programs, enabling the analysis of core dumps, debugging live processes, and investigating complex issues like crashes, deadlocks, and memory corruption. It correlates runtime state inspection with source code context for deeper insights.

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