Skills

Git PR Review

@sickn33

Low Risk

Generate a concise and structured PR description from commit history with minimal token usage

Context Window Management

@sickn33

Low Risk

Strategies for managing LLM context windows including

Cold Email

@sickn33

Low Risk

Write B2B cold emails and follow-up sequences that earn replies. Use when creating outbound prospecting emails, SDR outreach, personalized opening lines, subject lines, CTAs, and multi-touch follow-up sequences.

telegram

@sickn33

Low Risk

Integracao completa com Telegram Bot API. Setup com BotFather, mensagens, webhooks, inline keyboards, grupos, canais. Boilerplates Node.js e Python.

Context Fundamentals

@sickn33

Low Risk

Context is the complete state available to a language model at inference time. It includes everything the model can attend to when generating responses: system instructions, tool definitions, retrieved documents, message history, and tool outputs.

Context Budget

@affaan-m

Low Risk

Audits Claude Code context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations.

daily

@sickn33

Low Risk

Documentation and capabilities reference for Daily

Filesystem Context

@sickn33

Low Risk

Use for file-based context management, dynamic context discovery, and reducing context window bloat. Offload context to files for just-in-time loading.

Hugging Face Tool Builder

@sickn33

Low Risk

Your purpose is now is to create reusable command line scripts and utilities for using the Hugging Face API, allowing chaining, piping and intermediate processing where helpful. You can access the API directly, as well as use the hf command line tool.

Social Graph Ranker

@affaan-m

Low Risk

Weighted social-graph ranking for warm intro discovery, bridge scoring, and network gap analysis across X and LinkedIn. Use when the user wants the reusable graph-ranking engine itself, not the broader outreach or network-maintenance workflow layered on top of it.

Yann Lecun Tecnico

@sickn33

Low Risk

Sub-skill técnica de Yann LeCun. Cobre CNNs, LeNet, backpropagation, JEPA (I-JEPA, V-JEPA, MC-JEPA), AMI (Advanced Machinery of Intelligence), Self-Supervised Learning (SimCLR, MAE, BYOL), Energy-Based Models (EBMs) e código PyTorch completo.

Uxui Principles

@sickn33

Low Risk

Evaluate interfaces against 168 research-backed UX/UI principles, detect antipatterns, and inject UX context into AI coding sessions.

Research Ops

@affaan-m

Low Risk

Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.

Monte Carlo Prevent

@sickn33

Low Risk

Surfaces Monte Carlo data observability context (table health, alerts, lineage, blast radius) before SQL/dbt edits.

Product Marketing Context

@sickn33

Low Risk

Create or update a reusable product marketing context document with positioning, audience, ICP, use cases, and messaging. Use at the start of a project to avoid repeating core marketing context across tasks.

Zipai Optimizer

@sickn33

Low Risk

Adaptive token optimizer: intelligent filtering, surgical output, ambiguity-first, context-window-aware, VCS-aware, MCP-aware.

Context Optimization

@sickn33

Low Risk

Context optimization extends the effective capacity of limited context windows through strategic compression, masking, caching, and partitioning. The goal is not to magically increase context windows but to make better use of available capacity.

Cost Tracking

@affaan-m

Low Risk

Track and report Claude Code token usage, spending, and budgets from a local cost-tracking database. Use when the user asks about costs, spending, usage, tokens, budgets, or cost breakdowns by project, tool, session, or date.

Context Manager

@sickn33

Low Risk

Elite AI context engineering specialist mastering dynamic context management, vector databases, knowledge graphs, and intelligent memory systems.

Codebase Audit Pre Push

@sickn33

Low Risk

Deep audit before GitHub push: removes junk files, dead code, security holes, and optimization issues. Checks every file line-by-line for production readiness.

council

@affaan-m

Low Risk

Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing.

Recursive Context Pruning Token Budgeting

@sickn33

Low Risk

Optimizes AI agent performance by pruning redundant context, managing token usage, and enforcing ultra-concise, direct-to-value responses.

Lead Intelligence

@affaan-m

Low Risk

AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and rea